This is a guest blogpost from Dave Kempe from Sol1 At Sol1, we provide services around scaling and automating Icinga rollouts for customers. In large environments, we make heavy use of the excellent distributed monitoring features of Icinga to build redundant clusters across datacenters. Icinga uses the object types of Endpoints and Zones to designate the cluster layout, where a Zone contains Endpoints, and may have a parent Zone. Using this logic, a Zone with no parents is the top level zone.

PGP (Pretty Good Privacy) is software that encrypts data. It’s widely used, and has become the standard for email and file encryption, making it an important component of cybersecurity. This article explains what PGP Encryption is in detail, its purpose, and its real-world applications, as well as how and when you should use it.

TLS (transport layer security) is the secure communication protocol used by much of the internet. Everything from the encrypted connection your web browser uses to connect to websites, to the secure connections used by your banking apps, TLS is the industry standard, and the reason you’re able to confidently transfer sensitive information online.

Cloud observability tools offer visibility into your cloud infrastructure. They collect data from various sources to help you understand your applications’ performance. The tools enable you to monitor, optimize, and troubleshoot your cloud environment. In this guide, we’ll share why cloud observability is important and the best tools to consider.

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Want to learn more about the best synthetic monitoring tools in 2024? You’ve come to the right place. Synthetic monitoring refers to the process of using a software to test and evaluate the functionality of an application or a website. By following a script, synthetic monitoring mimics the behavior of a user, navigating through pages or filling out forms.

In a time where sustainability is a critical concern, data centers play a pivotal role in shaping the future of environmental responsibility. Power Usage Effectiveness (PUE) is a core metric in assessing the energy efficiency of data centers. But how exactly does PUE relate to sustainability, and what role does it play in the broader context of ecological responsibility?

Data centers are among the largest consumers of energy worldwide, accounting for up to 3% of global electricity consumption, a figure expected to rise with increasing demand for computing power and services. Energy consumption is a main concern in the data center industry as managers struggle to find ways to improve overall efficiency and environmental sustainability amidst the green wave of new reporting and operating regulations.

This article shares our experience migrating from the AWS Cluster Auto Scaler to Karpenter. We provide an overview of the steps we took to install Karpenter. This article is the first in a series dedicated to Karpenter. In future posts, we will cover other aspects of using Karpenter.