Docker is a platform for developers and sysadmins to develop, deploy, and run applications using containers. Docker is also referred to as an application packaging tool. This means that enabled applications can be configured and packaged into a Docker image that can be used to spawn Docker containers that run instances of the application. It provides many benefits including runtime environment isolation, consistency via code, and portability.

I talk with many of my fellow engineers at conferences and other events throughout the year. One thing I like demonstrating is how they can implement a continuous integration/continuous deployment (CI/CD) pipeline into a codebase with very little effort. In this post I will walk through some demo code and the CircleCI config that I use in the demonstration. Following these steps will show you how to implement CI/CD pipelines into your code base.

In part 1 and part 2 of this series, we examined how AI/ML can help improve healthcare and the challenges faced by AI/ML teams in realizing the benefits respectively. In this part, we will explore how Robin and Dell can help overcome these challenges.

Robin.io continues to grab the attention of telecom industry peers and thought leaders with its approach to automation and orchestration of complex 5G networks.

We are delighted to share news of our partnership with leading, real-time Application Performance Monitoring (APM) vendor Cisco AppDynamics and are now a fully-fledged member of their Integration Partner Program (IPP.) For our mutual enterprise customers service affecting issues can lie undetected in the vast volumes of data generated by the multiple, disconnected tools used to monitor their multi-cloud environments, applications and technical solutions.

Datadog’s support of OpenTelemetry—a vendor-agnostic, open source set of APIs and libraries for collecting system and application telemetry data—has helped thousands of organizations implement monitoring strategies that complement their existing workflows. Many of our customers leverage OpenTelemetry for their server- and container-based deployments, but also need visibility into the health and performance of their serverless applications running on AWS Lambda.

The last ten years have seen a massive change in how IT operations and development enable business success. From virtualization and cloud computing to continuous delivery, continuous integration, and rapid application development, IT has never been more complex or more critical to creating competitive advantage. To support increasingly Web-Scale IT operations and wide-scale cloud adoption, applications now operate as services.

During the next two weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!

If you’re interested in cloud computing, AWS certifications are one of the most rewarding paths to a dynamic career. As a worldwide leader in cloud infrastructure service, Amazon prepares certified experts who are highly sought after by IT organizations around the world. Did you know that 94% of organizations use a cloud service and 30% of their IT budgets are allocated to cloud computing?

Kubernetes makes it easier in certain ways to manage reliability. But incident response teams and SREs must also be prepared to handle the unique reliability challenges that K8s creates.

These days many setups have a lot of redundancy and you may not want to send notifications during the night, just because one of multiple http servers has a problem. This blog post will show you how to setup a single service with a state combining multiple other services.

On April 15th Moogsoft’s VP Marketing, John Haley, welcomed Datadog Product Manager, Alex Vetras, along with DevOps Institute Chief Ambassador, Helen Beal, and Moogsoft’s CTO, Dave Casper, for an informal roundtable exploring how users can now see rich-context incidents from across the full stack in minutes, and the opportunities this presents to organizations.

Creating robust, manageable, and reusable functionality is a big part of my job as a CI/CD engineer. Recently, I wrote about managing reusable pipeline configuration by adopting and implementing pipeline variables within pipeline configuration files. As I showed in that tutorial, pipeline variables and orbs have added some flexibility to this process, but they are still a bit limited.

With the new release of dynamic config via setup workflows, CircleCI customers can now use jobs and workflows, not only to execute work but to determine the work they want to run. We built dynamic config because we know our users want more dynamism in the CircleCI build process. Historically, our platform has been very deterministic: the config is pre-set in a file based on the revision for a given pipeline.

“Smart” is the buzzword for strategic industries operating in Energy, Utilities, and Transportation. We are also starting to see this “Smart” nomenclature used in local authorities, defense and public services.

