With data being the cornerstone of organizational growth, your data management strategy is integral to your business's success. Data is valued as much as human capital in today's business world: both are key factors contributing to the overall productivity of a company's strategy. Companies have to take simple steps to collect, manage, and analyze various data to run their operations successfully and efficiently.

In the beginning, cloud cost savings were the focus for Spot. As we grew, our customers helped us understand that cloud cost reduction is just one of the many challenges they face when operating in the public cloud. Spot by NetApp has since invested in and developed multiple solutions that can promote FinOps best practices and equip DevOps with comprehensive infrastructure automation and optimization solutions for VMs and containers.

In this article, we will see how we can integrate an Azure data source with Graphite and Grafana. This will allow us to monitor metrics from the applications hosted in the Azure cloud on a Grafana dashboard. We will also see how to integrate Azure Active Directory with MetricFire’s Hosted Graphite and Grafana. You don’t need fully functional cloud services running with Azure to understand this article, but it assumes that you have basic familiarity with Azure Cloud.

In the last post, we explain how to specify nullable elements inside our JSON. Today we will continue on the same topic, JSON Schema. This time I will speak about another Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): Specifying JSON Schema required elements.

Cloud security is a constant concern and tends to revolve around common themes - how do you give intended users access to the data and systems their clearance allows, while maintaining a good user experience; and how do you keep unintended users or malicious bots out? In the entanglement of systems, services, and applications that make up a modern IT infrastructure, this is a lot harder to balance in practice than it is on paper.

In the realm of virtualization, snapshots play an integral role in managing virtual machines (VMs). Essentially, a snapshot captures the state of a VM at a specific point in time, providing a reference point to which you can revert if necessary. This can be especially handy when implementing changes to your VM or its applications, allowing you to quickly undo the changes if they cause any unforeseen issues.

Kubernetes has emerged as the go-to platform for container orchestration, empowering organizations to efficiently deploy and manage applications at scale. As the demands on applications continue to grow, scaling Kubernetes becomes essential to ensure high availability, optimal performance, and seamless expansion. Today, we will delve into the intricacies of scaling Kubernetes on AWS, exploring best practices, popular tools, performance optimization strategies, cost considerations, and future trends.

In case you missed it, AWS experienced an outage or "elevated error rates" on their AWS Lambda APIs in the us-east-1 region between 18:52 UTC and 20:15 UTC on June 13, 2023. If this sounds familiar, it's because it's almost a replay of what happened on December 7, 2021, although that outage was significantly more severe and took longer to restore.

We recently launched several new Cloud Monitoring features to improve your visualization and troubleshooting experience.