FinOps, short for Financial Operations, is not just a term but a transformative approach that combines finance, operations, and engineering teams. At its core, it empowers organizations to take control of their cloud spending, optimizing resources while aligning seamlessly with business goals.

Amazon Elastic Kubernetes Service (EKS) has revolutionized the way organizations deploy, manage, and scale containerized applications using Kubernetes. However, optimizing costs on EKS infrastructure remains a challenge for many. Enter Karpenter, a Kubernetes-native node autoscaler designed to improve resource efficiency.

Microsoft’s Azure Synapse is a cloud-based analytics service that transforms how organizations analyze and visualize large datasets in real-time for better decision-making. To maximize its benefits, effective cost management is crucial, emphasizing the importance of “Azure Synapse cost optimization.” This analytics powerhouse accelerates insight across data warehouses and big data systems by integrating SQL and Spark technologies, along with tools like Data Explorer and Pipelines.

When managing cloud workloads, FinOps best practices offer the best way of starting the process adoption. FinOps, short for Financial Operations, is a fusion of financial discipline and operational efficiency: as companies increasingly rely on public cloud services, adopting Azure FinOps becomes imperative for maintaining financial transparency and control and optimizing resource utilization while fostering cross-functional collaboration.

“Hasn’t everyone already migrated to the cloud?” is a question you might be considering now. For many businesses – sure, they’ve migrated workloads and operations to the major cloud providers like Amazon Web Service, Google Cloud Platform, and Microsoft Azure. Still, many businesses have just now worked through their due diligence and scalability concerns. While many businesses are “fully cloud,” there are just as many yet to migrate.

Essentially, cloud infrastructure consists of a set of virtual tools and resources that help deliver cloud-based services and products. For companies, cloud infrastructure liberates them from building their own physical data centers. Instead, they rent computing capacity on a need-by-need basis. But let’s not get ahead of ourselves. In this post, we’ll define cloud infrastructure, examine cloud computing types, delivery models, and more.

Discover the key differences, pros, and cons of SaaS vs Self-hosted. Learn what best serves your business and what to look out for with Control Plane.

Practical IT Service Management (ITSM) can be challenging when considering the growth of users and services to support. Additionally, ongoing trends in distributed enterprises with remote workforces, hybrid cloud, and cost-based pressures force companies to do more with less. Atop the usual demands, ITSM teams increasingly expect integrations with observability and security, giving IT support teams a single pane of glass across their roles and responsibilities.

Its that time again, it’s the end of the year and it’s time to reflect on the things that have happened in the technology world and think about what went well, what didn’t go so well, where cloud providers are investing, and where we think they might be going in 2024.

Today’s companies need to determine whether their software rollouts are successful to ensure good user experience, software stability, reliability, and effectiveness during rollouts. To assess their rollouts, they monitor metrics like memory consumption, CPU usage, error rates, and more.