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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Curious about the Conda universe? Learn what Conda is & where it came from, what Conda packages are, which Conda communities to join, & more!
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.
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.
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.
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.
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.
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.
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.
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 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!
