For over a decade, Amazon RDS (Relational Database Service) has been a popular managed database service companies have used to set up, operate, and scale databases for web and mobile applications. However, modern, high-scale applications can have upward of tens of thousands of clients. This means that maintaining direct connections between the database and application can quickly begin to consume more resources than the query executions themselves.
Helm is a package manager that makes it easy to deploy and manage Kubernetes applications. Our new Helm integration allows you to monitor the availability and status of the Helm-managed applications deployed in your Kubernetes clusters. In this post, we’ll show you how you can visualize the status of your Helm releases and use monitors to notify you of important changes in your Helm environment.
Are you looking for an alternative to Netlify for your Jamstack sites? If the answer is yes you are in the right place. In this post, we compare Netlify with Cloud 66 and guide you through the process of moving your site from Netlify to Cloud 66 in a few easy steps.
HAProxy 2.6 is now available! As always, the community behind HAProxy made it possible to bring the enhancements in this release. Whether developing new functionality, fixing issues, writing documentation, QA testing, hosting CI environments, or submitting bug reports, members of our community continue to drive the project forward. If you’d like to join the effort, you can find us on GitHub, Slack, Discourse, and the HAProxy mailing list.
Whether you’ve just started your observability journey or haven’t started one at all, Techstrong Research is here to help the industry gain insights into observability with their “Observability at the Speed of Innovation 2022” survey, sponsored by StackState. Techstrong Research, an industry analyst and consulting group focused on the business outcomes of disruptive technologies, is researching where organizations are in their observability journey.
We have been busy at work in May creating new features and squashing bugs to delight those who use or have not yet started using Kubernetes. Finally, you can start finding Shipa back at in-person events, we just returned from Southern California at JFrog swampUP. We had many great conversations about what we have been working on, especially announcing the general availability of Shipa Insights, today!
The recent market turmoil has everyone from developers to CTOs and founders asking themselves a fundamental question “Is our cloud-deployment strategy recession proofs, and if not, how can we adapt to the new market realities?” Within enterprises of all sizes, leaders are asking hard questions, looking for ways to cut costs without negatively impacting growth.
In this tutorial, I will show you how to set up a continuous deployment pipeline to deploy a Laravel application to the Heroku platform with minimum hassle. Automating deployment helps teams limit human intervention during the deployment process, reducing the risk of errors and streamlining the entire software release process.
Today’s developers use tools such as VMware Tanzu Application Platform and the Spring framework to build modern applications. However, to build best-of-breed, intelligent, data-centric applications, developers must utilize a unified, in-memory data layer. This enables development teams to truly scale their applications with the pace of business, especially when that business extends across the globe.
GitLens is a Git extension that integrates seamlessly with Visual Studio Code. In fact, with over 14 million installs, it’s one of the most popular Git extensions on the VS Code Marketplace. GitLens earned its popularity because of its ability to unlock valuable authorship information, helping users navigate a project’s revision history, and much more.
In this episode, we chat with Cisco’s head of developer content, community, and events, Michael Chenetz. We discuss everything from KubeCon to kindness and Legos! Michael delves into some of the main themes he heard from creators at KubeCon, and we discuss methods for increasing adoption of new concepts in your organization. We have a conversation about attending live conferences, COVID protocol, and COVID shaming, and then we talk about how Legos can be used in talks to demonstrate concepts.
Network configuration management is a function that comprises assortment, monitoring and storage of information about every component that forms a network. The true purpose of such a solution is to come alive in time of any eventuality; it could be the need to update, upgrade, recover or could even be disaster management. The solution will provide all pertinent information at the hands of the IT operations team, enabling them to decide the course of action going forward.
Kubernetes is currently the de-facto container orchestration system on the market. Both small and large companies adopt it, and all major cloud providers offer it as a service. However, Kubernetes is a complex and layered platform, so you can’t just jump into it. There are three essential stages for each application: design, deployment, and operation. This blog post will focus on operation, where you need to monitor and troubleshoot your deployed applications.
Welcome to the concluding chapter of this journey on embedded Linux development with Ubuntu. We covered a lot of ground, so let us quickly recap what we learned so far. In Part I we introduced Snaps, software packages designed for the world of IoT. Snap packages isolate and encapsulate an entire application, increasing the security and stability of embedded devices. Snapcraft is the command-line tool to build snaps.
Multi cloud has long been a contentious topic when you talk about cloud infrastructure. Infrastructure as code tools such as Terraform and Pulumi have made deploying to any cloud much easier - you can now use a single interface to deploy infrastructure to virtually any cloud environment. However, the effort of creating infrastructure for each cloud provider still requires significant expertise and time to get right, leading many to see it as a effort not worth taking.
Kubernetes is today’s leading container management platform, due to its comprehensive API and developer-friendly features. Using Kubernetes, you can create scalable and reliable applications that run on-premises systems and public clouds. Its out-of-the-box features allow it to distribute hundreds of instances over data centers and keep them up and running. In order to catch up with the automation level of Kubernetes, developing and deploying applications requires more autonomy.
Service level objectives (SLOs), and the subsequent service level indicators (SLIs) are the foundation to establishing a strong SRE culture and how they promote accountability, trust and timely innovation. We are on a mission to simplify SLO and Error Budget tracking and with that aim in mind, we have added the SLO Tracker feature to the Squadcast platform. SLO Tracker seeks to provide a simple and effective way to keep track of your error budget burn rate without the hassle of configuring and aggregating multiple data sources.
Enterprises spent US$178 billion on cloud infrastructure services in 2021, 37% more than in 2020. And “global spending on cloud services is expected to reach over US$482 billion in 2022.” Clearly the use of cloud services is on the rise. But what are cloud services exactly, and why are they beneficial? Cloud services are infrastructure, platforms, or software that are hosted by third-party providers and made available to users through the internet.
PlanetScale is a serverless, MySQL-compatible database platform powered by Vitess. PlanetScale handles database scaling while also providing you with the tools to increase your development velocity, such as branching, non-blocking schema changes, automatic backups, built-in connection pooling, as well as a helpful interface and CLI. Datadog’s new integration gives you deep visibility into your PlanetScale databases, so you can optimize your usage and costs.
Writing tests in any programming language can be difficult, but it does not have to be. In this tutorial, I will show you how you can easily write and run tests using Flask and Pytest. As a bonus, we will also integrate a CI/CD pipeline to run tests on a Flask app using CircleCI. Be sure to check out our other Flask tutorials to learn about application logging, authentication decorators, and automating Flask deployments.
