The latest News and Information on DevOps, CI/CD, Automation and related technologies.
As Kubernetes continues to grow in popularity at a staggering rate, it’s only natural more and more people want to see what all the fuss is about. We’ve seen first hand how excited people are to try it out since launching #KUBE100 (our Kubernetes beta) – we’ve had tremendous interest and some great feedback so far. If you’re reading this and you have no idea what #KUBE100 is, it’s the name we gave to our k3s-powered, managed Kubernetes beta program.
This blog post will provide you with information on how to use JFrog CLI with JFrog Distribution workflows. JFrog Distribution manages your software releases in a centralized platform. It enables you to securely distribute release bundles to multiple remote locations and update them as new release versions are produced. For those of you who are not yet familiar with the JFrog CLI, it is an easy to use client that simplifies working with JFrog solutions using a simple interface.
To achieve unified observability, we need to gather all of the logs, metrics, and application traces from an environment. Storing them in a single datastore drastically increases our visibility, allowing us to monitor other distributed environments as well. In this blog, we will walk through one way to set up observability of your Kubernetes environment using the Elastic Stack — giving your team insight into the metrics and performance of your deployment.
Launching a production app onto the cloud is a big task with a ton of tiny sub-tasks, and it can all be pretty overwhelming. We're here for you. We've launched an app ourselves (Blue Matador, our cloud infrastructure monitoring software). In the coming weeks, we will walk you through everything you need to know and do to successfully launch your app—with the least amount of effort.
In January, AWS announced the ability to export RDS snapshots to S3. This new feature allows you to export your RDS data to S3 buckets in Apache Parquet format. Today, I’m happy to say that we’ve added a new action to help with this feature: Export RDS Snapshots. This new action will automate the process of exporting RDS snapshots to S3 on a daily basis.
An AWS Auto Scaling group (ASG) is a fleet of EC2 instances that can scale up or down depending on application demand. The elasticity of Auto Scaling groups makes them highly-attractive options for enterprises who do not want to invest in purchasing expensive hardware only to respond to sudden or temporary spikes in application demand.
