Alternatives to CAST AI
Compare CAST AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to CAST AI in 2026. Compare features, ratings, user reviews, pricing, and more from CAST AI competitors and alternatives in order to make an informed decision for your business.
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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
CloudZero
CloudZero
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. -
3
RunPod
RunPod
RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. -
4
StarTree
StarTree
StarTree, powered by Apache Pinot™, is a fully managed real-time analytics platform built for customer-facing applications that demand instant insights on the freshest data. Unlike traditional data warehouses or OLTP databases—optimized for back-office reporting or transactions—StarTree is engineered for real-time OLAP at true scale, meaning: - Data Volume: query performance sustained at petabyte scale - Ingest Rates: millions of events per second, continuously indexed for freshness - Concurrency: thousands to millions of simultaneous users served with sub-second latency With StarTree, businesses deliver always-fresh insights at interactive speed, enabling applications that personalize, monitor, and act in real time.Starting Price: Free -
5
Telepresence
Ambassador Labs
Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.Starting Price: Free -
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
Sonrai Security
Sonraí Security
Identity and Data Protection for AWS, Azure, Google Cloud, and Kubernetes. Sonrai’s public cloud security platform provides a complete risk model of all identity and data relationships, including activity and movement across cloud accounts, cloud providers, and 3rd party data stores. Uncover all identity and data relationships between administrators, roles, compute instances, serverless functions, and containers across multi-cloud accounts and 3rd-party data stores. Inside the platform, our critical resource monitor continuously monitors your critical data sitting inside object stores (e.g. AWS S3, Azure Blob) and database services (e.g. CosmosDB, Dynamo DB, RDS). Privacy and compliance controls are monitored across multiple cloud providers and 3rd party data stores. Resolutions are coordinated with relevant DevSecOps teams. -
8
AWS Auto Scaling
Amazon
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time. -
9
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. -
10
Zesty
Zesty
Zesty’s cloud infrastructure optimization platform helps companies efficiently allocate resources and reduce cloud spend, with solutions for containers, compute, storage, and databases. Zesty Kompass automatically reduces K8s costs by up to 70% with no compromise on SLA. The platform enables nodes deployment in 30s, eliminating the need for node headroom, and expanding the confident usage of Spot Instances. Zesty Commitment Manager automatically optimizes EC2 and RDS discount plans, ensuring maximum coverage and deeper savings with minimal financial risk and no manual effort. Zesty Disk automatically scales up or down PVCs to match real-time application needs, optimizing storage utilization, eliminating the risk of downtime, and reducing costs by up to 70%. Zesty Insights provides a clear overview of potential savings and unused resources, and actionable recommendations that help you focus on the most efficient savings opportunities. -
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CostSage
Vaival Technologies
CostSage is an AI-powered cloud cost platform that helps businesses automatically reduce their AWS cloud costs without risk, complexity, or upfront fees. With CostSage, setup takes less than 60 seconds, customers typically save 30–65% on their monthly AWS bills, achieving results within days. The pricing model is entirely performance-based, you only pay a small percentage of your verified savings, with no subscription or setup fees. If you save less than 10% in the first 60 days, you pay nothing. Key capabilities include: - AI-driven cost optimization and waste detection - Real-time AWS cost visibility and anomaly tracking - Slack/email based approval workflows and team collaboration - Safe, reversible auto-fixes with auditability - Detailed savings reports and ROI trackingStarting Price: $0 -
12
Harness
Harness
Harness is an AI-native software delivery platform that helps engineering teams achieve excellence by automating and streamlining the entire software delivery lifecycle. It enables continuous integration, continuous delivery, and GitOps for multi-cloud, multi-region deployments with increased speed and reliability. Harness simplifies infrastructure as code, database DevOps, and artifact management to improve collaboration and reduce errors. The platform offers AI-powered testing, incident response, chaos engineering, and feature management to enhance quality and resilience. Harness also provides cloud cost management, security testing orchestration, and developer insights to optimize performance and governance. Trusted by leading enterprises, Harness accelerates innovation while reducing manual effort and risk. -
13
Kumoco Cloud Manager
Kumoco
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. -
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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 -
15
StormForge
StormForge
StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing. Organizations see immediate benefits from the reduction of wasted resources — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate.Starting Price: Free -
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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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Syself
Syself
