One of the challenges introduced by microservices architectures is the ability to understand how the application performs and where most time is spent. The Elastic Stack and Elastic APM can provide observability for modern, microservice-based solutions as well as monolithic applications. Application Performance Monitoring (APM) combines different technologies to provide a deep, transparent and holistic view of what each service component is doing, where, when, and for how long.

Application performance monitoring (APM) is a critical part of a unified observability strategy. APM offers deep insights into application performance and behavior, and organizations depend on it to deliver performant and high-quality digital experiences to their customers — both for keeping a proactive pulse on the health of their applications and for troubleshooting issues.

Distributed tracing remains one of the most important features of any tracing system. Nearly a year ago, we announced Elastic APM distributed tracing, let’s take a look at how this useful feature works behind the scenes. Over the past few years, many applications have adopted microservice architecture. Each of the services in a microservice architecture can have their own instrumentation to provide observability into the service.

A lot of businesses are thinking about the future of virtual work and how to make it successful in light of recent world events. For managers and employees used to working in a traditional office space, moving to remote work can be a challenge on many fronts. How do I and my team stay motivated and productive? What’s the best setup for a home office? Most importantly, how do I separate office work from the duties I normally perform around the home?

Security teams must protect attack surfaces that are becoming bigger and more distributed due to the growth of remote work, cloud infrastructure, and other dynamics. These teams understand that meeting this challenge at scale requires the successful incorporation of the appropriate technology into their security operations program.

Distributed tracing is great — it helps you identify (micro)services within complex architectures having issues interfering with user experience, such as high latency or errors. But once a problematic service is identified, it can be difficult to find out which methods are to blame for the slowdown. Well, we have some big news to share for our Elastic APM users within the Java ecosystem.

More than 40 million people use GitHub as a collaboration tool for building software around the world. For most companies — including distributed teams like Elastic — GitHub has become a critical content source for building software, holding much of the information and knowledge upon which the organizations are built, across items like issues, pull requests, and more.

Last month, we hosted a webinar, Hunting for persistence using Elastic Security, where we examined some techniques that attackers use in the wild to maintain presence in their victim’s environment. In this two-part blog series, we’ll share the details of what was covered during our webinar with the goal of helping security practitioners improve their visibility of these offensive persistence techniques and help to undermine the efficacy of these attacks against their organization.

BlackSky monitors the globe from space, the air, the ground, the internet, environmental sensors, asset tracking sensors, satellites in space, social media feeds, industrial IoT, and other sources too numerous to name. Once gathered in their Elastic-powered analytics engine, all of the data from these disparate sources is correlated, compared, and cleaned.

Elastic Workplace Search is rooted in a simple, but powerful mission: bringing information, content, and files from every corner of your organization into a singular, centralized source of truth. Thanks to its portfolio of first-party integrations, Workplace Search easily connects to a variety of popular content platforms.