Operations | Monitoring | ITSM | DevOps | Cloud

This article will focus on using Azure Application Insights to monitor the real-world business apps. Azure Application Insights is an Application Performance Management (APM) service for developers and DevOps professionals. It is used to monitor an app that is live in real-time. It supports a variety of platforms including .NET, Node.js, Java, and Python hosted on-premises, hybrid, or any public cloud. Application Insights can be used in two ways to monitor your Application.

We're happy to announce that on September 15th, 2020, we will begin gradually enabling a new traffic acceleration improvement for all Bitbucket Cloud users (Free, Standard, and Premium) when accessing Bitbucket.org for Web- or Git-based (ssh/https) operations. This new improvement leverages AWS Global Accelerator to route traffic to and from Bitbucket Cloud via 83 Points of Presence in 73 cities across 38 countries, potentially dramatically speeding up transaction times.

Eric Sorenson and Melissa Sussmann discuss Puppet’s event-driven automation platform, Relay, and how it helps clean up the “DevOps Dumping Ground” left behind from a tangled web of gitops and cloud events. Ditch your digital duct tape with a repeatable and reusable platform. Home-grown glue logic is expensive and high risk compared to the alternative.

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.

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.

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.

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.

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.

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.

Having a proper backup recovery plan is vital to any organization's IT operation. However, when you begin to distribute workloads across data centers and regions, that process begins to become more and more complex. Container orchestration platforms such as Kubernetes have begun to ease this burden and enabled the management of distributed workloads in areas that were previously very challenging.