Operations | Monitoring | ITSM | DevOps | Cloud

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

Why partners love working with Cribl

Hear directly from Cribl partners—including AWS—about what it’s really like to work together. This short is for technology and cloud partners, consulting firms, and customers who want a quick, human view of Cribl’s partner ecosystem and the value it delivers. In under two minutes, partners highlight Cribl’s partner program, the people they work with, and the outcomes they’re delivering for joint customers. You’ll hear about the FedRAMP opportunity, why “it’s all about the data” for AWS, and how Cribl helps get data where it needs to be for shared customers.

How a global telecom provider built a network operational twin and improved root cause analysis

A leading communications service provider partnered with @selector1327 to create an operational twin of its network, enabling faster root cause analysis and improved operational efficiency across a massive, multi-domain infrastructure.

Use OpenTelemetry-native observability with Datadog from ingestion to investigation

The recent announcement that OpenTelemetry (OTel) has achieved CNCF graduation further reinforces OTel’s credibility as the industry standard for vendor-neutral telemetry. As organizations increasingly adopt the OpenTelemetry Protocol (OTLP), the OTel Collector, and OTel SDKs, they need an observability platform that supports OTel-native data without sacrificing flexibility or portability.

MongoDB Query Tracing in .NET with Sentry + OTLP

If your.NET app talks to MongoDB, you almost certainly want to be able to measure DB performance so that you can effectively debug any performance issues you might run into. For that, you need to know which database command was running, how long it took, and whether this was a one-off blip or part of a broader pattern. Ideally, you also want to pivot from that trace to related errors and replays without stitching the story together by hand.

Best PR Review Tools for AI-Generated Code (2026)

Most PR review tools answer one question: does this code look correct? They scan the diff, flag known patterns, catch security violations, and post inline comments before merge, which is useful, but only half the review. The other half is behavioral: does the code actually behave correctly once it’s running against your live system?