Compare Granulate vs. OpenCost

Optimize your workloads for improved performance, lower costs and reduced response times - with no code changes needed Granulate will boost your app’s performance by adapting OS resource management to your individual workloads. Whether you’re using on-prem, hybrid or cloud, Granulate’s real-time and continuous optimization solutions will provide impactful results. Granulate is able to achieve autonomous, continuous workload optimization by following these 3 steps: LEARNING - Installed via Daemonset, Dockerfile or CLI, the agent passively learns your service’s data flows, processing patterns and resources contentions. OPTIMIZING - Once activated, the agent will immediately begin tailoring resource scheduling decisions to your service, resolving inefficiencies and increasing performance. REDUCING COSTS - Your workload’s performance gains are automatically leveraged to reduce cluster size and save on Azure compute costs. Granulate is simple to deploy and offers a “set it and forget it” user experience. With Granulate you get results effortlessly with no R&D efforts involved.

OpenCost is an open-source initiative that is vendor-neutral, designed to measure and allocate costs associated with cloud infrastructure and containers in real-time. Developed by experts in Kubernetes and backed by practitioners in the field, OpenCost brings transparency to the often opaque spending patterns associated with Kubernetes. It offers flexible and customizable options for cost allocation and monitoring of cloud resources, facilitating accurate showback, chargeback, and continuous reporting. The tool provides real-time cost allocation that can be examined down to individual containers, ensuring precise tracking of expenses. It effectively allocates costs for in-cluster resources, including CPU, GPU, memory, load balancers, and persistent volumes. Additionally, OpenCost features dynamic asset pricing by integrating with billing APIs from AWS, Azure, and GCP, while also accommodating on-premises Kubernetes clusters with tailored pricing solutions. Beyond the Kubernetes cluster, it can monitor expenses from cloud providers related to resources such as object storage and databases, as well as other managed services. Furthermore, it seamlessly integrates with other open-source tools, allowing for convenient exports of pricing data to platforms like Prometheus, enhancing its utility in cost management. This makes OpenCost a comprehensive solution for organizations seeking to maintain control over their cloud spending effectively.