Managing Kubernetes shouldn't be a headache. With Syself Autopilot, both beginners and experts can deploy and maintain enterprise-grade clusters with ease. Say goodbye to downtime and complexity—our platform ensures automated upgrades, self-healing capabilities, and GitOps compatibility. Whether you're running on bare metal or cloud infrastructure, Syself Autopilot is designed to handle your needs, all while maintaining GDPR-compliant data protection. Syself Autopilot integrates with leading DevOps and infrastructure solutions, allowing you to build and scale applications effortlessly. Our platform supports: - Argo CD, Flux (GitOps & CI/CD) - MariaDB, PostgreSQL, MySQL, MongoDB, ClickHouse (Databases) - Grafana, Istio, Redis, NATS (Monitoring & Service Mesh) Need additional solutions? Our team helps you deploy, configure, and optimize your infrastructure for peak performance.Starting Price: €299/month -
18
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. -
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StackRox
StackRox
Only StackRox provides comprehensive visibility into your cloud-native infrastructure, including all images, container registries, Kubernetes deployment configurations, container runtime behavior, and more. StackRox’s deep integration with Kubernetes delivers visibility focused on deployments, giving security and DevOps teams a comprehensive understanding of their cloud-native infrastructure, including images, containers, pods, namespaces, clusters, and their configurations. You get at-a-glance views of risk across your environment, compliance status, and active suspicious traffic. Each summary view enables you to drill into more detail. Using StackRox, you can easily identify and analyze container images in your environment with native integrations and support for nearly every image registry. -
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Calico Cloud
Tigera
Pay-as-you-go security and observability SaaS platform for containers, Kubernetes, and cloud. Get a live view of dependencies and how all the services are communicating with each other in a multi-cluster, hybrid and multi-cloud environment. Eliminate setup and onboarding steps and troubleshoot your Kubernetes security and observability issues within minutes. Calico Cloud is a next-generation security and observability SaaS platform for containers, Kubernetes, and cloud. It enables organizations of all sizes to protect their cloud workloads and containers, detect threats, achieve continuous compliance, and troubleshoot service issues in real-time across multi-cluster, multi-cloud, and hybrid deployments. Calico Cloud is built on Calico Open Source, the most widely adopted container networking and security solution. Instead of managing a platform for container and Kubernetes security and observability, teams consume it as a managed service for faster analysis, relevant actions, etc.Starting Price: $0.05 per node hour -
21
Tigera
Tigera
Kubernetes-native security and observability. Security and observability as code for cloud-native applications. Cloud-native security as code for hosts, VMs, containers, Kubernetes components, workloads, and services to secure north-south and east-west traffic, enable enterprise security controls, and ensure continuous compliance. Kubernetes-native observability as code to collect real-time telemetry, enriched with Kubernetes context, for a live topographical view of interactions between components from hosts to services. Rapid troubleshooting with machine-learning powered anomaly and performance hotspot detection. Single framework to centrally secure, observe, and troubleshoot multi-cluster, multi-cloud, and hybrid-cloud environments running Linux or Window containers. Update and deploy policies in seconds to enforce security and compliance or resolve issues. -
22
OpenCost
OpenCost
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.Starting Price: Free -
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Calico Enterprise
Tigera
A self-managed, active security platform with full-stack observability for containers and Kubernetes. Calico Enterprise is the industry’s only active security platform with full-stack observability for containers and Kubernetes. Calico Enterprise extends the declarative nature of Kubernetes to specify security and observability as code. This ensures consistent enforcement of security policies and compliance, and provides observability for troubleshooting across multi-cluster, multi-cloud and hybrid deployments. Implement zero-trust workload access controls for traffic to and from individual pods to external endpoints on a per-pod basis, to protect your Kubernetes cluster. Author DNS policies that implement fine-grained access controls between a workload and the external services it needs to connect to, like Amazon RDS, ElastiCache, and more. -
24
Kubescape
Armo
A Kubernetes open-source platform providing developers and DevOps an end-to-end security solution, including risk analysis, security compliance, RBAC visualizer, and image vulnerabilities scanning. Kubescape scans K8s clusters, Kubernetes manifest files (YAML files, and HELM charts), code repositories, container registries and images, detecting misconfigurations according to multiple frameworks (such as the NSA-CISA, MITRE ATT&CK®), finding software vulnerabilities, and showing RBAC (role-based-access-control) violations at early stages of the CI/CD pipeline. It calculates risk scores instantly and shows risk trends over time. Kubescape has became one of the fastest-growing Kubernetes security compliance tools among developers due to its easy-to-use CLI interface, flexible output formats, and automated scanning capabilities, saving Kubernetes users and admins precious time, effort, and resources.Starting Price: $0/month -
25
Constellation
Edgeless Systems
