Alternatives to ScaleOps

JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows. JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control. JS7 can operate thousands of Agents across any platform in parallel. Platforms - Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc. - True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid cloud and on-premises use User Interface - Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers - Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows. - Multi-client functionality, role-based access management - OIDC authentication and LDAP integration High Availability - Redundancy & Resilience based on asynchronous design and autonomous Agents - Clustering of all JS7 Products, automatic fail-over and manual switch-over

Turn it Off, a low-barrier FinOps platform with a light touch, is designed to help you reduce cloud costs and CO2 emissions instantly. With Turn it Off, you can easily turn off any non-production cloud environment and resources when not in use. Some of its main features include: - Intelligent latency-detection: automatically turn off non-production environments, and resources that are not in use. This reduces the need for manual intervention. - Empowering business users: We put control in the non-technical user's hands, making cloud management simple for everyone - not just IT professionals. - Dashboards in Real-Time: Our live dashboards provide full transparency on cloud costs and carbon saving, supporting your sustainability goals. Turn it Off is cloud-agnostic: Whether you're using AWS Azure or GCP, the integration works seamlessly with all providers. You can also group your applications to reduce overhead.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

Skaffold is a command-line tool that is open source and enhances the development process for applications running on Kubernetes. By automating the building, pushing, and deployment phases, it enables developers to concentrate more on coding rather than managing these tasks. The tool accommodates a variety of technologies and tools, offering users the freedom to select their preferred methods for building and deploying applications. Its pluggable architecture allows for seamless integration with different build and deploy implementations, making it versatile for various workflows. Operating solely on the client side, Skaffold remains lightweight, ensuring that it does not impose additional overhead or maintenance responsibilities on Kubernetes clusters. It significantly speeds up local Kubernetes development by monitoring changes in source code and automatically managing the pipeline for building, pushing, testing, and deploying applications. Furthermore, Skaffold offers continuous feedback through its management of deployment logs and resource port-forwarding, enhancing the development experience. With context-aware features, it supports the use of profiles and local user configurations, adapting to the needs of individual developers and teams. This flexibility makes Skaffold a valuable tool in the Kubernetes ecosystem, catering to a diverse range of development scenarios.

StormForge drives immediate benefits for organization through its continuous Kubernetes workload rightsizing capabilities — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the HPA at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced ML algorithms 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.

Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.

Karpenter streamlines Kubernetes infrastructure by ensuring that the optimal nodes are provisioned precisely when needed. As an open-source and high-performance autoscaler for Kubernetes clusters, Karpenter automates the deployment of necessary compute resources to support applications efficiently. It is crafted to maximize the advantages of cloud computing, facilitating rapid and seamless compute provisioning within Kubernetes environments. By promptly adjusting to fluctuations in application demand, scheduling, and resource needs, Karpenter boosts application availability by adeptly allocating new workloads across a diverse range of computing resources. Additionally, it identifies and eliminates underutilized nodes, swaps out expensive nodes for cost-effective options, and consolidates workloads on more efficient resources, ultimately leading to significant reductions in cluster compute expenses. This innovative approach not only enhances resource management but also contributes to overall operational efficiency within cloud environments.

IBM Kubecost offers immediate visibility and insights into costs for teams utilizing Kubernetes, enabling ongoing reductions in cloud expenses. You can analyze costs associated with various Kubernetes elements, such as deployments, services, and namespace labels. Monitor expenses from multiple clusters in one consolidated view or through a unified API endpoint. Additionally, link Kubernetes expenditures with any external cloud services or infrastructure costs to gain a holistic understanding of your spending. Costs from external sources can be allocated to specific Kubernetes components, providing a thorough overview of financial outlays. Receive actionable suggestions for cost savings that do not compromise performance, allowing you to refine infrastructure or application modifications for enhanced resource efficiency and reliability. With real-time alerts, you can swiftly identify potential cost overruns and risks of infrastructure failures before they escalate into larger issues. Maintain seamless engineering workflows by integrating Kubecost with collaboration tools like PagerDuty and Slack, ensuring that your teams stay informed and responsive. Ultimately, this comprehensive approach empowers organizations to optimize their Kubernetes spending effectively.

Accelerate your journey to a fully operational Kubernetes setup and streamline lifecycle management with Nutanix Kubernetes Engine, an advanced enterprise solution for managing Kubernetes. NKE allows you to efficiently deliver and oversee a complete, production-ready Kubernetes ecosystem with effortless, push-button functionality while maintaining a user-friendly experience. You can quickly deploy and set up production-grade Kubernetes clusters within minutes rather than the usual days or weeks. With NKE’s intuitive workflow, your Kubernetes clusters are automatically configured for high availability, simplifying the management process. Each NKE Kubernetes cluster comes equipped with a comprehensive Nutanix CSI driver that seamlessly integrates with both Block Storage and File Storage, providing reliable persistent storage for your containerized applications. Adding Kubernetes worker nodes is as easy as a single click, and when your cluster requires more physical resources, the process of expanding it remains equally straightforward. This streamlined approach not only enhances operational efficiency but also significantly reduces the complexity traditionally associated with Kubernetes management.

