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Codefresh

Full Observability: From Push to Production

Understand what happens as soon as you do a code push until long after your code lands in production. Observability is looking into your code as it runs in production, and understanding the impact of your changes in real-time. With the right understanding, you make informed decisions, spending less time fixing, and more time improving. See how Codefresh and Honeycomb can help you push your code to production with confidence.

Announcing Codefresh Runner: a foolproof, easy way to run pipelines on your own Kubernetes clusters.

Running and maintaining CI/CD infrastructure has long been a headache for engineering teams which has led to the popularity of SAAS solutions like Codefresh cloud. But for many, this doesn’t meet their strict security requirements or allow them to access on-prem code, artifacts, or other resources.

Migrating from the Codefresh registry to Google Container Registry

On July 15th the Codefresh registry that is part of all Codefresh accounts will be removed from service. The removal is part of a big round of improvements to our native integration with Docker registries. We have invested significant efforts in using Codefresh as a unified platform for Docker images and the way they are used inside CI/CD pipelines. More details on the migration actions for the Codefresh registry can be found in our timeline announcement.

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.