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roma_glushko
searching PlanetScale…
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Deep Dive into Kubernetes Gateway API
(romaglushko.com)
3 points
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roma_glushko
5mo ago
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1 comments
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roma_glushko
5mo ago
Why Kubernetes Ingress Is Being Replaced and Which Gateway Controller to Pick
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roma_glushko
1y ago
Useful links: Github: https://github.com/datarobot/syftr Paper: https://arxiv.org/abs/2505.20266
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Designing Pareto-optimal RAG workflows with syftr
(datarobot.com)
67 points
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roma_glushko
1y ago
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13 comments
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roma_glushko
1y ago
A new OSS framework uses multi-objective Bayesian Optimization to efficiently search for Pareto-optimal RAG workflows, balancing cost, accuracy, and latency across configurations that would be impossible to test manually.
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What's OAuth2, anyway?
(romaglushko.com)
341 points
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roma_glushko
2y ago
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88 comments
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roma_glushko
2y ago
The article covers: - High-level architecture of the platform & the main data model - Handling communication with customers across 7 channels in a uniformed way and figure out to which ongoing conversation it belongs - How to receive
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roma_glushko
2y ago
The article covers: - The Signal Processing Pipeline Architecture - OTel Receivers. Prometheus-style Scrapers - OTel Processors. The Memory Limiter & Batch Processor. Multi-tenant Signal Processing - OTel Exporters. The Exporting Pip
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Looking for cofounders to build open reliable LLM infra
1 points
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roma_glushko
2y ago
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1 comments
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roma_glushko
2y ago
An article for those who want to go a little bit beyond the basic usage of OTEL SDK and understand how it works under the hood. The post quickly touches on these topics: - History and the idea of OpenTelemetry - Distributed traces & s
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roma_glushko
3y ago
Glide strives to help you to solve common problems that occur during development and running GenAI apps by moving them out of your specific applications on the level of your infrastructure. All you need to do to start leveraging that is to
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An open fast model gateway for resilient GenAI applications
(github.com)
3 points
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roma_glushko
3y ago
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1 comments
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roma_glushko
3y ago
Yeah, papermill is a go-to tool for this usecase
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Hyx – Resiliency Toolkit for Python-based microservice systems
(hyx.readthedocs.io)
2 points
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roma_glushko
4y ago
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1 comments
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roma_glushko
4y ago
Despite having many separate libraries in PyPi that try to implement some of the listed patterns, few would be considered production-ready and practically useful. Most are missing important features, configurations and limits that make them
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roma_glushko
4y ago
Inclusive guide for the non-UI engineers who would like to understand hype around hooks in 5 mins
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roma_glushko
5y ago
Ready to play? Go and check out my demo of the rock, paper, scissors game powered by Tensorflow.js.
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roma_glushko
5y ago
No reasons to be sad about it, because there is a better ways to organize your feedback flow.
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roma_glushko
5y ago
My list of solutions for coding interview problems from Leetcode.
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roma_glushko
5y ago
We work a lot with single-node systems. This is the reason why we struggle to reason about distributed systems I have written a note about nature of distributed systems and things that are commonly overlooked when we think about them
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roma_glushko
5y ago
list of distributed system projects with open source code in various programming languages which may be useful in order to better understand how to build distributed services.
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Design LRU Cache Storage
(romaglushko.com)
1 points
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roma_glushko
5y ago
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1 comments
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roma_glushko
5y ago
This article explains how to design a least-recently-used cache storage which is a popular coding interview question and an interesting problem by itself.
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About Heaps Through Visualizations
(romaglushko.com)
2 points
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roma_glushko
5y ago
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1 comments
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roma_glushko
5y ago
Heap is a tree-based data structure that is useful in maintaining queue of items according to their priorities I have recently written a blog post about heaps, their properties and applications: The article contains a lot of visualizations
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roma_glushko
5y ago
Theoretical aspects of the KNN algorithm. Where it can be applied and when it fails.
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roma_glushko
5y ago
A full story on how I build my deep learning workstation with all details on how to choose proper parts, install them and configure a workflow for working with the machine