Best Cloud Cost Management Software for Docker

At Massdriver, we believe in prevention, not permission. Our self-service platform lets ops teams encode their expertise and your organization’s non-negotiables into pre-approved infrastructure modules—using familiar IaC tools like Terraform, Helm, or OpenTofu. Each module embeds policy, security, and cost controls, transforming raw configuration into functional software assets that streamline multi-cloud deployments across AWS, Azure, GCP, and Kubernetes. By centralizing provisioning, secrets management, and RBAC, Massdriver cuts overhead for ops teams while empowering developers to visualize and deploy resources without bottlenecks. Built-in monitoring, alerting, and metrics retention reduce downtime and expedite incident resolution, driving ROI through proactive issue detection and optimized spend. No more juggling brittle pipelines—ephemeral CI/CD automatically spins up based on the tooling in each module. Scale faster and safer with unlimited projects and cloud accounts while ensuring compliance at every step. Massdriver—fast by default, safe by design.

Cloudaware is a SaaS-based cloud management platform designed for enterprises that deploy workloads across multiple cloud providers and on-premises. Cloudaware offers such modules as CMDB, Change Management, Cost Management, Compliance Engine, Vulnerability Scanning, Intrusion Detection, Patching, Log Management, and Backup. In addition, the platform integrates with ServiceNow, New Relic, JIRA, Chef, Puppet, Ansible, and 50+ other products. Customers deploy Cloudaware to streamline their cloud-agnostic IT management processes, spending, compliance and security.

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.

Densify offers a cutting-edge Cloud and Container Resource Management Platform that utilizes machine learning to enable cloud and container workloads to accurately assess their resource needs, fully automating the management of these resources. With Densify, CloudOps teams can ensure that applications consistently receive the optimal resources necessary while minimizing expenses. There’s no need for software installations, complicated implementations, or extensive training—just results. Recognized as a top-tier solution with a rating of “9.5/10, spectacular” by ZDnet, Densify underscores that effective optimization relies on highly precise analytics that stakeholders can trust and act upon. It fosters collaboration and transparency among Finance, Engineering, Operations, and application owners, promoting ongoing cost optimization efforts. Moreover, it seamlessly integrates with your existing ecosystem to support the processes and systems essential for confident optimization strategies, creating a comprehensive framework for resource management.

Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.

Cloud Custodian empowers users to oversee their cloud assets through a system of filtering, tagging, and executing various actions. Utilizing a YAML domain-specific language, it allows for the creation of rules that help maintain a cloud infrastructure which is not only secure but also optimized for cost efficiency. By streamlining the process, it replaces complex cloud-specific scripts with more straightforward syntax, ensuring that policies are effectively applied across your infrastructure. The tool is compatible with major public cloud platforms such as AWS, Azure, and GCP, with additional support for Kubernetes, Tencent Cloud, and OpenStack currently in beta. It actively enforces security measures by seamlessly integrating with the control plane of cloud providers, enabling real-time remediation of issues. In addition, it features comprehensive metrics and reporting capabilities. Users can schedule resources to be turned off during non-peak hours to minimize expenses, while also identifying and removing unused assets by analyzing utilization metrics. Tagging capabilities allow for easy management of underused resources. Furthermore, Cloud Custodian can be executed in various environments, whether locally, on an instance, or in a serverless format through AWS Lambda, providing flexibility in deployment options. This versatility makes it a vital tool for efficient cloud resource management.

Adaptive6 is an innovative platform designed for cloud cost governance and optimization, assisting organizations in identifying, fixing, and averting waste in their cloud infrastructure and coding practices. By continuously monitoring multi-cloud environments, PaaS, and Infrastructure-as-Code setups, it reveals numerous inefficiencies, including hidden "shadow waste" that often goes unnoticed alongside the more apparent cost drivers. The platform equips engineers with in-depth context, AI-generated code corrections, remediation scripts, and automated pull requests to streamline the problem-solving process. Moreover, it integrates shift-left cost control measures into CI/CD pipelines, actively signaling and preventing inefficiencies prior to deployment. Automation of remediation workflows is also a key feature, as it pinpoints resource owners and generates tickets or change requests accompanied by technical advice. With its comprehensive dashboard providing enhanced visibility, recommendations for optimizing over-provisioned cloud and Kubernetes resources, policy enforcement capabilities, and tools that foster cultural accountability, Adaptive6 empowers teams to effectively lower their cloud expenditures while promoting sustainable practices. Ultimately, this platform not only enhances financial efficiency but also contributes to a more responsible approach to cloud resource utilization.