Distributed systems create challenges in ways monoliths never do. I faced many like Partial failures, retries, timeout, managing multiple applications What’s the hardest bug you’ve faced. #DistributedSystem #Engineering

On emergence of software systems: #tips #ai #distributedsystem What is the behaviour of a system? How does a system derive its behaviour? What does it mean when we say the behaviour of a system is emergent? The behaviour of a system is a result of the behaviour of its individual components and the interaction among these compoments. The behaviour of an organisation is as a result of the behaviour of its various departments, staff in those departments and the interaction among these departments and staff. An organisation's yearly performance is emergent. Meaning the performance yearly cannot be reduced to a single department or staff but rather it's as a result of the complex interactions among its various departments and staff on a daily basis. The same is true for a distributed system. The behaviour of a distributed system is emergent as that behaviour arose from the interactions among the various components that made up the system. Performance, security, reliability etc are emergent properties of a software system, as they are as a result of how every component in the system interact. E2E testing is an example way to observe the emergent behaviour of a software system. What you see during E2E testing is a result of the interactions among the various connected parts of the system which is very different from the outcome of unit test.

Next-gen 4K Distributed System. 🎥 Seamless switching. Zero-distance limitations. High-performance AV over IP for professional integration. #AVoverIP #DistributedSystem #4KMatrix #ProAV

Retries make distributed systems resilient only when operations are idempotent. If repeating the same request produces the same result, network retries won’t create duplicate records or inconsistent state during transient failures. #DistributedSystem #APIDesign #SystemReliability

What's correctness of a system? By what properties can we guarantee correctness? #distributedsystem #systemdesign #java

Your #AIAgent Is Already a #DistributedSystem — You Just Didn’t Design It That Way by Zenefa Rahaman, PhD medium.com/data-science-c…

纯 Go实现的轻量级的分布式消息队列 miKago 🚀。 没有 JVM，抛弃 ZooKeeper，完全依赖内置的 Raft 算法手搓共识集群； 支持原汁原味的 Kafka 客户端二进制协议、Segment 磁盘稀疏索引，并打通底层 sendfile 实现了真正的 Zero-Copy 零拷贝下发！#Golang #Kafka #DistributedSystem⚡️ 代码如下 github.com/ldehai/miKago

Real-time voice AI is a systems engineering challenge. Diving into #Pipecat has highlighted how much work goes into the orchestration of a live conversation. You’re essentially building a real-time #distributedSystem where every millisecond counts. #VoiceAI #SoftwareEngineering

Replaced etcd with embedded Raft in Danube Messaging using openraft + redb. No external metadata service, simpler ops, faster failure detection. danrusei.github.io/posts/migrate_… #OpenSource #DistributedSystem #PubSub #Streaming

The output buffer of one agent becomes the input of another. Authority moves horizontally through the network. No user prompt box involved. This is agent-to-agent injection operating beneath conventional monitoring. …pendent-research-systems-modeling.com/moltbook-incid… #SystemArchitecture #DistributedSystem

This blog cover Caching Strategies in Distributed System as a part of my System Design Cohort. Link: cache-strategies.hashnode.dev #systemdesign #caching #distributedsystem @piyushgarg_dev @Hiteshdotcom @nirudhuuu @ChaiCodeHQ

Bayou (1995) embraced this instead of fighting it allowing updates on disconnected replicas, then reconciling later using version histories, dependency checks, and application-defined conflict resolution. #DistributedSystem #Technology

What are the 3 fundamental ideas every dev should know if they're unfortunate enough to work on a #DistributedSystem? @samnewman breaks down the essentials: 1️⃣ Timeouts – giving up 2️⃣ Retries – trying again 3️⃣ Idempotency – making it all a bit safe 🎥 bit.ly/4lGml2m

If your distributed system relies on wall-clock time, it’s already wrong. Clocks drift across machines, so “last write wins” becomes luck. Systems like DynamoDB use logical/vector clocks to track causality — who caused what — not timestamps. #DistributedSystem #SoftwareArchitect

2PC taught us a core lesson of distributed systems: safety without liveness doesn’t scale. #distributedsystem #database

If #Loki feels heavy for a small cluster, keep it boring. Use lightweight log shippers like #FluentBit or Vector to push logs straight to a managed backend or simple storage. Fewer components, less tuning, faster signal. You don’t need #distributedsystem to read yesterday’s logs.

Even after all the DB tuning and query optimizations… app is still slow? It’s time to consider caching I wrote a practical guide on the must-know caching secrets. If you work on read-heavy services, this is for you. #Cache #DistributedSystem @venkateshwagh777/caching-isnt-magic-how-to-make-systems-faster-without-breaking-them-81be6a652d14" target="_blank" rel="nofollow noopener">medium.com/@venkateshwagh…

Redundancy is not the first step to building a resilient #distributedsystem— it is assuming failure as a default state. Once you start designing with the expectation that everything will break eventually, architecture stops being hopeful & starts being durable. #Microservices

#Microservices × #MicroFrontends: Uncovered with @samnewman ldrawing parallelisms between the 2 layers of a #distributedsystem. youtu.be/RaaHChVzPbM?si…

Teams deploying containerized apps at scale need Azure Kubernetes Services. AKS manages cluster management, so teams can focus on deploying services. #AzureKubernetesServices #microservices #distributedSystem #CICD #AKS #Azure