Azure Red Hat OpenShift delivers fully managed, highly available OpenShift clusters on demand, with oversight and operation shared between Microsoft and Red Hat. At its foundation lies Kubernetes, which Red Hat OpenShift enhances with premium features, transforming it into a comprehensive platform as a service (PaaS) that significantly enriches the experiences of developers and operators alike. Users can benefit from resilient, fully managed public and private clusters, along with automated operations and seamless over-the-air updates for the platform. The web console also offers an improved user interface, enabling easier building, deploying, configuring, and visualizing of containerized applications and the associated cluster resources. This combination of features makes Azure Red Hat OpenShift an appealing choice for organizations looking to streamline their container management processes.

Slurm Workload Manager, which was previously referred to as Simple Linux Utility for Resource Management (SLURM), is an open-source and cost-free job scheduling and cluster management system tailored for Linux and Unix-like operating systems. Its primary function is to oversee computing tasks within high-performance computing (HPC) clusters and high-throughput computing (HTC) settings, making it a popular choice among numerous supercomputers and computing clusters globally. As technology continues to evolve, Slurm remains a critical tool for researchers and organizations requiring efficient resource management.

While many Kubernetes platforms enable users to create and oversee Kubernetes clusters, Loft takes a different approach. Rather than being a standalone solution for managing clusters, Loft serves as an advanced control plane that enhances your current Kubernetes environments by introducing multi-tenancy and self-service functionalities, maximizing the benefits of Kubernetes beyond mere cluster oversight. It boasts an intuitive user interface and command-line interface, yet operates entirely on the Kubernetes framework, allowing seamless management through kubectl and the Kubernetes API, which ensures exceptional compatibility with pre-existing cloud-native tools. The commitment to developing open-source solutions is integral to our mission, as Loft Labs proudly holds membership with both the CNCF and the Linux Foundation. By utilizing Loft, organizations can enable their teams to create economical and efficient Kubernetes environments tailored for diverse applications, fostering innovation and agility in their workflows. This unique capability empowers businesses to harness the true potential of Kubernetes without the complexity often associated with cluster management.

Oracle's Container Engine for Kubernetes (OKE) serves as a managed container orchestration solution that significantly minimizes both the time and expenses associated with developing contemporary cloud-native applications. In a departure from many competitors, Oracle Cloud Infrastructure offers OKE as a complimentary service that operates on high-performance and cost-efficient compute shapes. DevOps teams benefit from the ability to utilize unaltered, open-source Kubernetes, enhancing application workload portability while streamlining operations through automated updates and patch management. Users can initiate the deployment of Kubernetes clusters along with essential components like virtual cloud networks, internet gateways, and NAT gateways with just a single click. Furthermore, the platform allows for the automation of Kubernetes tasks via a web-based REST API and a command-line interface (CLI), covering all aspects from cluster creation to scaling and maintenance. Notably, Oracle does not impose any fees for managing clusters, making it an attractive option for developers. Additionally, users can effortlessly and swiftly upgrade their container clusters without experiencing any downtime, ensuring they remain aligned with the latest stable Kubernetes version. This combination of features positions Oracle's offering as a robust solution for organizations looking to optimize their cloud-native development processes.

Introducing Kubestone, the operator designed for benchmarking within Kubernetes environments. Kubestone allows users to assess the performance metrics of their Kubernetes setups effectively. It offers a standardized suite of benchmarks to evaluate CPU, disk, network, and application performance. Users can exercise detailed control over Kubernetes scheduling elements, including affinity, anti-affinity, tolerations, storage classes, and node selection. It is straightforward to introduce new benchmarks by developing a fresh controller. The execution of benchmark runs is facilitated through custom resources, utilizing various Kubernetes components such as pods, jobs, deployments, and services. To get started, refer to the quickstart guide which provides instructions on deploying Kubestone and running benchmarks. You can execute benchmarks via Kubestone by creating the necessary custom resources within your cluster. Once the appropriate namespace is created, it can be utilized to submit benchmark requests, and all benchmark executions will be organized within that specific namespace. This streamlined process ensures that you can easily monitor and analyze the performance of your Kubernetes applications.

Enhancing application performance becomes effortless when you streamline resources throughout your data centers and cloud environments using a single software solution. Discover the impact of your application and infrastructure dependencies on workload efficiency through comprehensive visibility. Utilize AI-driven analytics and tailored resource suggestions to proactively tackle potential issues before they disrupt your operations. Achieve cost reductions, automate processes, and enhance application resource management across your IT landscape. Our instantaneous decision-making engine designed for hybrid cloud setups empowers you to manage everything from a unified interface. Implement resource recommendations automatically at your preferred times. When integrated with Cisco AppDynamics, you can merge real-time insights into business performance and user experience with automated infrastructure management. Additionally, gain deeper insights by connecting with external APM tools like Dynatrace and New Relic. Ensure optimal performance for applications and workloads deployed on AWS while maximizing resource efficiency and minimizing downtime.

