Operations | Monitoring | ITSM | DevOps | Cloud

re:Invent Recap Livestream: 2024

Did you miss this year’s re:Invent? Or maybe you were onsite but too busy deep diving on certifications, new products, and networking. Don’t worry—the Datadog team is streaming right to your home on December 17 to recap all of the highlights from the event. Join Andrew Krug from Datadog’s Technical Community along with a host of AWS guests to hear about exciting announcements from AWS re:Invent 2024, Datadog’s latest product launches, and a rundown of the best on-demand sessions that you’ll want to make sure to tune into.

This Month in Datadog: Monitor OpenAI costs, Kubernetes Active Remediation, IaC Security, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Datadog Cloud Cost Management for OpenAI.

This Month in Datadog - December 2024

On the December episode of This Month in Datadog, Jeremy Garcia (VP of Technical Community and Open Source) covers Kubernetes Active Remediation, Datadog IaC Security, and a trio of new features for monitoring AWS resources. Later in the episode, Natasha Goel (Product Manager) spotlights Datadog Cloud Cost Management for OpenAI. Also featured is a short recap of Datadog at KubeCon North America and AWS re:Invent 2024.

Datadog Database Monitoring: Improve Database and Application Performance

Datadog Database Monitoring unifies query, application, and database telemetry in one platform, enabling teams to easily identify bottlenecks, understand database load, optimize query performance, uncover costly queries, and correlate database and application telemetry.

Increase visibility into network incidents using moovingon.ai and Datadog

moovingon.ai is a platform that consolidates alerts, incidents, audits, runbooks, and other resources for 24/7 network operations center (NOC) engineering teams. These teams often have to work collaboratively to maintain uptime for mission-critical cloud infrastructure and applications and need specialized resources to facilitate investigations in the event of an issue.

Highlights from AWS re:Invent 2024

Whether or not you made the journey to this year’s AWS re:Invent, there’s always a variety of great announcements lost amid an action-packed week of keynotes, breakouts, expo hall demos, and networking sessions. No need to worry—we’re always happy to be a big part of the re:Invent experience and share our observations with you. You can also join us on December 17, 2024, for a re:Invent re:Cap livestream by registering here.

Automatically group events and reduce noise with AI-powered Intelligent Correlation

When you have a complex IT environment with many disparate tools, data sources, and teams, alert noise becomes overwhelming. This can delay incident response and cause missed alerts, ultimately leading to critical incidents and outages. Datadog Event Management’s Event Correlation groups and deduplicates events and alerts, reducing noise and helping response teams act on alerts faster.

Troubleshoot infrastructure changes faster with Recent Changes in the Resource Catalog

Organizations often struggle to maintain visibility and control over their distributed cloud infrastructure, where changes in a single resource can have cascading effects throughout the system and potentially cause disruptions. In these environments, infrastructure changes that lead to incidents are often hard to troubleshoot—especially when teams are using disparate tools with siloed data—leading to longer resolution times, more downtime, and negative business outcomes.

Track configuration changes across multi-cloud environments in the Resource Catalog

Organizations often struggle to maintain visibility and control over their distributed cloud infrastructure, where changes in a single resource can have cascading effects throughout the system and potentially cause disruptions. In these environments, infrastructure changes that lead to incidents are often hard to troubleshoot—especially when teams are using disparate tools with siloed data—leading to longer resolution times, more downtime, and negative business outcomes.

Optimize and troubleshoot cloud storage at scale with Storage Monitoring

Organizations today rely on cloud object storage to power diverse workloads, from data analytics and machine learning pipelines to content delivery platforms. But as data volumes explode and storage patterns become more complex, teams often struggle to understand and proactively optimize their storage utilization. When issues arise—such as unexpected costs or performance bottlenecks—these teams frequently lack the visibility needed to quickly identify and resolve root causes.