Crafting a Winning Observability Strategy - Wednesday, March 13, 2024

Join Chronosphere 📅 next week on March 13th for an insightful webinar with featured speakers Carlos Casanova from Forrester 🎙️ and Ian Smith from Chronosphere! 🎙️
They're exploring the intricacies of crafting a well-defined #cloudnative #observability strategy, from managing complexities 🔄 to evaluating organizational priorities. 🎯
Register here: https://go.chronosphere.io/crafting-a-winning-observability-strategy-webinar.html?utm_campaign=Oktopost-Campaign%3A+Developer+productivity&utm_content=Oktopost-LinkedIn&utm_medium=social&utm_source=LinkedIn

https://redd.it/1b6ce6r
@r_devops

Fluent Bit 3.0!

📷 Exciting News: Fluent Bit 3.0 is Here! 📷 A serious advancement for cloud native #observability teams, with new features and enhancements to power your telemetry needs and keep you in control of your data. #OpenSource


Read more on the u/Calyptia blog: https://calyptia.com/blog/fluent-bit-v3

https://redd.it/1bo7zeu
@r_devops

Trace your application with OpenTelemetry and Jaeger

Trace your application with OpenTelemetry and Jaeger

https://medium.com/@rasvihostings/trace-your-application-with-opentelemetry-and-jaeger-109fb0420b3b

#gke #k8s #openTelemetry #sre #observability #python

https://redd.it/1gc4c0t
@r_devops

Observability on CI/CD pipleine (GitHub Actions pipeline observability)

I just published an article how to create a observability on CI/CD pipleine (GitHub Actions pipeline observability) https://medium.com/@rasvihostings/github-actions-pipeline-observability-1a3b49f0d93a
\#openTelemetry #DevOps #Observability

https://redd.it/1gq24qs
@r_devops

Struggling to move Kibana dashboards between environments?

Rebuilding dashboards, searches, and visualizations from scratch can be a pain. But did you know there’s a simple way to export and import them effortlessly?
In our latest blog, we walk you through the easiest method to transfer Kibana dashboards, searches, and visualizations—saving you hours of manual work.
 Check out the full guide
 Have you tried exporting Kibana dashboards before? Share your experience in the comments!
\#Kibana #Elasticsearch #DevOps #ITMonitoring #DataVisualization #Observability #Skedler

https://preview.redd.it/ixbdp0japwle1.png?width=1536&format=png&auto=webp&s=0c5bf0798deffea6f05b2cc3be18de55477a880b



https://redd.it/1j0boz7
@r_devops

Single pane of glass Observability MCP server( a Jarvis style AI assistant)

I’m excited to share a project I’ve been diligently working past month during my free time to help out #devops #sre folks who are always oncall and into “firefighting” incidents, it’s an observability MCP server.

This MCP server — whose name, Eagle-Eye acts like a Jarvis-style MCP server.
Eagle-Eye aims to streamline workflows for on-call #devops, #sre engineers by providing quick insights using the power of AI.

You can ask Eagle-Eye things like:
🔍 “Why is this Kubernetes pod crashing?”
📊 “What’s this Datadog alert about?”
🧑‍💻 “Who’s on call in PagerDuty?”
📈 “Can you explain this PromQL query?”

Eagle-Eye connects to systems using the MCP server, retrieves data, and uses AI to provide recommendations back to the user.

Currently integrated systems include:
Kubernetes (k8s)
PagerDuty
Prometheus
Datadog
…and more integrations are on the way!

It currently use Cursor IDE to interact with the MCP server, making it feel like you’re chatting directly with your infrastructure.

Feel free to download the repo and add more integrations or update the code — it’s completely open source. The idea, as I mentioned, is to have a single-pane-of-glass tool that helps DevOps, SREs, or on-call folks.

I’ve attached some snapshots inside the repo for quick reference.

Here’s the link to the repo:- https://github.com/neeltom92/eagle-eye-mcp/blob/main/README.md

In my next post, I plan to share how I leveraged Facebook’s Prophet forecasting library and time-series metrics from Datadog to build an MCP server that does infrastructure capacity planning at scale.
Imagine a tool that could help predict traffic patterns on CPU, memory, HPA, and more — perfect for handling spikes during Black Friday sales or marketing campaigns.
Excited to keep building and sharing!

#mcp #server #ai #observability #devops #sre

https://redd.it/1lqkgxm
@r_devops

OpenTelemetry Collector Contrib v0.139.0 Released — new features, bug fixes, and a small project helping us keep up

OpenTelemetry moves fast — and keeping track of what’s new is getting harder each release.

I’ve been working on something called **Relnx** — a site that tracks and summarizes releases for tools we use every day in observability and cloud-native work.

Here’s the latest breakdown for OpenTelemetry Collector Contrib v0.139.0 👇
🔗 https://www.relnx.io/releases/opentelemetry-collector-contrib-v0.139.0

Would love feedback or ideas on what other tools you’d like to stay up to date with.

\#OpenTelemetry #Observability #DevOps #SRE #CloudNative

https://redd.it/1ose1kf
@r_devops

Datadog Agent v7.72.1 released — minor update with 4 critical bug fixes

Heads up, Datadog users — v7.72.1 is out!
It’s a minor release but includes 4 critical bug fixes worth noting if you’re running the agent in production.

You can check out a clear summary here 👉
🔗 https://www.relnx.io/releases/datadog%20agent-v7.72.1

I’ve been using Relnx to stay on top of fast-moving releases across tools like Datadog, OpenTelemetry, and ArgoCD — makes it much easier to know what’s changing and why it matters.

\#Datadog #Observability #SRE #DevOps #Relnx

https://redd.it/1oskcl3
@r_devops