IBM Kubecost Alternatives

Planview Software Product Delivery Solution is an enterprise delivery intelligence platform that connects strategy to execution across your existing development toolchain, giving technology leaders the visibility they need to deliver faster, with confidence and measurable impact. Planview's solution integrates with ADO, GitHub, Jira, and other tools to aggregate real-time delivery data across teams and toolchains. Core capabilities include cross-team dependency management, flow and bottleneck analysis, capacity planning, agile planning at team and portfolio levels, AI-powered roadmapping, delivery analytics (including DORA metrics), connected OKRs, and portfolio-level investment and scenario modeling. Risk signals are surfaced early through configurable thresholds and flow metrics, and executive-ready views replace manual reporting with live, evidence-based delivery intelligence helping enterprises transform how they deliver digital products.

FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate. Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle. Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks. PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage. EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars. ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute. PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant. proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client. Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide

CloudZero is the leader in proactive cloud cost efficiency. We enable engineers to build cost-efficient software without slowing down innovation. CloudZero's next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. We are the only platform that enables companies to understand 100% of their operational cloud spend and take an engineering-led approach to optimizing that spend. CloudZero is used by industry leaders worldwide, such as Coinbase, Klaviyo, Miro, Nubank, and Rapid7.

Yotascale delivers dynamic cloud cost management with unmatched business insights, attribution accuracy, and time to value, helping modern SaaS organizations reduce cloud spend by up to 50%. Yotascale is the only solution that makes it easy for distributed teams to take ownership of cloud costs, with 95% accurate, granular cost attribution in their business context, all-in-one support for multi-cloud and containers (including Kubernetes), and actionable recommendations that make optimizing cloud costs simple, efficient, and predictable. - Time to value in days, not weeks - 95 accurate, granular cloud cost attribution - Cloud cost visibility in YOUR business context - Actionable, scenario-based recommendations engineers can trust - All-in-one support for multi-cloud and containers

CAST AI is an automated Kubernetes cost monitoring, optimization and security platform for your EKS, AKS and GKE clusters. The company’s platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, and improving performance and reliability to boost DevOps and engineering productivity.

Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.

Cloud Repatriation Analyzer (CRA) evaluates public cloud workloads across AWS, GCP, Azure, and DigitalOcean to calculate the financial and technical feasibility of migrating to bare-metal hosting. Core Functionality: - Multi-Cloud Asset Ingestion: Connects via read-only APIs to map resources across compute, storage, databases, and networking. - Automated Waste Identification: Scans 30-day usage metrics to detect ghost storage, idle instances, zombie load balancers, and egress leaks. - Target Topology Blueprinting: Maps cloud workloads to right-sized bare-metal nodes (e.g., Hetzner, OVH), modeling side-by-side Hybrid and Full Migration plans. - TCO & Payback Analytics: Calculates monthly OpEx savings, one-time setup costs, break-even timelines, and 1-, 3-, and 5-year Total Cost of Ownership projections. - Executive PDF Export: Produces exportable migration blueprints detailing resource-level actions, server benchmarks, and managed service dependencies.

LevelFour is a FinOps platform that finds the waste in cloud, SaaS, and AI spend and ships each saving. It covers AWS, Google Cloud, Azure, and Kubernetes, with SaaS and AI bills in the same system of record. LevelFour applies each saving in your account, opens it as an infrastructure-as-code pull request, or hands your team the steps. Creditas, ClickBus, Cayena, and Darwin Seguros use it to cut their bills. Engineers see cost in pull requests on GitHub, GitLab, Bitbucket, and Azure DevOps, in the CLI, and through an MCP server their AI agents can call. Finance sees each saving on the next bill, with the change, the date, and the person who approved it. The pull request bot prices Terraform, CloudFormation, Pulumi, CDK, and Kubernetes manifests before they merge. Cloud Savings costs 30% of realized savings, and nothing when the bill doesn't drop.

