"Why does our service keep crashing even after we reduce the load?"

metastable failure—your system is stuck in a vicious cycle. slow responses → timeouts → retries → more load → even slower. It can't escape on its own. #DistributedSystems (1/4)

Hi i’m Hannah, senior software engineer looking for my next role 🎯
8+ years in go. high-throughput distributed systems, microservices, kubernetes, cloud. billions of requests/hr. oauth/oidc, grpc, platform.

Please share!

#golang #hiring #distributedSystems #platformengineering

#Uber redesigned its #MySQL fleet with MySQL Group Replication:
✅ Cluster failover: minutes → seconds
✅ Leader election & failure detection inside DB
✅ Better availability & consistency across thousands of clusters.

🔗Learn more: bit.ly/4cGIzRb

#DistributedSystems #Clusters #Databases #InfoQ

The runtime that was ready for AI all along YouTube video by Code and Stuff

Distributed systems are like Minesweeper.

Reliable message delivery is all about managing failure and trade-offs.

m.youtube.com/watch?v=dKaZ...

#DistributedSystems

From Minutes to Seconds: Uber Boosts MySQL Cluster Uptime with Consensus Architecture Uber redesigned its MySQL fleet using a consensus-driven architecture based on MySQL Group Replication, reducing cluster failover time from minutes to seconds. By moving leader election and failure de...

At scale, database uptime becomes a consensus problem.

www.infoq.com/news/2026/03...

#DistributedSystems #MySQL

Multi-AZ Databases for High Availability and Low Latency | Aerospike Learn how multi-AZ databases improve availability, fault tolerance, and performance for real-time enterprise systems. Explore architecture tradeoffs, consistency models, and operational considerations.

Multi-availability-zone database architectures improve availability but introduce tradeoffs in performance, consistency, and operations.

Read the full blog: https://monkeylink.co/4a3185

#CloudArchitecture #DistributedSystems

Is your Kafka lag dashboard lying? Learn how log compaction and retention silently manipulate reported timestamps and how to ensure your monitoring reflects actual system performance.
softwaremill.com/compaction-a...

#ApacheKafka #DataEngineering #DistributedSystems #EventStreaming #Observability

Not just @oreilly.bsky.social authors but @itrevolution.com too plus plenty of superb practitioners! We'll be covering a wide range of topics including #distributedsystems, #AI, #Ops, #Management, #Leadership, #organisations, #planetarycomputing, #security, #resilience, #sustainability, #ethics...

Ceph Public Network Migration (No Downtime) Ceph Public Network Migration (Proxmox) 172.16.0.0/16 → 10.50.0.0/24 No service downtime,...

Ceph Public Network Migration (No Downtime) Ceph Public Network Migration (Proxmox) 172.16.0.0/16 → 10.50.0.0/24 No service downtime, no data loss 📌 Context This procedure documents a live Cep...

#distributedsystems #linux #networking #tutorial

Origin | Interest | Match

If your node is idle this weekend, put it to work. We need the data.

📖 Read why we do this: holo.host/blog/into-th...

#WindTunnel #DistributedSystems #EdgeComputing #Holochain

Schemaless Databases Explained for High-Performance Systems | Aerospike Learn what a schemaless database is, how it differs from relational models, and why enterprises use it for low latency, scale, and operational flexibility.

“Schemaless” doesn’t mean structureless. It means your data model can evolve without risky migrations or coordination overhead.

This blog explains:
• What schemaless actually means
• How it works
• When it’s the right choice

https://monkeylink.co/9acf51

#Databases #NoSQL #DistributedSystems

Scaling JMeter: A Guide to Distributed Performance Testing

Learn how to scale load testing with Apache JMeter, Scribe, and TimescaleDB. Simulate millions of requests, centralize logs, and analyze performance in real tim #distributedsystems

AP Systems Explained: Why Stale Data Beats Downtime

AP systems prioritize availability during network partitions, serving stale data rather than going offline—and resolve conflicts after recovery. #distributedsystems

Log Quad: Domesticate Your Logging Bill A pragmatic framework to control observability bills without losing context. Use the Log Quad to semantically analyse and tune your logs.

Genuinely love log statements, or harbour some bizarre obsession with them!?

NO? Then you may enjoy reading about the Log Quad: a semantic framework to evaluate your logging, and fine-tune its bill.

www.bahmanm.com/2026/03/log-...

#BrainWork_BrainToil #SoftwareEngineering #SRE #DistributedSystems

Step Functions Distributed Map Best Practices for Large-Scale Batch Workloads When I need to process a very large dataset in parallel on AWS without standing up a whole batch...

