As more environments run on Kubernetes—including our own— Datadog has been making it easier to get visibility into clusters of any scale. To minimize load on the Kubernetes API server, the Datadog Agent runs in two different modes. The node-based Agent queries local containers or external endpoints for data, while the Cluster Agent fetches cluster-level metadata from the API server.
Redis, which stands for Remote Dictionary Server, is an open source, in-memory data structure store that’s used as a database, memory cache, and message broker. It stores data entirely in memory in the form of key-value pairs. This gives it an edge over all other databases, as it eliminates the need to access data from the disk. It also makes Redis one of the fastest NoSQL databases, where data is accessed in microseconds because there are no seek time delays.
Many Grafana users export images of their dashboard panels. This feature powers the ability to receive alerts with a rendered image of the panel attached, which is valuable for quickly spotting if something is about to go sideways in production. Since Grafana v2.0, when support for server-side rendering of dashboard panels as images was introduced, PhantomJS has served as the built-in image renderer that enables this feature.
A few weeks ago, we announced that Sysdig is offering fully compatible Prometheus monitoring at scale for our customers, as well as a new website called PromCat.io hosting a curated repository of Prometheus exporters, dashboards and alerts. This got me thinking about how we were actually able to implement the changes necessary to offer this in our platform.
Monitoring began by using software agents to capture data from infrastructure, operating systems, and applications. These agents would collect metrics and events from these systems to understand the health of the underlying system and the applications. This is what infrastructure monitoring is today.
Running software uses computer memory for data structures and executable operations. How this memory is accessed and managed depends on the operating system and the programming language. Many modern programming languages manage memory for you, and Ruby is no different. Ruby manages memory usage using a garbage collector (also called gc). In this post, we’ll examine what you, a Ruby developer, need to know about Ruby’s gc. Use the links below to skip ahead in the tutorial.
During the past few months while working on Icinga DB, we have tested our existing libraries on how we work with data and how we present them programmatically. Maybe it was because we were doing something new with Icinga DB or we weren’t entirely happy with the existing code. In any case, it was time for new libraries :-). The IPL – Icinga PHP Library was born. And we want to share that work starting with ipl/Sql an OOP SQL abstraction for PHP.
Gradually, brick by brick, we will get the necessary toolkit to build a company and maintain it. If on previous occasions we have emphasized the importance of monitoring a company’s IT systems, today we will review what it is and what advantages we when we centralize monitoring. The goal is pretty simple: we want to have maximum control over the IT of a company moving unbridled to the summit.
IT leaders need a well-defined strategy for managing patches and upgrades for software applications and technologies. Planned patch management rollouts help combat security vulnerabilities as unpatched systems are highly vulnerable to data breaches and attacks from hackers. During Covid-19, IT organizations have struggled to keep systems updated using remote teams, especially as software vendors have recently released a record number of patch fixes and upgrades.
