Operations | Monitoring | ITSM | DevOps | Cloud

This article explores how to secure production Kubernetes clusters with the help of open source tools. As a prerequisite, you’ll need to have basic beginner-level knowledge of Docker and Kubernetes. In a nutshell, Kubernetes is a container orchestration tool and Docker is a containerization platform. Some of the most famous Kubernetes clusters managed by cloud providers include AWS EKS, Azure AKS, and Google CKE.

According to a public sector survey of federal employees, some useful insights were discovered.

As cloud-native solutions are gaining recognition and becoming a common approach to developing applications, more attention has been directed towards container orchestration and Kubernetes. Both concepts within the realm of IT have been around for a while. Thanks to the technologies' maturing and cloud adoption, they've recently gained significant attention. We all know that software containers are far from traditional shipping containers, yet they function similarly: they standardize and combine.

In your career, if your role has ever included the monitoring or managing of any network infrastructure devices such as switches, routers, firewalls, etc., you’ve very likely heard of SNMP. In case you haven’t, SNMP stands for Simple Network Management Protocol, and, unlike its name suggests, it is anything but simple. It is a standard protocol for collecting information from network devices and organizing it in a way that humans can (sort of) understand.

Our networks are always changing and evolving. Network Testing for higher speeds, better application and network device performance, and after a new service deployment or migration, helps us understand the impact of changes on our network. In this article, we’re running you through how to test network performance using Network Testing and Monitoring tools.

Modern software development is a high-pressure affair. Competition means getting to market faster with higher quality code and being able to release software quicker, monitor it and both find and fix problems quickly. By using modern tools and building a new approach and workflow to allow for monitoring, observability, and intelligent and actionable alerts it is possible to achieve faster release cycles with higher code quality.

We’ve said it before, and we’ll say it again: Security Orchestration, Automation and Response (SOAR) platforms are great tools for helping teams work smarter, faster, and more efficiently against security risks. But, used on their own, SOARs are far from perfect for meeting the full security needs of the modern organization.

When you’re working with large data sets, having that data structured in a way that means you can use software to process and understand it will enable you to derive insights far more quickly than any manual approach. Logfile data is no exception.

Are you sure your Hive queries are performing at their best? You might be surprised. Apache Hive is the most prevalent query engine used in many of the largest enterprise environments today, but that doesn’t mean it works optimally automatically. To get the most out of the engine and achieve Hive query optimization, it’s important to tune its performance. But before we dive into that, let’s cover the basics of Hive performance tuning. What is Hive performance tuning?