Anyscale's own Sam Chan and Cindy Zhang delve into the technical nuances of multi-application serve architectures with diverse dependencies. Discover how different containers can now be deployed on the same serving cluster in this week’s Ray Spotlight interview: https://lnkd.in/gfv6QZwD
Anyscale’s Post
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Build News App with the help of News Api with paging library in Clean Code Architecture Source Code: "https://shorturl.at/NjwOv"
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The Observability CAP Theorem Observability is a pretty wild field. Almost everyone has their own definition of it. I won’t get into that nonsense. Instead, I’ll elaborate a bit on what I believe to be a fundamental nature of this space. #Observability #CAPTheorem #SoftwareEngineering #DistributedSystems #CloudComputing #DevOps #Monitoring #Logging #SystemArchitecture #SiteReliabilityEngineering https://lnkd.in/gtYJeJvv
The Observability CAP Theorem
http://phillipcarter.dev
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One of the most difficult things about being a Developer Advocate for a company like Grafana Labs is explaining how everything fits together. I'm (relatively) new to the company myself, having joined through an acquisition, so understanding the big picture is something that I've had to work on as well. Here's a video to help others piece together all the moving parts of the projects that make up Grafana Labs. #observability #grafana #reliability
Open source observability explained - the Grafana Labs stack
https://www.youtube.com/
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My 3rd article is out now. A short one to illustrate some points I will be building upon in future posts.
It's the start of a new month and we have a new Benevity Tech Blog up on the site. Corey Jasinski has created part 3 to his Restricting Values with ValueObjects. Check it out now!
Restricting Values with ValueObjects
benevity.com
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Latency Whack-a-Mole: Our Renderer’s Sawtooth Mystery Solved I would like to share a recent blog post on Typeform Engineering Blog where we dive into an interesting technical challenge we faced with our Renderer service. 👉 Check out the full story here: https://lnkd.in/dpYwdmMT In this article, we explore how we fixed latency spikes in Typeform's form service. Using Datadog, we tracked down the issue and found a solution to keep everything running smoothly. Follow along as we share our troubleshooting adventure and the steps we took to solve the problem. #Typeform #Datadog #Engineering #SoftwareDevelopment #PerformanceOptimization #Latency #TechBlog
Latency Whack-a-Mole: Our Renderer’s Sawtooth Mystery Solved
medium.com
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How to evaluate your LlamaIndex RAG pipelines using Ragas + Athina AI (YC W23) 👇
One of the best ways to improve RAG pipelines is to improve the retriever. Bad retrival → bad response Good retrieval → good response LlamaIndex lets you experiment and create advanced retrieval architectures quite easily. But how do you measure performance of these Rag pipelines? You can use Athina to run a suite of evaluations (we have 30+ preset evals including Ragas metrics), view the results in a UI, and automatically record the experiment historically. Here's a quick tutorial showing you how to set that up in 5 mins. (link in comments)
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This article is a great example of data type checking and minimizing personally identifiable information (he uses age instead of full birthdate). ThreeShield’s code security review service finds far too many cases where developers assume that data was type-checked and sanitized in previous steps. As a result, we’ve seen cases where “integers” lead to authentication bypass, SQL injection, and cross-site scripting vulnerabilities! Hard vulnerability assessments are more fun, so I'm always happy to see proper data validation.
It's the start of a new month and we have a new Benevity Tech Blog up on the site. Corey Jasinski has created part 3 to his Restricting Values with ValueObjects. Check it out now!
Restricting Values with ValueObjects
benevity.com
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📌 "Retrieval Augmented Generation - A Simple Introduction" is a set of notes . These notes talked about - 🔹 What is Retrieval Augmented Generation? 🔹 How does RAG help? 🔹 What are some popular RAG use cases? 🔹 What does the RAG Architecture look like? 🔹 What are Embeddings? 🔹 What are Vector Stores? 🔹 What are the best retrieval strategies? 🔹 How to Evaluate RAG outputs? 🔹 RAG vs Finetuning - What is better? 🔹 How does the evolving LLMOps Stack look like? 🔹 What is Multimodal RAG? 🔹 What is Naive, Advanced and Modular RAG?
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Learn how observability can save you from the horror of mis-directed tickets. Join the OPStober webinar tomorrow!
🎯 How can you go from misdirected tickets to precise incident resolution? Answer: #OpenTelemetry-driven observability. Learn how it’s revolutionizing #ITOps: https://bit.ly/3BGyQtF #OPStober #Observability
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Experienced Senior Software Engineer Proficient in .NET Core, Web API, Angular 2+, Microservices, and Azure Certification
I recently came across the topic of reflections, and I find it to be a highly useful feature with some potential for altering existing functionalities. In the following, I will explain how it could bring about changes to existing features. Doc: https://lnkd.in/gANAAnPp Git: https://lnkd.in/gAkHKafX