Linux Active Directory integration is one of the most popular and requested topics from both the community and our clients. On May 17 we delivered a webinar on the new AD integration features introduced with 22.04 (now available on demand) and following that we received an overwhelming number of questions. In this blog post we would like to address directly the most frequent ones
Welcome to Part II of this three-part mini-series on embedded Linux development on Ubuntu. In Part I, we set the stage for the remainder of the series and gave an overview of snaps, the packaging format at the heart of embedded devices running Ubuntu. Snaps are a secure, confined, dependency-free, cross-platform Linux packaging format. Software publishers often want to manage their application components using containers.
So far in this series, you have learned why it’s important to understand how to use the command line, some command line basics and shell commands, and all about running CLI-based applications and command line tools. In this part of our CLI intro series, you are going to learn the basics of customizing your shell user experience. In this part of the CLI intro series, we’re going to focus on.
Site Reliability Engineers (SREs) have a considerable set of tasks to juggle no matter where they work or how long their company has had an SRE practice. But if you’re the very first SRE to join an organization – as many SREs are these days, given that the SRE trend is trickling down into smaller and smaller companies – you face a special group of challenges. You may find it difficult to get buy-in for SRE from other technical teams.
Having trouble deploying Kubernetes in a highly available mode and have a backing remote database? This blog is for you. I will explain how to deploy K3s in HA configuration with an external database Postgres. K3s is a certified Kubernetes distribution for IoT and Edge computing. I deployed it on virtual machines in an IBM Z mainframe. Instead of etcd, I choose Postgres as my storage for my K3s clusters. I deployed Postgres in non HA mode.
It is an exciting time to be a startup. Our vast technological landscape has made powerful digital tools available to businesses of all sizes, making starting (and scaling) an organization easier than ever before. In an era where technology is a fundamental building block of almost every business, methodologies like DevOps have become ubiquitous across many industries.
SLAs, SLOs and SLIs are fundamental to site reliability engineering (SRE), but what are they and why are they important for delivering services?
To keep ahead of the curve, many organizations are looking at how to evolve their technical processes to accelerate their IT infrastructure development. Fast and robust deployments to the latest platforms are key to achieving the low lead times that enable this evolution. Two of the most widely-used technologies to host these deployments are serverless functions and containers. What are they, how do they differ, and how do you decide which is best for your application?
After two years of virtual editions, KubeCon + CloudNativeCon Europe returned as a hybrid event, with its in-person portion held in Valencia, Spain, from May 16-20. As platinum sponsors of this year’s conference, Datadog held a booth where we showcased the latest updates to our Kubernetes monitoring solution, including the new Kubernetes resources overview, improved OpenTelemetry support, and the latest version of the Datadog Operator for Kubernetes.
Welcome to this three-part mini-series on embedded Linux development on Ubuntu. Throughout this series, we will discuss the key challenges of traditional software distribution mechanisms for embedded Linux devices. We will understand why legacy development and update approaches do not suit the Internet-of-Things (IoT) world and assess how Ubuntu simplifies and secures embedded Linux development.
The software is getting more and more complicated and so is the infrastructure behind it. It is no longer what it used to be with a single web or application server and a database backing it up. Throughout the years, the infrastructure has become more and more complicated. We have multiple databases, queues, datastores, search engines, and configurations. We want to incorporate continuous delivery and automated testing and deploy everything easily.
We believe incident.io should be used across an organisation, from SRE teams to Customer Success and People Ops. Until now, the way you set up your incident response flows has relied on having one set of roles and fields for every incident, meaning you have to choose between having lots of irrelevant fields to cover every use-case, or not getting the full incident.io experience on some incidents. That’s changing today with incident types, conditional fields and roles!
One of the best things about Kubernetes is just how absurdly flexible it is. You, as an admin, can shape what gets deployed into what is the best for your business. Whether this is a basic webapp with just a deployment, service and ingress; or if you need all sorts of features with sidecars and network policies wrapping the serverless service-mesh platform of the day. The power is there.
Any engineered system does not guarantee 100% uptime. There are bound to be some unforeseen system failures that cause downtime for the customers or create a poor customer experience. It is, therefore, best practice to take into account a margin for plausible failures. An error budget is this margin of error that the customer is informed about beforehand to secure tolerance during system failure for a decided number of hours.
A Service Level Agreement (SLA) consists of many service commitments. It is an essential part of a contract to outsource software development or software support between two or more parties, specifying the duties and the quality and type of service a company would provide for a fee to a customer.
Recent events of the pandemic have facilitated a rapid implementation of remote working tools, causing an increase in ransomware attacks – businesses suffer from financial and data losses. In order to prevent such attacks, companies must not only educate their employees about best cybersecurity practices but also embed professional security solutions within the internal business processes and systems.
It is always helpful to know which version you are running of some software, even more so when running development versions. So it’s good if software is able to tell you its version, for example by calling it with --version. For release versions, maintaining this information by hand is feasible, but in order for development versions to show exact revision information, you need some automation, otherwise updating it will be forgotten, leaving you with wrong information.
Canonical’s UA and Pro customers can now fully benefit from their subscriptions directly in containerised environments and pipelines. The new UA client release (27.7+) makes it easier to enable FIPS mode in Ubuntu containers. It also automatically signs up CI/CD builds for 10-year security updates to never worry about production container images getting timely patches for high and critical CVEs.
At a going away party from a job I was leaving a few years back, my VP of engineering told a story I didn’t even remember but that I know subconsciously shaped how I viewed my role on that team: Toward the end of my very first day at the company, there was some internal system issue, and with pretty much zero context, I pulled out my laptop, figured out what was going on, and helped fix the issue.
Cloud 66 offers a range of deployment options for Rails applications, each offering different benefits and trade-offs.
Monitoring is an essential function of enterprise SRE teams and a critical component of business service deliverability. Its importance has only grown as enterprise environments and technologies continue to evolve at a rapid pace. Unfortunately, traditional monitoring is no longer enough.
I work on the Solutions Architects team here at Puppet. We are sometimes the first line of defense in solving some of our customers' most challenging or unique problems, and every so often, we see trends in problems that we'd previously considered to be edge cases. For example, cCustomers often ask us two questions: How can we connect external configuration data to Puppet? How can we speed up changing their own configuration for service owners without onboarding them to Git approval processes?