Codefresh is excited to partner with Atlassian on their new Open DevOps launch. Codefresh is offering native support for connecting the two platforms and giving better visibility on deployments and features of each deployment for our mutual customers. At the heart of this integration is the Codefresh App; which can be found on the Atlassian Marketplace. Simply define Codefresh as the CI/CD partner that will connect to Atlassian’s DevOps API.

In part 1 of this series, we examined how AI/ML can help improve healthcare. AI/ML is an ambitious undertaking that promises to revolutionize healthcare. Getting excited is easy, but where do you start and why is it not just another empty promise? In fact, despite all these promises and futures, most AI/ML projects fail and don’t deliver. The failure rate of AI/ML projects is starting to make some wonder if this is real or hype.

Your modern cloud-hosted applications rely on a number of key components—such as databases and load balancers—that are managed by the cloud provider. While these cloud resources can reduce the overhead of maintaining your own infrastructure, capturing and contextualizing monitoring data from services you don’t own can be difficult.

VMware has recently released vSphere 7 Update 2, and there is a lot of new stuff to look out for. vSphere, VMware’s server virtualization product, has been an industry favorite for a long time. The vSphere 7 came out in April 2020, and this is so far the second update to it, hence the name. When you look at the changes they’ve rolled out, you’ll know that they are really focusing on some key areas. As a result, VMware infrastructure is getting pretty solid and modern.

Gremlin helps teams proactively improve the reliability of their systems by running chaos experiments on infrastructure including hosts, containers, and Kubernetes clusters. But as microservice-based architectures and automated cloud platforms become the norm, engineers are shifting their focus from managing infrastructure to managing services. In order to keep these services as resilient as possible, they need tools that can help them find failure modes, reduce incidents, and improve availability.

No one likes giving their weekends up to fix release issues. Developers and operations teams are traditionally hesitant to make changes or deploy applications on a Friday, in case something goes wrong and they have to spend their weekend making emergency fixes. Or worse, trying to roll back changes that were made. However, with a strong set of practices and a reliable deployment pipeline, there should be no reason why a deployment cannot happen anytime — even on a Friday afternoon.

GitOps is growing in popularity. You’ve probably seen it mentioned on Reddit or dev.to. But what the heck is GitOps? Broadly speaking, GitOps takes the principles of Git and CI-powered workflows favored by software developers — commonly used to automate the process of building, testing and deploying software — and applies them to other business processes.

Software teams use cron jobs to handle many important tasks like database backups and maintenance scripts. Cron jobs make sure that your applications are behaving as they should, but cron job failures are often silent and not noticed until the problem becomes worse. In this guide, we will learn how to stay aware about cron job failures by using Healthchecks.

A configuration management database (CMBD) is a centralized repository that stores information about all the significant entities in your IT environment. These can include your hardware, installed software applications, documents, business services, and even the people who are part of your IT system. The CMDB is designed to help you maintain and support the interrelationships between the configuration items (CIs) within a vast IT structure.

In this blog, we will walk through the process of configuring a private Cloudsmith repository as an artifact source for a Harness Continuous Deployment pipeline. Harness is a Continuous Deployment platform that allows you to easily automate the deployment of your software to your infrastructure and environments.

You might be looking around for a new web host, or trying to get a better deal. You notice VPS plans are incredibly cheap - as low as $3-5 per month, while the cheapest shared hosting is around $10 per month. You wonder, "How is this possible?!" - especially when people recommend moving to a VPS once a site becomes popular. Let's discuss what these are first, before going into why cheaper doesn't necessarily mean better for you and your business.

One of the greatest strengths of containers is the ability to spin more of them up quickly. As the volume of traffic to your application increases, you can create more application containers on the fly to handle it, in almost no time at all. Kubernetes ships with autoscaling baked in, giving you the power to scale out when the system detects an increase in traffic—automatically!

Looking for OpenStack CentOS alternatives after recent changes in the CentOS project? Think Ubuntu – the most popular Linux distribution for OpenStack deployments, after CentOS, across development and production environments. Wondering what makes Ubuntu different? Here are seven reasons you should consider Ubuntu when planning your CentOS migration.

