Operations | Monitoring | ITSM | DevOps | Cloud

Demo Roundups! Beyond the Incident: Mastering Post-Incident Reviews for Continuous Learning

Aug 26, 2025 By PagerDuty Inc. In PagerDuty
What happens after an incident matters just as much as how you handle it. Anojan Gunasekaran, Senior Product Manager for Incident Analysis, presents an insightful session on transforming post-incident reviews from a bureaucratic necessity into a powerful tool for organizational improvement. Through a live demo, learn how to structure reviews that help facilitate meaningful discussions, identify systemic issues, and create actionable recommendations that prevent future incidents.
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Tech Talk - Holistic Visibility and Effective Alerting Across IT and OT Assets

Aug 26, 2025 By Splunk In Splunk
On this Tech Talk to learn how to gain complete visibility into all hosts and their potential vulnerabilities, misconfigurations and unpatched components in a single analytics platform, adding Tenable asset and exposure risk context improves alert prioritization and joint customers use Splunk for Centralized Reporting.
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Track Cloud Unit Economics with Datadog Cloud Cost Management

Aug 26, 2025 By Datadog In Datadog
Do you know the true cost per user, API call, or checkout? Datadog Cloud Cost Management lets you break down spend by combining cost, observability, and custom business metrics—all in one place. Track cost per transaction, alert on changes, and align engineering and finance with real-time unit economics.
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Put Cloud Costs in Front of Engineers with Datadog Cloud Cost Management

Aug 26, 2025 By Datadog In Datadog
Tired of surprises on your cloud bills? With Datadog Cloud Cost Management integrated into the Software Catalog, engineers see cost, performance, and reliability side by side—no context switching required. Give every service owner the visibility they need to make cost-aware decisions.
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We vibe coded a path tracer: Here's how we used static and dynamic analysis to fix it

Aug 26, 2025 By Bowen Chen In Datadog
When developing software, the longer you intend to keep a system around, the more important it becomes to prioritize its code quality. But as more organizations move toward microservice architectures and adopt agentic AI and LLMs into their development workflows, many engineering teams have increased their emphasis on accelerating developer velocity, often at the expense of code quality. This can often result in code that fails to meet standards for performance, reliability, and security.
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