#distributedsystems resultados da pesquisa
#SystemDesign — Consistent Hashing ⚙️ Days 39–42: -Studied Consistent Hashing -Understood how it helps in load distribution -Learnt why it’s used in sharding & scalable distributed systems @piyushgarg_dev #DistributedSystems #100DaysOfCode #LearnInPublic #Tech #CodingJourney
Effective Error Handling & #Observability keep #DistributedSystems running smoothly. Knowing what failed, how it failed, and the flow of the failure enables “engineers on duty” to respond quickly. 🎧 Hear Jenish Shah’s approach to handling failures 👉 bit.ly/47dq5EO
Built a distributed computing research prototype. Instant code deploys, simultaneous horizontal + vertical scaling, multi-arch. Zero containers, zero orchestration. Pure Python functions. github.com/askrobots/dbba… #DistributedSystems #CloudComputing #OpenSource #Python…
📄 AstroDS -- A Distributed Storage for Astrophysics of Cosmic Rays. Current Status by Alexander Kryukov et al. #HPC #HighPerformanceComputing #DistributedSystems arxiv.org/abs/2010.04938…
Cloud systems are changing fast. Here’s a breakdown of the technical shifts shaping modern infrastructure in 2025. medium.com/@janieceanthon… #CloudTech #DistributedSystems #Kubernetes #Serverless #TechInsights
"Partition gives you scalability and scalability should give you performance". 🎥 Excerpt from the last episode of Sysdsgn Conversations 🔗 Full episode: youtu.be/6zNLCcUVz2w || open.spotify.com/episode/3IAxF1… #DistributedSystems #SysDsgnConversations #SystemDesign
Consensus algorithms: Paxos vs Raft vs Zab. Each has trade-offs in understandability, performance, and implementation complexity. Which consensus algorithm have you found most practical for your distributed systems? #DistributedSystems #Consensus #Raft #Paxos
Debugging distributed system failures is tricky. Deterministic simulation + Jepsen makes it tractable. With TickLoom, build your own algorithms, inject partitions/loss/crashes, and prove properties from histories. github.com/unmeshjoshi/ti… #DistributedSystems #Jepsen #Java
When Otto shifted from retailer → marketplace, their monolith couldn’t keep up. Event-driven + event-sourced memory changed everything. Now every update has context and every decision has traceability. axoniq.io/use-cases/rein… #eventsourcing #distributedSystems #agenticai
Maksim Belonogov — Technological Background. Maksim Belonogov is recognized as one of the key engineers behind the development of large-scale distributed mobility systems. techbullion.com/maksim-belonog… #MaksimBelonogov #MobilityEngineering #DistributedSystems #TechInnovation…
Wrote a comprehensive guide on heartbeat mechanisms covering: • Push/Pull/Gossip patterns • Kubernetes health probes • Cassandra Phi Accrual • Split brain prevention Real examples from production systems. No BS. singhajit.com/distributed-sy… #DistributedSystems…
5 Advanced #Kubernetes Operators Every #DevOps Engineer Should Know About Managing complex, #distributedsystems with #K8s can be challenging. That’s where K8s Operators come in, automating & streamlining cluster management. itnext.io/5-advanced-kub…
Break the chains. Trinity Protocol launches the world’s first true multi-chain consensus enabling atomic cross-chain transactions without bridges or wrappers Dive into the technical deep dive: dev.to/chronosvault/t… #Web3 #Blockchain #DistributedSystems #Security
Explaining #DistributedSystems Like I'm 5 When you really need to scale your application, adopting a distributed architecture can help you support high traffic levels. The problem is: How do you do that? When can we call a system "distributed"? youtu.be/CESKgdNiKJw?si…
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Explaining Distributed Systems Like I'm 5
Giving a talk at @XpandConf in Amman - my hometown 🇯🇴 next month. Peeling back the layers of distributed databases and the invisible choreography behind the API. I hope to see you there. #Xpand2025 #XpandConf #DistributedSystems
See inside etcd's bootstrap brain to learn what governs startup decisions—ideal for engineers who need clarity on config checks, disk classification, and readiness signaling. Read More: zalt.me/blog/2025/09/i… #DistributedSystems #ControlPlanes #DevOps
