Alternatives to StormForge
Compare StormForge alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to StormForge in 2026. Compare features, ratings, user reviews, pricing, and more from StormForge competitors and alternatives in order to make an informed decision for your business.
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1
Google Compute Engine
Google
Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts. -
2
Site24x7
ManageEngine
ManageEngine Site24x7 is a comprehensive observability and monitoring solution designed to help organizations effectively manage their IT environments. It offers monitoring for back-end IT infrastructure deployed on-premises, in the cloud, in containers, and on virtual machines. It ensures a superior digital experience for end users by tracking application performance and providing synthetic and real user insights. It also analyzes network performance, traffic flow, and configuration changes, troubleshoots application and server performance issues through log analysis, offers custom plugins for the entire tech stack, and evaluates real user usage. Whether you're an MSP or a business aiming to elevate performance, Site24x7 provides enhanced visibility, optimization of hybrid workloads, and proactive monitoring to preemptively identify workflow issues using AI-powered insights. Monitoring the end-user experience is done from more than 130 locations worldwide. -
3
JS7 JobScheduler
SOS GmbH
JS7 JobScheduler is an Open Source workload automation system designed for performance, resilience and security. It provides unlimited performance for parallel execution of jobs and workflows. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API. Platforms - Cloud scheduling from Containers for Docker®, Kubernetes®, OpenShift® etc. - True multi-platform scheduling on premises for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid use for cloud and on premises User Interface - Modern, no-code GUI for inventory management, monitoring and control with web browsers - Near real-time information brings immediate visibility of status changes and log output of jobs and workflows - Multi-client capability, role based access management High Availability - Redundancy and Resilience based on asynchronous design and autonomous Agents - Clustering for all JS7 products, automatic fail-over and manual switch-over -
4
Massdriver
Massdriver
At Massdriver, we believe in prevention, not permission, letting ops teams enforce guardrails while developers deploy confidently. Our platform encodes your non-negotiables into self-service modules built with your preferred IaC (Terraform, Helm, OpenTofu, etc.) standardizing infrastructure across AWS, Azure, GCP, and Kubernetes out-of-the-box. By bundling policy, security, and cost controls into functional IaC assets, Massdriver cuts overhead for ops teams and speeds developer workflows. Through a central service catalog, developers can provision what they need with integrated monitoring, secrets management, and RBAC baked in. No more brittle IaC pipelines; ephemeral CI/CD spins up automatically from each module’s tooling. Scale faster with unlimited cloud accounts and projects, all while reducing risk and ensuring compliance. Massdriver—fast by default, safe by design.Starting Price: Free trial -
5
eG Enterprise
eG Innovations
IT performance monitoring is not about monitoring CPU, memory and network resources any more. eG Enterprise makes user experience the centerpiece of your IT monitoring and management strategy. With eG Enterprise, you can measure the digital experience of your users, get deep visibility into the performance the entire application delivery stack — from code to user experience, and data center to cloud — from a single pane of glass, correlate performance across domains and pinpoint the root-cause of problems proactively. Machine learning and analytics capabilities embedded in eG Enterprise enable IT teams make intelligent decisions regarding right-sizing, optimization and planning for future growth. The result: happy users, enhanced productivity, improved IT efficiency and tangible business ROI. eG Enterprise is available for installation on-premise and as a SaaS solution. Start a free trial today.Starting Price: $1,000 per month -
6
Fairwinds Insights
Fairwinds Ops
Protect and optimize your mission-critical Kubernetes applications. Fairwinds Insights is a Kubernetes configuration validation platform that proactively monitors your Kubernetes and container configurations and recommends improvements. The software combines trusted open source tools, toolchain integrations, and SRE expertise based on hundreds of successful Kubernetes deployments. Balancing the velocity of engineering with the reactionary pace of security can result in messy Kubernetes configurations and unnecessary risk. Trial-and-error efforts to adjust CPU and memory settings eats into engineering time and can result in over-provisioning data center capacity or cloud compute. Traditional monitoring tools are critical, but don’t provide everything needed to proactively identify changes to maintain reliable Kubernetes workloads. -