Sedai is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize cloud cost savings, performance and availability at scale. Sedai enables teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, organizations can reduce cloud cost by up to 50%, improve performance by up to 75%, reduce failed customer interactions (FCIs) by 75% and multiply SRE productivity by up to 6X for their modern applications. Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so organizations can focus on innovation.

StackSpend is a cloud and AI cost management platform that gives engineering, finance, and FinOps teams one daily view of the modern AI stack. It connects through read-only credentials to providers including AWS, Google Cloud, Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, OpenAI, Anthropic, Cursor, GitHub, Hugging Face, Grok, and Twilio, then automatically loads historical billing data and normalizes spend across services. Dashboards and explorers break costs down by provider, service, model, project, user, team, feature, and customer, helping teams understand AI COGS, cost per request, and product-level margins. Budgets and pace-to-forecast show where monthly spending is headed, while same-day anomaly detection catches unusual increases caused by traffic, prompt bugs, model changes, deployments, or individual users. Alerts and daily green, amber, or red spend signals can be delivered through Slack, Microsoft Teams, email, or webhooks.

CloudNatix can connect to any infrastructure, anywhere, from cloud to the data center to edge, across VM, Kubernetes and managed Kubernetes clusters. Unifying your federated pools of resources into a single planet-scale cluster, all via an easy to consume SaaS service. The global dashboard provides a common view of cost and operational intelligence across your multiple cloud & Kubernetes environments, including AWS, EKS, Azure, AKS, Google Cloud, GKE, and many more. The universal view across all clouds allows you to drill down into the details of every resource including individual instances, and namespaces across all regions, availability zones, and hypervisors. CloudNatix provides a unified cost-attribution view across your multiple public, private and hybrid clouds as well as multiple Kubernetes clusters and namespaces. CloudNatix provides automation for costs you choose to attribute to your business units.

Umbrella is an AI-powered cloud financial management platform that gives organizations unified transparency and control over multi-cloud, Kubernetes, and SaaS spend, helping teams detect waste, forecast budgets, and optimize costs with actionable insights rather than manual spreadsheets. It ingests and correlates cloud and usage data to visualize cost patterns, align spending with KPIs, and track savings trends while offering intelligent anomaly detection that flags unusual cost spikes and real-time alerts so teams can act before overruns occur. It includes accurate forecasting and budgeting capabilities that support strategic planning, automated recommendations to eliminate unnecessary spend, and multi-tenant management suited for MSPs and large enterprises. Features also span a cloud pricing comparison tool that evaluates costs across AWS, Azure, and GCP, a savings tracker to monitor implemented optimization actions, and natural-language CostGPT.

OpenCost is a vendor-neutral open source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Real-time cost allocation, broken down by Kubernetes concepts to the container level. Allocation for in-cluster resources like CPU, GPU, memory, load balancers, and persistent volumes. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as support for on-prem Kubernetes clusters using custom pricing. Monitor costs outside the Kubernetes cluster from the cloud provider, resources like object storage, databases, and other managed services. Integrations with other open source tooling, such as easy pricing data exports to Prometheus.

Finout combines Cloud Providers, Data Warehouses, and CDNs into one mega bill, enabling an unparalleled business context view of your cloud spend with no heavy lifting in minutes. Monitor anomalies, view recommendations and forecast cost per growth. While AWS charges you by the instance, you genuinely care about your pod cost. With no-agent integration, utilize your existing Datadog or Prometheus to get a pod-level granularity of your spend in minutes. Forget about absolute cloud cost. See the cost of what you are utilizing and not only what you are paying for. For example, view Kubernetes pods instead of EC2 instances and DynamoDB indexes. Finout can give you one unified language the entire company can talk in, not only DevOps.

