Alternatives to ScaleOps
Compare ScaleOps alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to ScaleOps in 2026. Compare features, ratings, user reviews, pricing, and more from ScaleOps competitors and alternatives in order to make an informed decision for your business.
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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 -
2
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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Turn it Off
Turn it Off
Turn it Off is a low barrier, light-touch FinOps platform designed to help you instantly reduce cloud costs and carbon emissions. With Turn it Off you can easily 'turn off' any non-production cloud environments and resources when they’re not in use. Some of the main features are: - Intelligent latency detection: automatically turn off unused non-production environments and resources, so there’s minimal need for manual intervention. - Empowering Business Users: we put control in the hands of non-technical users, making cloud management easy for everyone—not just IT professionals. - Real-Time Dashboards: our live dashboards give full transparency into cloud costs and carbon savings, supporting your sustainability goals. - Cloud Agnostic: whether you’re using AWS, Azure, or GCP, Turn it Off integrates seamlessly across different providers. And what’s more, you can group by application to minimize overhead. -
4
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 -
5
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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Skaffold
Skaffold
Skaffold is an open source command-line tool that streamlines the development workflow for Kubernetes applications. It automates the processes of building, pushing, and deploying your application, allowing you to focus on writing code. Skaffold supports various tools and technologies, offering flexibility in choosing your preferred build and deployment methods. It features a pluggable architecture, enabling integration with different implementations of the build and deploy stages. Skaffold is lightweight, operating entirely on the client side without adding overhead or maintenance burdens to your Kubernetes cluster. It facilitates fast local Kubernetes development by detecting source code changes and handling the pipeline to build, push, test, and deploy your application automatically. Skaffold also provides continuous feedback by managing deployment logging and resource port-forwarding. Its context-aware capabilities allow the use of profiles, local user configurations, etc.Starting Price: Free -
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Karpenter
Amazon
Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter is an open source, high-performance Kubernetes cluster autoscaler that simplifies infrastructure management by automatically launching the appropriate compute resources to handle your cluster's applications. Designed to leverage the full potential of the cloud, Karpenter enables fast and straightforward compute provisioning for Kubernetes clusters. It enhances application availability by swiftly responding to changes in application load, scheduling, and resource requirements, efficiently placing new workloads onto a variety of available computing resources. By identifying opportunities to remove under-utilized nodes, replace costly nodes with more economical alternatives, and consolidate workloads onto more efficient compute resources, Karpenter effectively reduces cluster compute costs.Starting Price: Free -
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IONOS Cloud Managed Kubernetes is a platform designed to orchestrate containerized applications through a fully automated Kubernetes environment that simplifies deployment, scaling, and management of container workloads. It enables users to quickly create and manage Kubernetes clusters and node pools without handling the complexity of the underlying infrastructure. It supports the automated setup of clusters on virtual servers and allows developers to configure hardware properties such as CPU type, number of CPUs per node, RAM, storage size, and storage performance to match specific workload requirements. It is built for distributed production environments and provides integrated persistent storage so that both stateless applications and stateful services can run reliably. Automatic scaling adjusts resources up or down depending on demand, maintaining consistent performance and availability during traffic spikes while preventing unnecessary overprovisioning.Starting Price: $0.05 per hour
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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. -
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Nutanix Kubernetes Engine
Nutanix
Fast-track your way to production-ready Kubernetes and simplify lifecycle management with Nutanix Kubernetes Engine, an enterprise Kubernetes management solution. NKE empowers you to deliver and manage an end-to-end, production-ready Kubernetes environment with push-button simplicity while preserving a native user experience. Deploy and configure production-ready Kubernetes clusters in minutes, as opposed to days or weeks. Automatically configure and deploy your Kubernetes clusters for high availability through NKE’s simple, streamlined workflow. Every NKE Kubernetes cluster is deployed with a Nutanix full-featured CSI driver, which natively integrates with Volumes Block Storage and Files Storage to easily provide persistent storage for containerized applications. Add Kubernetes worker nodes with a single click. When additional physical resources are needed, expanding the cluster is just as simple. -
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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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Azure Red Hat OpenShift
Microsoft
Azure Red Hat OpenShift provides highly available, fully managed OpenShift clusters on demand, monitored and operated jointly by Microsoft and Red Hat. Kubernetes is at the core of Red Hat OpenShift. OpenShift brings added-value features to complement Kubernetes, making it a turnkey container platform as a service (PaaS) with a significantly improved developer and operator experience. Highly available, fully managed public and private clusters, automated operations, and over-the-air platform upgrades. Take advantage of the enhanced user interface for application topology and builds in the web console to build, deploy, configure, and visualize containerized applications and cluster resources more easily.Starting Price: $0.44 per hour -
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Slurm
IBM
Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), is a free, open-source job scheduler and cluster management system for Linux and Unix-like kernels. It's designed to manage compute jobs on high performance computing (HPC) clusters and high throughput computing (HTC) environments, and is used by many of the world's supercomputers and computer clusters.Starting Price: Free -
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Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.
