Continuous integration (CI) involves the test automation of feature branches before they are merged to the main Git branch in a project. This ensures that a codebase does not get updated with changes that could break something. Continuous delivery (CD), on the other hand, builds upon CI by automating releases of these branches or the main branch. This allows small incremental updates that reach your users faster, in line with Agile software development philosophy.

Learn how to adopt GitOps for your microservices deployments. This blog post will explain the highlights listed below and how it’s possible to adopt GitOps and the benefits of deploying with Argo for your microservices.

We recently revamped our freemium plan to be the most generous free CI/CD tier for developers on the planet. In addition to making powerful features and resources available on the Free plan, we’ve extended self-hosted runners to all CircleCI plans.

Your Puppet Enterprise (PE) installation’s primary job is to compile catalogs and send them to agents to be enforced. When you deploy code, all catalog compilation stops and waits for the code deploy to complete. This impacts performance in any installation, and the impact escalates with more frequent code deployments. Code deployments usually increase when you use Continuous Delivery for Puppet Enterprise, making the impacts of stopped catalog compilations even more apparent.

Software development in the banking and finance industry can make you feel like you’re wearing chains. Regulation, compliance, upfront costs, privacy, legacy systems, fear of cyberattacks, and an “if it ain’t broke” approach can lead to a lack of innovation. Despite these challenges, some technology-forward banks like Capital One, JP Morgan Chase, HSBC, and Wells Fargo have embraced the cloud and introduced DevSecOps and cloud-friendly architectural practices.

DevOps is a well established discipline. By now, most developers, IT engineers and site reliability engineers (SREs) have heard all about the importance of “breaking down silos” and achieving seamless communication and collaboration across all stakeholders in the continuous integration/continuous delivery (CI/CD) process — which extends from source code development through production environment management and incident response.

Tracking application-level and infrastructure-level metrics is part of what it takes to deliver software successfully. These metrics provide deep visibility into application environments, allowing teams to home in on performance issues that arise from within applications or infrastructure. What application and infrastructure metrics can’t deliver, however — at least not on their own — is breadth.

Virtualization uses software to create an abstract layer over the hardware. By doing this it creates a virtual computer system, known as the virtual machines (VMs). This will allow organizations to run multiple virtual computers, operating systems, and applications on a single physical server How Does Virtualization works: Virtual machine (VM) is a virtual representation of a physical computer.Virtual machines can’t interrelate directly with a physical computer, but.

Before automation became commonly used by software development teams, bottlenecks, repetitive tasks, and human error were rampant. Automation has freed up valuable human resources for organizations while reducing the risk of human error caused by active human brains trying to perform mundane repetitive tasks. Recent strides in the area of continuous integration and continuous deployment (CI/CD) have made it more feasible to automatically deploy updates to software applications.