7
Amazon CloudWatch
Amazon
Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications. CloudWatch alarms watch your metric values against thresholds that you specify or that it creates using ML models to detect anomalous behavior. -
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Datadog
Datadog
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.Starting Price: $15.00/host/month -
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Netreo
Netreo
Netreo is the most comprehensive full stack IT infrastructure management and observability platform. We provide a single source of truth for proactive performance and availability monitoring for large enterprise networks, infrastructure, applications and business services. Our solution is used by: - IT Executives to have full visibility from the business service right down into the infrastructure and network that supports it. - IT Engineering departments as a decision support system for capacity planning, and architecting modern solutions. - IT Operations teams for real time visibility into what is failing in their environment, what bottlenecks exist and who it is affecting. We provide all of these insights for systems and vendor mixes in large heterogeneous and constantly evolving environments. We have an extensive and growing list of supported vendors (over 350 integrations) including network vendors, servers, storage, virtualization, cloud platforms and others.Starting Price: $5/resource/mo -
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CAST AI
CAST AI
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.Starting Price: $200 per month -
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Sedai
Sedai
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.Starting Price: $10 per month -
12
CloudAvocado
CloudAvocado
CloudAvocado is an AWS workload and cost management platform that eliminates idle spend with smart scheduling and continuous rightsizing guidance. Teams use CloudAvocado to automate non working hours behavior, rightsize Auto Scaling groups (ASGs) and container clusters, and visualize utilization and savings across accounts, tags, and regions. Create schedules to start/stop or scale resources across EC2, RDS (where supported by AWS), ECS, EKS, SageMaker, MongoDB Atlas . Apply schedules globally with tags or locally to specific resources and teams. Operate from a single console: start, stop resources, assign tags, apply schedules, and manage ownership so dev, test, QA, analytics, and ML environments stopped when no one is using them. Scale ECS, EKS services and node groups to zero non working hours Optimization where it matters Use Cloud Health to assess ownership, tagging, and scheduling coverage, and to surface recommendations for resources.Starting Price: $49 -
13
Exostellar
Exostellar
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. -
14
Elastigroup
Spot by NetApp
Provision, manage and scale compute infrastructure on any cloud. Save up to 80% on your costs while ensuring SLA and high-availability. Elastigroup is a cluster software, designed to optimize performance and costs. It enables companies of all sizes and verticals to reliably leverage Cloud Excess Capacity to optimize and accelerate workloads and save up to 90% on infrastructure compute costs. Elastigroup makes use of proprietary price prediction technology to deploy reliably onto Spot Instances. By predicting interruptions and fluctuations Elastigroup is able to offensively rebalance clusters to prevent interruption. Elastigroup reliably leverages excess capacity across all major cloud providers such as EC2 Spot Instances (AWS), Low-priority VMs (Microsoft Azure) and Preemptible VMs (Google Cloud), while removing risk and complexity, providing simple orchestration and management at scale. -
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AWS Compute Optimizer
Amazon
AWS Compute Optimizer is a service that provides tailored recommendations to optimize the performance and cost of your AWS resources. By analyzing your usage patterns, it helps you identify opportunities to rightsize your infrastructure, resolve performance issues, and clean up unused resources. Compute Optimizer also offers customizable rightsizing recommendations and helps streamline the migration to AWS Graviton CPUs. With insights into idle resource usage and licensing optimization, the service assists in increasing savings and improving operational efficiency. -
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Capital One Slingshot
Capital One
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. -
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IBM Cloudability
IBM
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. -
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Pepperdata
Pepperdata, Inc.