Senior IT leaders, motivated by both the changing nature of our economy and more recently, the COVID pandemic, have decisively shifted their focus toward applications. The industry catchphrase for this shift, digital transformation, makes clear its dual nature: directed toward the digital future while at the same time acknowledging that the existing environment must be modernized—in other words, transformed. Tasked with enabling this new breed of applications are operations groups.

Throughout the world, the business and service sectors thrive on the best customer service management practices to ensure customer retention, boost customer sentiments to increase the profitability and branding of their business. But amidst the emerging technological advances, AI (Artificial Intelligence), as it is well known, is turning the table for businesses in winning the game of gaining customer trust and loyalty.

Enterprises are using Unified Communications as a Service (UCaaS) solutions like Microsoft Teams and Zoom, and Contact Center as a Service Solutions (CCaaS) like Five9 and Genesys to improve communications, simplify operations, and accelerate IT agility. As the COVID-19 outbreak clearly demonstrated, UCaaS and CCaaS solutions are ideal for delivering enterprise communications services to remote workers, mobile users, and small/home offices.

Enterprises are using Unified Communications as a Service (UCaaS) solutions like Microsoft Teams and Zoom, and Contact Center as a Service Solutions (CCaaS) like Five9 and Genesys to improve communications, simplify operations, and accelerate IT agility. As the COVID-19 outbreak clearly demonstrated, UCaaS and CCaaS solutions are ideal for delivering enterprise communications services to remote workers, mobile users, and small/home offices.

In the new world of rapid releases, continuous change, and increasingly high user expectations, more organizations are embracing DevOps. One of the primary drivers for adopting DevOps is speed — particularly the reduction of risk at speed. As DevOps seeks to reduce risk and deliver insight at an increasingly faster pace, new tools have emerged in the monitoring space. But these tools alone will not deliver us into the low-risk world of DevOps — not without new and updated thinking.

You probably can’t believe I’m asking that question. It’s like showing up to a party and immediately asking about the afterparty. Is it really time to look for the exit? No…but yes. We used to deploy apps on systems in data centers. Then we moved the systems to the cloud. Then we moved the apps to containers. Then we wrapped it all in Kubernetes for orchestration, and here we are. Each advance in technology unlocks doors we couldn’t reach before.

Large portions of software development budgets are dedicated for testing code. A new component may take weeks to thoroughly test, and even then mistakes happen. If you consider software defects as security issues then the concern goes well beyond an application temporarily crashing. Although even minor bugs can cost companies a lot of time to locate the bug, resolve it, retest it in lower environments, then deploy it back to production.

In our previous post, we discussed the recent security incident at Codecov and the following investigation at Mattermost. As a follow-up to that we wanted to share some of the basic design principles as well as a handful of more technical tips and tricks around CI/CD pipeline security that helped Mattermost come out of the incident unscathed.

Gartner jumps right into it, describing a reorientation of a tool that has previously focused on IT service management and automation. AIOps is now also enabling a variety of new observability use cases for DevOps and Site Reliability Engineering (SRE) teams. This blog presents the guide’s major findings and a link so you can read the report for more details. About the AIOps Platform Market

We're excited to announce the release of two new features this month: customizable Slack incident modals and Incident Tags. Keep reading to more about how they can help your teams manage incidents better!

Ubuntu Server 21.04 (Hirsute Hippo) brings significant improvements to automation and stability fronts with new extensions to the Ubuntu Server Live Installer and phased updates in the Advanced Package Tool (APT).

The financial services (FS) industry is going through a period of change and disruption. Technology innovation has provided the means for financial institutions to reimagine the way in which they operate and interact with their customers, employees and the wider ecosystem. One significant area of development is the utilisation of artificial intelligence (AI) and machine learning (ML) which has the potential to positively transform the FS sector.

