Chronosphere’s Post

Definition of the Week 🔍 - Distributed Tracing 🚀 Distributed tracing is a method used to monitor and track the flow of requests as they traverse through different services and components in a distributed system. It helps in identifying performance bottlenecks, pinpointing failures, and understanding the system's behavior, ensuring better observability and reliability. Head over to https://lnkd.in/gTbGqt3e to learn more. #DistributedTracing #Observability #TechDefinitions #SystemMonitoring

I have published an article on medium regarding, how the PACELC theorem extends the CAP theorem, addressing the balance between consistency, availability, and latency in distributed systems link: https://lnkd.in/g_Q673xT ♻️ Repost if you found this post interesting and helpful! 💡 Follow me for more insights and tips on Design, Data and AI. #distributedsystem #hld #software Cheers! Amitesh

Just watched an insightful video featuring the brilliant Martin Fowler, discussing the nuances of distributed systems with Dave Farley. Understanding distributed systems is crucial, even if you're not building one yourself. They introduce complexities that can make debugging a real challenge. Martin also touched on a critical aspect: the trade-offs between safety and liveness in distributed systems. - Safety: Ensuring certain states are never reached. - Liveness: Guaranteeing the system eventually makes progress. In distributed systems, striking a balance between these two is often necessary. For instance, a system might eventually reach consistency but may not be consistent at all times. https://lnkd.in/eeY25rAp

Here's a technique we've been experimenting with to load balance in our distributed systems. Choose two nodes randomly, then pick the one with the least load. For cases when it's too expensive to maintain the state of all your workers centrally, best-of-two (left) gives you surprisingly good results with virtually no hot nodes. The Power of Two Random Choices: https://lnkd.in/gpW4SB8K

With Honeycomb's distributed tracing, you can automatically compare every attribute on millions of requests to see which traces are tied to bad user experiences, and consolidate your logs and metrics workflows into one tool. Learn more: https://go.hny.co/4dz39jE

This is from last month: the average programmer is still not very good at memory management, and you're better off using memory-safe tools as a default. What's ironic is that using a memory-unsafe language for performance will ultimately lead to slower performance, given all the memory leaks.

#learning #BackendDevelopment Exponential averaging algorithm for predicting burst time in #OS, Rule: Sn+1=a(Tn)+(1−a)∗Sn - Sn+1 = expected time for the process n+1. - Tn = Actual burst time of n. - The value a is between (0<= a <= 1) #schedulingalgorithm

Are you struggling with performance optimization in your distributed systems? Join Chronosphere for a product demo on April 18th at 10:00 AM PST. Learn how dynamic sampling and trace insights can transform your observability approach. Register now: https://okt.to/guRLKG

Are you struggling with performance optimization in your distributed systems? Join Chronosphere for a product demo on April 18th at 10:00 AM PST. Learn how dynamic sampling and trace insights can transform your observability approach. Register now: https://okt.to/HrDlTs

We updated our STIX via TAXII "Quick Setup" Guide. Learn how to quickly configure Pulsedive's Feeds for Microsoft Security Sentinel and OpenCTI (both native automated import and legacy import). Documentation: https://lnkd.in/dP8fKaRx