On May 11th, at Intel Vision, Densify won Intel Partner of the year for Software Innovation. This award recognizes the impact of our jointly developed offering: Intel Cloud Optimizer (ICO). <="" a=""> Working with Intel we launched a program for enterprise customers that combines Densify analytics software and Intel expert guidance to help match customer workloads with the cloud instances that enable the best performance at the lowest possible cost.
Since its emergence in the mid-2000s, the cloud computing market has evolved significantly. The benefits of reliability, scalability, and reduced set-up costs have created a demand to fuel an ever-growing range of “as-a-service” offerings, resulting in an option to suit most requirements. But despite the advantages, the question of cloud or on-premise remains valid.
Monitoring and visibility are dead. If you don’t have Full Stack Observability (FSO) you may as well just pack up and go home. Your business will fail, and you will be unemployed with no hope for the future. At least, that is what vendors currently pitching FSO would have you believe. But what is full-stack observability? Observability is the current buzzword in the monitoring industry, and full-stack observability is what vendors are currently focusing on.
OpenTelemetry (OTel) is an emerging industry standard that dev teams use to instrument, generate, collect, and export telemetry to better understand software performance and behavior. At Helios, we leverage OTel to provide developers with actionable insights into their code within distributed systems. We give them visibility into how data flows through their applications, enabling them to quickly identify, reproduce and debug issues in their flows.
Do new users created on one domain controller (DC) of an Active Directory (AD) environment, ever get erroneously deleted only after a few minutes by DCs of other sites within an AD forest? Do changes made in a particular AD site ever get rewritten by DCs in other sites? Can AD objects be erroneously identified? Can more than one AD user account, for example, with all its associated attributes, be a replica of another user account?
In this article, you will learn about some of the tools to test microservices running in a Kubernetes cluster. In particular, we will compare the Speedscale CLI tool with other tools and the main benefits of using Speedscale CLI. In the last few years, software companies have been shifting from building monolith applications to utilizing smaller microservices. In a microservices architecture, you operate with decentralized applications. This means that there's a separation in which each service is responsible for a specific component of your application.
IT software deployment is a necessity in any organization’s IT environment. Software deployment can either make or break the transitions between software, which significantly affect business operations. That is why it’s essential to have a solid software deployment process in place.
When you’re using an application or tool, it’s very important to make sure things are working as they should. For this reason, health checks are critical. A health check is when an application or tool checks its own components and dependencies, then either publishes or exposes a notification method if there is a problem.
If you are new to Docker, you may find it challenging to understand all the terms. It can seem like everyone has a different idea of what Docker terms mean, and sometimes, terms get used interchangeably. For instance, you — like others who are learning about Docker — may wonder how a Docker image differs from a Docker container. Their contrasts are subtle but significant.
The Lightning Component framework is a UI framework for developing single page applications for mobile and desktop devices.
In this blog post, you’ll learn how the Proxy Protocol preserves a client’s IP address when that client’s connection passes through a proxy. You will also find resources for how to integrate the protocol into your own proxy or web server software. What is the Proxy Protocol? It is a network protocol for preserving a client’s IP address when the client’s TCP connection passes through a proxy.
We offer a free trial period to ensure that our customers use MetricFire successfully. But often when someone signs up for a trial they may not know where to start. This is a guide on how to use your trial to test your data and see if MetricFire is right for your use case. Each use case is different so it is important to book a call with our technical support team so we can help you utilize your free trial optimally for you. Create a MetricFire account for free and see how our system works.
React continues to be the web framework of choice for many UI developers, surpassing jQuery as the most popular framweork in the 2021 Stack Overflow Developer Survey. It provides an intuitive model for building data-driven user interfaces, and efficiently updates the DOM when this data changes. React pairs nicely with Redux for managing the data that React needs to render interfaces. Redux offers a predictable way to structure and update the data in those frontend applications.
Imagine this: You are an engineer at a startup. You are responsible for keeping all the applications running smoothly and safely in production. At first, you have things under control, but soon enough things start getting more complex.
After these last releases Kubewarden now has support for verifying the integrity and authenticity of artifacts within Kubewarden using the Sigstore project. In this post, we shall focus on verifying container image signatures using the new verify-image-signatures policy. To learn more about how Sigstore works, take a look at our previous post
Gin is a high-performance HTTP web framework written in Golang. It contains features and functionalities like routing and middleware out of the box. This helps to reduce boilerplate code, improves productivity, and simplifies the process of building microservices. In this tutorial, I will guide you through the process of building a RESTful API with Golang using the Gin-gonic framework. I will also lead you through building an API to manage the basic details of a company.
The new Charmed Operator covering the Capsule Kubernetes extension allows users of Canonical’s Charmed Kubernetes distribution to automatically install and integrate Clastix Capsule Multi-Tenancy as part of the Kubernetes cluster deployment process.
Customer experience (CX) is becoming an increasingly strategic part of any company’s brand as businesses become more customer-centric. And thanks to technologies that give customers more options than ever, right at their fingertips, consumers expect a flawless CX, anytime and anywhere, regardless of medium. In other words, customer retention and satisfaction is intertwined with CX.
With over 50,000 active organizations and 250 million workflows, CircleCI is one of the most popular networked CI platforms. When getting started with CI pipelines, teams typically want to ensure that code will compile, pass unit tests, and build a container image. After catching these low hanging fruit of syntax errors, engineering teams need to dig much further to find business logic and scalability errors.
In August 2011, Marc Andreessen wrote an article in The Wall Street Journal entitled “Why Software Is Eating the World.” Andreessen predicted that the leading companies in any industry would be software companies. And indeed, a wave of online software companies arose in which Netflix ate Blockbuster, Apple and Spotify ate Tower Records and the CD, and LinkedIn disrupted the recruiting industry.
This post is the second in a series of deeper dive articles on the four DORA metrics. The first metric we looked at was Deployment Frequency, which is about how often code can get released to end users. In this second article, we’ll look at Change Lead Time, arguably the metric most familiar to developers.
Most organizations that make software — from small startups to multi-billion-dollar behemoths — use third-party libraries and tools to develop their applications. Modern apps depend on many external components to build and deliver software to customers. These libraries and tools are collectively called the software supply chain. A software supply chain for a typical web app may include components like these.
We are excited to announce that PagerDuty® Runbook Automation and PagerDuty® Process Automation On Prem are now available on the AWS Marketplace, the leading global cloud provider. With more than 200 different cloud services, AWS makes it simple and attractive to build and grow your cloud-native business and/or migrate your existing infrastructure to the cloud, so you can begin to take advantage of the unlimited scale, agility, and flexibility the cloud offers.
