Operations | Monitoring | ITSM | DevOps | Cloud

How and Why Has Cloud Computing Surged During the Last Few Years?

Cloud computing is undergoing a surge in adoption. In 2020, more money was spent on cloud computing than on-site data centers - a huge milestone. Increasingly, computing and storage are being routed off-site. How and why is this transition taking place? This article takes a quick look at some of the factors driving this watershed moment.

Managing reusable pipeline configuration with object parameters

CircleCI pipelines are defined in configuration files using the YAML syntax, which has been widely adopted by many software tools and solutions. YAML is a human-readable declarative data structure commonly used in configuration files and in applications where data is being stored or transmitted. The data in pipeline configuration files specifies and controls how workflows and jobs are executed when triggered on the platform.

Intro to AIOps: Leveraging AI and Machine Learning in DevOps

AIOps is a DevOps strategy that brings the power of machine learning to bear on observability and system management. It’s not surprising that an increasing number of companies are now adopting this approach. AIOps first came onto the scene in 2015 (coincidentally the same year as Coralogix) and has been gaining momentum for the past half-decade. In this post, we’ll talk about what AIOps is, and why a business might want to use it for their log analytics.

Kubernetes in 2021: Where does the industry go next?

Ever since Google made Kubernetes open-source in 2014, it has enjoyed incredible growth, helping businesses of all sizes to successfully manage their containers and ultimately make the most of all that our cloud native world has to offer. Individual users certainly initially led the charge with Kubernetes, identifying issues, and generally exploring the best ways to intelligently test, manage, and deploy workloads.

DORA Metrics Explained: the four DORA metrics and how to improve them

DORA metrics come from an organization called DevOps Research and Assessment. This was a team put together by Google to survey thousands of development teams across multiple industries, to try to understand what makes a high performing team different than a low performing team. What they ended up settling on are these four metrics.