Apache Spark is an in-memory distributed data processing engine and YARN is a cluster management technology. Learn how to use them effectively to manage your big data.
Microservices' benefits come with added complexity among the dependencies. Fortunately, linkerd's per-request routing can help stage microservices to make sure they work.
See how to linkerd as your ingress vector ingress to a Kubernetes cluster while also handling service routing, with NGINX to help make it production-ready.
During webinar about 'Distributed Caching for you next Node.js project' I was asked if we provide examples of running Hazelcast with Compose or Swarm. Now you have it!
If event time is very relevant and latencies in the seconds range are completely unacceptable, Kafka should be your first choice. Otherwise, Spark works just fine.
Tools alone won't make you a DevOps aficionado, but they will support you on your DevOps journey. Read about the best tools for each step of your CI/CD process.
This take on objects and object-oriented programming suggests converting data containers and structures into real objects, then tackles the performance issues involved.
Want to switch to the ELK Stack for your logging? Even better, want to get it running on your Azure cloud? This guide will walk you through setting up each component.
Using Spark, you can identify duplicate files in your S3 storage by calculating checksums. It's a quick, easy way to ensure you aren't carrying extra weight.