RabbitMQ, Kafka, SQS—different flavors, same rhythm. Queues aren’t just movers. They're the conductors keeping distributed systems in sync. Which queue is your go-to? Read more: iam.slys.dev/p/why-we-need-… #DistributedSystems #Backend #MessageQueues
💡 Apache Ignite 3 is here — reimagined for speed, scalability, and developer productivity. See how this next-generation release is redefining in-memory computing: 🔗 hubs.la/Q03SY4lW0 #ApacheIgnite #InMemoryComputing #DistributedSystems
📄 AstroDS -- A Distributed Storage for Astrophysics of Cosmic Rays. Current Status by Alexander Kryukov et al. #HPC #HighPerformanceComputing #DistributedSystems arxiv.org/abs/2010.04938…
Cloud systems are changing fast. Here’s a breakdown of the technical shifts shaping modern infrastructure in 2025. medium.com/@janieceanthon… #CloudTech #DistributedSystems #Kubernetes #Serverless #TechInsights
Grokking System Design: Foundation + Advanced Tracks by Sameer Paradkar is the featured bundle of ebooks 📚 on the Leanpub homepage! #SoftwareArchitecture #DistributedSystems #EventDrivenArchitecture #CloudComputing #Databases Grokking System Design Mastery: Foundation +…
Effective Error Handling & #Observability keep #DistributedSystems running smoothly. Knowing what failed, how it failed, and the flow of the failure enables “engineers on duty” to respond quickly. 🎧 Hear Jenish Shah’s approach to handling failures 👉 bit.ly/47dq5EO
Building a Scalable Multi-Language AI Document Analyzer with Node.js, Python, RabbitMQ, and Celery. - hackernoon.com/supercharging-… #distributedsystems #rabbitmq
The first version of our whitepaper is now live: github.com/fidonext/fidon… @elonmusk @VitalikButerin @Filecoin @ethereum @EF_ESP @gitcoingrants @gitcoin #FidoNext #DistributedSystems #Scaling #P2P #Decentralization
Implementing the 𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗶𝗹𝗲 𝗦𝘆𝘀𝘁𝗲𝗺 (GFS) control plane in 𝗚𝗼𝗹𝗮𝗻𝗴. #DistributedSystems #Golang #GFS #Infrastructure #SystemDesign
Target: 10⁹ nodes without a control plane. The plan is fractal: sharded DHTs (Realm → Region → Cell), regional PubSubs, partial views (HyParView/Cyclon), super-relays as edges. Same protocol, different scales. #FidoNext #DistributedSystems #Scaling #P2P #Decentralization
Interesting point. But how do you *really* manage complexity and consistency across those many systems? #DistributedSystems #ScalabilityChallenges
To survive the World Cup Final, you don't need more servers. You need to change the physics of the data. Grab the full architecture breakdown in the PDF attached below. 👇 tinyurl.com/bsp3wj2j PDF link #SystemDesign #DistributedSystems #Engineering #Kafka #HighScale
At 25M TPS, the CPU spends 100% of its time just switching context to handle network interrupts. It’s called an "Interrupt Storm." 2/3 #SystemDesign #DistributedSystems #Engineering #Kafka #HighScale
25 Million Writes Per Second. 🤯 If you try to pipe this directly into Kafka, your servers will crash. Not because you ran out of Bandwidth. But because you ran out of Physics. 1/3 #SystemDesign #DistributedSystems #Engineering #Kafka #HighScale
Interesting perspective on vertical scaling vs. state machines for fault tolerance in major exchanges. How do you see the future of scaling solutions evolving in the next 5 years? #scalability #distributedSystems #blockchain
In concurrent and distributed systems, autonomy is an illusion medium.com/@bervice/threa… Website : blog.bervice.com #Bervice #Concurrency #DistributedSystems #Multithreading #SoftwareEngineering #CloudComputing #ParallelProgramming #SystemsDesign #RaceConditions
Finally started this computer science book. 2024 is a year of mass consumption for me! #SoftwareEngineering #distributedsystems
Why could @hedera go to Mars? 🪐 $HBAR #Web3 #DistributedSystems Hedera’s Asynchronous Byzantine Fault Tolerant (ABFT) consensus offers several key benefits that make it particularly suitable for high-performance, secure, and scalable distributed systems:
Time defined: When all reads return the same result, it's the past. When reads are unpredictable, it's the future. #SystemDesign #DistributedSystems
