Autonomously optimize AWS Lambda deployments with Sedai and Datadog
Blog post from Datadog
Sedai, an autonomous cloud management platform powered by machine learning (ML), helps organizations optimize their modern applications based on container or serverless architectures. By integrating with Datadog, Sedai can now automatically detect and analyze Lambda instances, reducing manual effort required to maintain complex systems. The integration allows teams to configure Sedai to start autonomously optimizing functions for cost and performance, as well as detecting and remediating issues in serverless function metrics. This enables SREs and DevOps personnel to focus on more important tasks while keeping cloud costs low.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Serverless | 20 | 530 | 128 | 70 | +21% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.