🚀 Big News! 🎉 We've just launched our Grafana LGTM Stack course on the DevOps Hobbies YouTube channel! 🔥

In this series, we’ll dive deep into Loki, Grafana, Tempo, and Mimir, unlocking the secrets of modern observability! 👨‍💻🌐

💡 Our first episode is LIVE NOW, covering:
🔍 Loki’s Architecture – Get an insider's look at how Loki manages logs at scale. 
⚙️ Setting up Loki and Its Components on Kubernetes – Learn the step-by-step process to get Loki up and running in your own cluster.

Curious about how to supercharge your logging and monitoring? Don't miss out! Check it out and start your Grafana LGTM journey today! 🎯

👉 https://youtu.be/YG1UiiSygyA?si=8kfw1AVMhlQWeWGJ

#GrafanaLGTM #Loki #DevOps #Observability #Kubernetes #GrafanaTempo #GrafanaLoki #GrafanaMimir #DevOpsHobbies #LoggingAtScale #OpenSource

🚀 Exciting News! 🚀
The third episode of my Kubeflow tutorial series is now live on the "DevOps Hobbies" YouTube channel! 🎥

In this series, we dive deep into Kubeflow, the powerful machine learning toolkit for Kubernetes, and explore how it can streamline your MLOps workflows. Whether a beginner or an experienced practitioner, this series has something for everyone!

🔗 Watch the full playlist here: https://www.youtube.com/playlist?list=PLYrn63eEqAzZ0BBrE5SkTwB5nOB4RlQCn

A huge thanks to the DevOps Hobbies team for featuring this series and to everyone who has been following along. Your support means the world! 🙌

If you're passionate about MLOps, Kubernetes, or AI/ML, this series is for you. Don't forget to like, share, and subscribe to stay updated on future episodes! 🚀

#Kubeflow #MLOps #Kubernetes #MachineLearning #AI #DevOps #DataScience #CloudNative #TechTutorial #DevOpsHobbies

سلام دوستان اگه دوست داشتید کمک کنید به پخش شدن این پست توی لینکدین برای کمک به دوستانی که میخوام تازه دواپس شروع کنند.

https://www.linkedin.com/posts/devopshobbies_devopshobbies-devops-cloudcomputing-activity-7412086961781288960-2Stm?utm_source=share&utm_medium=member_ios&rcm=ACoAAAftMtUBoeGn3lEVXPvpZmj39kUe0oXnxEk

🚨 The biggest bottleneck in AI coding isn't the model. It's context.

Every new AI session spends thousands of tokens relearning your codebase. And once you're in Claude Code, Codex, or another coding agent, you're locked into that provider, you can't switch models or providers without losing context.

Sema solves this by indexing your codebase once, locally, and sharing that context across Claude Code, Codex, OpenCode, Grok, and more.

✅ Switch models and providers without losing context
✅ Reuse your existing Claude Code, Codex, OpenCode, or Grok subscriptions, or bring your own API keys
✅ Keep everything local with one shared index across VS Code, the terminal, and MCP

Everything stays on your machine.

🔗 https://get-sema.com
💻 https://github.com/get-sema/sema

Would you use a tool like this?

#AI #ClaudeCode #Codex #MCP #DeveloperTools #OpenSource #DevOpsHobbies