Florin Lungu’s Post

Ever wondered how far you can push n8n before it begins to falter? Charley Mann's article dives into scalability benchmarks for n8n, revealing impressive results when testing different deployments. What stood out to me was the importance of knowing your limits when running mission-critical workflows. How do you assess the scalability of your own tools? Let's discuss!

This article delves into pushing n8n to its limits, revealing critical insights on its scalability under pressure. I found it interesting that understanding the capabilities of your tools can make a significant difference when running mission-critical workflows. What are some benchmarks you've tested in your tools that truly made a difference for your organization?

Curious about the limits of n8n? This article dives into an impressive scalability benchmark, revealing how n8n handles mission-critical workflows under pressure. I found it interesting that understanding these limits can be crucial for optimizing workflows and ensuring reliability. What strategies do you use to test the scalability of your tools and platforms?

Curious about how far you can push n8n before it falters? This article dives into extensive scalability benchmarks that reveal n8n's limits when running critical workflows. I found it interesting that the results showcase impressive resilience, providing valuable insights for teams relying on n8n for automation. How do you assess the scalability of the tools you use in your workflows?

Curious about how robust n8n can be under pressure? This article dives into a comprehensive scalability benchmark, showcasing impressive results under load. I found it interesting that understanding these limits is crucial for anyone running mission-critical workflows. How do you approach scalability in your own projects or tools?

Do you know that the best software companies crash their software services on purpose? Today I read about Reliability in software CH1.1 from DDIA book by Martin Kleppmann. I've learnt about Message Queues and how to they contribute in making systems more reliable. the author mentioned a smart way to ensure fault tolerance in systems which is deliberately crashing your systems to monitor it's behaviors and work on how their systems recover. if you didn't hear about the "The Netflix Simian Army" you should read more about it: https://lnkd.in/eV2FQ7Ts #systemdesign #reliability #tech

Designing Production-Ready RAG Pipelines: Tackling Latency, Hallucinations, and Cost at Scale: ... data quality standards. The quality of data affects user experience through hallucinations which occur when poor data quality exists. System ...

The recent article on the n8n Scalability Benchmark explores how much pressure n8n can handle before it falters. I found it interesting that the tests revealed impressive thresholds, which is crucial for anyone relying on n8n for mission-critical operations. This makes me wonder: how do we assess and ensure the scalability of other automation tools in our workflows?

📖 Your Weekend Read: Cache-aside, read-through, write-through, client-side, and distributed caching strategies. When adding caching to your application, how do you choose a strategy? Turso CTO Pekka Enberg looks at the different trade-offs on latency and complexity in this excerpt from his new book, Latency. https://lnkd.in/ehK6xqsb #ScyllaDB

😅 When Kubernetes decides to act up... We’ve all been there — pods crashing, deployments hanging, DNS pretending it doesn’t exist. Whenever that happens, these are my go-to steps to figure out what’s going wrong in the cluster. Over time, I’ve learned it’s not about remembering every command — it’s about following the right flow. Here’s how I usually go about it 👇 1️⃣ Control Plane: Check cluster and node health first. 2️⃣ Pods & Deployments: Look for CrashLoopBackOff, pending pods, or image pull errors. 3️⃣ Networking & DNS: Test pod connectivity, DNS resolution, and service links. 4️⃣ Cluster Resources: Keep an eye on CPU, memory, and disk — resource limits often cause weird behavior. 5️⃣ RBAC & Secrets: Double-check permissions, ConfigMaps, and secret mounts. 6️⃣ Auth & Events: Go through recent events and authentication errors. 7️⃣ Ingress & External: Verify ingress, service ports, and external exposure. 💡 Pro Tip: Start broad → go deep. Always begin with cluster health and gradually zoom into pods, networking, and configurations. It saves time and helps avoid chasing ghosts. --- What’s your first move when your K8s cluster starts misbehaving? 👇