OneLens is a cloud financial management and cost optimization platform for engineering, FinOps, finance, and platform teams. It combines billing and usage data from cloud providers, Kubernetes environments, GPU infrastructure, AI services, and custom cost sources in a shared view. Teams can analyze spend by account, service, cluster, namespace, workload, model, team, or business unit; allocate costs for showback and chargeback; and monitor budgets, forecasts, and anomalies. The platform identifies infrastructure and workload efficiency opportunities, including rightsizing and idle capacity. Policy-based governance, alerts, approvals, and workflow automation help route findings to owners and manage corrective actions. OneLens also tracks AI token and inference usage alongside supporting cloud infrastructure costs to help teams understand and allocate the cost of AI applications.

Spot by NetApp is a suite of cloud operations solutions designed to optimize and automate cloud infrastructure, ensuring applications receive continuously optimized resources that balance performance, availability, and cost. By leveraging advanced analytics and machine learning, Spot enables organizations to achieve up to 90% cost reduction on cloud compute expenses by dynamically utilizing a mix of spot, reserved, and on-demand instances. The platform offers comprehensive tools for cloud financial management (FinOps), Kubernetes infrastructure optimization, and cloud commitment management, providing full visibility into cloud environments and automating operations for maximum efficiency. With Spot by NetApp, businesses can accelerate their cloud adoption, improve operational agility, and maintain robust security across multi-cloud and hybrid environments.

Kubex is an AI-powered Kubernetes resource optimization platform that helps organizations reduce cloud infrastructure costs, improve application performance, and automate workload management. The software uses deterministic machine learning and AI agents to continuously analyze resource utilization and optimize CPU, memory, nodes, autoscaling, and GPU infrastructure. Its automated rightsizing capabilities adjust container resource requests and limits based on observed workload patterns while minimizing performance risks. Kubex also supports intelligent node selection, pod bin packing, Horizontal Pod Autoscaler tuning, and GPU optimization for AI inference workloads. Its agentic automation engine allows teams to review optimization proposals, establish operational guardrails, and approve changes or enable autonomous execution.

Cloud Custodian enables you to manage your cloud resources by filtering, tagging, and then applying actions to them. The YAML DSL allows the definition of rules to enable well-managed cloud infrastructure that's both secure and cost-optimized. Replace ad-hoc cloud-specific scripts with simpler syntax, and Cloud Custodian will apply those policies to your infrastructure. Custodian supports managing AWS, Azure, and GCP public cloud environments with Kubernetes, Tencent Cloud, and OpenStack support in beta. Custodian can actively enforce security policies by natively integrating with the cloud provider's control plan and remediating in real-time. Includes unified metrics and reporting. Set up off-hours to save money by turning off resources when they're not being used. Garbage collects unused resources by looking into utilization metrics. Easily tag and reap unused resources. Custodian can be run locally, on an instance, or serverless in AWS Lambda.

Opsolute is an Infrastructure Cost Intelligence platform that helps Engineering, Platform, and FinOps teams understand not just how much they spend on the cloud, but why. By combining AWS CUR data with live infrastructure metadata across AWS and Kubernetes, Opsolute delivers ownership-aware cost attribution, anomaly detection, root cause analysis, and business context. Key capabilities include: EKS pod & namespace cost attribution S3, NAT Gateway, ELB & RDS optimization insights Data transfer intelligence & dependency-aware recommendations Savings Plans & Reserved Instance analysis Spot migration recommendations & idle resource detection Cost-per-product, tenant & workload visibility Ownership-aware alerts & hierarchical showback Opsolute enables organizations to investigate cloud cost changes faster, prioritize safe optimizations, improve unit economics, and make confident, data-driven cloud decisions.

Configure policies to manage and govern cloud-native environments without impacting agility or speed. Allocate budgets to individual teams or projects, keep track of costs, govern resource usage and generate real-time alerts for cost overruns. Track the complete asset life cycle from ownership and creation to modification and termination. Understand detailed resource consumption patterns and costs associated with decentralized development teams while engaging developers in creating value with each and every deployment. Ensure microservices, containers, pods, and Kubernetes clusters have the most efficient resource footprint possible without compromising reliability, availability, or performance. Replex allows you to right size Kubernetes nodes and cloud instances based on historical and real-time utilization data and is a single source of truth for all performance-critical metrics.

NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.

Cloudgov.ai is an agentic AI FinOps platform for continuous cost and policy governance across cloud, multicloud, data, container, and AI environments. It brings AWS, Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, Kubernetes, OpenAI, Anthropic, and Gemini into one control plane, giving teams a live view of cost, allocation, policy, and risk. Continuous Multicloud Observability connects accounts, analyzes historical spending, filters costs by region, account, and service, and forecasts future spend from history. AI-driven insights identify waste and optimization opportunities, while anomaly detection highlights unexpected spending surges and their financial impact. Ready-to-use Infrastructure as Code remediation snippets help engineering teams apply recommended changes, and Jira integration turns insights and anomalies into assignable work.

A personal sidekick by your side to help you generate ridiculously beautiful cost reports, relate your spend to your business metrics. Analyze resource utilization and make informed decisions on resource allocation and cost management. Recommendations to maximize the value for every dollar you pay. Notify you of potential cost savings or when your spending is trending in an unexpected direction, allowing you to take action before costs spiral out of control. Your personal cost-saving concierge, providing tailored suggestions for optimizing your cloud costs. Discover the hidden optimization signals that your cloud provider is missing and cut cloud costs like a pro. Get a detailed breakdown of your estimated cost savings for each recommendation, giving you a clear understanding of the potential impact on your bottom line.

ManageEngine CloudSpend is a cloud cost management tool designed to help organizations optimize their cloud expenditures across AWS, Azure, and Google Cloud Platform (GCP). It offers real-time insights into cloud spending, enabling businesses to implement best practices such as chargebacks, capacity reservations, and resource rightsizing. Key features include Business Units for cost accountability, budget creation with alerts, and detailed spend analysis by service, region, and account. Additionally, CloudSpend provides AI-driven anomaly detection to identify unexpected cost spikes and offers recommendations for cost optimization. With its user-friendly interface and comprehensive reporting capabilities, CloudSpend empowers organizations to achieve greater financial control and efficiency in their cloud operations.

Koritsu is a cloud cost optimization platform that combines FinOps expertise with AI to help organizations reduce unnecessary cloud spending across providers such as AWS, Azure, and Google Cloud. It is designed to give companies full visibility into their infrastructure costs, identifying inefficiencies such as overprovisioned resources, idle services, and misconfigured environments that often lead to significant financial waste. It analyzes cloud usage patterns and delivers actionable recommendations through automated insights, enabling teams to optimize their environments without impacting application performance or security. It operates through a structured optimization cycle, where AI agents and cloud experts evaluate costs, prioritize high-impact savings opportunities, and implement quick wins that can deliver measurable results in a short time frame.

IBM Targetprocess (formerly Apptio Cloudability). Establish team budgets and accurately forecast and track cloud spend. Correlate cloud spend to business value to make cloud investment decisions with confidence. Stay informed of costs and act on anomalies and rightsizing opportunities by team, service, or project. Accurately allocate all costs, including containers and support charges, to ensure a full chargeback of cloud costs to the business. Leverage rightsizing capabilities across major cloud services to reduce operating expenses and fund future investments. Enable team ownership of cloud spend and correlate this spend to business value for more effective strategic decision-making. Develop a comprehensive cloud optimization strategy geared for immediate cost savings. Included are a set of optimization recommendations aligned with the business while starting to enable accountability across the org.

Exostellar is a self-managed AI infrastructure orchestration platform built to simplify how enterprises run heterogeneous CPU and GPU environments. It intelligently handles scaling, scheduling, and optimization so AI developers and IT teams don’t have to manage infrastructure complexity manually. Exostellar unifies orchestration, optimization, and scalability into a single adaptive layer designed for hybrid and multi-cloud environments. The platform supports advanced CPU and GPU resource management, including just-in-time provisioning and AI-assisted scheduling. With autonomous right-sizing and smart workload tuning, Exostellar helps organizations maximize infrastructure utilization. It is vendor-agnostic and avoids lock-in, giving teams full control across clusters and clouds. By boosting efficiency and reducing costs, Exostellar significantly improves ROI for enterprise AI infrastructure.

