Data analytics refers to analyzing an enormous amount of data to gather useful information. Moreover, it plays a significant role in the decision-making of business operations. But, the process of collecting and transforming data into meaningful insights can be challenging until you are familiar with some meaningful Data analytics tools. In addition, it is a bit difficult to choose the best data analytics tool for your business from the crowded list.

We’re proud to announce that our front end FireHydrant plug in has been open-sourced as part of Backstage, an open platform for infrastructure tooling, services, and documentation created at Spotify. We introduce FireHydrant’s incident management and analytics in Backstage, where you can quickly and efficiently manage your incidents.

OpenSearch has evolved rapidly since its fork from the source code of the last truly open source version of Elasticsearch. So far, the community’s work has focused on removing proprietary code from Elastic, including a number of things that were never purely open source themselves. These include some aspects of the querying languages and capabilities of Elasticsearch.

Open-source projects gravitate to some common problems in the industry. The use of open-source projects accelerates product/solution development and cuts down the costs. Open-source projects for embedded systems to the cloud are commonplace.

KVM (Kernel-based Virtual Machine) is the leading open source virtualisation technology for Linux. It installs natively on all Linux distributions and turns underlying physical servers into hypervisors so that they can host multiple, isolated virtual machines (VMs). KVM comes with no licenses, type-1 hypervisor capabilities and a variety of performance extensions which makes it an ideal candidate for virtualisation and cloud infrastructure implementation.

Rails is a classic on Ruby for a reason. The framework is powerful, intuitive and the language has a low entry bar. However, being designed when systems existed on a single server, standard Rails logging is excessively fractionalized. Even on a single server, a straightforward call can quickly turn into seven unique, unconnected logs.