Operations | Monitoring | ITSM | DevOps | Cloud

March 2020

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.

Our roadmap for the new Docker image API and pipeline build step enhancements

In our previous announcement for the removal of the Codefresh Docker registry, we presented a timeline of the migration phases along with the actions expected from our customers. One of the milestones in the migration process is the introduction of our new Image API along with several enhancements on the pipeline build step. We believe that these features deserve a dedicated explanation of why they are useful on their own (regardless of the registry removal).

5 Simple Tips for Troubleshooting Your Kubernetes Pods

Once you start working with Kubernetes, and you deployed some applications to a cluster, you may have encountered issues where the application has not been deployed correctly or is not working as it should. In this webinar, we will explain the different statuses and error messages, and offer troubleshooting tips to resolve such situations swiftly!

Webinar: Making the Business Case for DevOps

The software development loop is, without question, the most critical component of any business and yet it can sometimes be difficult to get everyone to prioritize it. In this talk, we'll look at several case studies from major companies and how they became more competitive and more reliable to beat out competitors.

Three Ways to Create Docker Images for Java

Long before Dockerfiles, Java developers worked with single deployment units (WARs, JARs, EARs, etc.). As you likely know by now, it is best practice to work in micro-services, deploying a small number of deployment units per JVM. Instead of one giant, monolithic application, you build your application such that each service can run on its own. This is where Docker comes in!