Constellation is a CNCF-certified Kubernetes distribution that leverages confidential computing to encrypt and isolate entire clusters, protecting data at rest, in transit, and during processing, by running control and worker planes within hardware-enforced trusted execution environments. It ensures workload integrity through cryptographic certificates and supply-chain security mechanisms (SLSA Level 3, sigstore-based signing), passes Center for Internet Security Kubernetes benchmarks, and uses Cilium with WireGuard for granular eBPF traffic control and end-to-end encryption. Designed for high availability and autoscaling, Constellation delivers near-native performance on all major clouds and supports rapid setup via a simple CLI and kubeadm interface. It implements Kubernetes security updates within 24 hours, offers hardware-backed attestation and reproducible builds, and integrates seamlessly with existing DevOps tools through standard APIs.Starting Price: Free -
26
IBM Kubecost
Apptio, an IBM company
IBM Kubecost provides real-time cost visibility and insights for teams using Kubernetes, helping you continuously reduce your cloud costs. Breakdown costs by any Kubernetes concepts, including deployment, service, namespace label, and more. View costs across multiple clusters in a single view or via a single API endpoint. Join Kubernetes costs with any external cloud services or infrastructure spend to have a complete picture. External costs can be shared and then attributed to any Kubernetes concept for a comprehensive view of spend. Receive dynamic recommendations for reducing spend without sacrificing performance. Prioritize key infrastructure or application changes for improving resource efficiency and reliability. Quickly catch cost overruns and infrastructure outage risks before they become a problem with real-time notifications. Preserve engineering workflows by integrating with tools like PagerDuty and Slack.Starting Price: $199 per month -
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DivvyCloud
DivvyCloud
DivvyCloud helps our customers change the world by empowering them with the freedom to innovate using cloud services without the resulting chaos and risk. With automated, real-time remediation DivvyCloud customers achieve continuous security and compliance, and can fully realize the benefits of cloud and container technology. We have the most mature, accessible, and flexible automation capabilities. Again we have delivered automation since day one, where most competitors focused solely on reporting and have only recently come to automation if at all. DivvyCloud provides security professionals with a platform to automate the protective and reactive controls necessary for an enterprise to innovate at the speed enabled by cloud environments. Automation is the key to being able to achieve both security and speed at scale. With an API polling and event-driven approach to identify risk and trigger remediation, -
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VMware Avi Load Balancer
Broadcom
Simplify application delivery with software-defined load balancers, web application firewall, and container ingress services for any application in any data center and cloud. Simplify administration with centralized policies and operational consistency across on-premises data centers, and hybrid and public clouds, including VMware Cloud (VMC on AWS, OCVS, AVS, GCVE), AWS, Azure, Google, and Oracle Cloud. Free infrastructure teams from manual tasks and enable DevOps teams with self-service. Application delivery automation toolkits include Python SDK, RESTful APIs, Ansible and Terraform integrations. Gain unprecedented insights, including network, end users and security, with real-time application performance monitoring, closed-loop analytics and deep machine learning. -
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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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Chkk
Chkk
Prioritize your top business-critical risks with clear and actionable insights. Continuously harden your Kubernetes availability. Learn from others and avoid repeating their mistakes. Eliminate risks before they cause incidents. Stay up to date with visibility across all your infrastructure layers. Catalog containers, clusters, add-ons, and dependencies. Consolidate insights across clouds, on-prem, and more. Get alerted about all EOL and incompatible versions. Never use spreadsheets or custom scripts again. Chkk’s mission is to enable developers to proactively prevent incidents from happening by learning from others and not repeating known mistakes. Chkk's collective learning technology mines and curates known errors, failures, and disruptions that the Kubernetes community (comprising users/operators, cloud providers, and vendors) has encountered, ensuring that past mistakes are not repeated. -
31
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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Replex
Replex
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. -
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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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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. -
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Espresso AI
Espresso AI
Espresso AI is a data-warehouse optimization system built to reduce the compute and query costs of platforms like Snowflake and Databricks SQL by deploying machine-learning agents that manage scaling, scheduling, and query rewriting in real time. It layers three core agents; an autoscaling agent that predicts workload spikes and minimizes idle compute, a scheduling agent that routes queries dynamically across clusters to maximize utilization and significantly reduce idle time, and a query agent that rewrites SQL using large language models combined with formal verification to ensure equivalent results while improving efficiency. It offers fast deployment (minutes rather than months) and a pricing model tied to savings, so that if it does not reduce your bill, you don’t pay. By automating hundreds of thousands of optimization decisions per day, Espresso AI provides dramatic cost reductions while enabling engineering teams to focus on value-add features. -
