InfoQ Software Architects' Newsletter

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Topics

Development

Featured in Development

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

All in development

Architecture & Design

Featured in Architecture & Design

From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix

Naveen Mareddy and Sujana Sooreddy discuss the evolution of Netflix’s media processing observability, moving from monolithic tracing to a high-cardinality analytics platform. They explain how to handle "trace explosion" using stream processing and a "request-first" tree visualization, and share how to transform raw spans into actionable business intelligence.

From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated distributed agent platform. They explain the transition to a supervisor-sub-agent model that enables parallel development and modular quality evaluation. and share a blueprint for building resilient, high-scale agentic systems.

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Beth Anderson discusses the "power distance index" and its critical role in communication. Using the Korean Air Flight 801 tragedy as a case study, she explains the dangers of hierarchy-driven silence. She shares actionable frameworks for building the four stages of psychological safety, implementing reverse mentoring, and using PRs as tools for knowledge sharing rather than gatekeeping.

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

All in culture-methods

DevOps

Featured in DevOps

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Bruno Borges discusses a paradigm shift in performance management: moving from manual tuning to automated SRE agents. He explains how to leverage the USE and jPDM methodologies alongside LLMs to reduce MTTR from hours to seconds. By utilizing MCP tools for real-time diagnostics and memory dump analysis, he shares how engineering leaders can scale systems while meeting strict objectives.

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

All in devops

Events

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QCon AI New York 2025

Go from AI demos to real engineering impact. Learn to embed LLMs, govern & scale securely.

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QCon London 2026

Learn what works in AI, architecture, data, security & FinTech.

Early Bird ends Jan 13.

QCon AI Boston

Learn how leading engineering teams run AI in production—reliably, securely, and at scale.

Early Bird ends Jan 13.

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Mykyta Protsenko

Profile page created Apr 19, 2023

Software Engineer at Netflix

Summary

Mykyta Protsenko is a senior software engineer at Netflix. He is passionate about all things scalable, from coding to deploying to monitoring. You can find Protsenko speaking at a variety of conferences - OSCON, DevNexus, Devoxx (Ukraine, Belgium, United Kingdom), QCon, and others.

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Topics

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Helpful links

Choose your language

Mykyta Protsenko

Summary

Cloudflare Year in Review: AI Bots Crawl Aggressively, Post-Quantum Encryption Hits 50%, Go Doubles

How Developers in Southeast Asia and India are Really Using AI in 2025

MinIO GitHub Repository in Maintenance Mode: What's Next for the Open Source Object Storage?

Swiggy Rolls Out Hermes V3: From Text-to-SQL to Conversational AI

From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix

The Architect’s Dilemma: Choose a Proven Path or Pave Your Own Way?

Things Software Developers Think They Don’t Need to Care about, But Can Impact Their Job

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Effective Mentorship and Remote Team Culture with Gilad Shoham

Microsoft Research Develops Novel Approaches to Enforce Privacy in AI Models

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

SIMA 2 Uses Gemini and Self-Improvement to Generalize across Unseen 3D and Photorealistic Worlds

API Platform Unkey Ditches Serverless After Performance Struggles

Kubernetes 1.35 Released with In-Place Pod Resize and AI-Optimized Scheduling

AWS Announces New Amazon EKS Capabilities to Simplify Workload Orchestration

QCon AI New York

QCon London

QCon AI Boston