Operations | Monitoring | ITSM | DevOps | Cloud

datadog

Remediate Kubernetes incidents faster using private actions in your apps and workflows

Mar 31, 2025 By Aneesh Kethini In Datadog
The Datadog Action Catalog provides more than 1,400 actions to help you accelerate remediation across your infrastructure directly within Datadog. With actions, you can use Workflow Automation to configure workflows that automatically address issues as they happen and build custom apps in App Builder that empower anyone in your organization to act when incidents occur.
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How we structure on-call rotations at Datadog

Mar 26, 2025 By Laura de Vesine In Datadog
A well-structured on-call rotation helps you ensure the reliability of your services and meet your customers’ expectations by designating staff to respond to emerging issues. But the pressures of on-call work—such as long shifts, overnight hours, and dynamic situations—can compromise the well-being of your team members. This makes it harder for them to maximize service uptime during their on-call shifts and can limit the velocity of the feature work they do outside of their on-call duty.
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How to create an effective paging strategy

Mar 26, 2025 By Addie Beach In Datadog
Empowered engineers and effective tools are the foundation of incident management, and having a solid on-call process can help facilitate both. In practice, however, many paging approaches have the opposite effect, often overwhelming responders and increasing burnout. To create an effective paging strategy, organizations should focus responder attention on the most important issues and help facilitate a sense of ownership over them.
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How state, local, and education organizations can manage logs flexibly and efficiently using Datadog Observability Pipelines

Mar 19, 2025 By Abe Rosloff In Datadog
State, local, and education (SLED) organizations need their logs to provide clear, structured insights into system performance, user behavior, and security risks. But often, the picture becomes scattered and chaotic instead, with critical log data buried in noise and gaps that make logs difficult to interpret.
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Modernizing Government IT: Observability, Security & Cost Optimization with Datadog

Mar 17, 2025 By Datadog In Datadog
Government IT leaders face the monumental challenge of modernizing aging systems, migrating to the cloud, and enhancing citizen services—all while ensuring security, compliance, and cost efficiency. Siloed tools and limited visibility create roadblocks to achieving these goals. Datadog’s FedRAMP-authorized platform provides full-stack observability, AI-powered security, and cloud cost optimization, helping agencies simplify complexity, strengthen Zero Trust security, and maximize IT budgets.
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Best practices for managing Datadog organizations at scale

Mar 14, 2025 By Santiago Gómez Sáez In Datadog
The adoption of Datadog in large enterprises typically goes beyond integrating metrics, traces, and logs to unify observability. These enterprises must implement and use Datadog in a compliant and standard way across divisions, teams, and projects to enhance data security, comply with regulations, manage costs, and increase operational efficiency.
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Datadog On Datadog

Mar 13, 2025 By Datadog In Datadog
At Datadog, over 2,000 engineers deploy and ship new features daily. As a leading observability and security platform used by thousands of companies, ensuring quality and reliability is no small feat. Part of our commitment to excellence lies in our dogfooding culture where our engineering organization is one of the largest and most demanding users of the Datadog platform.
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Incident Response: Keeping Cool When Everything's on Fire

Mar 12, 2025 By Datadog In Datadog
The DevOps revolution broke down the traditional silos between development and operations, fundamentally reshaping how we build and maintain software. But with this evolution came an inevitable reality for many engineers: being on-call and responding to incidents. While critical for service reliability, the on-call experience often brings significant stress.
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Monitor GitHub Copilot with Datadog

Mar 11, 2025 By Bowen Chen In Datadog
AI-powered coding tools are becoming more commonplace within developer workflows. GitHub Copilot is a popular AI coding assistant that can be integrated directly into IDEs or as a standalone chat interface. This tool helps you write code faster and with less effort by auto-completing code in real time, generating blocks of code from natural language prompts, and answering your questions to help you get over coding hurdles and roadblocks.
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