Kubernetes is an open source container orchestration system for automating computer application deployment, scaling, and management, and seems to have established itself as the de facto standard in this area these days. The shift from monolithic applications to microservices brought by Kubernetes has enabled faster deployment, where dynamic environments become commonplace. But on the other hand, this has made monitoring applications and their underpinning infrastructure more complex.

Even before COVID-19 forced nearly everyone to grapple with virtual work, most organizations had mountains of content scattered across numerous teams and dozens, if not hundreds, of apps. But now new research shows the cost of poor employee experiences for organizations: productivity, confidence, and opportunity.

Software performance issues come in all shapes and sizes. Therefore, performance tuning includes many aspects and subareas, and has to adopt a broad range of methodologies and techniques. Despite all this, time is one of the most critical measurements of software performance. In this multi-part series, I’ll focus on a few of the time-related aspects of software performance — particularly for security software.

We’re excited to introduce usability enhancements to the Elastic Cloud Enterprise (ECE) platform administration console to simplify your experience. Administration is shifting to a host-based management and dedicated role pages for ECE proxies and control plane.

In a previous blog, we covered how you can incorporate synonyms into your Elasticsearch-powered application. Here, I build upon that blog and show how you can combine stemmers and multi-word synonyms to take the quality of your search results to the next level.

As organizations migrate to Elastic from incumbent vendors, quickly onboarding log data from their current solution into Elastic is one of the first orders of business. Data onboarding often involves having to adjust ingestion architecture and implement configuration changes across data sources. We want to ensure that users trialing or migrating to Elastic can get data in quickly to start seeing the power of Elastic solutions as quickly as possible.

Our Kibana team has been hard at work implementing and executing on a new Kibana strategic vision to streamline the dashboard creation process and sand down the rough edges of creating visualizations for dashboards. We accomplished our goal and reduced the overall time it takes users to go from a blank slate to a meaningful dashboard that conveys insights about the data.

The University of California at Davis is an agriculturally focused university of more than 30,000 students. Founded in 1905, the university performs federally funded research for the U.S. Department of Defense, U.S. Department of Agriculture, and other agencies. It’s also home to an electric power substation, police and fire departments, and even an airport. All of this combined is a digital security challenge for Jeff Rowe, the university’s cybersecurity architect.

A modified version of this blog post appeared in the June 2021 issue of Signal magazine. Decisions that need to be made in an instant require answers in real time, but existing big data systems are unable to return queries quickly enough for real-time analytics. And with growing data being queried by more connected users than ever before, it’s getting increasingly challenging to maintain fast reaction times.

TL;DR: We recommend that you use the new point-in-time functionality in Elasticsearch if you can. The scroll API is no longer recommended for deep pagination (even though it still works). Most data is constantly changing. When querying an index in Elasticsearch, you are essentially searching for data at a given point of time.