Operations | Monitoring | ITSM | DevOps | Cloud

For DevOps teams managing mission-critical databases, SQL Server observability is a fundamental capability that provides comprehensive insight into database performance and health. Effective observability practices enable teams to identify potential issues before they impact end users and provide the context necessary to resolve problems efficiently. SQL Server observability involves collecting and analyzing metrics, logs, and traces to build a complete picture of database behavior.

In modern distributed architectures, observability has shifted from optional to necessary. OpenTelemetry has emerged as the standard framework for telemetry data collection, with exporters serving as the critical bridge to your backend monitoring systems. For developers at any stage—those new to observability practices or those refining existing monitoring setups—a solid grasp of OpenTelemetry exporters will significantly reduce debugging time and improve system visibility.

Today I'm thrilled to announce that Emerge Tools is joining Sentry. Emerge builds best-in-class mobile tooling trusted by some of the most important brands in the world. You’ve probably seen the work of the team through their relentless efforts to improve mobile builds, efforts we’ve always admired here at Sentry. It was no surprise that when we finally met Emerge founders Josh and Noah we found that we shared a similar view of the world and hit it off instantly.

In August 2012, we set out to build a fairly priced, developer-centric APM and logging platform that we’d love to use ourselves. Soon after, AppSignal was born and quickly gained traction. Despite operating in a competitive market, we’ve become a household name among many of our peers, now serving over 2,000 organizations across six continents.

Histograms help you monitor and visualize the distribution of values for key metrics, such as response times or request sizes of a service. They’re frequently used to gain insights into data patterns, anomalies, and trends, making them an important tool for observability.

Figuring out why things break still sucks. We’ve got all the data: metrics, logs, traces, but getting to the actual root cause still takes way too long. Observability tools show us everything, but they don’t really tell us what’s wrong. So why do we even need to automate root cause analysis? First, time. Outages are expensive. And if your system has hundreds or thousands of services, digging through everything by hand just takes way too long.

We’ve added a new option to log in to Oh Dear: passkeys! When logging in using a passkey, you don’t have to type an email or password, and you won’t be redirect to a third party for logging in. It’s also super fast.