Discord Engineers Add Distributed Tracing to Elixir's Actor Model Without Performance Penalty Discord engineering detailed how they added distributed tracing to Elixir's actor model. Their custom Transport library wraps messages with trace context and uses dynamic sampling to handle million-us...

Discord shared how they added distributed tracing to their Elixir infrastructure at scale. The challenge: Elixir's actor model lacks a built-in metadata layer for trace context, such as HTTP headers. #elixir #distributedsystems #observability #opentelemetry #discord www.infoq.com/news/2026/03...

AGI Won't Live in a Datacenter While corporations race to build $500 billion datacenters, we've been quietly building something...

AGI Won't Live in a Datacenter While corporations race to build $500 billion datacenters, we've been quietly building something different: the infrastructure for AI minds that own themselve...

#ai #opensource #webassembly #distributedsystems

Origin | Interest | Match

Why Predictability Defines Distributed Systems | Aerospike Scalability and availability are no longer enough. Learn why predictability is becoming the key to building stable, high-performance systems in the AI era.

Predictability is becoming the new standard for modern systems.

AI drives unpredictable workloads where one request fans out into many, making tail latency the real challenge.
At Aerospike, we focus on consistent low-latency at scale.

Read more: https://monkeylink.co/d894f8

#DistributedSystems

Kolejność wiadomości w systemach rozproszonych - devszczepaniak.pl Kolejność wiadomości obok exactly-once delivery to największy problem systemów rozproszonych. Poznaj analizę problemu i jego rozwiązania.

Rozproszone systemy mają duże zalety i są zasadne, ale przynoszą też zupełnie nowy wachlarz wyzwań, takich jak np. kolejność wiadomości. Jak sobie z tym poradzić - oto refleksje.

#DistributedSystems #architekturaOprogramowania #programowanie

devszczepaniak.pl/kolejnosc-wi...

What Functional Programmers Get Wrong About Systems - Ian Duncan Type systems verify properties of programs. Production correctness is a property of systems. The gap between these is where the interesting failures live.

I just spent 1 1/2 hours reading this absolutely amazing blog post by @iankduncan.com: www.iankduncan.com/engineering/...

And if you're likely to get nerdsniped by me mentioning #distributedsystems, #functionalprogramming, you definitely should read it too.

Systems Engineering in the Age of AI Resilient, but Not Immune

Full analysis:
helayoty.substack.com/p/systems-en...

#Kubernetes #AI #DistributedSystems #kubecon #CloudNative

Do not to force both parties to use a single protocol when different codecs are encountered, but instead build a shared interface upon which both can interact.

#distributedsystems

✨How Germany’s Feldheim went from an agricultural village to a clean energy role model.. youtu.be/NW_ThUR7Wus (DW News) #Germany #Energiewende #Distributedsystems #Renewables #Resilience

✨ ''Resilience in this context, refers to the ability of a power system to withstand and recover from disruptions, caused by extreme events or other disturbances'' youtu.be/w85G7yJHrQo #distributedsystems
#microgrids #resilience #futurescapes #climate #security #complexity

Event Sourcing Bought separately

Event Sourcing by Martin Dilger and Greg Young is the featured bundle on Leanpub!

Link: leanpub.com/b/eventsourc...

#SoftwareEngineering #EventDrivenArchitecture #SoftwareArchitecture #Software #DistributedSystems

What Nvidia's Latest Announcements Tell Us About AI Infrastructure Lock-In Jensen Huang’s keynote at GTC last week was, as ever, a presentation masterclass.

What Nvidia's Latest Announcements Tell Us About AI Infrastructure Lock-In

whyaiman.substack.com/p/what-nvidi...

#EnterpriseAI #AIArchitecture #AIINfrastructure #DistributedSystems

#Netflix built Graph Abstraction - a high-throughput system designed to manage large scale graph data in real time.

• Millisecond latency across 650TB+ of data
• Global Availability via asynchronous replication
• Design for high-scale performance

🔗 bit.ly/47UDXDF

#InfoQ #DistributedSystems

How Reality Breaks Every Beautiful System You Think You Designed The First Four Phases of Building Aletheia One In any serious architecture, there’s a...

The first 4 phases of AletheiaOne weren’t progress. They were constraint, failure, and rewriting everything that couldn’t survive reality.
If your invariants don’t hold under adversarial conditions, you don’t have a system. You have a story.
dev.to/doomhammerhe...

