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Optimize Your CI/CD Pipeline with Codefresh & Lightstep

How do you know if the changes that you’re making to your microservices are having the desired impact to your end-users? What happens after a deploy? Did your app’s performance remain the same? Were any bugs introduced? Do you need to roll back? With Codefresh and Lightstep, you’re able to more quickly, more accurately, and more easily ensure that any commit and build results in a better experience for your end-users.

13 Key features every Modern CI/CD Tool should contain

DevOps methodologies have become a huge staple of the Software Development Lifecycle. As such, more and more companies have been adopting the need for Continuous Integration/Continuous Delivery (CI/CD) tools. Building a successful CI/CD workflow can be a tedious process that requires your team to participate in a large amount of preparation and planning — but it doesn’t have to be that way.

13 Key Features Every Modern CI/CD Tool Should Contain

DevOps methodologies have become a huge staple of the Software Development Lifecycle. As such, more and more companies have been adopting the need for Continuous Integration/Continuous Delivery (CI/CD) tools. Building a successful CI/CD workflow can be a tedious process that requires your team to participate in a large amount of preparation and planning — but it doesn’t have to be that way.

Local Kubernetes Development with Okteto

At Codefresh we understand how much Kubernetes has changed the local flow for developers and we have already covered not only local Kubernetes distributions for Mac, Windows and Linux, but also specialized tools such draft, skaffold, garden.io and tilt.dev that are focused on developers who work with Kubernetes. This time we will look at Okteto, a brand new tool that aims to make developers more productive when using Kubernetes.

Using Codefresh to Deploy a Windows Server Application to Google Kubernetes Engine

While Kubernetes has been traditionally used with Linux workloads, the desire to run Windows applications is an important need for many organizations that have critical applications running on Windows Server. Docker has already offered support for native Windows containers, so the next missing piece would be Windows node support in Kubernetes clusters. Google Cloud has recognized this gap and is now offering Windows support for Kubernetes clusters.

The Pain of Infrequent Deployments, Release Trains and Lengthy Sprints

One of the most critical metrics when it comes to the software delivery process is deployment frequency, which measures how often releases are happening in production. While in theory all organizations should strive to deploy as often as possible, in practice the benefits for frequent deployments are often overlooked or buried under endless technical debates.

Making the Most of Helm 3

Building upon the success of Helm 2, Helm 3 has recently been released and the server-side component, Tiller, is finally gone! Helm works out-of-the-box with Coderesh, so releasing your Helm 3 applications is as easy as pie. In this blog post, you will learn about viewing Helm releases, and monitoring Helm environments. Still using Helm 2? Not to worry! With a click of a button, in Codefresh, you can manage both Helm 2 and Helm 3 clusters simultaneously!

Making the Business Case for DevOps

Engineering and “the business” don’t always speak the same language. That’s why in this blog post and webinar, we want to show you how to bridge the gap using the language “the business” understands: cold hard cash. When talking to the business value, here are four areas that DevOps provide value for your organization with associated calculators so you can get an exact value to share with your organization.

Deploying Your Applications Using Codefresh, Google Cloud Platform, and Google Kubernetes Engine

Kubernetes offers scalability and reliability for your container-based applications. Combine this with GKE, and you now eliminate the need to install or operate clusters on your own. A huge plus to using GKE is that you now will be running Kubernetes in a GCP environment, therefore you can utilize all the handy integrations Google has to offer. Codefresh simplifies the process even more, by automating the process of getting your code built, tested, and deployed.