Operations | Monitoring | ITSM | DevOps | Cloud

A look at what Apache Arrow is, how it works, and some of the companies using it as a critical component in their architecture. Over the past few decades, leveraging big datasets required businesses to perform increasingly complex analysis. Advancements in query performance, analytics, and data storage are largely a result of greater access to memory. Demand, manufacturing process improvements, and technological advances all contributed to cheaper memory.

FinOps, or the practice of managing a company’s cloud computing costs, and DevOps, the process of efficiently building applications in the cloud, should ideally go hand-in-hand. Engineers with a streamlined development process and a cost-conscious mindset can produce functional products with great margins and a high potential for scalability. However, incorporating FinOps into the DevOps lifecycle, and vice versa, isn’t always easy.

Have you ever had to set up and/or maintain a local development environment using Docker that mirrors your production environment as much as possible? Setting-up and supporting such a docker-based local environment is no easy feat! Common problems include: performance issues, broken dependencies, broken relationships between your services and uncontrolled updates of your docker images, among many other issues. So, the question is, what can we do about that?

A little over a year ago, we released Grafana Machine Learning, enabling Grafana Cloud Pro and Advanced users to easily view forecasts of their time series. We recently enhanced Grafana Machine Learning with Outlier Detection, which allows you to monitor a group of similar things, such as load-balanced pods in Kubernetes, and get alerted when something starts behaving differently than its peers.

Mary Johnston Turner is Research Vice President, Future of Digital Infrastructure, at IDC. Cloud-delivered software, often referred to as SaaS (software-as-a-service) or simply as-a-service software allows customers to quickly test, buy and deploy modern business applications while simultaneously improving digital business agility.