Pepperdata autonomous cost optimization for data-intensive workloads such as Apache Spark is the only solution that delivers 30-47% greater cost savings continuously and in real time with no application changes or manual tuning. Deployed on over 20,000+ clusters, Pepperdata Capacity Optimizer provides resource optimization and full-stack observability in some of the largest and most complex environments in the world, enabling customers to run Spark on 30% less infrastructure on average. In the last decade, Pepperdata has helped top enterprises such as Citibank, Autodesk, Royal Bank of Canada, members of the Fortune 10, and mid-sized companies save over $250 million. -
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ManageEngine CloudSpend
ManageEngine
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.Starting Price: 1% of cloud bill -
20
Morpheus
Morpheus Data
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. -
21
Federator.ai
ProphetStor Data Services
Federator.ai®, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, provides intelligence to orchestrate container resources on top of VMs (virtual machines) or bare metal, allowing users to operate applications without the need to manage the underlying computing resources. Container adoption is growing, and Kubernetes is becoming the de facto standard of container management platforms. Whether container adoption occurs on-premises, in public clouds, or both, the operational overhead is enormous. Using AI/Machine Learning technology, Federator.ai® makes workload and resource predictions for containerized applications. It assists IT administrators foresee computing resource demands of applications and manage computing resources while optimizing costs without sacrificing performance. -
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Nutanix Cost Governance
Nutanix
Drive financial accountability with intelligent resource sizing and accurate visibility into cloud metering and chargeback with NCM Cost Governance (formerly Beam). Achieve greater visibility, optimization and control across public, private, and hybrid multi-cloud environments to keep cloud costs under control. Visibility into public and private cloud spending simplifies cost management and multi-cloud governance. Save more by automating tasks, rightsizing resources and making smarter reserved instance purchases. Allocate resource costs based on consumption and drive governance with a multicolored chargeback. Total cost of ownership is based on the true cost of running a private cloud, including all IT admin costs, calculated using configurable industry standards. Automatically create cloud consumption reports to allocate untagged spending to a cost center and set up budget alerts to keep costs well under control. -
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Adaptive6
Adaptive6
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. -
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Thoras.ai
Thoras.ai
Say goodbye to cloud waste while ensuring your critical applications run reliably. Anticipate demand fluctuations, ensuring optimal capacity and uninterrupted performance. Early anomaly detection enables rapid identification and resolution for smooth operations. Reduce under or over-provisioning through intelligent workload rightsizing. Thoras autonomously optimizes, providing engineers with recommendations and visualizing trends. -
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Uniskai by Profisea Labs
Profisea Labs
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.Starting Price: $10 per month -
26
Opsani
Opsani
We are the only solution on the market that autonomously tunes applications at scale, either for a single application or across the entire service delivery platform. Opsani rightsizes your application autonomously so your cloud application works harder and leaner so you don’t have to. Opsani COaaS maximizes cloud workload performance and efficiency using the latest in AI and Machine Learning to continuously reconfigure and tune with every code release, load profile change, and infrastructure upgrade. We accomplish this while integrating easily with either a single app or across your service delivery platform while also scaling autonomously across 1000’s of services. Opsani allows for you to solve for all three autonomously without compromise. Reduce costs up to 71% by leveraging Opsani's AI algorithms. Opsani optimization continuously evaluates trillions of configuration permutations and pinpoints the best combinations of resources and parameter settings.Starting Price: $500 per month -
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Granulate
Granulate
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.Starting Price: $0.0045 per core per hour -
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Binadox
Binadox
Control your costs and reduce the risk of overspending across all your clouds with a single, unified view. No matter the size and complexity of your Cloud Infrastructure. Improve the return on your cloud investment with intelligent recommendations and the industry’s best practices tailored to your business. Take advantage of smart rightsizing recommendations to ensure the most cost-effective resources utilization. Discover your consumption patterns and invest in reserved instances to get volume discounts and maximize savings. Automate your cloud policy management to control costs, optimize performance, and achieve continuous cost optimization. Drive cost accountability to resources consumers by creating custom policies and applying automated actions. -
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IBM Turbonomic
IBM
Cut infrastructure spend by 33%, reduce data center refresh costs by 75%, and get back 30% of your engineering time with smarter resource management. Increasingly, complex applications run your business. And they can run your teams ragged trying to stay ahead of dynamic demand. When application performance drops, teams are often reacting at human speed, after the fact. To avoid disruption, you may overprovision resource allocations, making estimates that are often costly and don’t always pay off. The IBM® Turbonomic® Application Resource Management (ARM) platform allows you to eliminate this guesswork, saving both time and money. You can continuously automate critical actions in real time—and without human intervention—that proactively deliver the most efficient use of compute, storage and network resources to your apps at every layer of the stack. -
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Kubegrade
Kubegrade
Kubegrade is a cloud-based Kubernetes management platform that simplifies and automates complex Kubernetes operations, making it easier for engineering and platform teams to upgrade, secure, monitor, troubleshoot, optimize, and scale clusters while keeping humans in control. It visualizes cluster state and dependencies, detects configuration drift and deprecated APIs, and uses AI-assisted insights to propose fixes as GitOps-ready pull requests that teams can review and approve, reducing manual toil and aligning cluster deployments with infrastructure as code. Kubegrade’s lifecycle automation covers secure upgrades, patching, cost attribution, rightsizing, centralized monitoring and logging, security enforcement, and troubleshooting with intelligent agents that predict issues and continuously analyze real-time telemetry, helping reduce downtime, mitigate risk, and improve reliability at scale.Starting Price: $300 per month -
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BMC AMI Ops Automation for Capping. Automate workload capping to avoid risk and optimize costs. BMC AMI Ops Automation for Capping (formerly Intelligent Capping for zEnterprise) applies automated intelligence to manage business-critical MSU capacity settings to avoid operational risk, optimize costs, and meet the needs of digital demand. Automatically manage capping limits to prioritize workloads and optimize mainframe software license costs which can consume 30-50% of the IT budget. Dynamically automate defined capacity MSU settings to optimize your monthly software costs by 10% or more. Mitigate business risk by analyzing, simulating, and automatically managing changes to defined capacity settings based on workload profile. Align capacity to business demand by ensuring MSUs are allocated to highest priority workloads. Patented technology drives capping adjustments, ensuring the most business-critical services are unaffected.