#DistributedSystems #FormalMethods

QCon London 2026: Introducing Tansu.io — Rethinking Kafka for Lean Operations Peter Morgan introduced Tansu at QCon London, an open-source, Kafka-compatible, stateless, leaderless broker that scales to zero, with pluggable storage (S3, SQLite, Postgres), broker-side schema vali...

Peter Morgan at QCon London: what if Kafka brokers had no state? Tansu keeps Kafka's protocol but replaces replication and leader elections with pluggable storage — S3, SQLite, or Postgres. www.infoq.com/news/2026/03...

#kafka #opensource #postgres #dataengineering #streaming #distributedsystems

QCon London 2026: Kleppmann on Mitigating Europe's Cloud Dependency with Local-First Software Europe is completely dependent on US cloud services, Martin Kleppmann told QCon London. His fix: commoditise everything. He walked through three technologies he's helped build: multi-cloud via de fact...

Martin Kleppmann's QCon London keynote:

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

#techsovereignty #localfirst #atprotocol #distributedsystems #multicloud

如果服务器悄悄“猝死”，你的系统还能活几秒？揭秘分布式集群的“续命”保底机制 - Tony Bai 本文永久链接 - https://tonybai.com/2026/03/20/heartbeats-in-distributed-systems 大家好，我是Tony Bai。 在开发单体应用时，我们很少操心“服务器死没死”的问题——进程挂了就是挂了，整个服务直接 502。但在

如果服务器悄悄“猝死”，你的系统还能活几秒？揭秘分布式集群的“续命”保底机制 本文永久链接 – tonybai.com/2026/03/20/heartbeats-in...

#技术志 #DistributedSystems #etcd #FailureDetection #Go #Golang #GossipProtocol #Gossip协议 #heartbeat #HeartbeatInterval #HighAvailability

Origin | Interest | Match

Your 'detailed' spec might be sabotaging your distributed system. Learn why natural language fails to prevent critical architectural flaws, even with LLMs generating code.

thepixelspulse.com/posts/detailed-spec-is-c...

#distributedsystems #llms #codegeneration

Load Balancers in Enterprise Scale Architectures | Aerospike A technical overview of load balancers, including algorithms, architectures, and design considerations for low-latency and large-scale production systems.

What happens when millions of requests hit your application at once?

Load balancers distribute traffic, prevent bottlenecks, and keep systems running during spikes or failures.
Learn how they work and why they matter for high-performance systems: https://monkeylink.co/eb3a38

#DistributedSystems

Distributed systems have their own challenges when you're trying to design for scalability, reliability, maintainability, and other architectural qualities.

In this webinar, we talk about patterns & practices for distributed systems: https://youtube.com/live/AsJLsAWWs8Q

#DistributedSystems

Sphere Semi seeks a Software Engineer - Distributed Systems to power AI-driven chip design. Build on Python, Terraform, Ansible, Kubernetes. Location: Menlo Park, CA. Join to shape semiconductor AI. #SoftwareEngineering #DistributedSystems #AI #TechJobs #Python aihackerjobs.com/company/sphe...

Lift the Elephant Scale PostgreSQL beyond query tuning. Real-world strategies for partitioning, high availability, and maintenance at scale.

Lift the Elephant: Scaling PostgreSQL Beyond Query Optimization by Alex Yarotsky is the featured book on Leanpub!

Link: leanpub.com/lift-the-ele...

#Databases #Postgresql #DistributedSystems #SoftwareEngineering

QCon London 2026: How To Run on Three Clouds at Once, and When Not To Form3 runs UK bank payments across three clouds simultaneously. At QCon London, their engineers explained how they built their custom Kubernetes operators, cross-cloud DNS tricks, and distributed data...

Brilliant talk from Form3 at QCon London on running payments across AWS, GCP & Azure simultaneously for UK banks.
infoq.com/news/2026/03/form3-triple-active-multicloud/
#MultiCloud #CloudArchitecture #FinTech #DistributedSystems #Kubernetes #PlatformEngineering

Optimizing `asin()` sounds simple, but hardware & compiler differences are causing chaos in distributed systems. Unpredictable latency, uneven loads – your system's efficiency is at stake!

#performanceoptimization #distributedsystems #cpuarchitecture

Senior Backend Engineer – Distributed Systems at IP Fabric will redesign a fault‑tolerant network discovery platform. Tech: Go, TypeScript, Node.js, Docker, Kubernetes, PostgreSQL. Location: Prague or Remote EU. #backend #distributedsystems #golang #docker #TechJobs aihackerjobs.com/company/ipfa...

"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

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