Operations | Monitoring | ITSM | DevOps | Cloud

Many of our customers have already embraced mobile transformation and are sending them out in the field to give employees better productivity. For instance, truck drivers now use Android devices for communication and managing their logistics delivery; health organizations use Android tablets to track the location and health status of patients.

DevOps was conceptualized to bridge the collaborative gap between developers and IT operations. Previously, developers worked independently of operations teams, shipping their work to the IT team and moving on. DevOps created a shared sense of ownership of a product, allowing development and ops teams to work in tandem for a more streamlined and efficient workflow.

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.

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?