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k0rdent
Mirantis
k0rdent is an open-source, Kubernetes-native Distributed Container Management Environment developed by Mirantis to help teams build and operate developer platforms at scale. It uses Kubernetes as a universal control plane across multi-cloud, edge, and on-prem environments. k0rdent simplifies complex infrastructure by automating cluster lifecycle management, policy enforcement, and configuration consistency. The platform enables platform engineering teams to design repeatable, workload-specific developer platforms using declarative templates and composable components. It reduces operational toil by supporting self-service environments and GitOps-driven workflows. With centralized visibility, teams can optimize performance, costs, and compliance from a single control point. k0rdent is built to support modern workloads, including AI and ML, without vendor lock-in. -
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PerfectScale
PerfectScale
With insights that improve stability and reduce waste, PerfectScale provides comprehensive visibility and data-driven intelligence across large-scale distributed systems. By tracking usage patterns and configuration trends over time, we provide DevOps and SRE teams with the necessary data to right-size their K8s environments and continuously meet demand. PerfectScale eliminates the manual efforts and tedious toil of optimization by autonomously keeping your cloud costs low and your environment stable and resilient. By continuously calibrating to your environment’s ever-changing demand, configurations, and code releases, our safe, autonomous actions ensure you always meet demand in the most cost-effective way possible. Proactively eliminate misconfigurations that cause SLA breaches, erode your error budgets, and put resilience and performance at risk. PerfectScale quickly pinpoints and autonomously eliminates under-provisioning errors that cause latency, downtime, and outages. -
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NudgeBee
NudgeBee
NudgeBee is an AI-agentic operations platform and workflow builder designed to automate, optimize, and secure cloud and SRE workflows by combining pre-built AI assistants with customizable agentic automation that integrates with existing tools, observability systems, and cloud infrastructure. It provides a library of reusable AI agents and workflows that help teams accelerate troubleshooting by detecting root causes and recommending or automating fixes, continuously optimize cloud resources to reduce waste and cost, and standardize day-2 operations such as scaling, rightsizing persistent storage, and compliance tasks with guardrails that maintain control and auditability within enterprise environments. Users can build or extend workflows by adding context-aware logic and connecting NudgeBee to tools like Kubernetes, CI/CD platforms, messaging systems (Slack, Teams, Google Chat), and ticketing systems.Starting Price: $150 per month -
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ScaleOps
ScaleOps
Reduce Kubernetes costs by up to 80% and enhance cluster reliability by using real-time, application context-aware, automation for your most critical production environments. We are bringing a new era of cloud resource management by using our proprietary technology of real-time automation & application context awareness, unlocking the full potential of cloud-native applications. Cut your Kubernetes costs by up to 80% through our intelligent resource optimization and automated workload management, ensuring you only pay for what you need without sacrificing performance. Enhance your Kubernetes environments for peak application performance and improve cluster reliability with proactive and reactive mechanisms that automatically mitigate issues caused by sudden, unexpected bursts and stressed nodes, ensuring stability and performance. Installation takes just 2 minutes. Starting with read-only permissions, you will immediately discover the potential our platform can bring to your apps.Starting Price: $5 per month -
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Unravel
Unravel Data
Unravel is an AI-native data observability platform designed to help modern enterprises detect, resolve, and prevent data issues at scale. It uses intelligent, automated agents that work alongside data teams to surface insights, guide decisions, and reduce operational toil. Unravel brings data observability and FinOps together, enabling organizations to improve performance, ensure reliability, and optimize cloud data spending. The platform provides end-to-end visibility across pipelines, workloads, and infrastructure. With agent-driven actionability™, Unravel can take action on behalf of teams, integrate directly with existing tools, or recommend next-best actions. It supports major data platforms including Databricks, Snowflake, and Google Cloud BigQuery. By combining automation with human control, Unravel transforms data observability into a collaborative, always-on partner. -
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Lucidity
Lucidity