Axios is a promise-based HTTP library that lets developers make requests to either their own or a third-party server to fetch data. It offers different ways of making requests such as GET, POST, PUT/PATCH, and DELETE. In this tutorial, I will explain how Axios interacts with applications, describe the structure of Axios requests and responses, how to make requests to an API, and how to write tests for your requests using CircleCI.
Hive smart meters revolutionized the way customers control their energy use. But since their launch in 2012 by UK energy company British Gas, advances in cloud technology and a rapid increase in the number of smart homes has led to an explosion of data.
Starting with version 16.8, React provides a way to use component and global state without the need for class components. This does not mean that Hooks are a replacement for class components, though. There are some benefits of using class components, which I will describe later in this tutorial.
Most Series A and B companies are born in the cloud. Instead of the traditional mainframe architecture, they use AWS, Kubernetes and the likes to run their production environments. While striving to do things faster and better, we must address the other side of the coin: How do you support the constant shifts inherent in these environments? Chaos engineering allows you to observe your environment continuously and reliably.
Continuous integration is a DevOps practice, where developers continuously integrate the code changes into a central repository. It most often refers to the build or the integration stage of the software release process. A continuous integration service helps to automatically build and run unit tests on the new code changes to find any errors instantly.
Continuous integration (CI) is a development practice where development teams can make small, frequent changes to code. With an automated build which verified the code each time developers verify their changes into the version control repository. Which helps the development teams to detect any defect in an early stage. Continuous integration is the first part of CI/CD, which enables the development team to release the code changes gradually to production quickly and regularly.
Do you love reading about how various performance-related issues are traced out and fixed? If so, here's our story of how we fixed the Redis performance issues we were facing by optimizing JedisPool. We hope this will help you strengthen your IT environment. Our Redis performance issues and efforts to find the cause
Today we are excited to launch one of our flagship ML assisted troubleshooting features in Netdata – the Anomaly Advisor. The Anomaly Advisor builds on earlier work to introduce unsupervised anomaly detection capabilities into the Netdata Agent from v1.32.0 onwards.
Every second counts when it comes to data theft. So when a breach or an attack occurs, network security teams need to determine what’s happened as quickly as possible. The more time spent in root cause analysis, the more time an attacker has to burrow deeper into or across the network. The greater the overall loss from the attack is likely to be too. That may be financial, customer impact, or brand reputation.
Inflation is running rampant, the world stage is unpredictable, and what’s happening in the U.S. markets has been dubbed the “tech wreck.” A common theme I’m hearing come up in conversations across industries right now is value — we’re all looking to maximize every dollar spent, every hire made, every hour logged. For a lot of companies, this means looking at processes and tools with a critical eye for not only cost savings but also cost avoidance.
Alan and Lee talk about the journey of Cloudsmith, and how we got to where we're at today with the latest pricing announcement.
We dive into the details of why we're changing the pricing at Cloudsmith, what it means for you, and how we can help.
If you are on Shipa Cloud today, you will have noticed a new module called Insights. We are pleased to announce the initial release of Shipa Insights and certainly have a lot in store as we continue to build out the module. As more items continue to shift left towards the developer and the rise of the full lifecycle developer continues to occur, outside of technical non-functional requirements such as connectivity, reporting and metrics are also important.
To provide world-class developer experiences and get applications to production quickly and securely, you need a team of experts devoted to running your platform as a product. For organizations that build and publish software at scale, developing the tech stack on which developers will create applications and push them to production is often the main focus.
Without logs, or a good understanding of them, debugging an application or looking through an error stack trace can be challenging. Luckily, Flask logging can change the way you understand debugging and how you interact with logs produced by the application. The Flask logging module gives you a way to record errors over different severity levels. A default logging module is included in the Python standard library, and it provides both simple and advanced logging functions.
Welcome to a special Monthly Moo - Product Edition. We have so much to share that we needed to create a special edition of the Monthly Moo to cover all the latest features that are now available. And to see these in action, sign up for our webinar that's coming on Tuesday. More details below. With many new features recently rolled out we need to group them in logical order to cover each of the following categories.
It’s a fact of life that most multi-cloud newcomers will experience sticker shock at some point. The Infrastructure and Operations leaders we work with at Teneo often tell us that that their multi-cloud environments came with hidden costs and complexities way beyond what they’d originally estimated. But it’s the day to day management that they and their teams say is most complicated and daunting.
Nowadays, REST is ubiquitous across most kinds of applications. It provides an easy, simple and clear language to communicate between services, usually a frontend and a backend. Although, there are many good alternatives and I want to talk about one in particular - gRPC. From my days as a Software Engineer at Google, I have grown quite fond of gRPC. Google uses it everywhere, from communicating between frontend and backend, to communicating with database servers to all kinds of microservices.
It’s time to shoot for the stars with Dan Isla, VP of Product at itopia, to talk about everything from astronomical importance of reliability to time zones on Mars. Dan’s trajectory has been a propulsion of jobs bordering on the science fiction, with a history at NASA, modernizing cloud computing for them, and loads more. Dan discusses the finite room for risk and failure in space travel with an anecdote from his work on Curiosity.
With KubeCon underway, many of us in the cloud native community are looking forward to learning about the newest innovations from the companies we follow. At SUSE, we’ve been working hard to deliver some new enhancements to Rancher with our 2.6.5 version. I want to briefly take you through the highlights of this release and why we’re excited about these new additions.
Like your virtual machine running another virtual machine , today thanks to Loft Labs, you are now able to run multiple virtual Kubernetes clusters in a Kubernetes cluster. The vcluster project is focused on creating fully functional virtual Kubernetes clusters inside a base cluster allowing for a different approach to multitenancy than spinning up a separate Kubernetes cluster. A core use case of Shipa is the ability to have abstractions that make deploying to multiple clusters easy for developers.
HyperText Transfer Protocol (HTTP), the protocol that defines the language browsers use to communicate with web servers, is stateless, meaning that after you make a web request and a server sends back a response, no memory of that interaction remains. To make anything more sophisticated than a static web page work, websites need other ways to remember previous interactions with users.
Today, robotics developers have something to look forward to with the release of AMD Kria™ KR260 Robotics Starter Kit. Robotics is a challenging endeavour. By reducing the barriers to entry on embedding design, AMD aims to accelerate robotics innovations in every industry. The latest addition to the Kria portfolio of adaptive system-on-modules (SOMs) showcases this work.
