IBM announced the acquisition of Kubecost, a Kubernetes cost monitoring and optimization software company.
With this acquisition, IBM is showcasing its commitment to the growth of FinOps, both by setting the pace for innovation, as well as strategically bringing leading technologies together. The addition of Kubecost to IBM’s FinOps solutions deepens our commitment to FinOps teams, DevOps teams, and the open-source community as a whole.
Following IBM’s recent acquisition of Apptio in 2023, the addition of Kubecost adds best-in-class container cost management to the IBM FinOps Suite. IBM’s FinOps suite combines IBM Cloudability’s FinOps capabilities and IBM Turbonomic’s AI-automated cloud performance optimization integrations in one solution to give teams the ability to inform, optimize and operate cloud investments regardless of where their workloads are hosted. In fact, IBM Cloudability was recently named a leader in the report, The Forrester Wave™: Cloud Cost Management and Optimization, Q3 2024. The need to combine Kubernetes and cloud cost monitoring, financial business insights and cloud optimization into a comprehensive solution can benefit practitioners wherever they are in their journey.
Kubecost delivers real-time cost visibility and insights needed to not only understand infrastructure spend, but intelligently reduce spend and avoid over-provisioning within Kubernetes environments. With direct integrations into the Kubernetes and cloud billing APIs, FinOps teams can get a comprehensive view of their workloads to optimize cloud spend and prevent resource-based outages. This deeper view into Kubernetes workload optimization becomes easier with Kubecost.
Today's announcement is another example of IBM strengthening its automation portfolio through a mix of organic innovation like IBM Concert and strategic acquisitions like Apptio, Turbonomic, Instana, NS1 and Pliant – all which help organizations reduce complexity and increase control of organizations’ IT environments.
Founded in 2019, Kubecost is based in San Francisco, CA and is led by Co-founder & CEO, Webb Brown and Co-founder & CTO, Ajay Tripathy.
The Latest
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...