Run Prometheus reliably on AWS with patterns for scale, cost control, and visibility across EKS, EC2, and multi-region setups.

Learn how to connect Jaeger with your APM to combine tracing and performance monitoring for deeper system visibility.

Understand key APM metrics like response time, error rates, throughput, and resource usage to keep your applications reliable and fast.

Join Xygeni for a hands-on webinar exploring how AI can automate application security and streamline developer workflows. Learn how to move beyond noisy alerts and manual triage with intelligent, real-time remediation workflows that secure your CI/CD pipeline, without slowing developers down.

What you'll learn:

- How to auto-fix secrets, OSS vulnerabilities, and code flaws directly from alerts
- Ways to reduce false positives and focus on what really matters
- How to set up developer-friendly guardrails across your SDLC
- Practical steps to protect every commit and pull request

- and much more!
Date: October 8
Time: 17:00 CEST / 11:00 EDT
Platform: LinkedIn

The session includes live demos and real-world examples. Replay available for all registrants.

👉 Register here: https://www.linkedin.com/events/7375842799042248704/

See you there!

Know how asynchronous job monitoring tracks background tasks, ensuring they finish reliably, perform well, and stay visible at scale.

Understand Kubernetes Service Discovery with clear examples of Services, Endpoints, DNS, Ingress, and headless setups in action.

Understand Kubernetes APM by linking request flows with pod, node, and cluster data to get complete visibility at scale.

Understand Kubernetes monitoring metrics that help detect issues early, improve reliability, and keep your cluster performing at its best.

Understand APM tracing to see how a request moves through services, helping you spot delays, errors, and bottlenecks quickly.

Monitor, debug, and optimize Python apps in production with APM—track transactions, DB queries, errors, and external calls.