Kubernetes has come a long way, but the current state of Kubernetes open source monitoring is in need of improvement. This is in part due to the issues related to an unnecessary volume of data related to that monitoring. For example, a 3-node Kubernetes cluster with Prometheus will ship around 40,000 active series by default. Do we really need all that data?

Apache Tomcat is the Java web server that implements many Java features like web site APIs, Java server pages, Java Servlets, etc. It’s an open-source software widely used in the industry. Tomcat sits on top of your application and is the entry point for reaching your application code. It is crucial to monitor its performance and make sure everything works, get notified when unexpected errors occur, and take action in real-time.

Historically, software development and SRE have worked in silos with different cultural perspectives and priorities. The goal of DevOps is to establish common and complementary practices across software development and operations. Sadly, in some organizations true collaboration is rare and we still have a way to go to build effective DevOps partnerships.

Log management tools improve security, help troubleshoot issues, and enable system monitoring. This log management guide defines key terms and explains the benefits of centralized tools.

Google Cloud Ops Agent now supports monitoring GCE instances with Prometheus.

As cloud deployments scale, Amazon Web Services (AWS) VPC flow logs become an invaluable network visibility and security tool. They are also one of the most voluminous classes of data, making them an expensive choice to add to analytics platforms. With growing infrastructure and traffic, managing these logs presents significant challenges. ‍In part 1 of this series, we took a look at common use cases and problems associated with storing and processing VPC Flow Logs.

The software industry has seen many evolutions. There is a new disruption in the market every five years or so. Software testing cannot remain isolated from all the latest trends and technologies. Testing strategies need to keep up with agile development, faster deployments and increasing customer demand for reliability and user-friendly interfacing. They need to be able to grow just as quickly and just as reliably as the business logic.

Artificial intelligence for IT Operations (or AIOps) has been playing an expanding role in helping SREs, DevOps, and developers effectively navigate the challenges around application and infrastructure complexity, pace of change, and data volume that characterize the operations landscape.

In the last few years, fintech enterprises have disrupted the financial services and banking industry by taking everything computing technology offers – from machine learning to blockchain – and turning it up a notch. Traditional financial institutions must now compete with challenger banks offering electronic payment alternatives, peer-to-peer lending, and investment apps.