Lucidity is a multi-cloud storage management platform that dynamically resizes block storage across AWS, Azure, and Google Cloud without downtime, enabling enterprises to save up to 70% on storage costs. Lucidity automates the expansion and contraction of storage volumes based on real-time data demands, ensuring optimal disk utilization between 75-80%. This autonomous, application-agnostic solution integrates seamlessly with existing applications and environments, requiring no code changes or manual provisioning efforts. Lucidity's AutoScaler is available on the AWS Marketplace, offering enterprises an automated solution to expand and shrink live EBS volumes based on workload without downtime. By streamlining operations, Lucidity enables IT and DevOps teams to reclaim hundreds of hours, allowing them to focus on higher-impact initiatives that drive innovation and efficiency. -
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Application performance shines when you optimize resources across all your data centers and clouds, all with one software solution. See how your app and infrastructure dependencies affect workload performance with full-stack visibility. Get AI-assisted analytics and resource recommendations to help you proactively address issues before they harm your business. Lower costs, automate workloads and optimize application resources across IT. Our real-time decision engine for hybrid cloud environments helps you do it all, from one place. Have resource recommendations carried out automatically when you want them. Pair with Cisco AppDynamics to combine real-time awareness of business outcomes and user experience with infrastructure automation. Get more insights by integrating with third-party APM tools such as Dynatrace and New Relic. Optimize applications and workloads running on AWS.
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Zipher
Zipher
Zipher is an autonomous optimization platform specifically designed to improve the performance and cost efficiency of Databricks workloads by eliminating manual tuning and resource management and continuously adjusting clusters in real time. It uses proprietary machine learning models and the only Spark-aware scaler that actively learns and profiles workloads to adjust cluster resources, select optimal configurations for every job run, and dynamically tune settings like hardware, Spark configs, and availability zones to maximize efficiency and cut waste. Zipher continuously monitors evolving workloads to adapt configurations, optimize scheduling, and allocate shared compute resources to meet SLAs, while providing detailed cost visibility that breaks down Databricks and cloud provider costs so teams can identify key cost drivers. It integrates seamlessly with major cloud service providers including AWS, Azure, and Google Cloud and works with common orchestration and IaC tools. -
40
Microsoft Copilot in Azure
Microsoft
Microsoft Copilot in Azure is an AI-powered assistant that helps users simplify operations, optimize resources, and streamline cloud management across Azure environments. Integrated deeply within the Azure ecosystem, it assists in designing, operating, and troubleshooting workloads through natural language interaction. Copilot automatically recommends service configurations, cost optimizations, and security improvements based on your organization’s policies and environment. It enables users to orchestrate data across Azure services, summarize issues, and suggest actionable solutions in real time. Backed by Microsoft’s enterprise-grade infrastructure, it ensures compliance with over 100 certifications and unmatched security supported by 34,000 security engineers. Copilot in Azure empowers teams to manage their entire cloud lifecycle—from design to optimization—more efficiently and intelligently. -
41
Kubermatic Kubernetes Platform
Kubermatic
Kubermatic Kubernetes Platform (KKP) helps enterprises successfully drive digital transformation by automating their cloud operations anywhere. KKP enables operations and DevOps teams to centrally manage VMs and containerized workloads across hybrid-cloud, multi-cloud, and edge environments with an intuitive self-service developer and operations portal. Kubermatic Kubernetes Platform is open source. Automate operations of thousands of Kubernetes clusters across multi-cloud, on-prem, and edge environments with unparalleled density and resilience. Setup and run your multicloud self service Kubernetes platform with the shortest time to market. Empower your developers and operations team to deploy their clusters in less than three minutes on any infrastructure. Centrally manage your workloads from a single dashboard with a consistent experience from cloud to on-prem to edge. Manage your cloud native stack at scale with enterprise level governance. -
42
Densify
Densify
Densify provides Advanced Cloud & Container Resource Management Platform that leverages machine-learning to make cloud & container workloads self-aware of their precise resource requirements, and fully automates the resource management process. With Densify, CloudOps ensure apps continuously get the optimal resources they need at the lowest possible spend. No software downloads, no implementation, no training—just outcomes. A full service, “9.5/10, spectacular”, product —ZDnet. Optimization is impossible without meticulously-accurate analytics that produce actions your application owners will trust and allow. Policy and transparency that unify Finance, Engineering, Operations, and application owners to drive continuous cost optimization. Connects with your ecosystem to feed the processes and systems required to confidently optimize. -
