Operations | Monitoring | ITSM | DevOps | Cloud

Centralize, triage, and track tickets with Datadog Case Management

Complex systems require many different monitors to assess the health of their infrastructure and applications, creating a wealth of alerts that can be hard to track. Due to a lack of effective triage processes, many organizations page engineers for every alert that comes in, making it difficult to separate false positives from issues that actually require immediate attention.

Analyze the root causes and business impact of production issues with Trace Queries

Tracing provides indispensable insights into the state and performance of distributed applications, but it can often be difficult to determine the root cause or ultimate business impact of issues indicated by traces. Translating visibility of individual microservices into broader performance insights often requires drawing complex correlations between spans. This can be a laborious process, which can complicate everything from troubleshooting and triage to tracking KPIs and managing costs.

Advancing Observability Maturity: Core Benefits

One of the major trends in software development in the last decade has been “shifting left” responsibilities that have traditionally been under operation’s domain to earlier in the software development life cycle (SDLC). It first came in the form of DevOps where a lot of the software engineering best practices were introduced to the deploy, operate, monitor phases. Such examples include continuous integration and continuous deployment (CI/CD) and Infrastructure as Code (IaC).

Sentry .NET SDK 4.0 improvements for .NET 8

As we celebrate the 10th anniversary of Sentry’s support for the.NET ecosystem with over 150 million downloads, we’re excited to announce Sentry.NET 4.0! Building on top of.NET 8.0, this major release includes many exciting new features, including support for Profiling, Metrics, AOT and trimming, native crash reporting, Spotlight, and better.NET MAUI support. Version 4 of the SDK is now available!

Building Large-Scale User Behavior Analytics: Data Validation and Model Monitoring

As the demands of our customers continue to rise, Splunk User Behavior Analytics (UBA) V5.3 now boasts an increased ingesting rate up to 160K EPS from Splunk Enterprise to a 20-node large deployment. This scalability improvement facilitates support for 750K user accounts, 1 million devices, and 64 data sources.