Effective troubleshooting and resolution of critical production issues require DevOps and R&D teams to utilize logging and observability. However, selecting the right logging solution can be challenging, given the wide range of available options and associated costs. Additionally, the strategy for logging usage should be tailored to the needs of different personas and use cases, such as DevOps engineers versus developers.
With the current financial climate, cost reduction is top of mind for everyone. IT is one of the biggest cost centers in organizations, and understanding what drives those costs is critical. Many simply don’t understand the cost of their Kubernetes workloads, or even have observability into basic units of cost. This is where FinOps comes into play, and organizations are beginning to implement those best practice standards to understand their cost.
Teams and organizations are leveraging Kubernetes to build platforms supporting their digital transformational efforts. A Kubernetes-based platform provides cloud-native architecture benefits such as automation, elasticity, resilience, and abstraction of the underlying infrastructure.
The efficiency, flexibility and strategic value of cloud computing are driving organizations to deploy cloud-based solutions at rapid pace. Fortune Business Insights predicts the global cloud computing market will experience annual growth of nearly 18% through 2028. As the cloud becomes one of the most expensive resources for modern organizations, cloud financial management, or FinOps, has become a critical initiative.
Public cloud can deliver significant business value across infrastructure cost savings, team productivity, service elasticity, and DevOps agility. Yet, up to 70% of organizations are regularly overshooting their cloud budgets, minimizing the gap between cloud costs and the revenue cloud investments can drive.