Coralogix

2014
San Francisco, CA, USA

Latest News

Mar 22, 2020   |  By Stanislav Phoda
Out of the four basic computing resources (storage, memory, compute, network), storage tends to be positioned as the foremost one to focus on for any architect optimizing an Elasticsearch cluster. Let’s take a closer look at a couple of interesting aspects in relation to the Elasticsearch storage optimization and let’s do some hands-on tests along the way to get actionable insights. The storage topic consists of two general perspectives:
Mar 19, 2020   |  By Arun Mohan
Elasticsearch provides a powerful set of options for querying documents for various use cases so it’s useful to know which query to apply to a specific case. The following is a hands-on tutorial to help you take advantage of the most important queries that Elasticsearch has to offer. In this guide, you’ll learn 42 popular query examples with detailed explanations, but before we get started, here’s a summary of what the types of queries we’ll tackle.
Mar 18, 2020   |  By Yuval Khalifa
It was a cloudy winter morning when I had arrived at the office and found, to our horror, that a Kubernetes cluster was suffering from extremely high CPU and network usage and had become almost completely non-functional. To make things worse, restarting the nodes (the go-to DevOp solution), seemed to have absolutely no effect on the issue. Something was poisoning the network and we had to find out what it was and fast.
Mar 18, 2020   |  By Bruno Amaro Almeida
The evolution of Security Information and Event Management (SIEM) is deeply intertwined with cloud computing, both in terms of technological breakthroughs the cloud provided and from its inherent security challenges. With the rise of cloud computing, we no longer rely on long-lived resources. An ephemeral infrastructure obscures the identity of the components and, even if you do have the visibility it doesn’t necessarily mean you can comprehend the meaning behind the components.
Mar 5, 2020   |  By Amir Raz
The power and value that’s embedded in logs are reflected by the status and behavior of our applications and infrastructure. Many times we would like to be alerted when the application or its components show abnormal behavior. This behavior can be reflected by the application sending some logs at a higher than usual volume. Figuring out exactly what ‘higher than usual’ means, or in other words, setting the threshold value at which the alert should trigger can be a daunting task.