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kagent
kagent
kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.Starting Price: Free -
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Loft
Loft Labs
Most Kubernetes platforms let you spin up and manage Kubernetes clusters. Loft doesn't. Loft is an advanced control plane that runs on top of your existing Kubernetes clusters to add multi-tenancy and self-service capabilities to these clusters to get the full value out of Kubernetes beyond cluster management. Loft provides a powerful UI and CLI but under the hood, it is 100% Kubernetes, so you can control everything via kubectl and the Kubernetes API, which guarantees great integration with existing cloud-native tooling. Building open-source software is part of our DNA. Loft Labs is CNCF and Linux Foundation member. Loft allows companies to empower their employees to spin up low-cost, low-overhead Kubernetes environments for a variety of use cases.Starting Price: $25 per user per month -
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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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Kubestone
Kubestone
Welcome to Kubestone, the benchmarking operator for Kubernetes. Kubestone is a benchmarking operator that can evaluate the performance of Kubernetes installations. Supports a common set of benchmarks to measure, CPU, disk, network and application performance. Fine-grained control over Kubernetes scheduling primitives, affinity, anti-affinity, tolerations, storage classes, and node selection. New benchmarks can easily be added by implementing a new controller. Benchmarks runs are defined as custom resources and executed in the cluster using Kubernetes resources, pods, jobs, deployments, and services. Follow the quickstart guide to see how Kubestone can be deployed and how benchmarks can be run. Benchmarks can be executed via Kubestone by creating custom resources in your cluster. After the namespace is created you can use it to post a benchmark request to the cluster. The resulting benchmark executions will reside in this namespace. -
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Kublr
Kublr
Centrally deploy, run, and manage Kubernetes clusters across all of your environments with a comprehensive container orchestration platform that finally delivers on the Kubernetes promise. Optimized for large enterprises, Kublr is designed to provide multi-cluster deployments and observability. We made it easy, so your team can focus on what really matters: innovation and value generation. Enterprise-grade container orchestration might start with Docker and Kubernetes, but Kublr delivers the comprehensive, flexible tools that ensure you deploy enterprise-class Kubernetes clusters from Day One. The platform eases adoption for enterprises new to Kubernetes while providing the flexibility and control mature organizations need. While master self-healing is key, true high availability can only be achieved with additional node self-healing, ensuring worker nodes are as reliable as the cluster. -
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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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NVIDIA Base Command Manager
NVIDIA
NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications. -
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DCHQ
DCHQ
The hosted platform is perfect for development teams that are quickly growing and looking to automate the deployment, life-cycle management and monitoring of applications to reduce the cost of replicating applications in DEV/TEST environments. Websites, such as PayPal casino available in Canada require modern solutions with automation of thousands daily transactions. Dedicated PayPal finance team controls deposits and withdrawals stored in cloud applications, improving time efficiency. Out-of-box integrations with private and public cloud platforms to automate the provisioning and auto-scaling of virtual infrastructure used for Docker-based application deployments. Summarizing the performance of clusters, hosts & running containers with support of alerts & auto-healing.Starting Price: $100 per month -
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Container Service for Kubernetes (ACK) from Alibaba Cloud is a fully managed service. ACK is integrated with services such as virtualization, storage, network and security, providing user a high performance and scalable Kubernetes environments for containerized applications. Alibaba Cloud is a Kubernetes Certified Service Provider (KCSP) and ACK is certified by Certified Kubernetes Conformance Program which ensures consistent experience of Kubernetes and workload portability. Kubernetes Certified Service Provider (KCSP) and qualified by Certified Kubernetes Conformance Program. Ensures Kubernetes consistent experience, workload portability. Provides deep and rich enterprise-class cloud native abilities. Ensures end-to-end application security and provides fine-grained access control. Allows you to quickly create Kubernetes clusters. Provides container-based management of applications throughout the application lifecycle.
