ContentPosts from @azadcetinkaya..
Link
@devopslinks shared a link, 1 month, 1 week ago
FAUN.dev()

AWS RDS Cost Optimization Guide: Cut Database Costs in 2026

Amazon RDS costs are not fixed - they vary based on configuration and usage. Making informed configuration and governance decisions is key to optimizing costs. Graviton instances offer better price-performance for common databases, while storage costs can be reduced by decoupling performance from ca.. read more  

AWS RDS Cost Optimization Guide: Cut Database Costs in 2026
Link
@devopslinks shared a link, 1 month, 1 week ago
FAUN.dev()

Building a Database on S3

This paper from 2008 proposes a shared-disk design over Amazon S3 for cloud-native databases, separating storage from compute. Clients write redo logs to Amazon SQS instead of directly to S3 to hide latency. The paper presents a blueprint for serverless databases before the term existed... read more  

Course
@eon01 published a course, 1 month, 1 week ago
Founder, FAUN.dev

Learn Git in a Day

GitLab git Ubuntu

Everything you need, nothing you don't

Learn Git in a Day
 Activity
Story Palark Team
@shurup shared a post, 1 month, 2 weeks ago
@palark

Kubernetes best practices for DevOps engineers

Kubernetes

Have to manage Kubernetes in production but don’t feel confident about its many moving parts, complex architecture, and configurations? Here’s a selection of technical guides from experienced engineers for Kubernetes beginners looking to master this orchestration tool for running containerised apps efficiently and reliably.

Best practices for Kubernetes
Link
@pramod_kumar_0820 shared a link, 1 month, 2 weeks ago
Software Engineer, Teknospire

⚡ Why Your Spring Boot API Takes 3 Seconds to Respond (And How to Fix It)

A practical breakdown of the most common Spring Boot performance bottlenecks — and how we optimized our API from 3 seconds to 200 ms.

News FAUN.dev() Team Trending
@devopslinks shared an update, 1 month, 2 weeks ago
FAUN.dev()

Microsoft Project Silica: Your Data, Stored in a Pyrex Dish, for 10,000 Years

Microsoft's Project Silica encodes data in borosilicate glass using femtosecond lasers, offering long-term storage for up to 10,000 years. This method overcomes traditional storage limitations and is cost-effective, though write speed remains a challenge. The research phase is complete, but no product release has been announced.

Microsoft Project Silica: Your Data, Stored in a Pyrex Dish, for 10,000 Years
News FAUN.dev() Team Trending
@varbear shared an update, 1 month, 2 weeks ago
FAUN.dev()

Operating Systems as Age Gatekeepers: The Law That Could Reshape the Internet

California's Digital Age Assurance Act mandates operating systems to share users' age data with app developers via a real-time API by 2027. The law faces criticism for depending on self-reported ages, potentially affecting its efficacy.

Link
@varbear shared a link, 1 month, 2 weeks ago
FAUN.dev()

The Great Developer Divide: How AI Is Reshaping the Software Job Market Into Three Tiers

AI hiring has split dev work into three camps:Apex Tier,Hybrid Middle, and a shrinkingAutomatable Tail. Demand now favorsAI orchestration,prompt engineering, fastcode reading, and platform roles likeplatform engineer,fleet supervisor, andAI QA. System shift:Organizations must rework career ladders, .. read more  

The Great Developer Divide: How AI Is Reshaping the Software Job Market Into Three Tiers
Link
@varbear shared a link, 1 month, 2 weeks ago
FAUN.dev()

I deleted my laptop from my dev workflow. My iPhone does the job now

A developer ditches the laptop and SSHs from an iPhone into an always-onMac Mini. The phone becomes a terminal and browser. The remote runs the dev server, theClaude Code/CodexCLI, hot reload, file watching, and pushes viaTailscale. Persistent sessions (tmux) keep AI agents and services alive across.. read more  

I deleted my laptop from my dev workflow. My iPhone does the job now