Previously, FireHydrant supported video collaboration tool integrations for Zoom and Google Meet. In response to customer asks, today we are pleased to introduce our new Cisco Webex Meetings integration for all paid plans. With the new integration, teams can automate Webex bridge creation as part of incident response.
Working as a team is critical to any mission, whether you’re taking on a galactic empire or pushing your code through your DevOps pipelines. Helping more teams, of all shapes and sizes, work effectively is why we have added support for Azure DevOps repositories in GitKraken Workspaces. We think you will agree, the force is strong with GitKraken Client v8.5 and Azure DevOps Workspaces!
In this article, we will explain what Microsoft Azure is and how you can monitor its data. We will also learn how to integrate Microsoft Azure with MetricFire. Last, we will look at the benefits of using MetricFire’s monitoring solution with Azure metrics. Try the free trial version of MetricFire and enjoy all the benefits of using our system. Book a demo with our team and discuss in detail the process of integrating Microsoft Azure and MetricFire.
In today’s digital world, application responsiveness isn’t just an end-user desire but an expectation. Nobody understands the challenges of meeting these demands better than IT, which must remain poised to act when an issue occurs while also finding ways to innovate, improve, and implement continuously.
OpenTelemetry is a Cloud Native Computing Foundation (CNCF) initiative that provides open, vendor-neutral standards and tools for instrumenting services and applications. Many organizations use OpenTelemetry’s collection of APIs, SDKs, and tools to collect and export observability data from their environment to their preferred backend. As part of our ongoing commitment to OpenTelemetry, we are proud to have contributed our distributed tracing libraries to the CNCF community.
A Kubernetes environment includes a wide range of resources—such as clusters, nodes, and pods—that work together to run dynamic applications at scale. In order to monitor a Kubernetes application effectively, you need a multi-dimensional view into your clusters’ health that encompasses the complex dependency relationships among these resources.
Responding to and managing incidents feels fairly straightforward when you’re in a small team. As your team grows, it becomes harder to figure out the ownership of your services, especially during critical times. In those moments, you need everyone to know exactly what their role is in order to recover fast. Moving to incident.io as the 7th engineer, from a scaleup of around 70 engineers, has given me a new perspective on what it means to own your code.
Today we’re excited to make three major announcements. First, we’re making it easier to adopt the very popular Codefresh GitOps CD with a fully SaaS offering that is hosted and managed by Codefresh. We’ve heard from many in the community that they’d like to get away from managing Argo CD and focus just on deploying and managing their applications. Hosted GitOps CD makes it easier than ever to adopt GitOps, just create an account, connect your target clusters, and deploy.
Released today, data from more than 1,300 global respondents combines with expert analysis to reveal goals, benefits, and challenges of cloud-native technology in 2022 16 May 2022 – Canonical, the maker of Ubuntu, today released data from a new global survey revealing the goals, benefits, and challenges of cloud-native technologies.
Mattermost v6.7 is generally available today and includes the following new features (see changelog for more details).
Curious about the Conda universe? Learn what Conda is & where it came from, what Conda packages are, which Conda communities to join, & more!
For those who missed the live conversation, we had a great chat with Nana Janashia around taking the next click in with Kubernetes. As one of the great equalizers between the development and operations teams, Kubernetes has a duality of generics and opinions to power your workloads. This duality can be a complex one to navigate not only dealing with a new paradigm of idempotency and ephemerality but also dealing with a vast amount of choice and seemingly granular.
Many organizations are adopting Kubernetes to gain agility and increased time-to-value. However, complexity, security, and a shortage of IT skills are the top challenges that prevent organizations from effectively deploying Kubernetes. Complexity Kubernetes requires the selection and integration of a host of component services, which makes do-it-yourself (DIY) deployments beyond the scope of most organizations. Kubernetes management also differs significantly from traditional IT environments.
There are many different ways to run a Kubernetes cluster, from setting everything up manually to using a lightweight distribution like K3s. K3s is a Kubernetes distribution built for IoT and edge computing and is excellent for running on low-powered devices like Raspberry Pis. However, you aren’t limited to running it on low-powered hardware; it can be used for anything from a Homelab up to a Production cluster.
When looking for a highly scalable time series database, there are a number of criteria to investigate and evaluate. First up, it’s always a good idea to consider open source software. It’s more likely to have gone through comprehensive troubleshooting, it’s typically more reliable as it has more timely and widespread peer-review, it better guarantees technology independence, it’s easier to find engineers who are familiar with it and it has great security.
“Cloud native” – working in distributed systems using microservices and DevOps – has promised a lot, and indeed delivered a lot. Among the biggest benefits, in a cloud-native distributed architecture it’s easier and more cost-effective to scale parts of an application. When one part fails, it is less likely to impact other services and the services can still communicate with each other.
Starting small and scaling your systems to serve billions of requests per month is never an easy path, so how do you build an infrastructure whilst making the right decisions and compromises for your services? Choosing the right technology stack and ensuring your CI/CD pipeline is reliable are two key steps towards this which we will explore.
Resilience is the capability to recover quickly from difficulties or toughness. It is not about preventing failures, but being able to recover from them quickly. As Amazon’s CTO Werner Vogels famously said ‘everything fails all the time’. It’s a fact of life that failures will inevitably happen but what we can do is build applications that can withstand different kinds of failures. For example, in a data center, hardware is going to fail all the time.
Once you have decided to migrate your MySQL database to AWS, choosing the services you need from the lot of options available in AWS can be quite overwhelming. Migrating will inevitably raise the question.
Linux Active Directory (AD) integration is historically one of the most requested functionalities by our corporate users, and with Ubuntu Desktop 22.04, we introduced ADsys, our new Active Directory client. This blog post is part 2 of a series where we will explore the new functionalities in more detail.
What happens when the tools and services you depend on to drive Site Reliability Engineering turn out to be susceptible to reliability failures of their own? That’s the question that teams at about 400 businesses have presumably had to ask themselves this month in the wake of a major outage in Atlassian Cloud.
Ask any engineer what they’d like to eliminate from their daily to-do list, and the answer will almost certainly be some version of reducing toil. Engineering organizations can burn hours and hours of work time on repetitive, manual tasks that reduce bandwidth for high-impact projects. That being the case, it’s no surprise that reducing toil helps your team work more productively and experience better job satisfaction in the long run.
