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This Week I Learned - Week 25 2026

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This Week I Learned -  * Vertex AI has been rebranded and evolved. Google officially replaced and expanded it under the name Gemini Enterprise Agent Platform.  This change marks a major structural shift for Google Cloud, moving away from a traditional MLOps platform (focused on training and deploying standalone models) toward an "Agentic AI" ecosystem.   * Turkey based HubX Studios used Gemma 4 to build BetterSpeak, an AI English tutoring platform that uses the Gemma 4 E2B model as the reasoning engine for its on-device pipeline — enabling private, low-latency tutoring without the need for an internet connection. HubX deployed the 4-bit quantized version of the model to handle tasks like grammar explanations and progress monitoring across languages. By using Gemma 4’s native audio input capabilities, HubX’s app is able to support direct speech-to-speech learning , while reducing costs and ensuring privacy. * Midjourney, the AI lab best known for image generation...

The Fall of Big Data

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The term "Big Data" peaked as a buzzword around 2012-2015 and has since faded into background terminology. It followed the classic Gartner hype cycle: explosive marketing, overpromises, disillusionment, and normalization. It's not "dead" in substance. Data volumes keep exploding, processing tools improved, and organizations still handle massive datasets daily. Market projections show the big data tech sector growing robustly into the 2030s. Claims of total irrelevance ignore that petabyte-scale work is routine now. But the phrase lost pop-culture and consultant cachet. That's the real shift. Why the term declined: Hype exhaustion and failed prophecies. Early 2010s rhetoric promised a data cataclysm requiring exotic tools (Hadoop everywhere) for revolutionary insights. The apocalypse didn't arrive at predicted scale for most orgs; hardware/cloud scaled predictably, and "whatever doesn't fit on one machine" kept shrinking as single machines g...

SRE Wisdom From the Trenches

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Key takeaways from Ryan Kitchens talk "How Did Things Go Right? Learning More from Incidents" based on his experience at Netflix: Failure is ever-present in modern software systems Success isn’t necessarily the absence of failure, and having 99.999% uptime is practically meaningless if the users are unable to use the system as they intend.  Safety, great performance, and sources of resilience do not come from the absence of failure but rather the presence of adaptive capacity . Moving from "Why did things go wrong?" ask "How did things go right?" is a challenging but valuable exercise. Find out - What's going on when it seems like nothing is happening? When failure does occur, what's going to keep it from being worse? How do teams adapt successfully when preventative techniques fail? How should we prioritize the effort to develop systems that help us safely manage the consequences of failure? Recovery is better than prevention. An incident occurs w...