36
Finout
Finout
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.Starting Price: $500 per month -
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Amazon EC2 Auto Scaling
Amazon
Amazon EC2 Auto Scaling helps you maintain application availability and lets you automatically add or remove EC2 instances using scaling policies that you define. Dynamic or predictive scaling policies let you add or remove EC2 instance capacity to service established or real-time demand patterns. The fleet management features of Amazon EC2 Auto Scaling help maintain the health and availability of your fleet. Automation is vital to efficient DevOps, and getting your fleets of Amazon EC2 instances to launch, provision software, and self-heal automatically is a key challenge. Amazon EC2 Auto Scaling provides essential features for each of these instance lifecycle automation steps. Use machine learning to predict and schedule the right number of EC2 instances to anticipate approaching traffic changes. -
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NVIDIA DGX Cloud Serverless Inference is a high-performance, serverless AI inference solution that accelerates AI innovation with auto-scaling, cost-efficient GPU utilization, multi-cloud flexibility, and seamless scalability. With NVIDIA DGX Cloud Serverless Inference, you can scale down to zero instances during periods of inactivity to optimize resource utilization and reduce costs. There's no extra cost for cold-boot start times, and the system is optimized to minimize them. NVIDIA DGX Cloud Serverless Inference is powered by NVIDIA Cloud Functions (NVCF), which offers robust observability features. It allows you to integrate your preferred monitoring tools, such as Splunk, for comprehensive insights into your AI workloads. NVCF offers flexible deployment options for NIM microservices while allowing you to bring your own containers, models, and Helm charts.
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39
Convox
Convox
Convox is a powerful platform-as-a-service (PaaS) that simplifies deploying, scaling, and managing cloud applications by abstracting infrastructure complexity and letting teams focus on shipping code. It runs directly within your cloud account and integrates with major cloud providers such as AWS, Google Cloud, Azure, and DigitalOcean, giving you full control and cost efficiency while avoiding extra hosting fees. Convox supports seamless continuous integration and delivery pipelines, auto-scaling policies, and zero-downtime deployments, with tools for environment configuration, role-based access controls, and secure workflows. It includes a developer-friendly CLI, flexible deployment configuration, and integration with common tools like GitHub, GitLab, Slack, and monitoring services, streamlining workflows and boosting productivity. Convox also offers real-time monitoring, detailed logs, and one-click rollbacks for reliable performance and easier troubleshooting.Starting Price: Free -
40
Xosphere
Xosphere
Xosphere Instance Orchestrator automatically performs spot optimization by leveraging AWS Spot instances to optimize the cost of your infrastructure while maintaining the same level of reliability as on-demand instances. Spot instances are diversified amongst family, size, and availability zones to minimize any impact when Spot instances are reclaimed. Instances utilizing reservations will not be replaced by Spot instances. Automatically respond to Spot termination notifications and fast-track replacement on-demand instances. EBS volumes can be configured to be attached to new replacement instances enabling stateful applications to work seamlessly. -
41
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 -
42
Portworx
Pure Storage
Run Kubernetes in production with the #1 Kubernetes platform for persistent storage, backup, DR, data security and capacity management. Easily protect, restore and migrate your Kubernetes applications in any cloud or data center. The Portworx Enterprise Storage Platform is your end-to-end storage and data management solution for all your Kubernetes projects, including container-based CaaS, DBaaS, SaaS, and Disaster Recovery initiatives. Your apps will benefit from container-granular storage, disaster recovery, data security, multi-cloud migrations and more. Easily solve the enterprise requirements needed to run data service on Kubernetes. Effortlessly offer a cloud-like DbaaS to your users without giving up control. Scale the backend data services powering your SaaS app without operational complexity. Add DR to any Kubernetes app with a single command. Easily backup and restore all your Kubernetes applications. -
43
IBM Storage for Red Hat OpenShift unifies traditional and container storage, enabling easier deployment of enterprise-class scale-out microservices architectures. Validated with Red Hat OpenShift, Kubernetes and IBM Cloud Pak. Delivering simplified deployment and management for an integrated experience. Enterprise data protection, automated scheduling, and data reuse support for Red Hat OpenShift and Kubernetes environments. Block, file and object data resources. Quickly deploy what you need when you need it. IBM Storage for Red Hat OpenShift provides the infrastructure foundation and storage orchestration necessary for building a robust, agile, on-premises hybrid cloud environment. IBM supports CSI for its block and file storage families to improve container utilization in Kubernetes environments.
