This article will describe the process of installing Rancher 2.4 on a highly available K3s Kubernetes cluster in Microsoft Azure. It will also take advantage of Microsoft Azure Database for MySQL, which removes the dependency on etcd and provides us all the additional features that Azure delivers with this service. You will learn how to deploy the infrastructure to support this pattern using only the Azure Cloud Shell.
Considering the scale of log data that modern cloud environments generate, it’s oftentimes prohibitively expensive to index all of it. For monitoring and logging, cost management is just as important as in other parts of the business. Whether sudden spikes of log data overwhelm databases or good business generates more activity in your environment, teams should anticipate and mitigate the steep costs that result from high log volumes.
Since launching in 2014, AWS Lambda has dramatically grown in popularity. Lambda allows you to run code 7without having to manage the underlying compute resources. From a monitoring standpoint, you no longer have the need or ability to observe traditional performance metrics like CPU and memory. That doesn't mean you don't need to keep an eye on other things, though. So what metrics should you monitor for your Lambda functions?
As of April 15, 2020, Mattermost Extended Support Release (ESR) version 5.9 is no longer supported. If any of your servers are not on ESR 5.19 or later, we highly recommend that you upgrade immediately. With our simple upgrade steps, it takes only a few minutes. Mattermost adopts a monthly tick-tock release cycle, with a new version shipping on the 16th of each month.
JFrog was honored to be recently interviewed by NYSE Floor Talk regarding the company’s efforts during the COVID-19 crisis. The quick video was shot at a safe social distance of course, but focused on JFrog’s FrogCare program. The program provides free software development and DevOps tools to accelerate delivery for research organizations that are supporting the fight against the novel coronavirus.
Lumigo’s Transaction Timeline lets you see in a glance the flow of a transaction across its components and the latency caused by each, allowing you to easily identify bottlenecks and issues. Distributed tracing is a popular method for monitoring and profiling transactions in a microservices architecture. It’s what developers use to pinpoint failures, performance drops and other problems.
