Cloud Infrastructure Evolution and Enterprise Java Modernization
Published on 01.08.2025
Cloudflare Chooses PostgreSQL Extension over Specialized OLAP for 100K Row/Second Analytics
TLDR: Cloudflare replaced ClickHouse with TimescaleDB for their Digital Experience Monitoring platform, achieving better performance through PostgreSQL extensions while maintaining architectural simplicity and handling 100,000 rows per second.
Cloudflare Chooses PostgreSQL Extension over Specialized OLAP for 100K Row/Second Analytics
Amazon SQS Fair Queues: a New Approach to Multi-Tenant Resiliency
TLDR: AWS introduced fair queues for SQS to solve the noisy neighbor problem in multi-tenant systems, automatically prioritizing messages from quieter tenants when one tenant floods the queue with high-volume traffic.
Amazon SQS Fair Queues: a New Approach to Multi-Tenant Resiliency
Serverless Development with Console to IDE and Remote Debugging for AWS Lambda
TLDR: AWS introduced console-to-IDE integration and remote debugging for Lambda functions, allowing developers to set breakpoints in VS Code and debug functions running in the cloud with full access to VPC resources and IAM roles.
Serverless Development with Console to IDE and Remote Debugging for AWS Lambda
A First-Timer's Guide to Curating a Technical Conference Track
TLDR: A first-time conference track host shares lessons learned about building diverse speaker lineups, starting early with research and outreach, and maintaining clear communication throughout the curation process.
A First-Timer's Guide to Curating a Technical Conference Track
Jakarta EE 11 Overview: Virtual Threads, Records, and the Future of Persistence
TLDR: Jakarta EE 11 introduces modern Java features including virtual threads support, Java records compatibility, and a new Jakarta Data specification, while requiring Java 17 minimum with Java 21 support.
Jakarta EE 11 Overview: Virtual Threads, Records, and the Future of Persistence
From Hadoop to Kubernetes: Pinterest's Scalable Spark Architecture on AWS EKS
TLDR: Pinterest migrated from Hadoop to Moka, a Kubernetes-native Spark platform on AWS EKS, achieving better cost efficiency, container-based isolation, and support for ARM instances while simplifying deployment and improving scheduling.
From Hadoop to Kubernetes: Pinterest's Scalable Spark Architecture on AWS EKS
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