TL;DR: KFServing is a novel cloud-native multi-framework model serving tool for serverless inference. KFServing was born as part of the Kubeflow project, a joint effort between AI/ML industry leaders to standardize machine learning operations on top of Kubernetes. It aims at solving the difficulties of model deployment to production through the “model as data” approach, i.e. providing an API for inference requests.

This is a great question. The answer is yes. You can send Graylog alerts via email, text, or Slack, and now Discord. Yes Discord! The growth and use of Discord has transformed from just many Gaming users to businesses using it as a communication platform. Many businesses like: Gaming Developers, Publishers, Journalists, Community and Event Organizers use Discord. Discord lets Gamer Developers work in teams with each other on their projects.

Migrating to cloud infrastructure is one of the most critical requirements for modern enterprises to ensure long-term sustainability. Initially, there was a general apprehension about adopting cloud technology and developing a cloud migration strategy; certain aspects like security and resilience were concerns. But today, with increasing technological advancements and familiarity, there is not an iota of doubt that the advantages of adopting cloud technology have far outnumbered the few drawbacks.

During the next four weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!

Are you looking for ways to improve your data center performance and resource utilization? Consider employing virtualization. Virtualization offers a cost-effective solution to satisfy the growing need for storage capacities and IT support required by most organizations. It is a process that allows you to scale up your physical resources to meet your increasing demands. You can virtualize physical servers, networking, storage, and other infrastructure components to enhance your data center operations.

Security testing tools help us to monitor our cloud-native resources for potential vulnerabilities throughout our development lifecycle. By flagging security vulnerabilities early, our teams can react on time to reduce potential damage to our end-users and our business. This post will compare three different Security scanning tools that focus on cloud-native infrastructure and application security, namely.

Today, Gremlin is excited to announce the ability to create an API key that can perform actions with the same set of permissions as your user account. This allows you to automate Gremlin tasks safely and securely.

How can creating chaos achieve better reliability? Chaos and reliability might seem mutually exclusive, but through the use of Chaos Engineering, SREs can bring about meaningful changes to system resiliency.

Continuous monitoring (CM), also referred to continuous control monitoring (CCM), is an automated process that allows DevOps teams to detect compliance and security threats in their software development lifecycle and infrastructure. Traditionally, businesses have relied on periodic manual or computer-assisted assessments to provide snapshots of the overall health of their IT environment.

22 April 2021: Today, Canonical released Ubuntu 21.04 with native Microsoft Active Directory integration, Wayland graphics by default, and a Flutter application development SDK. Separately, Canonical and Microsoft announced performance optimization and joint support for Microsoft SQL Server on Ubuntu.

Today we will install Ruby on Rails (RoR) on a Debian Linux operating system (Ubuntu 18.04 LTS). With that said, RoR is compatible with other operating systems with just a few tweaks. This blog will assist you in installing RoR with a simple step-by-step process. Your installation may differ, for other operating systems refer to this site. I am new to developing and have been using Ubuntu 18.04 LTS, a flavor of Debian Linux, for my projects.

Codefresh is an awesome platform for doing GitOps deployments to Kubernetes. Starting last year, the Codefresh team has been adding rich integrations with Argo CD and Argo Rollouts, GitOps observability dashboards, and more. Codefresh pipelines, in particular, have played an integral role in our customers’ progressive delivery workflows by allowing them to orchestrate all of the testing, analysis, and rollback activities that work in conjunction with Argo CD synchronization.

Today’s IT landscape is complex, hybrid, and fast-moving, and the adoption of multi-cloud infrastructure, applications, and new digital transformation initiatives is accelerating. IT operations teams, playing a vital role in enabling the delivery of uninterrupted services and creating business value for enterprises, are finding they need to constantly grow their resources to manage all the moving pieces in their IT stack. This can get expensive … but how much are they spending?

“Morning, mate,” I greeted Dinesh as he walked into the office. “Nice get up for the big day!” He was wearing a pressed shirt, rather than his usual hoodie. “Thought I’d make an effort, you know,” he grinned. We’d been planning intensely for this moment for the last week or so – our meeting with Charlie, the CIO, to present the results of our Moogsoft experiments and ask for permission to extend the rollout across the enterprise.