Kalos by Stratus10 is an AWS cost and security management platform designed for infrastructure teams that want to reduce AWS spend and improve security. Through powerful data aggregation and visualization of your cloud usage, spend, and security compliance, Kalos simplifies cloud management and empowers you to successfully optimize your infrastructure. Stratus10 is an Amazon Web Services (AWS) Advanced Consulting Partner helping organizations migrate to the cloud and implement best practices. We specialize in cloud migration, application modernization, DevOps and DevSecOps, CI/CD pipelines, Windows Server, networking, serverless infrastructure, Kubernetes (K8s), and cybersecurity.

HCL MyXalytics FinOps, a part of Intelligent Full Stack Observability offering under HCLSoftware AI & Intelligent Operations framework. It is is an Al-driven Cloud FinOps Visibility and Insights product that delivers intelligent insights to help you effectively visualize, manage, and optimize your multi-cloud spending, improve governance, and strengthen your multi-cloud security posture. With MyXalytics FinOps, you can customize your visibility for effective governance and configure policies that help application and business owners avoid cost overruns, compliance, and security vulnerabilities. Further, it also offers effective task allocation and tracking mechanisms to assign the identified issues to concerned teams and track the entire lifecycle until resolution.

FinOps LLM is an AI cost management and LLM observability platform for engineering teams running production GenAI. It makes token spend visible across OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, Groq, and other providers and reconciles internal usage data against provider invoices. Token-level costs can be filtered by provider, model, feature, team, customer, environment, and custom dimensions, giving every dollar a clear owner. Attribution and chargeback tools map usage to product surfaces and customer cohorts, support showback, and export data to NetSuite, QuickBooks, CSV, or APIs. Real-time anomaly detection monitors spend, latency, and quality against rolling feature baselines, sending alerts through Slack, PagerDuty, email, or webhooks when behavior changes. Optional budget enforcement and auto-throttling can stop runaway agents, retries, or model shifts before they become expensive.

Kubernetes and cloud monitoring with a managed Prometheus service. Sysdig Monitor makes it easy to find detailed information about your Kubernetes environment. Bonus: We are fully Prometheus compatible! See all Kubernetes details in one place and troubleshoot Kubernetes errors up to 10x faster. Prometheus made simple with a managed service. Scale quickly with out-of-the-box dashboards, alerts, and integrations. Reduce wasted spending by 40% on average and save with low-cost custom metrics. Troubleshoot Kubernetes errors faster with a prioritized list of issues, pod details, live logs, and remediation steps. Our managed Prometheus service saves time! Use our scalable data store, automatic service discovery, and assisted integration deployment. Keep your PromQL and Grafana dashboards. Dashboards are available out of the box and you can customize any dashboard easily. Alerts are highly configurable and ready to integrate into your alert management system.

DoiT is a global technology company that delivers a comprehensive cloud operations platform powered by proactive, industry-defining expertise so you can increase your operating margins and fuel innovation. DoiT Cloud Intelligence is the only context-aware multicloud intelligence platform that enables you to optimize, scale, and innovate. You turn insights into actions hand-in-hand with our cloud architects to make their cloud performant, reliable, and secure. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we bring specializations in Kubernetes, GenAI, CloudOps, and more, to help more than 4,000 customers worldwide leverage the cloud to drive business growth and innovation.

