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datadog

Explore Datadog metrics with Natural Language Queries

May 19, 2026 By Racheal Ou In Datadog
Metric exploration often begins with a simple question, but answering that question can require deep familiarity with metric names, tag structures, and query syntax. Experienced users spend time refining queries through trial and error, and newer users struggle to get started. As a result, teams face delays in troubleshooting and analysis. Valuable observability data, including metrics that are difficult to discover and query, also goes underused.
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Diagnose slow PostgreSQL queries faster with explain plan correlation

May 19, 2026 By Allen Zhou In Datadog
When a PostgreSQL query runs slowly, engineers often start with EXPLAIN ANALYZE. The output is a tree of plan nodes, each one describing a step the database took to execute it. A query with several joins and a subquery can produce 20 or more nodes. But the plan gives no visual indication of which node corresponds to each clause in the SQL text. Diagnosing the problem means viewing the plan in one window and the query in another, manually tracing connections between them.
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Attribute AI costs across providers with Datadog Cloud Cost Management

May 14, 2026 By Katherine Broner In Datadog
AI adoption is accelerating across organizations, and spending often follows a similar pattern: rapid growth, multiple providers, and limited visibility into where costs originate. Each provider exposes billing data differently, with distinct schemas, dimensions, and interfaces. FinOps and engineering teams often spend significant time consolidating fragmented data, only to end up with partial attribution and limited context about who or what generated the AI spending.
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Simplify micro-frontend observability with Datadog RUM

May 14, 2026 By Stella Ma In Datadog
Micro-frontend architectures, where independent teams build and deploy separate parts of a frontend application, introduce an observability challenge: Telemetry data is fragmented across services, making it difficult to determine which micro-frontend caused a performance degradation or error spike.
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Diagnose and resolve database performance issues faster with Database Investigator

May 8, 2026 By Ethan Perez In Datadog
When your database performance degrades, diagnosing the root cause is rarely quick or straightforward. Your existing tools might surface metrics like CPU utilization, wait events, and query duration, but then leave you to correlate the data and identify what went wrong. Worse, what first appears to be the root cause can often just be a downstream effect of multiple interrelated issues.
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Observability and Security for the AI Era

May 7, 2026 By Datadog In Datadog
Datadog has always been driven by a broader vision of helping teams understand and operate complex systems. In this session, you’ll hear from Michael Whetten, Product SVP, and Abrar Hussain, Senior Director, Product Management, as they share the latest updates across the Datadog product suite and discuss how that vision continues to shape the platform’s evolution and support the next generation of AI-driven applications.
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Datadog for Government achieves FedRAMP High certification

May 6, 2026 By Geoffrey Carlisle In Datadog
Modern government missions depend on software platforms that can perform under demanding conditions. As agencies update systems that support public safety, benefits delivery, financial operations, and national priorities, they face security and compliance requirements that shape how technology is adopted as well as how it is built, operated, and evolved over time.
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Analyze cloud costs with flexible spreadsheets in Datadog Sheets

May 6, 2026 By Katherine Broner In Datadog
Cloud cost data is most useful when teams can adapt it to their own reporting and planning needs. In addition to viewing cost breakdowns, FinOps teams often need to calculate forecasts, reshape datasets, and present tailored views to finance and leadership teams. In many workflows, those steps happen outside the observability platform. Once the data is exported, it quickly becomes outdated and requires repeated manual updates.
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How to Measure your Most Expensive Milliseconds

May 6, 2026 By Datadog In Datadog
In the fast-paced world of mobile development, reliability rarely fails with a loud crash; instead, it degrades quietly through micro-regressions that erode user trust and engagement. While most companies track backend health and API latency, they often fly blind regarding the actual screen-level responsiveness that defines the true user experience. When Expedia Group underwent a major technical evolution, the team realized they lacked a consistent baseline to compare performance across platforms, leaving them unable to validate improvements before rollout.
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Monitor and optimize Supabase query performance with Datadog Database Monitoring

May 4, 2026 By Kyra Abbu In Datadog
Built on Postgres, Supabase is an open source, all-in-one backend platform for developers who want to ship applications without managing infrastructure. This makes it especially popular with frontend developers and vibe coders who may have little to no database expertise. Datadog's Supabase integration provides high-level infrastructure metrics, but developers also need query-level visibility to easily diagnose, optimize, and trace performance issues back to their source.
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