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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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Draftt
Draftt
Draftt is a proactive tech stack governance software that continuously monitors every component’s lifecycle and configuration across clouds, workloads, runtimes, and code to help teams stay ahead of technical debt and avoid unexpected end-of-life risks. It provides full-stack visibility with a unified control plane that maps all technologies, versions, dependencies, and Kubernetes clusters in one place, replacing manual audits and static spreadsheets with live inventory and context. Draftt uses secure, read-only integrations with cloud and developer tools to collect lifecycle metadata, detect version drift, and identify compatibility conflicts early. With AI-driven prioritization and impact scoring, it highlights upgrade risks based on urgency, effort, and business impact, and generates detailed remediation plans tailored to your environment. It delivers structured, step-by-step upgrade paths, prebuilt actions, and automated workflows that can be executed directly from Draftt. -
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VMware Tanzu Kubernetes Grid
Broadcom
Power your modern applications with VMware Tanzu Kubernetes Grid. Run the same K8s across data center, public cloud and edge for a consistent, secure experience for all development teams. Keep your workloads properly isolated and secure. Get a complete, easy-to-upgrade Kubernetes runtime with preintegrated and validated components. Deploy and scale all clusters without downtime. Apply security fixes fast. Run your containerized applications on a certified Kubernetes distribution, bolstered by the global Kubernetes community. Use your existing data center tools and workflows to give developers secure, self-serve access to conformant Kubernetes clusters in your VMware private cloud, and extend the same consistent Kubernetes runtime across your public cloud and edge environments. Simplify operations of large-scale, multicluster Kubernetes environments, and keep your workloads properly isolated. Automate lifecycle management to reduce your risk and shift your focus to more strategic work. -
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dstack
dstack
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably. -
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Sangfor Kubernetes Engine
Sangfor
Sangfor Kubernetes Engine (SKE) is a container management platform built on upstream Kubernetes, fully integrated into Sangfor HCI and managed by Sangfor Cloud Platform, that provides a unified environment for running and managing both containers and virtual machines with simplicity, reliability, and security. Ideal for deploying new containerized applications, transitioning to microservices architectures, or consolidating existing VM workloads, SKE offers centralized account, permission, monitoring, and alert management across all workloads. Users can automate the creation of production‑ready Kubernetes clusters in as little as 15 minutes, eliminating manual OS installation and configuration, and leverage a rich set of out‑of‑the‑box components for rapid application deployment, visualized monitoring, diverse log types, and built‑in high‑performance load balancing. -
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Amazon EKS Anywhere
Amazon
Amazon EKS Anywhere is a new deployment option for Amazon EKS that enables you to easily create and operate Kubernetes clusters on-premises, including on your own virtual machines (VMs) and bare metal servers. EKS Anywhere provides an installable software package for creating and operating Kubernetes clusters on-premises and automation tooling for cluster lifecycle support. EKS Anywhere brings a consistent AWS management experience to your data center, building on the strengths of Amazon EKS Distro (the same Kubernetes that powers EKS on AWS.) EKS Anywhere saves you the complexity of buying or building your own management tooling to create EKS Distro clusters, configure the operating environment, update software, and handle backup and recovery. EKS Anywhere enables you to automate cluster management, reduce support costs, and eliminate the redundant effort of using multiple open source or 3rd party tools for operating Kubernetes clusters. EKS Anywhere is fully supported by AWS. -
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Northflank
Northflank
The self-service developer platform for your apps, databases, and jobs. Start with one workload, and scale to hundreds on compute or GPUs. Accelerate every step from push to production with highly configurable self-service workflows, pipelines, templates, and GitOps. Securely deploy preview, staging, and production environments with observability tooling, backups, restores, and rollbacks included. Northflank seamlessly integrates with your preferred tooling and can accommodate any tech stack. Whether you deploy on Northflank’s secure infrastructure or on your own cloud account, you get the same exceptional developer experience, and total control over your data residency, deployment regions, security, and cloud expenses. Northflank leverages Kubernetes as an operating system to give you the best of cloud-native, without the overhead. Deploy to Northflank’s cloud for maximum simplicity, or connect your GKE, EKS, AKS, or bare-metal to deliver a managed platform experience in minutes.Starting Price: $6 per month -
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Nirmata
Nirmata