Climate change: it’s one of the most pressing challenges of our time. Yet, while the focus is often on power plant pollution, single-use plastics, deforestation, and fossil fuels, web technologies remain among the biggest, least-visible carbon culprits. Inversely, though, it means that web technologies can be part of the solution.
Great news! We now support multiple custom domains for prepress applications, including apex/root domains! Want more info? Read more on configuring DNS with Prepress.
High-quality code is efficient and reliable, runs well without bugs, and meets user needs. It can cope with errors or unusual conditions. It is also easy to understand, maintain, and expand with new features. Additionally, its portability means that it can run on as many machines as reasonably possible. Development teams work with codebases that are constantly changing. They add, delete, and modify existing code to improve speed or implement new features.
Scaling data science is hard. From natural language processing for model-driven policy approvals to image classification in biotechnology to supply chain risk and anomaly detection in advanced manufacturing, data science brings tremendous promise—but not without challenges. Only 21 percent of businesses are gaining a major competitive advantage through the use of data and analytics tools, according to a recent survey.
For those managing enterprise software development organizations, the concept of software supply chains—that is, the set of sources and actions that take software from “raw materials” to a finished product—might represent an abstract concept. While this definition is essentially correct, it doesn’t do enough to explain how supply chains can be complementary to your existing continuous integration and continuous deployment (CI/CD) environments.
In April, we made Civo Academy publicly available for all. This was a pivotal step to put developers first so anyone with an interest can learn everything they need to know to create and maintain their Kubernetes environment. We also released a new report called "The Cost of Cloud", a white paper looking into the complexity of cloud costs for businesses and alternatives beyond the hyperscalers.
We’re excited to announce today Circonus’ Spring ’22 Release, which adds capabilities to further support the observability demands of modern-day enterprises. The Spring Release adds features across all four components of the Circonus platform – Ingestion & Alerting, Visualizations and Reporting, IronDB time series database, and the Circonus Analytics Query Language (CAQL) – with a focus on extending coverage and improving ease-of-use.
Hot on the heels of our Ubuntu 22.04 LTS release, we’ve already started building our first images for Ubuntu 22.10, codename: Kinetic Kudu. Up until now, Ubuntu WSL users have had access to our current Long Term Supported (LTS) releases. These provide a stable Ubuntu development environment, deeply integrated with Windows, for data science, cloud, web and IoT developers. But what if you’re one of those folks who like to live life on the edge?
For teams who deploy software to users around the world, every second counts when responding to outages and other incidents. It’s important that you have tools in your arsenal that are up to the challenge. Service monitoring, alerting, collaboration, and visibility are all essential components of a well-implemented incident response plan.
Automated tests are especially important in large applications that have lots of moving parts. It is smart to learn about many methods of testing applications so that you can provide as much coverage as possible. If you are not familiar with using snapshots in testing, read on. Snapshot tests are written as part of frontend test automation.
StackStorm v3.7.0 has been released thanks to the hard work from StackStorm volunteers and our community at large! We’re very proud to have such an engaged and active community who keep coming up with new ideas to improve the StackStorm experience.
Software reliability is the probability of failure-free operations in a computer program for a specified period of time in a specified environment. It is critical for validation in order to determine characteristics in terms of system performance, functional compatibility, maintenance, competency, installation coverage and process documentation continuance. Software reliability helps you to identify and fix bugs, improve performance, and test features.
JumpCloud is a cloud-based directory platform that provides a unified approach to Active Directory and LDAP services centered around user authentication and network management. Using JumpCloud, companies can manage and provision user access to software, systems, and networks; enforce compliance with audit trails; and provide a unified login experience through single sign-on (SSO).
You might be familiar with GameDays at this point. From watching our Introduction to GameDay webinar, viewing our Demo video, and reading our tutorial, you’ve probably learned that GameDays were created with the goal of increasing reliability by purposely creating major failures on a regular basis. Better yet, perhaps your own team has run a GameDay and learned something new about their services’ behavior during failure scenarios.
We are happy to announce that we launched Cloud 66 on the GitHub Marketplace. Our presence on GitHub Marketplace allows developers to deploy their code directly from their repository to their own servers on any cloud in minutes.
True reliability takes into account all of the services that exist in your software environment — which is why it can get so complicated. An ecommerce site, for example, might have services that update current inventory in near real time, process payments in the shopping cart, trigger email receipts to send, kick off fulfillment orders, etc. And if one of these services isn’t operating at its best, that can mean money — and in some cases, customers — lost for the company.
Time and resource consumption have become the driving forces of developing modern applications. While building cloud-native applications, it’s important to ensure that you have the most optimized code in place, and oftentimes that means leveraging concurrency. While writing concurrent code may sound overwhelming at first, Golang makes it extremely easy to get a handle on.
Containerization and Kubernetes have taken the DevOps world by storm in the past decade. More and more companies have turned to this technology to enhance their deployment workflows and cut costs. Examples like Pokemon Go and OpenAI would not have been feasible without Kubernetes. While Kubernetes is a growing technology in the current times, it comes with a relatively steep learning curve.
Ubuntu is fast becoming the platform of choice for data scientists worldwide – which is why HP is empowering its customers to launch Ubuntu environments directly on their Windows machines. In addition to native Ubuntu offerings, select Z by HP workstations are also available with Windows Subsystem for Linux 2 (WSL 2) pre-installed and pre-enabled, giving users the ability to accelerate data science workflows on Ubuntu straight out of the box, without leaving their native Windows OS.
This week, the Multipass team announced a new version of the VM manager and local mini-cloud. Multipass makes it easy to run Linux virtual machines on Mac, Windows, and Linux hosts by providing a streamlined CLI that abstracts away the admin overhead of working with VMs. This update comes with some exciting new features, including enhanced networking and suspend capabilities on macOS, and the ability to authenticate clients, which allows Multipass to run as an unprivileged user.
Epinio takes developers from application to URL in one step. In this blog post, I’m going to tell you about the new Epinio extension for Docker Desktop, that allows you to run Epinio on your laptop. DevOps are very interested in the details of containerized workloads and Kubernetes especially, but for developers, the abstraction layer provided by Kubernetes might not be too relevant to their daily work.
Objects are fundamental aspects of Kubernetes (K8s). To work with K8s, you need to understand how basic objects function. In this article, we’ll explain the purposes of the K8s objects you’ll run into most frequently. Objects are separated into two categories: Primitives and Controllers.
