Operations | Monitoring | ITSM | DevOps | Cloud

In part one of this series, we learned how to implement batch updates and advanced inserts in Ecto to dramatically improve database performance. But implementing these optimizations is only the first step. Ensuring they continue to work effectively in production requires professional monitoring and observability. This guide will show you how to use AppSignal for Elixir to monitor your Ecto application's performance when dealing with batch data operations.

As a technology leader at Elastic, my team is responsible for building AI experiences on a centralized architecture to enable our sales and customer support teams to scale their impact and take advantage of AI faster.

Recently, crowdfunding giant GoFundMe made headlines after (among other things) automatically generating some 1.4 million donation pages for U.S. 501(c)(3) nonprofit organisations. These pages were created without prior consent, using publicly available IRS data and partner-feeds. According to reports, many nonprofits discovered these pages only when alerted by a donor or curious patron; they had no advance knowledge and had to manually un-publish or “claim” the page.

Java is one of the most widely used platforms for supporting web applications. According to RedMonk and TIOBE rankings, Java has consistently remained in the top 4 most popular programming languages worldwide, with millions of developers actively using it. Industry-standard application servers such as WebLogic, WebSphere, Tomcat, and JBoss all run on Java and power a large share of enterprise workloads and Java web applications.

Restorepoint earned recognition for solving one of the hardest and most important challenges in network operations: keeping every device configuration backed up, verified, and ready to recover. It gave teams confidence that their infrastructure was consistent, compliant, and protected from the smallest misstep. ScienceLogic acquired Restorepoint in 2021 to build on that strength and extend it.

Writing queries is one of Grafana’s most powerful features, but it can also be one of the most time-consuming. Whether you’re exploring logs or building new dashboards, you often find yourself and your team rewriting the same queries over and over again. This is why we rolled out saved queries, a feature that makes it easy for everyone on your team to save, share, and reuse queries, eliminating the need to start from scratch each time.

When engineering teams evaluate observability tools, the "Datadog vs. Grafana" debate is one of the most common. The choice is difficult because they represent two fundamentally different philosophies. Datadog is a comprehensive, all-in-one, managed SaaS platform. It offers a "buy" solution where you get a unified experience for metrics, logs, and traces out of the box. Grafana is an open-source, highly flexible visualization layer.