Deploying through imperative kubectl commands is error-prone and time-consuming. In this webinar, we show you how to automate deployments to your Kubernetes cluster through Codefresh. Codefresh has several features to manage Kubernetes deployments, including the Kubernetes Environment Dashboard and the GitOps Dashboard.

In this video we show you, how you can live debug your Codefresh Pipeline; troubleshooting made super easy!

What would you say if I told you that you can be as productive with the cheapest laptop as with the one you already have? Would you believe me if I said that there is no need for you to install an IDE, compilers, CLIs, Docker, and whatever else you might have on your laptop? How about having a full development environment created whenever you need it instead of dealing with Virtual Machines and whatever else might be fulfilling your development needs?

Lesson 4: Use #Codefresh and #GitOps!

Brandon provides a high-level overview of the #Codefresh, The #1 #GitOps automation platform for #Kubernetes apps.

What is the Codefresh GitOps Dashboard? How can you get started using it? What are its benefits? This, and more, answered in this week's Codefresh Quick Bite

Brandon provides a high-level overview of the #Codefresh, The #1 #GitOps automation platform for #Kubernetes apps. TIMESTAMPS 00:00 - What is Codefresh? 00:26 - Key Integrations 01:06 - Codefresh Pipelines 01:28 - Live pipeline debugging 01:44 - Pipeline composition 01:50 - Open-source steps library, custom steps, and freestyle steps 02:20 - Conditional logic, variables, and breakpoints 02:43 - Trigger capabilities 03:15 - Granular control over concurrency 03:40 - DevOps dashboards & traceability 04:19 - Helm deployments and release boards 04:32 - GitOps support & ArgoCD Integration

Tune in every Friday for your weekly Tips and Tricks with Anais! This week ---- Lesson 3: Don't couple your Application to Kubernetes resources.

Your weekly DevOps tips & tricks are here! Check in every Friday for a new tip with Anais Urlichs. Lesson 2: Build generic Docker images.

Lesson 1: Don’t tag your Docker images with latest -- use specific versions