Most organizations view their tech and network operations center and their budgets as simply the cost of running their internal and external IT services. However, through IT cost optimization, you can improve how your Ops center team responds to service issues and save valuable resources too. So, what specifically is IT cost optimization?
“Time is money” couldn’t be truer than in managing cloud costs. By way of proactive anomaly detection, a chance is given to save time that could have been spent on issue recognition and resolution. Anomaly detection for the Cloud can be tricky since there can be changes in prices & data on billing history anytime. Not to mention, seasonality can mess things up as well.
Expenditure on cloud computing services reached a mammoth 225 billion dollars in 2022. Companies start their cloud-native journeys with the best intentions and consume the many benefits including: But current cloud expenditure growth levels are unsustainable for many organizations and with 82% of organizations investing in FinOps staff it shows that cloud expenditure is top of mind in the c-suite.
Amazon Elastic Container Service (ECS) is an extremely scalable and high-performing container orchestration solution that allows for the effortless execution, termination, and administration of Docker containers within a cluster. As more organizations embrace containerization, optimizing the costs of running containerized applications is essential, especially when using managed services like Amazon ECS.
The dynamic nature of cloud costs can make it difficult to fully understand your cloud spend and embrace cost ownership at all levels of your organization. To establish cost governance, FinOps teams need a complete view of cloud costs, including allocation by team, service, and product. And DevOps teams need to detect, investigate, and quickly mitigate unexpected costs to minimize overruns, even as they continue to build features and operate their services.
June 7, 2023 It’s no secret that Kubernetes is one of the fastest-growing technologies in use today for deploying and operating applications of all types in the cloud. It’s also no secret that Kubernetes’ popularity is a significant contributor to fast-growing cloud bills. FinOps teams are constantly looking for ways to lower their cloud spend, in cooperation with the DevOps, Engineering and App owner teams that control this infrastructure.
Rising container usage has fueled a growing reliance on container orchestration systems such as Kubernetes, EKS, and ECS. As organizations increasingly opt to run these systems in the cloud, their cloud spend tends not only to grow but also to become more opaque due to the dynamic complexity of these environments. Typically, various services, teams, and products share cluster resources, and as nodes are added and removed, those resources continuously shift.
AWS Fargate is a powerful tool for running containerized workloads on AWS. It’s a serverless compute engine that allows you to run containers and focus on developing and deploying your applications while AWS controls the cloud infrastructure. This can make a real difference for an organization, saving both time and resources that would otherwise go towards managing servers. This guide will discuss AWS Fargate pricing and provide tips for cost optimization.
