With current global crisis spreading into multiple areas of information technologies, it is crucial to learn how are the security-related areas affected, and what it would mean for the entire IT industry. Remote access to network resources results in both increased load on new and existing tools allowing performing most activity remotely (to grasp the possible scale of impact: read, for example, about recent Zoom service controversies).

Managing a network more effectively has been something our customers have been asking us about for many years, but it has become an increasingly important topic as working from home becomes the new normal across the globe. In this blog series, I thought I’d present a few analytical techniques that we have seen our customers deploy on their network data to: Better understand their network and Develop baselines for network behaviour and detect anomalies.

A difficult question we come across with many customers is ‘what does normal look like for my network?’. There are many reasons why monitoring for changes in network behaviour is important, with some great examples in this article - such as flagging potential security risks or predicting potential outages.

As many of us are rediscovering an interest in board games, it feels relevant to make reference to Hasbro’s classic Clue. Understanding what’s going right or wrong in your sprawling digital business can feel a lot like a murder mystery: it was the authentication service in the east region with the memory exhaustion error. This analogy has a weakness when applied to modern operations. The Clue board game had 6 weapons, 6 suspects, and 9 rooms. That’s 324 combinations.

Apache Arrow, a specification for an in memory columnar data format, and associated projects: Parquet for compressed on disk data, Flight for highly efficient RPC, and other projects for in-memory query processing will likely shape the future of OLAP and data warehousing systems. This will mostly be driven by the promise of interoperability between projects, paired with massive performance gains for pushing and pulling data in and out of big data systems.

You deployed a service to your Kubernetes cluster. How do you it is working as expected? In this blog, Gigi Sayfan, author of “Mastering Kubernetes” talks about Kubernetes observability tools like Prometheus, Grafana and Jaeger, how to utilize them to set proper SLOs and make sure the service meets its objectives.