Properly leveraging telemetry is a true game-changer for any IT department looking to optimize and stabilize its systems. Telemetry provides the first step to answering the all-important question, “What’s happening in my network?” It’s your eye into the inner workings of your system, giving you a view into how different components are performing.
You can tell the maturity of something by its challenges. For example, the problems of a 27-year-old are different from those of a 47-year-old. In case it’s not clear, this is my attempt at making a relatable analogy to the maturity of Kubernetes. Though, it might be more accurate to say Kubernetes has reached a point of ubiquity; industry analyst research, foundation surveys, and studies including VMware’s 2022 State of Kubernetes report certainly indicate such.
In this blog, we will go into the history of HPC and supercomputing where we will cover how it all started and how it developed into the HPC we see today. This blog is a part of a series of blogs where we will introduce you to the world of HPC.
Cloud migration is a complex process, and the more up-front planning you put into it, the more likely you’ll be able to avoid challenges and setbacks during execution. And yet, challenges and setbacks seem to be the norm, not the exception, with almost three-quarters (72%) of those surveyed stating that they’ve run into problems so big they were forced to move migrated applications back on premises or jump into firefighting mode to figure out how to fix them quickly.
Monitoring as code (MaC) is a shift in thinking that is now being increasingly adopted in software development. Knowing the significance of MaC and incorporating monitoring in the development process early on brings a great number of benefits for DevOps teams.
Over the weekend, I visited one of my favorite grocery stores to pick up one item, my favorite fruit e.g star fruit. Because of the location, the grocery star started to implement parking validation so folks would not abuse their free parking deck for extended periods of time. As I just had a handful of star fruits, I decided to use the self-checkout. This was my first time buying produce via self-checkout.
Leading organizations around the world are adopting cloud-native technologies to build next-generation products because cloud native gives them the agility that they need to stay ahead of their competition. Although cloud native and Kubernetes are very disruptive technologies, there is another technology that is probably the most disruptive technology of our generation, and that is artificial intelligence (AI) and its subset, machine learning (ML).
In order to manage the impact that every entity has on your IT environment, an accurate Configuration Management Database (CMDB) is essential. This tool provides the visibility you need to quickly execute tasks like daily management, determining how to fix an outage, and planning major initiatives like cloud migrations or application changes. To create and maintain an accurate CMDB, automated dependency and discovery mapping (DDM) is key.
Site reliability engineering (SRE) is a set of principles that incorporates aspects of software engineering into IT operations. It takes tasks that would typically have been done manually by operations teams and gives them to engineers to solve using software and automation. This helps to create a bridge between development and operations teams. The concept of SRE was created by Google back in 2003. Since then, it has been adopted by thousands of organizations all over the world.
Git Integration for Jira Data Center has seen some major updates in the last quarter, including new Automation for Jira support: giving you more control and power over repository trigger actions. Let’s dive into the new features and improvements for Git Integration for Jira Data Center.
GitKraken has always, first and foremost, focused on enhancing productivity and user experience with Git. As the popularity of Git has continued to grow over the years, so have the number of teams adopting our tools to make Git easier, safer, and more collaborative.
Today, almost every service now is offered in a “Cloud” variant. But what does that really mean? Are all clouds services equal? It’s easy to see why so many vendors rush to add a Cloud edition/variant of established software they sell. Undoubtedly, there has been a move to Cloud services across the industry, as more and more organizations seek to take advantage of the higher reliability and lower total cost of ownership that Cloud platforms promise.
Who would have thought software could rattle the White House? But a vulnerability in Log4J, a popular open source software project, exposed critical digital infrastructure to remote code execution attacks. This prompted the US Government to engage big tech, infosec professionals, and open source organizations to come together to help secure open source software.
Just when you thought it was safe to go back in the water... Is there anything more frightening than the unknown? Anything the mind can conjure up is frequently scarier than something realized. The shark in Jaws is terrifying because you don’t see it until it’s too late. It’s a silent, relentless death machine, hiding in the water. A software vulnerability is the unknown, hidden deep within an ocean of code, packages and container dependencies.
Picture this… You just got your second cup of coffee and you’re walking back to your desk. The phone in your pocket begins vibrating as a flurry of emails show services are bouncing. The notifications say services were down but are now back up. You hustle back to your desk, spill a little coffee on your notepad, and open the VMware vSphere client to see a host in a disconnected state.
CircleCI is a CI/CD service that allows organizations to rapidly build, test, and deploy within their pipelines on a single platform. If you are using CircleCI for your CI/CD pipelines, you can now leverage the Datadog Synthetics CircleCI orb to implement Synthetic tests as part of shift-left testing. CI/CD testing is a widely adopted DevOps standard that helps teams mitigate any potential issues that could arise as a result of faulty code deployments.
Many organizations perform periodic data center asset audits to report accurate asset information by cabinet and U position. This information is needed to remotely plan moves, adds, and changes and to facilitate corporate reporting. Data center asset management is often a struggle due to the complex, distributed, and constantly changing environments of modern data centers. They are manual, time-consuming, and human error can result in inaccurate data.
For an application developer, there is certainly a long road between an idea/feature and getting deployed into production with Kubernetes. From a development perspective, having a low barrier of entry and the ability to iterate is key. From a platform engineering/DevOps perspective, creating gains in engineering efficiency all while creating and enforcing policies that do not stifle innovation is key.
Enterprises lately are understanding the need to move their business applications to cloud. Well, one of the major contributing reasons for this move is the rising OpEx and the heavy debt of managing applications in their own environment. Cloud providers are waiting for such opportunities where enterprises are planning to migrate to cloud, the question is will it help or not?
Bringing the best software solutions to market as quickly as possible requires using automation to facilitate repetitive tasks (e.g., testing) so you can spend more time writing high-quality code. This is one of the main reasons why today’s top-performing dev teams build continuous integration (CI) and continuous delivery or continuous deployment (CD) pipelines, which enable them to ship new releases faster.
We may not always know what is happening behind the scenes when we add a dependency to our projects. We expect this process to “just work” to carry on building applications. Little we may know about the level of commitment from maintainers and the amount of work needed to have everyone seamlessly use a library. Let’s hop in backstage to discover the unique way Blackfire releases its Python binaries.