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44
KubeArmor
AccuKnox
KubeArmor is a cloud-native runtime security enforcement engine designed for Kubernetes workloads, containers, and virtual machines. It leverages eBPF and Linux Security Modules (LSMs) like AppArmor and SELinux to preemptively harden workloads and prevent attacks without modifying pods or containers. KubeArmor enforces real-time policy-based controls on process behavior, file access, networking, and resource usage. It simplifies complex security settings by providing Kubernetes-native policy management and detailed policy violation logging. Installation is straightforward via Helm charts, and it integrates seamlessly with multiple cloud marketplaces. KubeArmor’s proactive inline mitigation approach improves security beyond traditional post-attack responses.Starting Price: Free -
45
KubeGrid
KubeGrid
Define your Kubernetes infrastructure, and use KubeGrid to automatically deploy, monitor, and optimize up to thousands of clusters. KubeGrid automates the full lifecycle management of Kubernetes in on-prem and cloud environments, enabling developers to deploy, manage, and update large numbers of clusters with ease. KubeGrid is a Platform as Code, meaning you can declaratively define all your Kubernetes requirements as code, from your on-prem or cloud infrastructure, to cluster specs, and autoscaling policies, and KubeGrid will deploy and manage everything for you. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid goes beyond that to help developers automate Day 2 operations, such as monitoring infrastructure, failing over unhealthy nodes, and updating your clusters and operating system. Kubernetes is great for provisioning pods in an automated fashion. -
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Checkmk
Checkmk
Checkmk is a comprehensive IT monitoring system that enables system administrators, IT managers, and DevOps teams to identify issues across their entire IT infrastructure (servers, applications, networks, storage, databases, containers) and act quickly to resolve them More than 2,000 commercial customers and many more open source users worldwide use Checkmk daily. Key product features: • Service state monitoring with almost 2,000 checks 'out of the box' • Log and event-based monitoring • Metrics, dynamic graphing, and long-term storage • Comprehensive reporting incl. availability and SLAs • Flexible notifications and automated alert handling • Monitoring of business processes and complex systems • Hardware and software inventory • Graphical, rule-based configuration, and automated service discovery Top use cases: • Server Monitoring • Network Monitoring • Application Monitoring • Database Monitoring • Storage Monitoring • Cloud Monitoring • Container MonitoringStarting Price: $0/year -
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BotKube
BotKube
BotKube is a messaging bot for monitoring and debugging Kubernetes clusters. It's built and maintained by InfraCloud. BotKube can be integrated with multiple messaging platforms like Slack, Mattermost, Microsoft Teams to help you monitor your Kubernetes cluster(s), debug critical deployments and gives recommendations for standard practices by running checks on the Kubernetes resources. BotKube watches Kubernetes resources and sends a notification to the channel if any event occurs for example ImagePullBackOff error. You can customize the objects and level of events you want to get from the Kubernetes cluster. You can turn on/off notifications. BotKube can execute kubectl commands on the Kubernetes cluster without giving access to Kubeconfig or underlying infrastructure. With BotKube you can debug your deployment, services or anything about your cluster right from your messaging window. -
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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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Red Hat Advanced Cluster Management for Kubernetes controls clusters and applications from a single console, with built-in security policies. Extend the value of Red Hat OpenShift by deploying apps, managing multiple clusters, and enforcing policies across multiple clusters at scale. Red Hat’s solution ensures compliance, monitors usage and maintains consistency. Red Hat Advanced Cluster Management for Kubernetes is included with Red Hat OpenShift Platform Plus, a complete set of powerful, optimized tools to secure, protect, and manage your apps. Run your operations from anywhere that Red Hat OpenShift runs, and manage any Kubernetes cluster in your fleet. Speed up application development pipelines with self-service provisioning. Deploy legacy and cloud-native applications quickly across distributed clusters. Free up IT departments with self-service cluster deployment that automatically delivers applications.
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Pileus
Pileus
Onboarding has never been simpler. It can be completed in just minutes. Use Pileus to implement tagging policies to gain visibility and control over your resource inventory. Pileus exposes under and over utilized cloud resources and make it easy to make rapid decisions to meet your business goals. Discovers all your cloud assets and provides you with a single console to view and manage your inventory. With continuous monitoring and deep visibility, you gain the power to cut your cloud bill and eliminate unpredictable spending. Get the most relevant and impactful cost saving insights, customized to your needs. Pileus utilizes proprietary algorithms to enable our users to “dive deep” into Kubernetes and identify at the Node level where under-utilization is occurring. Get recommendations tailored for your environment, with precise steps to implement and take action that ensures you are using the optimal set of resources designed to meet your business goals and lower your monthly costs.
