Operations | Monitoring | ITSM | DevOps | Cloud

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.

When it comes to troubleshooting application performance, metrics are no longer enough. To fully understand the environment you need logs and traces. Today, we’re going to focus on your Java applications.

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?

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.

AWS Activate is a program that provides startups with free AWS credits. There are specific requirements startups must meet in order to qualify, and not all startups that qualify end up receiving the free AWS credits. Still, for any startup planning on running their app in AWS, it’s probably worth a try. AWS Activate has two packages: the Founders package and the Portfolio package.

PostgreSQL is an open source database known for its reliability and performance. It’s used across many industries and applications, and is especially a favorite of web developers. All major web frameworks support PostgreSQL natively, from node.js and Django to Rails and Spring, so its adaptation is relatively broad across the internet for site backend systems. As with any database, developers need tools to work with them. Pgweb is an open source, web-based client for PostgreSQL.

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.

The new release of FortiOS 6.4 from 31 March 2020 brings a new and interesting feature of using webhooks for external API calls and enable automation stitches, which are easy to configure in FortiGate UI and allow you to run multiple actions. This led us to revise our integration script to utilize this functionality and allow administrators to easily configure different levels of mitigation with the webhooks.

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.