Aiven’s Post

Confluent Stretched Cluster 2.5 introduces powerful mechanisms — such as observers and Automatic Observer Promotion (AOP) — to enhance cross-datacenter resilience while reducing operational complexity. Michał Matłoka delves into how replication factor and min.insync.replicas impact the availability and fault tolerance of such an architecture. [Link in a comment] #Confluent #ApacheKafka #Streaming #DataEngineering #HighAvailability #Resilience

Dev cluster this morning: 966K messages processed, 4370 msg/s through our ground infrastructure. Edge computing in the real world isn't about bandwidth, though – it's about working without it. Sometimes the best architecture decision is choosing boring reliability over exciting complexity.  No 3AM calls about Kafka partition rebalancing storms. When your nearest technician may be a two-day drive away, every line of code that doesn't exist is one that can't fail. #DistributedSystems #EdgeComputing #NATS #Edge_AI

Ever wondered how large-scale systems handle millions of events per second like Netflix tracking every “Play” click or Uber updating ride locations in real time? The answer is often Apache Kafka - the backbone of event-driven architectures. Kafka helps systems communicate through streams of events, making them more scalable, decoupled, and resilient. Once you start thinking in events instead of requests, you design systems that are faster, smarter, and easier to evolve.

As Jeevan Dongre (JD) said in his new blog “𝙄𝙩 𝙬𝙖𝙨 𝙖 𝙘𝙡𝙖𝙨𝙨𝙞𝙘 𝙙𝙚𝙢𝙤𝙣𝙨𝙩𝙧𝙖𝙩𝙞𝙤𝙣 𝙤𝙛 𝙝𝙤𝙬 𝙨𝙚𝙧𝙫𝙚𝙧𝙡𝙚𝙨𝙨 𝙖𝙧𝙘𝙝𝙞𝙩𝙚𝙘𝙩𝙪𝙧𝙚 𝙖𝙣𝙙 𝙚𝙙𝙜𝙚-𝙩𝙤-𝙘𝙡𝙤𝙪𝙙 𝙩𝙚𝙡𝙚𝙢𝙚𝙩𝙧𝙮 𝙘𝙖𝙣 𝙧𝙚𝙨𝙝𝙖𝙥𝙚 𝙩𝙝𝙚 𝙛𝙪𝙩𝙪𝙧𝙚 𝙤𝙛 𝙢𝙚𝙙𝙞𝙖 𝙞𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚 𝙖𝙩 𝙢𝙖𝙨𝙨𝙞𝙫𝙚 𝙨𝙘𝙖𝙡𝙚.” In his blog, he unpacks the orchestration principles and architectural decisions that lead to the most seamless live stream in history. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗦𝘂𝗽𝗲𝗿 𝗕𝗼��𝗹 𝗟𝗜𝗫 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁! 👇 https://antt.me/C_Fj5dM_ #MediaTech #Serverless #SuperBowl #EdgeComputing #CloudNative #RealTimeData #MediaIntelligence #AntStack

It’s established now that moving workloads off hyperscalers will reduce TCO, but you can offer more when dropping that onto Ampere CPU-based systems through better efficiency and high utilisation. Pete Logan from Ampere describes how, using the joint architecture with Apache CloudStack & ShapeBlue, in his #CloudStackCollab session. Secure your ticket! 👉 https://lnkd.in/dJvtHCHF

Confluent Stretched Cluster 2.5 introduces powerful mechanisms — such as observers and Automatic Observer Promotion (AOP) — to enhance cross-datacenter resilience while reducing operational complexity. In my latest article, I dive into how replication factor and min.insync.replicas impact the availability and fault tolerance of such an architecture. 👉 Read it here: https://lnkd.in/dXqMzBsc #Confluent #ApacheKafka #Streaming #DataEngineering #HighAvailability #Resilience

Ensuring messages are processed exactly once sounds simple, but it’s one of the toughest challenges in distributed systems. Lars Kölpin-Freese explains how idempotency helps achieve reliable “exactly-once” semantics in microservices and message-driven architectures. 🔗 https://lnkd.in/dJjvRy-G #Serverless #DistributedSystems #CloudComputing #Microservices

Did you know? Nearly 80% of pipeline delays in Kafka-based systems can be avoided by proactively monitoring consumer lag. Consumer lag isn’t just a metric; it’s your early warning signal that your data pipeline might be falling behind. By tracking lag, teams can: 🔸Detect slow consumers before they cause downstream delays 🔸Maintain steady throughput even under load 🔸Balance partitions effectively to avoid bottlenecks 🔸Improve SLA compliance and reliability In large-scale streaming environments, monitoring consumer lag is one of the most powerful (yet underrated) ways to keep your Kafka pipelines healthy and responsive. At KLogic, we help teams visualize, monitor, and act on Kafka metrics, before issues hit production. learn more:https://klogic.io/ #Kafka #DataStreaming #Monitoring #Observability #DataEngineering #KLogic #KafkaMonitoring #RealTimeData #EventStreaming

SynxDB isn’t just compatible with Kafka — it’s built around it. Access streaming data directly via SQL and skip complex configurations. Real-time analytics made effortless. #SynxDB #KafkaIntegration #DataStreaming #RealTimeAnalytics #CloudTech

⚡ Just Published: Designing Event-Centric Backends with Transactional Outbox and Debezium Reliable event propagation is the backbone of modern distributed systems — yet many architectures still face data inconsistencies between databases and event streams. In this deep dive, I unpack: How the Transactional Outbox pattern solves dual-write issues How Debezium enables real-time CDC streaming Practical configuration and code examples 🧠 Whether you’re designing a microservice backend or modernizing a monolith, this pattern is foundational. 🔗 Read it here → https://lnkd.in/dKYA5NRu #SystemDesign #EventDrivenArchitecture #Kafka #Debezium #Appropri8