Maybe one day I'll write a book but before then, you can enjoy from notes. Sharding, Clustering, Indexing, Partitioning and Segmentation are very common strategies for scaling database workloads. #distributedsystems
How to Generate Unique IDs in Distributed Systems: 6 Key Strategies | by Phuong Le (@func25) bit.ly/45Fk3ZA #distributedsystems
#SystemDesign — Consistent Hashing ⚙️ Days 39–42: -Studied Consistent Hashing -Understood how it helps in load distribution -Learnt why it’s used in sharding & scalable distributed systems @piyushgarg_dev #DistributedSystems #100DaysOfCode #LearnInPublic #Tech #CodingJourney
Access breakthrough #research, engage in dynamic discussions, and embrace the future of #DistributedSystems! Occurring July 18th, #IEEE #ICDCS2023 aims to bring researchers and developers together to exchange ideas and learn. Register today @ bit.ly/3pM0AXO
"🌟 Unveiling the efficiency of Data Availability Sampling in #DistributedSystems & #MachineLearning! This technique is a cornerstone in modern #Blockchain technology, enhancing scalability and data integrity. 🔗 By sampling only portions of data, it allows for quick…
Day 5 Progress on SellEazy: Building a distributed multi-vendor system has been wild! Zookeeper health checks flopped, blocking Kafka’s leader election. Kafka wouldn’t start, leaving me in chaos. Still fighting! 🥵 #DistributedSystems #Kafka #buildinpublic
New release!! Understanding Distributed Systems, 2/e by Roberto Vitillo (Author) @shroffpub (Publisher) Buy from computer bookshop using link: tinyurl.com/3xac6ebf #distributedsystems #systemdesign #shroffpublishers
Consensus algorithms: Paxos vs Raft vs Zab. Each has trade-offs in understandability, performance, and implementation complexity. Which consensus algorithm have you found most practical for your distributed systems? #DistributedSystems #Consensus #Raft #Paxos
📣 Deal of the Day 📣 Sep 20 Now in PRINT! HALF OFF today! Think Distributed Systems & selected titles: hubs.la/Q03KcRxC0 Reason confidently about distributed systems. #concurrentsystems #distributedsystems #scalability #reliability #partitioning #replication In this…
🚀 Optimizing Raft reads: Using NoopIndex instead of CommitIndex + relaxed request ordering = lower latency while preserving linearizability! #Raft #DistributedSystems Details on this ReadIndex optimization: github.com/drmingdrmer/co…
182 - mailchi.mp/deararchitects… 1. Culture & methods trends report by @InfoQ 2. #serverless illusion by @ghohpe 3. #distributedsystems resources 4. @McDonalds #migration 5. #GenAI and #developers Subscribe to our new #microfrontends publication! buildingmicrofrontends.com
🚀 New patent grant alert: #US18759330B1 by #AmazonTechnologies! Explore scalable graph-based vector storage & search in distributed systems. 📊 Efficiently index & store vectors using proximity-based graph data structures. #DistributedSystems #DataStorage #AI $AMZN
Thrilled to share some exciting news! 🎉 I've successfully completed the "Black Belt in Distributed Monolith Serverless Agent" Certification! 🥋 Feeling incredibly proud of this achievement and ready to apply this advanced knowledge. #Serverless #DistributedSystems #Certification…
brb, I'll create The Institute for Type Safe Memetic Research in linkedin so we can all add it to our cvs
Giving a talk at @XpandConf in Amman - my hometown 🇯🇴 next month. Peeling back the layers of distributed databases and the invisible choreography behind the API. I hope to see you there. #Xpand2025 #XpandConf #DistributedSystems
See inside etcd's bootstrap brain to learn what governs startup decisions—ideal for engineers who need clarity on config checks, disk classification, and readiness signaling. Read More: zalt.me/blog/2025/09/i… #DistributedSystems #ControlPlanes #DevOps
One of the most fascinating aspects of @resonatehqio? The message-passing protocol Everything in Distributed Async Await distills to a single Send primitive One abstract primitive powers the entire programming model—everything else is built on top #DistributedSystems
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