✍️ New blog post by Renaldi

Step Functions Distributed Map Best Practices for Large-Scale Batch Workloads

#architecture #aws #distributedsystems #serverless

Resilience. Keep Distributed Systems Alive The article discusses the gradual failures of distributed systems, which often become sluggish before crashing. It emphasizes key strategies like exponential backoff, circuit breakers, and load she…

Resilience. Keep Distributed Systems Alive
binarycoders.wordpress.com/2026/03/01/r...
#DistributedSystems #ResilienceEngineering #SystemDesign

Kubernetes Federation Taming the Multiverse: Your Deep Dive into Kubernetes Federation So, you've mastered...

Kubernetes Federation Taming the Multiverse: Your Deep Dive into Kubernetes Federation So, you've mastered Kubernetes. You're orchestrating your microservices like a maestro, your deploymen...

#cloud #devops #distributedsystems #kubernetes

Origin | Interest | Match

Designing Trading Systems Series Bought separately

Designing Trading Systems Series by Code Maverick is the featured bundle of ebooks 📚 on Leanpub!

#SoftwareArchitecture #DistributedSystems #EventDrivenArchitecture #SystemIntegration #Microservices #MessageDriven #EngineeringManagement #ProductManagement #ProjectManagement #SystemsAnalysis

Line of Defense: Three Systems, Not One Three Systems, Not One "Rate limiting" gets used as a catch-all for anything that rejects...

Line of Defense: Three Systems, Not One Three Systems, Not One "Rate limiting" gets used as a catch-all for anything that rejects or slows down requests. But there are actually three distin...

#systemdesign #distributedsystems #ratelimiter

Origin | Interest | Match

Meeting Distributed Workload Needs with EC2 Placement Groups -- AWSInsider AWS EC2 placement groups simplify the deployment of distributed workloads by automatically positioning instances according to performance, redundancy, and isolation requirements using three strategic approaches -- cluster, partition, and spread.

Amazon Web Services (AWS) EC2 placement groups use cluster, partition, and spread strategies to position instances for performance, redundancy, and isolation in distributed environments.

Read the full breakdown by Brien Posey: https://ow.ly/Wcoi50YmTnN

#AWS #EC2 #DistributedSystems

Apache Kafka 4.2.0 is here. The headliner? Queues for Kafka (KIP-932) is officially GA. But there is much more!
See below:

#ApacheKafka #Kafka42 #EventStreaming #DataEngineering #DistributedSystems

How do you trust a chaotic mobile P2P network? Enter "Nodes of Truth." #Virtual, duplicated #consensus entities spanning multiple devices. If a user drops offline, the virtual node survives, securing the network's state and reputation. 🛡️🕸️ #DistributedSystems #P2P

MongoDB and the Raft Algorithm MongoDB’s replica set architecture uses distributed consensus to ensure consistency, availability, and fault tolerance across nodes. At the core of this architecture is the Raft consensus algorithm, w...

New on Foojay: Elie Hannouch writes about how MongoDB uses the Raft consensus algorithm to maintain data consistency across replica sets.

foojay.io/today/mongod...

#MongoDB #Raft #DistributedSystems #Java

5/x by adding a voluntary computational component to distributed clients (think SETI) the federated distributed network could rival the computational capability of the centralized oligoprocessopoly (data centers)
#science #computing #distributedsystems #distributedcomputing #FediFlops

Operational Lessons from Large-Scale Valkey Deployments

📈 “Scale exposes all truths.”

That’s the reality for teams running Valkey at large scale—where tail latency, payload shape, and traffic patterns start to matter more than peak numbers.

Read more from Allen Helton and Mike Callahan:
valkey.io/blog/operati...

#Valkey #DistributedSystems #SRE

Euro-Par - 2026 EuroPar Conference 2026: leading European Conference to cover all aspect of parallel and distributed processing, ranging from theory to practice.

🎉 We are delighted to confirm two keynote speakers for Euro-Par 2026:
• Luca Benini
• Michela Taufer

📌 Submission deadlines (AoE):
- Abstract: 27 February 2026
- Paper: 6 March 2026

More info: 2026.euro-par.org

#EuroPar2026 #HPC #ParallelComputing #DistributedSystems

許明輝氏の『分散セキュリティ』は、独立したセキュリティ特性から相乗的な信頼への画期的な転換をもたらします。複雑な分散システム向けに、堅牢で統合されたセキュリティを実現します！
#Cybersecurity #TrustModels #DistributedSystems #InformaQ

#Cybersecurity #TrustModels #DistributedSystems

Legacy security fails across clouds. Embrace Zero Trust for distributed SQL. 🔒 Check the 12-week roadmap and more: https://ow.ly/V4E150Ykn9r

#ZeroTrust #DatabaseSecurity #DistributedSystems

Why Amazon Dynamo Still Shapes Modern Distributed Storage 17 Years Later

A deep dive into Amazon Dynamo’s architecture—CAP trade-offs, vector clocks, consistent hashing, and building highly available systems. #distributedsystems

A network partition is a communication break between nodes in a distributed system. Partition tolerance is necessary for any distributed deployment because network failures are unavoidable in practice.

#NetworkPartition #DistributedSystems #SystemDesign