Since 2009, Juju has been enabling administrators to seamlessly deploy, integrate and operate complex applications across multiple cloud platforms. Juju has evolved significantly over time, but a testament to its original design is the fact that the approach Juju takes to operating workloads hasn’t fundamentally changed; Juju still provides fine grained control over workloads by placing operators right next to applications on any platform.

In this series, we’ve introduced key HashiCorp Vault metrics and logs to watch, and looked at some ways to retrieve that information with built-in monitoring tools. Vault is made up of many moving parts, including the core, secrets engine, and audit devices. To get a full picture of Vault health and performance, it’s important to track all these components, along with the resources they consume from their underlying infrastructure.

In Part 1, we looked at the key metrics for monitoring the health and performance of your HashiCorp Vault deployment. We also discussed how Vault server and audit logs can give you additional context for troubleshooting issues ranging from losses in availability to policy misconfiguration. Now, we’ll show you how to access this data with tools that ship with Vault.

Codefresh is a DevOps automation platform with Kubernetes and Docker native tools and features. You can create powerful pipelines and utilize the provided dashboards by connecting different Kubernetes clusters and registries to receive further insights into your deployments. Additionally, by enabling GitOps for your repositories you can reach the highest level of confidence in your Kubernetes deployments.

Technology has accelerated changes toward information-based healthcare delivery and management. Today’s multi-disciplinary approach to delivering better healthcare outcomes coupled with advanced imaging and genetic-based customized treatment models depend on AI/ML driven information systems. At Robin.io, we believe machine learning is the life-saving technology that will transform healthcare. AI/ML challenges the traditional, reactive approach to healthcare.

Last week DevOps Institute’s Chief Ambassador, Helen Beal, and Moogsoft’s own Chief Evangelist, Richard Whitehead, continued to follow the exploits of DevOps Engineer Sarah and her journey towards AIOps and Observability enlightenment.

In this video with with Kohsuke Kawaguchi (KK) from Launchable and Viktor Farcic we talk about testing K8s applications. Do we really need to write all the tests every time we make a change to the source code or make a release? That could take minutes or even hours. Wouldn’t it be better to run only the tests related to the changes we are making or the phase of the lifecycle of an application? Is the future of testing in AI and ML?

TLDR: Stackify is joining with Netreo to bring best-of-breed solutions for developers and IT operations. Together, their observability platform can help both small development teams and the world’s largest enterprises manage and monitor their applications and infrastructure. Stackify has been working for the last 9 years to help software developers monitor and deb their productions applications.

One of the new features that came with the latest update of vSphere with Tanzu was the ability to use TKG Extensions. This powerful framework allows simplified deployment and management of multiple open source projects that are backed by VMware support, including alerting with Prometheus, visualization with Grafana, ingress with Contour, and logging with Fluent Bit.

Many of you use HashiCorp Consul for service discovery. It makes connecting one backend application or service to another easy: Your Consul servers store a catalog of addresses to all of your services; when an application within the network wants to discover where a service is listening, it asks Consul, which gives it the address.

Whether running on the public cloud or a private cloud, the use of containers is ingrained in today’s devops oriented workflows. Having workloads set up to run under the mandated compliance requirements is thus necessary to fully exploit the potential of containers. This article focuses on how to build and run containers that comply with the US and Canada government FIPS140-2 data protection standard.

During the next five weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!

VMware is one of the top virtualization software that allows you to create virtual machines and make the best use of your resources. One of the major focuses of virtualization solutions is to enable optimized use of resources like memory and computing power, but overcommitting your hypervisor towards greedy resource management can lead to severe degradation in the overall performance.