Deploy production-ready Kubernetes clusters in days. Rapidly onboard users and applications. Conquer Kubernetes complexity with an intuitive and powerful DevOps solution. Eliminate friction between teams, enhance alignment, and boost productivity. With Nirmata’s Kubernetes Policy Manager, you’ll have the right security, compliance and Kubernetes governance to scale efficiently. Manage all your Kubernetes clusters, policies, and applications in one place while streamling operations with the DevSecOps Platform. Nirmata’s DevSecOps platform integrates with cloud providers (EKS, AKS, GKE, OKE, etc.) and infrastructure-based solutions (VMware, Nutanix, bare metal) and solves Kubernetes operations challenges for enterprise DevOps teams with powerful Kubernetes management and governance capabilities.Starting Price: $50 per node per month -
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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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CloudCasa
CloudCasa by Catalogic
CloudCasa is a Kubernetes backup and recovery solution for multi-cluster and multi-cloud recovery, named a leader and outperformer by industry analysts. With CloudCasa, developers, DevOps, and Platform Engineering teams don’t need to be a storage or data protection expert to backup and restore your Kubernetes clusters, or to manage Velero. As a powerful and easy to use Kubernetes backup and Velero management service, start with CloudCasa for Velero, and upgrade as needed to CloudCasa Pro, to get advanced multi-cloud application recovery. Let CloudCasa do all the hard work of managing and protecting your cluster resources and persistent data from human error, security breaches, and service failures, providing the business continuity and compliance that your business requires. It's easy for a single cluster, and just as easy for large, complex, multi-cluster, multi-cloud, and hybrid cloud environments.Starting Price: $19 per node per month -
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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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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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Velero
Velero
Velero is an open source tool to safely backup and restore, perform disaster recovery, and migrate Kubernetes cluster resources and persistent volumes. Reduces time to recovery in case of infrastructure loss, data corruption, and/or service outages. Enables cluster portability by easily migrating Kubernetes resources from one cluster to another. Offers key data protection features such as scheduled backups, retention schedules, and pre or post-backup hooks for custom actions. Backup your Kubernetes resources and volumes for an entire cluster, or part of a cluster by using namespaces or label selectors. Set schedules to automatically kickoff backups at recurring intervals. Configure pre and post-backup hooks to perform custom operations before and after Velero backups. Velero is released as open source software and provides community support through our GitHub project page. -
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Longhorn
Longhorn
In the past, ITOps and DevOps have found it hard to add replicated storage to Kubernetes clusters. As a result many non-cloud-hosted Kubernetes clusters don’t support persistent storage. External storage arrays are non-portable and can be extremely expensive. Longhorn delivers simplified, easy to deploy and upgrade, 100% open source, cloud-native persistent block storage without the cost overhead of open core or proprietary alternatives. Longhorn’s built-in incremental snapshot and backup features keep the volume data safe in or out of the Kubernetes cluster. Scheduled backups of persistent storage volumes in Kubernetes clusters is simplified with Longhorn’s intuitive, free management UI. External replication solutions will recover from a disk failure by re-replicating the entire data store. This can take days, during which time the cluster performs poorly and has a higher risk of failure. -
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DoiT
DoiT
DoiT is a global technology company that delivers a comprehensive cloud operations platform powered by proactive, industry-defining expertise so you can increase your operating margins and fuel innovation. DoiT Cloud Intelligence is the only context-aware multicloud intelligence platform that enables you to optimize, scale, and innovate. You turn insights into actions hand-in-hand with our cloud architects to make their cloud performant, reliable, and secure. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we bring specializations in Kubernetes, GenAI, CloudOps, and more, to help more than 4,000 customers worldwide leverage the cloud to drive business growth and innovation.Starting Price: $0 -
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KubeSphere
KubeSphere
KubeSphere is a distributed operating system for cloud-native application management, using Kubernetes as its kernel. It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem. KubeSphere is also a multi-tenant enterprise-grade open-source Kubernetes container platform with full-stack automated IT operations and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich Kubernetes platform, which includes the most common functionalities needed for enterprise Kubernetes strategies. A CNCF-certified Kubernetes platform, 100% open-source, built and improved by the community. Can be deployed on an existing Kubernetes cluster or Linux machines, supports the online and air-gapped installation. Deliver DevOps, service mesh, observability, application management, multi-tenancy, storage, and networking management in a unified platform. -
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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.
