Operations | Monitoring | ITSM | DevOps | Cloud

When monitoring third-party applications with Prometheus, you’ll need an exporter if the application doesn’t already expose metrics in the appropriate format. How do you find an appropriate exporter, and once you have your exporters, how should you organize your label taxonomies to reflect your infrastructure? Many applications in the systems you’re in charge of will be third-party applications, which do not natively expose Prometheus-formatted metrics.

You know the feeling. You’ve just deployed a new version to production and are monitoring the Rollbar dashboard for any new errors or looking out for any Slack notifications. You’re keeping an eye on the number of new or reactivated errors, their severity level, and triaging to see which errors need to be assigned and to whom. Now what if you could automate these tasks?

Nishant Singh is an SRE at LinkedIn based in Bangalore. Currently, he is working towards building and maintaining applications that improve the overall MTTD (Mean time to detect) and MTTR (Mean time to recover) of the site. He likes to build services and play with the latest technologies. Before LinkedIn, Nishant worked for a few companies in the security and e-commerce domain as a DevOps engineer where he was primarily responsible for building infrastructure, deployment pipelines and security.

I have worked at Virtana for nearly 9 years. During that time, I have had the pleasure to interact with customers, prospects, and partners around the world. The types of conversations I have participated in have dramatically shifted during that time. Back in September 2011, the dialogues were largely focused on Storage Area Network (SAN) infrastructure, and how Virtana could provide performance assurances targeted at this environment. Over time, the conversations have broadened dramatically.

Introducing, adding, or replacing a new SCA (Software Composition Analysis) tool such as JFrog Xray into your SDLC, if not handled correctly, can be very disruptive to the SDLC and organization. This blog post provides recommended best practices for onboarding JFrog Xray; in order to reduce disruption, improve adoption, and shift left to create a DevSecOps behaviour.

Today Bitbucket is releasing a new labs feature, "Pending Merges", which allows for automatic merging of pull requests when builds pass. This means no more continually checking back in on your pull request, just waiting and waiting for your builds to pass before you can finally merge it. You will no longer be forced to begrudgingly fix that one-character whitespace typo in your comment that you really should fix, but that means you're in for another 30-60 minutes of watching your builds.

Many organizations use Kubernetes to quickly ship new features and improve the reliability of their services. Rancher enables teams to reduce the operational overhead of managing their cloud-native workloads — but getting continuous visibility into these environments can be challenging. In this post, we’ll explore how you can quickly start monitoring orchestrated workloads with Rancher’s built-in support for Prometheus and Grafana.

If you’re a JavaScript developer there’s a very good chance you’ve heard of or use Vercel. In the small chance you haven’t, Vercel is this awesome platform that makes building and deploying Jamstack frameworks like Next.js incredibly fast and easy. Next.js is gaining in popularity with 51k stars on GitHub and it’s one of the most trusted stacks in the JavaScript world these days.

GitLab users will feel even more cunning 🦊 managing your issues directly from GitKraken. The GitKraken Git GUI now integrates with GitLab and GitLab Self-Managed Issues! Now there’s no need to leave the comfortable foxhole of your GitKraken environment to stay on top of your issues. Context switching is, after all, the enemy of an optimal workflow.

In order to have the most successful deployment, there are a few best practices that software development teams should be mindful of. First, following a continuous delivery approach allows software development teams to release in shorter cycles, so that building, testing, and releasing can be done with greater speed and reduced error rates.