Uniskai by Profisea Labs is an AI-driven multi-cloud cost optimization platform designed to help DevOps and FinOps teams gain full control over their cloud spending and reduce costs by up to 75%. It offers an intuitive billing dashboard with detailed cost show-back and future cost predictions, enabling users to monitor and manage expenses across AWS, Azure, and GCP. The platform provides personalized rightsizing recommendations to select the ideal instance size and type aligned with actual workload demands and features a distinctive strategy to transform instances into cost-effective spots, seamlessly managing Spot Instances to minimize downtime through proactive system actions. Uniskai's Waste Manager swiftly identifies unutilized, duplicated, or improperly sized resources and backups, allowing users to eliminate cloud waste with a single click.

Explore the capabilities of your cloud estate and find out how to make it work harder. Pilot your cloud estate from anywhere with our dashboard view, accessible from any device. Leverage utilization recommendations and lower-priced spot instances to reduce your cloud spend by up to 80%. Keep your data safe and your estate compliant with 24/7 automated monitoring from Cloud Manager. Fully automated workflows make cost recommendations and flag compliance issues so you can take action quickly and save on resource costs. Analyze your cloud costs to allocate and recharge them to your customers and internal business units. Our dashboard and advanced automation services make your cloud work harder for you. We offer structure and process that provides clarity to all team members on why the work they are doing is important and additionally provide a dashboard and trend to show the business and the delivery teams the value they are adding.

Tanzu CloudHealth (formerly VMware Aria Cost Powered by CloudHealth) simplifies financial management, streamlines operations, and improves organizational collaboration across your multi-cloud environment. Get visibility into a rich set of data for managing your multi-cloud environment. Analyze your infrastructure by dynamic business groups and access custom reporting. Improve resource utilization and realize cost savings with tailored recommendations. Drive continuous optimization with governance policies and automated actions that execute changes in your cloud environment. With more than $24B of annualized cloud spend under management, Tanzu CloudHealth supports 22,000+ organizations worldwide. Grow your cloud expertise with a proven framework to progress through your cloud management maturity journey.

​Pelanor is an AI-powered FinOps platform designed for the modern cloud, offering deep integration across cloud systems to provide clarity on organizational cloud spending. It enables engineering, finance, and business leaders to make informed decisions with contextual cost data. It offers actionable opportunities by tackling significant cost drivers and quickly addressing cost incidents before they escalate. By correlating cloud spend with business metrics, Pelanor provides a comprehensive understanding of what drives expenses and how to improve them. Its advanced cost allocation capabilities empower ownership across the entire organization, allowing for precise chargebacks. Pelanor's autonomous AI-powered FinOps brings clarity to cloud spending, enabling leaders to make informed decisions. The platform offers full visibility into costs at granular levels, such as query or job levels, with customized anomaly monitors and detailed notifications.

ProsperOps is a fully automated, multi-cloud cost optimization platform for AWS, Azure, and Google Cloud. Eliminating cloud waste and managing spend is one of the most persistent challenges for FinOps teams. Cloud usage is inherently elastic, but the financial instruments used to manage cost like Reserved Instances, Savings Plans, and Committed Use Discounts are rigid. ProsperOps bridges this gap by integrating automated rate optimization with intelligent workload optimization, allowing organizations to continuously align cost with usage without manual oversight. Founded in 2018, ProsperOps helps FinOps and engineering teams reduce costs, mitigate financial risk, and eliminate the operational burden of cloud cost management. The platform is governed by customer-defined controls and operates autonomously in the background to execute thousands of real-time optimizations that respond to evolving usage patterns, architectural changes, and business demands.

Adaptive6 is a cloud cost governance and optimization platform that helps organizations detect, remediate, and prevent waste in both cloud infrastructure and code. It continuously scans multi-cloud, PaaS, and Infrastructure-as-Code environments to uncover hundreds of inefficiencies, including hidden “shadow waste” beyond obvious cost drivers, and provides engineers with rich context, AI-driven code fixes, remediation scripts, and automated pull requests to accelerate resolution. It embeds shift-left cost guardrails into CI/CD pipelines to proactively flag and prevent inefficiencies before deployment, and automates remediation workflows by identifying resource owners and creating tickets or change requests with technical guidance. With a unified dashboard for visibility, rightsizing recommendations for over-provisioned cloud and Kubernetes resources, policy enforcement, and tools to support cultural accountability, Adaptive6 enables teams to reduce cloud spend.

