Operations | Monitoring | ITSM | DevOps | Cloud

datadog

Approaching your observability migration with the right mindset

Mar 9, 2026 By Nick Vecellio In Datadog
This guest blog post is authored by Nick Vecellio, Principal Engineer and Co-founder of NoBS, a Premier Datadog Partner specializing in hands-on Datadog migrations and optimizations. At NoBS, we help enterprises migrate their observability stack to Datadog. Teams often come to us after a migration has technically “worked,” but the new setup requires optimization tweaks to provide the clarity, reliability, or operational benefits they’re looking for.
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Four ways engineering teams use the Datadog MCP Server to power AI agents

Mar 9, 2026 By Bowen Chen In Datadog
Since the Datadog Model Context Protocol (MCP) Server first launched in Preview, Datadog has experienced an overwhelming amount of interest and feedback from customers. We appreciate those who requested access to test our product, provided feedback, and shared their stories of how the MCP Server helped them overcome engineering challenges.
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Datadog Incident Response: One platform from alert to resolution

Mar 6, 2026 By Datadog In Datadog
When incidents strike, speed and clarity are critical. Datadog Incident Response brings the full incident lifecycle into one platform so teams can move from detection to resolution with confidence. Operate from a single, unified view of your systems, coordinate across the tools your teams already use, and leverage AI that analyzes incidents in real time to surface context, guide decisions, and accelerate resolution.
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Meet the new Bits AI SRE: Deeper reasoning, twice as fast

Mar 5, 2026 By Dan Green In Datadog
When we announced Bits AI SRE at DASH 2025, we introduced an autonomous SRE agent that investigates alerts the moment they trigger. Bits AI SRE reads the same telemetry data as your team, understands your architecture, and follows your runbooks to identify likely root causes before you even open your laptop. It’s your AI teammate that’s always on call.
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Use plain English to query your multi-cloud infrastructure in Resource Catalog

Mar 4, 2026 By Sriram Raman In Datadog
Modern cloud environments include thousands of resources across providers, teams, and accounts. Organizations need the ability to quickly locate the right resources so that they can manage resource compliance and troubleshoot issues. When engineers need to answer questions such as which databases are still on extended support or which storage buckets lack encryption, they often have to switch consoles, use provider-specific query languages, and know obscure version strings or configuration flags.
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Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring

Mar 3, 2026 By Lauren Zuniga In Datadog
Every digital experience is a chain reaction. A customer logs in to an application, an API authenticates the request, a backend call retrieves data, a page loads, and somewhere along the way, something might break. When it does, teams often chase symptoms while the root cause remains hard to find. The more distributed the system, the more difficult it becomes to see how one small failure can cascade into a visible outage.
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This Month in Datadog - February 2026

Feb 27, 2026 By Datadog In Datadog
On the first episode of This Month in Datadog in 2026, Jeremy covers how you can protect agentic AI applications with AI Guard, stay up to date and collaborate during incidents with five Incident Management releases, and ship software with confidence using Feature Flags. Later in the episode, Kevin spotlights Datadog Data Observability, which enables you to detect data quality and pipeline issues early.
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Data Observability, AI Guard, Feature Flags, Ambassador program, and more | This Month in Datadog

Feb 27, 2026 By Datadog In Datadog
See how you can ensure trust across the data life cycle in February’s episode of This Month in Datadog. Join us for a spotlight of Datadog Data Observability, which enables you to detect data quality and pipeline issues early, as well as remediate those issues with end-to-end lineage. Plus, we cover: Protecting agentic AI applications from real-time threats with Datadog AI Guard Staying up to date and reducing steps to collaborate with five new Incident Management releases Releasing software with confidence using Datadog Feature Flags.
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Enable end-to-end visibility into your Java apps with a single command

Feb 26, 2026 By Sarjeel Yusuf In Datadog
Achieving end-to-end observability for applications is a top priority for organizations today, but instrumenting for both frontend and backend monitoring can be a significant hurdle. What complicates matters is that the SREs and DevOps teams responsible for deploying monitoring tools typically don’t own frontend code or have the context needed to safely modify it.
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