As Washington and the nation reel from the spread of COVID-19, public servants across the country are quickly adapting to the “new normal.” As described in OMB’s March 23rd memo to agency and department heads, harnessing technology to support mission continuity should be a priority.

Wherever people encounter a search bar — whether on Google, phone apps, or while shopping online — they're conditioned to expect search experiences that deliver fast and relevant results. With this ever-evolving expectation in mind, millions of developers and organizations have chosen Elasticsearch for building powerful content discovery experiences over the years, to the great delight of their audience and user base.

In today’s digital economy, the pressure to develop and release new software has become paramount to deliver great customer experiences and create a competitive advantage. Unfortunately, the process by which to deliver this software is increasingly complex and highly fragmented across various tools and teams. While this complexity increases, there is also no easy way to centrally measure, monitor and secure the overall performance of the software delivery pipeline in real-time.

It has certainly been quite a month. With millions of workers forced to stay home due to COVID-19, or in some cases laid off altogether, the world’s networks have been under some unusual strains. Let’s see how that’s played out during this month in glitches.

Logging is vital to the success of any IT project. With solid logging practice, you can troubleshoot errors, find patterns, calculate statistics, and communicate information easily. With the size and complexity of modern systems, performing these actions involves various analysis activities. One of these important analysis activities is anomaly detection. What is anomaly detection, and where does it fit in all of this? That’s what this post is about.

Stop. Before you start adding KPIs to your brand new glass table, make sure you’ve done your homework on design principles.