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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

The Truth Is Out There - Anomaly Detection in DPA - SolarWinds Lab #75

In this episode, Head Geeks™ Patrick Hubbard and Thomas LaRock are joined by special guest, Distinguished Engineer Karlo Zatylny, to talk about the latest release of SolarWinds® Database Performance Analyzer, which includes anomaly detection powered by machine learning.

MyRacePass Goes Full Throttle With Retrace

Like many of our client successes, this one also starts in a basement. Three friends: Zach Calmus, Ross Van Eck, and Josh Holt came together over a love for motorsports and a passion for technology. A few years later, what had become one of the fastest growing motorsports web development companies had grown into the MyRacePass, a platform that would put the entire motorsports industry on a path of acceleration.

Monitor MongoDB Atlas with Datadog

MongoDB Atlas is a fully managed NoSQL database that deploys onto the cloud platform of your choice: AWS, Azure, or GCP. Atlas provides built-in security features and automatically distributes clusters across availability zones to help ensure high availability and uptime. We’re excited to announce that with our new integration, you can now monitor MongoDB Atlas health and performance metrics alongside the rest of your cloud infrastructure and the applications that depend on your database.

Surface Kubernetes Errors with Sentry

Kubernetes, like a lot of other tools, can be noisy. Errors and warnings often go completely unnoticed in the event stream. Or sometimes they are noticed, but are hard to understand in the context of what else is happening in the cluster. Sentry, unlike a lot of other tools, works to eliminate that noise as much as possible, including Kubernetes-related noise.

NYC Kafka Meetup: How To Rewind The New York Times Homepage and Capacity Planning at Datadog

Datadog recently hosted the NYC Kafka Meetup. Presenters included Jamie Alquiza (Datadog), Stephen Dotz (NY Times) and Michael Kaminski (NY Times). Jamie shared how Datadog conducts capacity planning for Kafka, and the NY Times team shared how their publishing pipeline works.