Operations | Monitoring | ITSM | DevOps | Cloud

At the beginning of 2020, none of us could have imagined what we would be talking and thinking about at the end of the year. At JFrog, we began by talking about unifying everything in the DevOps lifecycle. Of course very quickly, the message of unity and togetherness would soon become even bigger than we could imagine in light of the global pandemic.

For developers and programmers, Amazon Web Services (AWS) offers many benefits. It gives you access to the computing and DevOps tools you need at the press of a button — which helps you get products out the door fast. However, it can be challenging to control your costs and identify waste. In this comprehensive guide, we will examine some practical steps you can take for AWS cost optimization.

Hardware virtualization, also known as hardware assisted virtualization, is the creation of virtual versions of operating systems and computers. The technology was made by AMD and Intel for their server platforms. Its purpose was to improve the processor’s performance and meet virtualization challenges such as translating memory addresses and instructions. Many IT businesses have deployed servers that run only at a fraction of their total capacity.

Now that we know the advantages of leveraging Ketch over other tools such as Helm to ease the deployment of our applications (BLOG: Helm vs. Ketch when Deploying Applications), a good next step is for us to understand how we can tie Ketch to our CI pipeline and have an automated deployment process. For this example, we will leverage Ketch, GitHub Actions, and a Kubernetes cluster on Google Kubernetes Engine (GKE).