43
ScaleCloud
ScaleMatrix
Data-intensive AI, IoT and HPC workloads requiring multiple parallel processes have always run best on expensive high-end processors or accelerators, such as Graphic Processing Units (GPU). Moreover, when running compute-intensive workloads on cloud-based solutions, businesses and research organizations have had to accept tradeoffs, many of which were problematic. For example, the age of processors and other hardware in cloud environments is often incompatible with the latest applications or high energy expenditure levels that cause concerns related to environmental values. In other cases, certain aspects of cloud solutions have simply been frustrating to deal with. This has limited flexibility for customized cloud environments to support business needs or trouble finding right-size billing models or support. -
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Cloud Custodian
Cloud Custodian
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.Starting Price: Free -
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CloudNatix
CloudNatix
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. -
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Zerops
Zerops
Zerops.io is a cloud platform designed for developers building modern applications, offering automatic vertical and horizontal autoscaling, granular control over resources, and no vendor lock-in. It simplifies infrastructure management with features like automated backups and failover, CI/CD integration, and full observability. Zerops.io scales seamlessly with your project’s needs, ensuring optimal performance and cost-efficiency from development to production, all while supporting microservices and complex architectures. Ideal for developers who want flexibility, scalability, and powerful automation without the complexity.Starting Price: $0 -
47
mogenius
mogenius
mogenius combines visibility, observability, and automation in a single platform for comprehensive Kubernetes control. Connect and visualize your Kubernetes clusters and workloads. Provide visibility for the entire team. Identify misconfigurations across your workloads. Take action directly within the mogenius platform. Automate your K8s operations with service catalogs, developer self-service, and ephemeral environments. Leverage developer self-service to simplify deployments for your developers. Optimize resource allocation and avoid configuration drift through standardized and automated workflows. Eliminate duplicate work and encourage reusability with service catalogs. Get full visibility into your current Kubernetes setup. Deploy a cloud-agnostic Kubernetes operator to receive a complete overview of what’s going on across your clusters and workloads. Provide developers with local and ephemeral testing environments in a few clicks that mirror your production setup.Starting Price: $350 per month -
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Spot by NetApp
NetApp
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. -
49
Mastek Lightbeam
Mastek
Mastek Lightbeam is an AI-driven workload optimization solution for Snowflake Data Cloud that maximizes efficiency, minimizes costs, and accelerates performance by 2×–5× through real-time, in-place analytics, without ever storing your data. It features a query analyzer and advanced query optimizer to pinpoint and remediate expensive or underperforming queries, unified spend-control dashboards to monitor usage and avoid cost overruns, and usage & billing forecasting to project budgets accurately. Built-in generative AI insights & recommendations and predefined scenarios deliver immediate, actionable guidance, while a free trial (including a SaaS license, query analyzer, advanced optimizer, and one super admin) lets teams validate value on live workloads. Custom plans add tailored deployments, increased user/admin limits, and bespoke features. -
50
IBM Spectrum LSF Suites is a workload management platform and job scheduler for distributed high-performance computing (HPC). Terraform-based automation to provision and configure resources for an IBM Spectrum LSF-based cluster on IBM Cloud is available. Increase user productivity and hardware use while reducing system management costs with our integrated solution for mission-critical HPC environments. The heterogeneous, highly scalable, and available architecture provides support for traditional high-performance computing and high-throughput workloads. It also works for big data, cognitive, GPU machine learning, and containerized workloads. With dynamic HPC cloud support, IBM Spectrum LSF Suites enables organizations to intelligently use cloud resources based on workload demand, with support for all major cloud providers. Take advantage of advanced workload management, with policy-driven scheduling, including GPU scheduling and dynamic hybrid cloud, to add capacity on demand.
