Operations | Monitoring | ITSM | DevOps | Cloud

When IT teams and departments aren’t on the same page, they unintentionally create blockers and other issues that negatively affect the entire organization. To prevent these troublesome issues from occurring, CIO recommends looking into a few ways to make IT operations more efficient, such as automating processes or adopting a new IT approach.

The team are excited to start the new year with the latest release for Longhorn 1.4. This latest version is packed with new features and enhancements designed to help make cloud native enterprise storage simpler and more accessible to the cloud native community. For existing users of Longhorn, this latest release is focused on helping you build better value and resiliency across your storage strategy.

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.

HAProxy Technologies is proud to unveil the 2.7 release of HAProxy Data Plane API. This release was a huge undertaking, and as with the 2.6 release, we focused on extending support for configuration keywords. We are happy to announce that with this release we support all HAProxy configuration keywords in the Data Plane API. Along with enhanced keyword coverage, we’ve added the ability to specify multiple named defaults sections through the API.

GitLab CI is a powerful tool for managing the software development and deployment process. It allows you to define and automate build, test, and deployment pipelines and provides features such as version control, collaboration, and continuous integration. However, while GitLab CI is an excellent tool for managing a single environment, it can have some limitations when it comes to managing multiple environments, especially dynamic environments.

The start of a new year often includes reflecting on what you accomplished over the past year and setting new goals for the year ahead. In 2022, BigPanda set big goals to help organizations prevent and resolve IT and service outages through our innovative Incident Intelligence and Automation platform, powered by AIOps. On average, our customers sent us 2.3 billion events and changes per month, with our largest customers by volume sending us approximately 165 million events each.