With CloudWize, cloud teams can regain visibility and control over their ever-changing cloud environment, creating an optimized, problem-free cloud architecture. Teams can troubleshoot faster, prevent incidents from reoccurring, detect divergence from best practices, optimize cloud related costs and ensure that all security and compliance policies are met. Get alerts on changes with significant cost implications before it’s too late, and enjoy an enhanced ability to avoid budget overruns. Provide your FinOps team with the ability to query and search for misconfigurations that impact costs. Avoid recurring cloud configuration errors. Continuously implement CloudOps & FinOps accumulated knowledge. Analyze your architecture with our advanced multi-service querying capabilities. Use our unique, easy to use graphic language to look for potential cost savings, improve configurations or detect policy breaches to avoid downtime or exposure.

Flexera One is a SaaS platform designed to optimize IT spend, compliance, and risk management across complex hybrid IT environments. It unifies visibility and control of hardware, software, SaaS, and cloud assets, leveraging data from the Technology Intelligence Platform and Technopedia®. By delivering actionable insights, Flexera One helps organizations reduce costs, improve security, and meet sustainability goals. It strengthens vendor negotiations through intelligent analytics and ensures compliance with regulatory requirements. The platform supports IT asset management, SaaS management, FinOps, and cloud cost optimization in a single solution. Flexera One empowers businesses to drive AI-powered digital transformation and operational efficiency.

Optimize your workloads for improved performance, lower costs and reduced response times - with no code changes needed In as little as one week, 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. By incorporating Granulate, customers can now: - Save up to 63% on cloud infrastructure costs - Increase throughput by an average of 41% - Reduce job completion time by 36% on average - Improve response time by an average of 38% Enterprises of all kinds are already using Granulate to make their cloud infrastructure more efficient, from industries like e-commerce, media, advertising, travel, cybersecurity, and more. Most importantly, 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.

Take advantage of the tools included in your Azure subscription to get more value out of the cloud and implement financial governance in your organization. Track resource usage and manage costs across all your clouds with a single, unified view, and access rich operational and financial insights to make informed decisions. Implement governance policies for effective enterprise cloud cost management, and increase accountability with budgets, cost allocation, and chargebacks. Improve the return on your cloud investment by using continuous cost optimization and industry best practices. Manage costs across Azure and AWS from a single location. Get insights based on data from both clouds to simplify your cost management processes.

Reduce cloud cost 30%, provision 150x faster, close security holes, and deploy hybrid-cloud automation in record time. Morpheus is a powerful self-service engine to provide enterprise agility, control, and efficiency. Quickly enable on-prem private clouds, centralize public cloud access, and orchestrate change with cost analytics, governance policy, and automation. Create private clouds, manage public clouds, and consolidate Kubernetes deployment. Provision applications from an on-demand catalog, API/CLI, ITSM, or infrastructure-as-code. Simplify authentication, establish access controls, set policies, and manage security posture. Automate lifecycles from cradle to grave, run workflows, and simplify day-2 actions. Inventory brownfields, rightsize resources, track cloud spend, and centralize visibility.

OrbOps AI is an agentic infrastructure operations platform for DevOps, SRE, Platform Engineering, Cloud, and Security teams. O2 AI uses specialized AI agents to coordinate and automate workflows across CI/CD, releases, incidents, on-call, infrastructure, Kubernetes, security, access governance, provisioning, observability, and FinOps. The platform brings together context from source code, cloud infrastructure, Infrastructure as Code, monitoring, security, identity, and cost-management systems to help teams investigate issues, prepare deployment plans, correlate alerts, understand dependencies, and automate repetitive operations. OrbOps AI follows an Observe → Reason → Plan → Approve → Act → Verify model, combining agentic automation with human and policy controls for critical infrastructure actions. It is designed to work with existing DevOps ecosystems including GitHub, GitLab, Terraform, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, OpenTelemetry, PagerDuty, and Jira.