Having enough time available is a struggle we all experience. Technological innovations enable us to develop and deploy software at lightning speed: Sometimes we can push more to production than our organizations’ IT environments can handle. At the same time, we want to increase customer satisfaction by reducing downtime. But how are you going to keep customer satisfaction rates high if a large majority of incidents are caused by changes?
Consider what happens if digital apps or services go down. Companies lose revenue, decrease productivity, compromise customer loyalty and the list of repercussions goes on, depending on the business. Indeed, modern business continuity is contingent on a well-functioning suite of consumer and commercial apps and services.
Running infrastructure at scale almost always guarantees dizzying complexity and anxiety-inducing pressure to maintain systems in a production environment. This is further exacerbated when multiple delivery teams require slight variations of the same infrastructure components, across several cloud providers, each with a different set of observability requirements. Gradually, production environments become large, unmanageable, difficult to change, and perhaps resembling the figure below.
Setting up Service Level Objectives (SLOs) is one of the foundational tasks of Site Reliability Engineering (SRE) practices, giving the SRE team a target against which to evaluate whether or not a service is running reliably enough. The inverse of your SLO is your error budget — how much unreliability you are willing to tolerate.
We consistently follow the upstream release cadence to provide our users and customers with the latest improvements and fixes, together with security maintenance and enterprise support for Kubernetes on Ubuntu. This blog is a quick overview of the latest development highlights that are made available in Canonical Kubernetes 1.24 as well as a look at our favourite upstream enhancements.
Regulatory compliance and data privacy requirements require financial institutions (FIs) to consider carefully where their applications are running and where the customer data is stored. The data protection and data sovereignty laws in most countries require an enterprise to keep data in certain geographic locations. PCI Data Security Standard, for example, regulates the way the customer and financial transactions data is stored and transmitted.
With recent releases, the Kubewarden stack supports verifying the integrity and authenticity of content using the Sigstore project. In this post, we focus on Kubewarden Policies and how to create a Secure Supply Chain for them.
Natalie Conklin, tamer of chaos and Head of Engineering here at Gremlin, joins us to talk about embracing change, working alongside each other, and building more reliable systems. Natalie has a talk coming up at DevOpsDays Boise which she has titled “Embracing Change Fearlessly.” Her talk is oriented around enabling teams to take calculated risks and having the guts to take those risks. Natalie spent time working in India, which helped solidify her “fearlessly” philosophy.
We are excited to announce that Sleuth has raised $22M in Series A funding, led by Felicis, joined by Menlo Ventures with participation from CRV. We’re disrupting the world of engineering efficiency and we're hiring, come join us!
Welcome to the 8th edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.
Most products that run as Software-as-a-Service (SaaS) are built to be multi-tenant, meaning that a single instance or deployment is meant to be used by multiple organizations. There’s a good reason for this: it’s generally easier to scale and operate multi-tenant applications. But in this new age of containers, orchestration, infrastructure-as-code, and Kubernetes, where it’s cheaper, faster, and simpler to deploy a new instance of an application, that may no longer be the case.
puppetlabs-pe_status_check is a new supported module for Puppet Enterprise. It provides a series of indicators of system status that the Puppet Support team has determined to avoid support incidents or outages. Utilizing this module and the accompanying documentation will allow the user to craft preventative maintence workflows and, should it still be required, increase the quality of information in any support ticket, to help decrease the time to resolution for any incident.
The path to success in software development can be long and challenging. It requires a lot of skills and dedication as it’s not just about building applications, it’s so much more. It is also about being tailored for any situation, requiring us to be quick to adapt to change and to the unexpected.
In this tutorial, you will learn how to work with the gRPC Golang library for microservice communication by creating a simple note-taking application. APIs and service-to-service communication are what make modern microservice architecture possible. REST is generally the preferred implementation pattern, but if you only use REST, you could miss out on the significant performance gains that gRPC can offer. gRPC can provide better speed and efficiency than REST APIs.
Coming up in StackStorm 3.7.0 is a new feature that allows administrators of a StackStorm installation to “override” the default resource status that was specified by the pack owners. One of the benefits of StackStorm is the large variety of packs available on the StackStorm Exchange. But sometimes, users may not want the default content status provided by the community packs. We’re introducing a new feature into StackStorm 3.7.0 to make this easier to manage.
Things would be much simpler if we based all we built on Kubernetes on a single tenant type of architecture, meaning a single application running on the entire Kubernetes cluster with a single team who could access it. As teams scale Kubernetes adoption within their organizations, they see a different scenario instead, one with multi-tenant deployments performed by multiple teams and, most probably, across multiple clusters.
Rancher Desktop is an all-in-one solution for container management on your desktop workstation. It provides an easily maintained Kubernetes installation that runs on your local machine and streamlines setting up containerized workflows in development. Assembling a Kubernetes cluster from scratch can be daunting, because multiple components must work in unison. With Rancher Desktop, you get everything preconfigured with one software download.
In the Kubernetes (K8s) community, there is a huge misconception about CPU allocation and utilization. Even highly experienced SREs find themselves struggling with the way Kubernetes allocates CPU resources, leading to misconfigured CPU allocations and extremely negative outcomes. For starters, this results in significant quality degradation on important service components, introduced by behind-the-scenes CPU limiting (or throttling).
After a two-year hiatus, Datadog customer summits are back. And what better place to begin in-person again than in sunny Denver, Colorado!
Dell Technologies World is upon us, and in addition to being a welcomed return to the in-person format, it’s also an opportunity for me to reflect on Virtana’s long history with Dell, our integration points, and the synergies with the Dell portfolio.
Cloud computing has been transforming financial IT infrastructure into a utility allowing financial institutions (FIs) to access computing resources on-demand letting FIs offload costs and effort of setting-up and managing their own on-premises infrastructure, improving agility and time to business value. As more and more financial institutions rely on hybrid cloud services, data security in the cloud is a business imperative.
When I left Red Hat to join SUSE as a Technical Marketing Manager at the end of 2021, I heard about Harvester, a new Hyperconverged Infrastructure (HCI) solution with Kubernetes under the hood. When I started looking at it, I immediately saw use cases where Harvester could really help IT operators and DevOps engineers. There are solutions that offer similar capabilities but there’s nothing else on the market like Harvester.
Technical debt is the implied cost of the additional work that is required when a team chooses a quick, easy solution that is limited, instead of a more well-thought-out, higher-quality solution that would take longer. Essentially, it’s what happens when teams prioritize speed over quality. Examples of technical debt include untested code, unreadable code, dead code, duplicated code, or outdated documentation.
