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.

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.

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.

DevOps and Agile are some of the most prominent concepts in modern IT. Agile emerged at the turn of the century to help development teams become more efficient than with previous approaches. Several years later, around 2010, DevOps emerged as we know it today to enable development and operations teams to deliver better software products, more quickly, and together. These two approaches have a lot in common, including inflated expectations.

At CloudZero, we’re always talking about different ways you can save money and increase your cloud cost efficiency with our platform. From choosing the best provider discounts for your situation to spotting cost trends that have gone off the rails or boosting the metrics that are most important to investors, we’ve discussed numerous ways you can use CloudZero to your company’s financial advantage.

The cloud, as we know it today, was created as recently as 2006. For most of its lifespan since then, companies have been throwing money at cloud services with abandon. The competitive edge gained by having the newest, best, and most powerful tools at their disposal made it worthwhile for companies to spend ever-increasing amounts without too much worry.

When engaging with potential customers, we are often asked “how can we reduce spend on our observability platform like Splunk or Data Dog and simultaneously justify the cost of BindPlane OP?” Let’s dive in and see how the powerful capabilities of BindPlane OP can reduce your total ingest, and get a positive ROI on your BindPlane OP investment.

Every day, CloudZero helps SaaS companies understand their cloud environments and take consistent steps forward on the journey to cloud cost maturity. We discuss this a lot on our blog. What we talk about far less frequently is our own journey. One of the reasons CloudZero can help other businesses grow, change, and adapt is because we know what it’s like to shift strategies and try new things that are a little bit scary or unknown.

Millions of organizations, across every industry, use data to improve strategies, products, and services. Yet, there are bucketloads of cloud data platforms on the market. Picking the right one for your needs can be a challenge. This in-depth comparison guide will help you decide between the data clouds that Snowflake, AWS, and Azure offer.