Kafka is a distributed streaming platform that acts as a publish-subscribe messaging queue by receiving data from various source systems and making it available to various systems and applications in real time. Key advantages for utilizing Kafka are that it provides durable storage, meaning the data stored within it cannot be easily tampered with, and it is highly scalable, so it can handle a large increase in users, workloads, and transactions when necessary.
Helping businesses deliver a seamless customer experience and ensure zero downtime has always been a key aspect of ManageEngine ServiceDesk Plus. One of this service desk solution’s powerful integrations is with Site24x7, wherein tickets are logged for specific Site24x7 alerts like Trouble, Critical, and Down. Once the incidents are resolved in Site24x7, their associated tickets are automatically closed in ServiceDesk Plus.
Whoever first said that "the fastest code is no code" must have really liked memoization. After all, memoization speeds up your application by running less code. In this article, Jonathan Miles introduces us to memoization. We'll learn when to use it, how to implement it in Ruby, and how to avoid common pitfalls. Buckle up!
Jira users rejoice! We know many project managers rely on Jira, and developers are required to use it for issue tracking. The feedback we get from developers is that they don’t enjoy having to context switch to manage issues. Now, the best way to Jira is not going into Jira at all! You no longer have to leave the GitKraken Git GUI to do any of the following: *Paid features for Jira integration; free for GitKraken Boards integration.
GrafanaCONline is live! We hope you’re able to catch the great online sessions we have planned. If you aren’t up-to-date on the presentations, here’s what you missed on day 5 of the conference.
Today we released version 1.5.0 of Loki! This release comes with some really exciting news and a little bit of caution if you operate Loki installations.
A Prometheus CloudWatch exporter is a key element for anyone wanting to monitor AWS CloudWatch. Exporting CloudWatch metrics to a Prometheus server allows leveraging of the power of PromQL queries, integrating AWS metrics with those from other applications or cloud providers, and creating advanced dashboards for digging down into problems. But, who watches the watcher? Despite those advantages, using the wrong exporter or an incorrect configuration can have bad consequences in production environments.
If you’re reading this article, chances are you’re about to start moving into Azure and want to get your cost control right from the start, or you’re already on your journey and are running into problems getting a clear view of where you’re spending your money. Moving into Azure, or any other cloud, brings with it a new set of challenges that you just don’t face on-prem, and the big one is that pretty much everything incurs its own running cost.