Powered by artificial intelligence, Tangoe One is a comprehensive platform to simplify, manage, and optimize your IT spending across telecom, mobile, and cloud technologies. With overarching insight into your technology expenses alongside deep visibility into your service usage, Tangoe One allows you to cut costs, drive efficiencies, and achieve financial predictability. Streamline financial management leveraging the largest ecosystem of global carriers and a broad range of integrations working with your business systems. Monitor cost and usage spikes, make projections, and retrieve critical insight into trends helping to streamline spending and right-size programs with confidence. Deliver the right information to business line managers to better track overall spend, bringing greater transparency and visibility across the organization.

Reveal hidden cloud waste and drive continuous cost efficiency across your entire infrastructure. Equip your team with actionable analytics and encourage their commitment to continuous cost optimization. PointFive reaches further into your cloud architecture to find novel savings opportunities. Insights in the context of your business give you the full picture at a glance, and step-by-step remediation workflows make implementation a snap. Provide stakeholders with tailored views and build a culture of shared accountability across your FinOps and engineering teams. Our research team continuously enhances our detection algorithms, enabling them to generate novel recommendations that enhance cost efficiency and performance. Continuous resource scanning detects issues before they drain your budget. Mine your complete cloud architecture and k8s environments for untapped savings. Expansive coverage ensures your team optimizes across all your resources and services.

Capital One Slingshot is a cloud data platform optimization and management solution that helps organizations simplify, optimize, and maximize their use of Snowflake and Databricks by providing enhanced visibility into financial and compute spend, continuous monitoring, dynamic rightsizing, and AI-driven recommendations to reduce waste and inefficiencies while improving performance. It delivers granular dashboards and reports tracking cost, usage, and performance trends, allocates costs to business units with custom tagging, and offers proactive alerts for credit consumption and cost spikes. Slingshot’s recommendation engine analyzes workloads to right-size warehouses, suggests schedule adjustments, and highlights inefficient queries with its Query Advisor to improve SQL performance. It supports automated optimization for Databricks jobs using machine learning models and enables federated management and governance with customizable workflows and controls.

Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.

CloudThrottle was founded by a team of experienced Cloud Architects specializing in federal cloud integration and reselling. Our journey began with building Federal Cloud Infrastructure, deepening our expertise in cloud compliance and management. This led to the development of the CloudThrottle Framework, designed to manage cloud resources within strict budgets. Our per-account pricing model ensures precise cost control, making it ideal for dynamic development and testing environments. We provide budget monitoring, burn-rate tracking, and efficient resource management. Our solutions are available in SaaS-based and self-hosted options, ensuring data security and customization to meet your needs. Our proven budget management workflows enable teams to apply FinOps best practices, making cloud spending measurable, controlled, and predictable. Designed for startups and enterprises, our solutions drive operational efficiency and sustainable growth.

Spot’s Cost Intelligence is a cloud cost-management solution designed to centralize visibility, optimize spend, and drive actionable FinOps in multi-cloud environments. It consolidates cost and usage data across AWS, Azure, and Google Cloud into role-specific dashboards and interactive visualizations, enabling stakeholders to understand resource consumption, spot anomalies, and make data-driven decisions. It uses best-practice checks and alerts to highlight inefficiencies or waste, enabling quick remediation. The platform supports workflow automation, allowing you to set triggers, generate custom reports, and alert teams when certain cost or usage thresholds are breached. It also enables translating raw cost and inventory data into meaningful business metrics, such as compute cost per customer or storage cost per product. By combining Cost Intelligence with Spot’s Billing Engine, Eco, and Ocean modules, users can operationalize FinOps practices, align stakeholders, and more.