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Tech

Where to run AWS workloads and how to limit their access | Datadog

Learn how to organize AWS workloads and shared services, how that affects security…
When you’re setting up AWS infrastructure, you need to decide which accounts will host your applications, deployment pipelines…
AWS Organizations lets you organize workloads and shared services into member accounts based on their ownership, purpose, and isolation requirements.

datadoghq.com3d ago

Tech

Investigate Kubernetes health and processes with the Datadog MCP Server | Datadog

Use Datadog MCP Server tools and skills to investigate Kubernetes control plane health, search running processes…
When investigating issues with a Kubernetes service, SREs and platform engineers need to understand what’s happening across its supporting infrastructure.
For example, is a process still running?

datadoghq.com5d ago

That is today’s edition. You are caught up.

Tech

How we investigated prompt cache misses with Datadog | Datadog

An investigation of prompt cache misses in internal AI applications by using Datadog Cloud Cost Management and Agent Observability.
Our internal AI applications repeatedly send the same system instructions, tool definitions, and conversation history to large language models (LLMs).
Prompt caching lets models reuse this data from previously processed input, reducing the cost of handling repeated content.

datadoghq.com8d ago

Tech

Highlights from Oracle AI World 2026 | Datadog

A recap from Oracle AI World 2026, covering AI agents, multi-cloud databases, and Datadog’s support for monitoring Oracle environments.
Oracle AI World 2026 brought customers and partners to Las Vegas to explore how AI can support their existing business…
At the event, Datadog participated in a session with Peloton Consulting Group and hosted a booth covering observability across Oracle…

datadoghq.com9d ago

Tech

Manage Kubernetes observability with DatadogInstrumentation | Datadog

Configure Kubernetes checks, logs, tracing, and profiling with DatadogInstrumentation while keeping workload changes separate from Agent deployments.
For teams that own an application running on Kubernetes…
But configuring integration checks, log collection, and tracing often means working across multiple configuration paths.

datadoghq.com9d ago

Tech

Compare AI agent changes with Online Experiments in Agent Observability | Datadog

Learn how Datadog Online Experiments, available through Agent Observability…
Improving an AI agent often involves changing its prompts, models, retrieval methods, or tools.
But determining whether those changes actually improve performance can be difficult.

datadoghq.com10d ago

Tech

Agents make decisions at runtime—your security controls should too | Datadog

Learn how we’re building AI Guard to secure AI agents at by detecting and blocking threats at runtime.
AI agents are creating a virtually unbounded attack surface.
To be useful, they need access to internal systems, developer tools, and sensitive business data.

datadoghq.com12d ago

Tech

How we use Insights to improve the agent behind Insights | Datadog

Learn how Datadog uses Insights in Agent Observability to identify cost and reliability problems in its own AI agent…
Improving an AI agent means knowing which behaviors to change and where those changes will have the greatest impact.
Insights in Datadog Agent Observability improves AI agents by analyzing agent traces to identify recurring cost and reliability problems.

datadoghq.com15d ago

Tech

Datadog named a Leader in the Forrester Wave™: AIOps Platforms, Q4 2026 | Datadog

Datadog has been named a Leader in this report, reflecting Datadog’s commitment to transforming observability into AI-powered, autonomous operations.
Datadog has been named a Leader in The Forrester Wave™: AIOps Platforms, Q4 2026.
We believe this placement reflects Datadog’s commitment to transforming observability into autonomous operations with a single integrated platform where AI…

datadoghq.com16d ago

Tech

Default to serverless for AI agents, then let production data decide what moves | Datadog

Learn how to run AI agents as serverless workflows, build an execution profile…
Serverless should be the first execution model teams evaluate for AI agent workloads.
Many agents spend much of their lifetime waiting, and always-on compute forces teams to pay for every idle minute.

datadoghq.com16d ago

Tech

Match monitoring depth to workload needs with Infrastructure Basic | Datadog

Monitor host health and resource usage across lower-priority workloads with the lightweight Infrastructure Basic tier from Datadog.
A back-office server that runs out of disk space can interrupt an important internal workflow.
A process that stops on a staging host can delay development.

datadoghq.com17d ago

Tech

Build better SLOs with RUM and synthetic SLIs | Datadog

Learn when to use RUM and synthetic monitoring for SLIs, what each source misses, and how to interpret their results together.
Well-designed service level objectives (SLOs) help you track the benchmarks your app needs to meet to deliver a successful user experience (UX).
To track performance against these SLOs, many SRE teams are turning to real user monitoring (RUM) and synthetic monitoring for their service level indicators (SLIs) , as these forms of data provide more direct measureme…

datadoghq.com25d ago