Collect and analyse AWS CloudWatch logs with AI-powered Elastic Observability | S02 EP07 | Lets Talk About Data
In this show we discuss using Elastic Observability service to analyse AWS CloudWatch logs.
Ibrahim Emara
Amazon Employee
Published Feb 29, 2024
The show discusses using Elastic Observability to get more insights from logs, whether they are coming from on-prem or AWS cloud environments.
Show highlights:
- Elastic Observability helps improve system observability using monitoring, tracing and logging
- Multiple options exist to ingest logs from on-prem or cloud into Elastic
- Machine learning reduces alerts and AI assistants enable intelligent troubleshooting
- Data security ensured through encryption, RBAC, and PII censoring
- Multiple options exist to ingest logs from on-prem or cloud into Elastic
- Machine learning reduces alerts and AI assistants enable intelligent troubleshooting
- Data security ensured through encryption, RBAC, and PII censoring
Check out the recording here:
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Ibrahim Emara, RDS Specialist Solutions Architect @ AWS
Ayan Ray, Sr. Architect @ 𝐀𝐖𝐒
David Hope, Director @ Elastic
Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.