Operations | Monitoring | ITSM | DevOps | Cloud

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Troubleshoot and secure your code faster with Datadog's Bitbucket Cloud Source Code integration

Aug 31, 2026 By Datadog In Datadog
Developers and SREs who use Bitbucket Cloud often need to move between their source code, observability data, test results, and security findings to investigate a problem. Connecting an error or slow method to the correct repository, file, and commit takes time. Teams may also discover vulnerabilities, infrastructure misconfigurations, coverage regressions, or flaky tests only after code has progressed further through the software development life cycle, when remediation is more disruptive.
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How Bits Database Optimization proves a query rewrite is faster

Aug 31, 2026 By Datadog In Datadog
A frequently encountered issue when exploring database optimizations is proving that a proposed query rewrite is actually faster than the existing query. Often, proving this isn’t just as simple as running both queries and comparing their execution times. When your hot queries are measured in milliseconds, factors such as cache states, concurrent queries competing for CPU and I/O, and noisy neighbors can mask the true performance difference between query versions.
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Debug live production code without redeploying with Datadog Live Debugger

Aug 27, 2026 By Datadog In Datadog
Some production bugs don’t show up clearly in logs or traces, and they often cannot be reproduced in a local or staging environment. When developers need more runtime detail, they typically fall back on a familiar but slow workflow: add log lines, open a pull request, wait for review and CI/CD, deploy the change, and wait for the issue to happen again. If the new logs don’t capture the right variable values or execution path, the loop starts over.
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Beyond the $1 AI era: How federal agencies can build the evidence for FY27 renewals

Aug 26, 2026 By Datadog In Datadog
Over the past year, federal agencies gained broad access to enterprise AI through the OneGov initiative, at prices unlike any normal software deal. The current OneGov portal lists OpenAI ChatGPT Enterprise at $1 per agency, Anthropic Claude at $1 per seat, and Google Gemini for Government at $0.47 per agency. Those introductory offers begin expiring on September 30, 2026, the final day of fiscal year (FY) 26, which places renewal squarely in the FY27 planning cycle.
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How Datadog saves over $1 million each month by optimizing AI usage

Aug 26, 2026 By Datadog In Datadog
At Datadog, we want to expose our engineers to high-quality AI tools and workflows. However, token usage can be expensive, and finding a balance between AI cloud spend and the return on investment can be difficult. But what if engineers could maintain their current AI workflows using the same tools, but at a lower cost?
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Golden Paths for AI agents: What changes when platform users aren't human?

Aug 25, 2026 By Datadog In Datadog
Agents are already calling your self-service APIs, querying your catalog, and independently provisioning resources around the clock. According to Gartner’s 2026 Hype Cycle for Agentic AI report, agents have had the most aggressive adoption curve of any emerging technology. Gartner even considers agents to be a formal user persona, referring to the agent experience (AX) throughout the report.
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Build your own Bits Agent with Datadog Bits Agent Builder

Aug 24, 2026 By Datadog In Datadog
Datadog Bits Agent Builder lets you build AI agents that use your observability data to automate operational tasks. In this walkthrough, see how to build an agent that analyzes monitor and alert activity, identifies patterns, and provides actionable recommendations to improve your monitoring strategy. With Bits Agent Builder, you can give agents access to Datadog data and tools, customize their instructions and models, and run them automatically to continuously analyze and act on your environment.
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Monitor Azure Functions across every hosting plan with Datadog

Aug 24, 2026 By Datadog In Datadog
Microsoft’s Azure Functions serverless compute service abstracts away infrastructure management to simplify how teams deploy and operate applications. However, the managed environment can make it harder to understand what happens inside those applications after deployment. Traditional approaches that rely on agents, extensions, and sidecars for direct collection of telemetry data aren’t available across every Azure Functions hosting plan, which can leave gaps in end-to-end visibility.
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Control trace volume with OpenTelemetry tail-based sampling

Aug 21, 2026 By Bill Meyer In Datadog
OpenTelemetry (OTel) tail-based sampling helps teams control trace volume by retaining errors, slow requests, and other traces worth investigating while dropping lower-value traffic. In distributed systems, a single request can fan out across many services, each emitting spans. That volume adds up quickly. Some applications produce millions of traces per hour, while large clusters generate more than 10 billion spans per day.
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How to add Software Catalog metadata at scale with Terraform | Datadog Tips & Tricks

