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.

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.

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.

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.

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.

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.

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.

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.

‍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.

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At CircleCI, we care about security - in 2018, we became the first CI/CD tool to meet the rigorous security and privacy standards required by government agencies to get FedRAMP authorized. Now, CircleCI is SOC 2 certified, adding another industry-recognized security accreditation.

YAML is a digestible data serialization language that is often utilized to create configuration files and works in concurrence with any programming language. YAML is a data serialization language designed for human interaction. It’s a strict superset of JSON, another data serialization language. But because it’s a strict superset, it can do everything that JSON can and more.

The adoption of Infrastructure as Code(IaC) has skyrocketed in recent years as engineers seek ways to deploy cloud infrastructure faster and more efficiently. IaC refers to the technologies and processes that manage and provision infrastructure using machine-readable languages (code) as opposed to inefficient manual operations.

A build scan is a shareable and centralized record of an Android build that provides insights into what happened and why.

If you are looking for an Infrastructure as Code (IaC) tool, Terraform probably tops your list. In this tutorial, you will learn how to automate the deployment of changes to your infrastructure using Terraform and CircleCI workflows. The workflows will use Approval Jobs. For this project, we will deploy the infrastructure we build to Google Cloud Platform (GCP).

TL;DR: This year’s State of DevOps Report is the 10th anniversary edition of this annual research on how practitioners are making DevOps work for them. Whether you’re a big time CircleCI user or are just beginning your career, we want to hear from you. Please take the survey so your voice is represented in the 2021 State of DevOps.