The process of developing software applications has evolved over the years. DevOps has taken over the world, and more and more companies are starting to adopt the DevOps culture in their process. DevOps is a practice of operations where engineering teams work together through the entire software development cycle. It includes functions from development to testing and deployment to production support. Because of that, DevOps has become popular in the industry.

Cron jobs handle a lot of background plumbing that keep applications running smoothly. But cron job failures often go unnoticed and be disastrous for your users and business. To make sure that you are aware about cron job issues, you should use a cron monitoring tool. In this post, we will see how to get started with Cronitor to monitor your cron jobs.

As we look to continue to provide value to our Remediate customers, we focused on how we create simple and effective workflows in the product. Our customers have told us there are some really important quality of life features that would go a long way in helping reduce the pain and frustration of remediating vulnerabilities and enable them to better communicate with their security partners.

Telepresence 2 was recently released and (like Telepresence 1) it is a worthy addition to your Kubernetes tool chest. Telepresence is one of those tools you cannot live without after discovering how your daily workflow is improved. So what is Telepresence? It is too hard to describe all the functionalities of the tool in a single sentence, but for now I would describe it as the “Kubernetes swiss army networking tool”.

The exponential growth of machine generated data in recent years has created the need for solutions purpose-built to handle extremely high-frequency telemetry data. This has driven increasingly more organizations to adopt time series databases and address the unique challenges around ingesting, analyzing, and storing massive amounts of time-series data.

SREs may have better long-term job prospects, but DevOps might be an easier career to pursue.

Site Reliability Engineers are expected to know everything that’s happening, all of the time. That’s a lot of things! To help you sift through the noise, we’ve developed a feature that lets you find accurate data about your organization on-demand. You can do this by sending custom-designed commands to FireHydrant directly from your integrated Slack account.

Broadly speaking, the Linux community can be divided into two camps – those who upgrade their operating systems in-vivo, whenever there is an option to do so in their distro of choice, and those who install from scratch. As it happens, the former group also tends to rarely reinstall their system when problems occur, while the latter more gladly jump at the opportunity to wipe the slate clean and start fresh. So if asked, who should you listen to?

When buying AWS Savings Plans and RIs, Spot Eco makes it easy to create a highly utilized and well-balanced blend of Savings Plans and RIs. Leveraging 3rd party Standard RIs (with shorter terms) alongside Convertible RIs, and Savings Plans, Eco helps ensure maximum savings with minimum commitment.

‍In Sleuth’s continuing efforts to help our customers to deliver faster and safer, we have always put security as a top-level business priority. Security and privacy of our customers’ data is always in the forefront of our design, development, and deployment concerns. We understand the level of trust our customers put in us when they connect key systems together with Sleuth.

Argo Rollouts is a progressive delivery controller created for Kubernetes. It allows you to deploy your application with minimal/zero downtime by adopting a gradual way of deploying instead of taking an “all at once” approach. Argo Rollouts supercharges your Kubernetes cluster and in addition to the rolling updates you can now do In the previous article, we have seen blue/green deployments.

Massive tomes have been written on engineering management, but I thought it might be helpful to take a brief minute to discuss setting up your Founding Engineers (FE) for success. For this post I define FEs as the first wave of engineers hired after the founding team. This round of hiring usually takes place after seed funding has been secured and some semblance of initial product/market fit has been achieved.

DevOps vs DevSecOps: Learn the similarities and differences of each agile methodology and the essential processes involved.

One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that’s often easier said than done.

There are many paths to the cloud, and the one you choose depends on your particular digital transformation requirements and resources. About a decade ago, Gartner cleverly developed an alliterative nomenclature to describe five different migration strategies: the five Rs. That list has evolved over time and there a lot of 5-, 6-, and 7-strategy variations out there.

If you’re a developer, a DevOps engineer or just a person fascinated by the unprecedented growth of Kubernetes, you’ve probably scratched your head about how to get started. MicroK8s is the simplest way to do so. Canonical’s lightweight Kubernetes distribution started back in 2018 as a quick and simple way for people to consume K8s services and essential tools.