Aug 20, 2026 By Datadog In Datadog
Adding metadata to Software Catalog entities manually is a tedious process that doesn’t scale as your service count grows. This video shows you how to automate that work with Terraform so you can add shared metadata across existing Software Catalog entities at scale.
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Two ways to measure the cumulative impact of experiments

Aug 18, 2026 By Lukas Goetz-Weiss In Datadog
Mature experimentation programs eventually have to report the cumulative impact of their shipped changes. The request might come as an ROI story for leadership, a revenue update for finance, or a gut check on the quarter’s progress. The tempting shortcut is to sum the observed lift from each winning experiment and report the total. That naive sum almost always overstates the truth because of a statistical artifact called the winner’s curse.
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Centralize human and agentic work with Datadog Work Management

Aug 18, 2026 By Datadog In Datadog
Teams often track operational work across spreadsheets, Slack threads, Jira tickets, and whatever system generated the original alert or signal. This fragmentation makes it difficult to maintain a consistent record of what needs attention, who or what is addressing the issue, and what has already happened. As AI agents take on more responsibility for investigations, triage, and code changes, the number of handoffs grows, making ownership, status, and history even harder to preserve.
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Trace AWS Lambda durable functions with Datadog

Aug 18, 2026 By Datadog In Datadog
AWS Lambda durable functions let you build long-running, multi-step workflows for use cases such as payment processing, order fulfillment, and AI workflows with human approval. A single durable execution can pause for a wait or callback, retry failed work, and resume in a fresh Lambda invocation without losing its state. The strong resilience provided by durable executions, however, creates an observability challenge because each invocation produces its own telemetry data.
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Data pipeline monitoring 101: Tracking health and performance across the data stack

Aug 14, 2026 By Datadog In Datadog
Data pipelines are systems for moving and processing data. They are made up of concatenated services and data stores that programmatically ingest data from upstream sources; filter, transform, enrich, and route that data; and deliver it to downstream consumers.
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Investigate account-level churn risk with Product Analytics account segments

Aug 11, 2026 By Datadog In Datadog
An account can show signs of disengagement long before a renewal conversation begins. Users may stop returning to a core workflow, stall during onboarding, or skip a newly released feature. Product teams often see these signals only at the user level, while annual recurring revenue (ARR), plan, renewal date, and ownership data remain in a customer relationship management (CRM) system or data warehouse.
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Instrument serverless apps with agentic onboarding

Aug 10, 2026 By Datadog In Datadog
Serverless platforms like AWS Lambda, Google Cloud Run, and Azure Container Apps let teams run applications without managing infrastructure. However, getting full visibility into those workloads has traditionally required a lot of manual setup. A single team may deploy serverless applications across multiple clouds by using tools such as Terraform, AWS SAM, AWS CDK, and the Serverless Framework. Each of these platforms, runtimes, and deployment tools requires its own instrumentation steps.
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Find, analyze, and collaborate on user sessions in Datadog Session Replay

Aug 6, 2026 By Datadog In Datadog
Teams supporting user-facing applications rely on session replays to understand user friction. But resolving an issue or improving the user experience takes more than watching a replay. Engineers, product managers, and designers first need to find the right sessions to investigate, then quickly learn what happened at the key moments. Once they’ve investigated a replay, they need to share what they found across product, design, support, and engineering so that the right teams can act.
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This Month in Datadog - July 2026

Aug 5, 2026 By Datadog In Datadog
In July’s episode of This Month in Datadog, Ruxanda Lueck joins Jeremy for a conversation about how you can confidently evaluate and release features that contain AI-generated code. She also discusses her career trajectory from containers to AI, how agentic workflows impact trust during feature development, and the challenges of testing nondeterministic agent behavior.
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Product leaders talk safer, faster releases and deeper analysis with Bits | This Month in Datadog

Aug 3, 2026 By Datadog In Datadog
In July’s This Month in Datadog, Jeremy is joined by Datadog product leaders for in-depth conversations about how Bits enables you to confidently evaluate and release features containing AI-generated code, and use natural language to ask, understand, and act across Datadog.
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