When Spotify’s Share-to-Instagram Flow Turns Into a Free Billboard
Earlier this week, I tried sharing a song on Instagram Stories “Füsun Önal – Ah Nerede“, the 2004 release. Spotify → Share → Instagram. Something we all do a thousand times. But instead of the album cover, Instagram opened with a completely unrelated person’s Instagram profile screenshot. Not mine. Not Spotify’s. Someone else’s essentially a…
AWS Monthly (Nov ’25) The Stateful Serverless Revolution
November and re:Invent 2025 brought us the “holy grail” of serverless: AWS Lambda Durable Functions. This feature introduces “Stateful Serverless” directly into the Lambda runtime. By using the new withDurableExecution wrapper, you can now write long-running workflows that persist for up to one year. When your function hits a context.wait() call, the compute is suspended…
AWS Monthly (Oct ’25): Industrializing AI Training
October was the “Quiet before the re:Invent storm,” but it brought the unveiling of Project Rainier. Project Rainier is a massive AI compute cluster featuring over 500,000 Trainium2 chips. Technically, this is one of the largest dedicated AI training environments on the planet. For us, it means the “Industrialization of AI.” The price-to-performance ratio of…
When the Cloud Sneezes, the World Catches a Cold – Lessons from the us-east-1 Meltdown
Today, once again, half the internet went dark not because of a global power failure or a cyber-attack, but because a single AWS region, us-east-1 (N. Virginia), had a bad day. Perplexity went down. Amazon itself stumbled. Substack, Signal, Fortnite, and countless others vanished into the ether. Even services like Statuspage.io, used by companies to…
AWS Monthly (Sep ’25): Vega OS & eBPF Observability
In a surprise move, AWS released Vega OS in September. Vega is a specialized, Linux-based OS optimized for the edge and high-performance UI rendering (with a React Native core). It’s ultra-lightweight and designed to boot in milliseconds, perfect for the next generation of smart devices. On the observability side, we got CloudWatch Application Map 2.0,…
AWS Monthly (Aug ’25): Big Data, Zero Effort
August was all about “Data Gravity.” Amazon Aurora storage limits jumped to 256 TiB, which effectively ends the “sharding” conversation for 99.9% of companies. However, the real star was the expansion of Zero-ETL Integrations. AWS enabled seamless, near-real-time replication from Aurora to OpenSearch and RDS to Redshift. By leveraging the database’s internal transaction logs, AWS…
AWS Monthly (July ’25): Kubernetes at the Edge of Sanity
July was a landmark month for the EKS (Elastic Kubernetes Service) crowd. AWS announced that EKS now supports 100,000-node clusters. While 100k nodes might be overkill for most of us, the technical optimizations required to make the Kubernetes control plane stable at that scale benefit everyone. The scheduler is faster, and ETCD performance is more…
AWS Monthly (June ’25): S3 Becomes Your Vector DB
June saw a tectonic shift in the AI data stack with the preview of Amazon S3 Vector Search. For the last two years, we have been told we need a specialized vector database (Pinecone, Milvus, etc.) for Retrieval-Augmented Generation (RAG). AWS simplified the equation: “Just store your vectors in S3.” Technically, this adds a native…
AWS Monthly (May ’25): The Death of the War Room
May brought CloudWatch Investigations, which have fundamentally changed someone’s on-call rotation. Instead of manual log correlation, this service uses AI to perform Automated Root Cause Analysis (RCA). When an alarm triggers, Investigations automatically traces the error. It correlates metric spikes with concurrent events—like a specific Git commit, a Terraform apply, or an RDS parameter change.…