Coditation’s Post

💾 Please check my final project on DATA605, Simple Messaging System with Rabbit MQ. This is a Python-based project that leverages RabbitMQ, a robust messaging system, diving deeper into RabbitMQ's capabilities by incorporating message acknowledgment mechanisms to ensure reliable message delivery and fault tolerance. This project takes a step forward from a simple logging system to a more advanced system that uses a topic exchange instead of a direct exchange. With a topic exchange, messages can be routed based on multiple criteria. Specifically, this project will focus on how to subscribe to logs based on the severity of the log as well as the source that generated the log. https://lnkd.in/enx6Jn7H

Explore solutions to OutOfMemoryErrors in Apache Flink during checkpointing, with insights into root causes and both immediate and long-term strategies for effective memory management in stream processing. This post is a guide for developers and architects to enhance fault tolerance and efficiency in Flink applications. Check the blog below: https://lnkd.in/dgu4_7Gn #debugging #apacheflink #softwarearchitecture #softwaredevelopment

My latest Blog about Transaction Management of Micro Services with the help of Camunda and Apache Pulsar https://lnkd.in/eK8QRS9i A practical example about implementing Saga Pattern.

Writing good expressions for Prometheus can be surprisingly hard! Read blog post by Michael Hoffmann of Aiven on how to make alerting and recording rules more reliable and consistent for PromQL using Semgrep. https://lnkd.in/grg5Afhf

I wrote a blog about going "From RAG to riches - The LLMOps pipelines you didn’t know you needed" Following from my earlier post this week (https://lnkd.in/gm_eUhY6), I got a lot of questions and feedback about adding more detail. So I spent some time writing down my thoughts on how a #LLMOps RAG journey might evolve in the enterprise. For those who did not follow all the threads, here are some insights from the conversations we had in the comments: * Leon Uschwa asked about the cost/benefit analysis of adding reranking to the entire process. * Nicolas A. Duerr made a valid point about tracking the history of conversations as a key piece to track * Thank you to Sankar Nagarajan who dropped some 💎 about vector DB content management and RAG observability - I'm hoping to dig into that soon Read the full blog here: https://lnkd.in/g2BGaZ7j P.S. If you are deploying RAGs in production and resonate with some of the challenges laid out, comment below! I'd love to learn more!

"Profile-guided optimization (PGO) is a compiler feature that uses runtime profiling data to optimize code. Now fully integrated in Go 1.21 , PGO is a powerful tool to boost application performance — and with Grafana Pyroscope, our open source continuous profiling database, you can significantly magnify the value of PGO. In this post, we’ll explore what PGO is, how the Pyroscope team has used it internally to improve performance, and how you can use PGO to make your own programs faster." https://lnkd.in/ekYSTNwG

Managing and monitoring resources in a Kubernetes cluster can be a complex task, especially as your applications scale. To simplify this process and gain a comprehensive overview of your cluster, tools like Kubeview come to the rescue. Kubeview is a powerful open-source tool that provides a visual representation of your Kubernetes cluster, allowing you to explore resources and their relationships. In this blog post, we will delve into the features and benefits of Kubeview and guide you through its installation and usage.

https://lnkd.in/d6eCpjX4 << ...Type-safe, consistently named and formatted, structured logging wrapper for SLF4J that's ideally suited for your logging aggregator... >>