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Percona Kubernetes Operator
Percona
The Percona Kubernetes Operator for Percona XtraDB Cluster or Percona Server for MongoDB automates the creation, alteration, or deletion of members in your Percona XtraDB Cluster or Percona Server for MongoDB environment. It can be used to instantiate a new Percona XtraDB Cluster or Percona Server for MongoDB replica set, or to scale an existing environment. The Operator contains all necessary Kubernetes settings to provide a proper and consistent Percona XtraDB Cluster or Percona Server for MongoDB instance. The Percona Kubernetes Operators are based on best practices for configuration and setup of a Percona XtraDB Cluster or Percona Server for MongoDB replica set. The benefits of the Operator are many but saving time and delivering a consistent and vetted environment is key.Starting Price: Free -
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Submariner
Submariner
As Kubernetes gains adoption, teams are finding they must deploy and manage multiple clusters to facilitate features like geo-redundancy, scale, and fault isolation for their applications. With Submariner, your applications and services can span multiple cloud providers, data centers, and regions. The Broker must be deployed on a single Kubernetes cluster. This cluster’s API server must be reachable by all Kubernetes clusters connected by Submariner. It can be a dedicated cluster, or one of the connected clusters. Once Submariner is deployed on a cluster with the proper credentials to the Broker it will exchange Cluster and Endpoint objects with other clusters (via push/pull/watching), and start forming connections and routes to other clusters. Worker node IPs on all connected clusters must be outside of the Pod/Service CIDR ranges. -
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IBM Cloud® Kubernetes Service is a certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud®. It provides intelligent scheduling, self-healing, horizontal scaling and securely manages the resources that you need to quickly deploy, update and scale applications. IBM Cloud Kubernetes Service manages the master, freeing you from having to manage the host OS, container runtime and Kubernetes version-update process.Starting Price: $0.11 per hour
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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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Kong Mesh
Kong
Enterprise service mesh based on Kuma for multi-cloud and multi-cluster on both Kubernetes and VMs. Deploy with a single command. Connect to other services automatically with built-in service discovery, including an Ingress resource and remote CPs. Support across any environment, including multi-cluster, multi-cloud and multi-platform on both Kubernetes and VMs. Accelerate initiatives like zero-trust and GDPR with native mesh policies, improving the speed and efficiency of every application team. Deploy a single control plane that can scale horizontally to many data planes, or support multiple clusters or even hybrid service meshes running on both Kubernetes and VMs combined. Simplify cross-zone communication using an Envoy-based ingress deployment on both Kubernetes and VMs, as well as the built-in DNS resolver for service-to-service communication. Built on top of Envoy with 50+ observability charts out of the box, you can collect metrics, traces, and logs of all L4-L7 traffic.Starting Price: $250 per month -
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Porter
Porter
Porter deploys your applications into your own cloud account in just a few clicks. Get started quickly on Porter, and customize your infrastructure freely as you scale. With a few clicks, Porter will spin up a Kubernetes cluster that's production-ready out of the box, along with other auxiliary infrastructure such as VPC, load balancers, and image registries. Link up your Git repository and let Porter handle the rest. Porter will build your application using Dockerfiles or Buildpacks and automatically configure CI/CD using GitHub Actions that you can customize later. Assign resources, add environment variables, and customize networking - it's your own Kubernetes cluster under the hood, anything can be configured. Porter monitors your cluster constantly to ensure scalability.Starting Price: $6 per month -
47
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 -
48
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. -
49
Gefyra
Blueshoe
Building and pushing containers to test them in Kubernetes is repetitive and time-consuming. Writing and debugging code that depends on services in Kubernetes is daunting. Especially if they are not reachable during development. Gefyra is an Open Source project that runs local code in any Kubernetes cluster without the build and push cycle. It overlays containers in the cluster making code changes immediately available. Gefyra enables you to: - Run containers and talk to internal services on an external Kubernetes cluster - Operate feature-branches in a production-like Kubernetes environment with all adjacent services - Overlay Kubernetes cluster-internal services with you local container. - Leverage development clusters for multiple developers at the same time. - Write code in the IDE you already love - Leverage all the neat development features, such as debugger, code-hot-reloading, overriding - Run high-level integration tests against all dependent servicesStarting Price: free -
50
Knative
Google
Knative, created originally by Google with contributions from over 50 different companies, delivers an essential set of components to build and run serverless applications on Kubernetes. Knative offers features like scale-to-zero, autoscaling, in-cluster builds, and eventing framework for cloud-native applications on Kubernetes. Whether on-premises, in the cloud, or in a third-party data center, Knative codifies the best practices shared by successful real-world Kubernetes-based frameworks. Most importantly, Knative enables developers to focus on writing code without the need to worry about the “boring but difficult” parts of building, deploying, and managing their application.