Establish governance policies that effectively manage cloud-native environments while preserving agility and speed. Assign budgets to distinct teams or projects, monitor expenses, regulate resource utilization, and provide immediate notifications for budget exceedances. Oversee the entire asset life cycle, from initiation and ownership to modification and eventual termination. Gain insights into the intricate consumption patterns of resources and the associated costs for decentralized development teams, all while encouraging developers to deliver value with every deployment. It’s essential to ensure that microservices, containers, pods, and Kubernetes clusters operate with optimal resource efficiency, maintaining reliability, availability, and performance standards. Replex facilitates the right-sizing of Kubernetes nodes and cloud instances by leveraging both historical and real-time usage data, serving as a comprehensive repository for all critical performance metrics to enhance decision-making processes. This comprehensive approach ensures that teams can stay on top of their cloud expenses while still fostering innovation and efficiency.

Deploy, operate, and manage Kubernetes clusters across various environments centrally with a robust container orchestration solution that fulfills the promises of Kubernetes. Tailored for large enterprises, Kublr facilitates multi-cluster deployments and provides essential observability features. Our platform simplifies the complexities of Kubernetes, allowing your team to concentrate on what truly matters: driving innovation and generating value. Although enterprise-level container orchestration may begin with Docker and Kubernetes, Kublr stands out by offering extensive, adaptable tools that enable the deployment of enterprise-class Kubernetes clusters right from the start. This platform not only supports organizations new to Kubernetes in their adoption journey but also grants experienced enterprises the flexibility and control they require. While the self-healing capabilities for masters are crucial, achieving genuine high availability necessitates additional self-healing for worker nodes, ensuring they match the reliability of the overall cluster. This holistic approach guarantees that your Kubernetes environment is resilient and efficient, setting the stage for sustained operational excellence.

NVIDIA Base Command Manager provides rapid deployment and comprehensive management for diverse AI and high-performance computing clusters, whether at the edge, within data centers, or across multi- and hybrid-cloud settings. This platform automates the setup and management of clusters, accommodating sizes from a few nodes to potentially hundreds of thousands, and is compatible with NVIDIA GPU-accelerated systems as well as other architectures. It facilitates orchestration through Kubernetes, enhancing the efficiency of workload management and resource distribution. With additional tools for monitoring infrastructure and managing workloads, Base Command Manager is tailored for environments that require accelerated computing, making it ideal for a variety of HPC and AI applications. Available alongside NVIDIA DGX systems and within the NVIDIA AI Enterprise software suite, this solution enables the swift construction and administration of high-performance Linux clusters, thereby supporting a range of applications including machine learning and analytics. Through its robust features, Base Command Manager stands out as a key asset for organizations aiming to optimize their computational resources effectively.

The hosted platform is ideal for rapidly expanding development teams seeking to streamline the deployment, lifecycle management, and monitoring of applications, thus minimizing the costs associated with replicating applications in DEV/TEST environments. For instance, platforms like PayPal's casino services in Canada necessitate cutting-edge solutions that can handle the automation of thousands of transactions each day. A specialized PayPal finance team oversees the management of deposits and withdrawals that are securely kept in cloud applications, significantly enhancing operational efficiency. Furthermore, the platform offers seamless integrations with both private and public cloud services to facilitate the automatic provisioning and scaling of virtual infrastructure essential for Docker-based application deployments. It also provides comprehensive insights into the performance of clusters, hosts, and active containers, along with features for alerting and auto-healing capabilities. This comprehensive approach not only improves reliability but also empowers teams to focus on innovation rather than maintenance.

Alibaba Cloud's Container Service for Kubernetes (ACK) is a comprehensive managed service designed to streamline the deployment and management of Kubernetes environments. It seamlessly integrates with various services including virtualization, storage, networking, and security, enabling users to enjoy high-performance and scalable solutions for their containerized applications. Acknowledged as a Kubernetes Certified Service Provider (KCSP), ACK also holds certification from the Certified Kubernetes Conformance Program, guaranteeing a reliable Kubernetes experience and the ability to easily migrate workloads. This certification reinforces the service’s commitment to ensuring consistency and portability across Kubernetes environments. Furthermore, ACK offers robust enterprise-level cloud-native features, providing thorough application security and precise access controls. Users can effortlessly establish Kubernetes clusters, while also benefiting from a container-focused approach to application management throughout their lifecycle. This holistic service empowers businesses to optimize their cloud-native strategies effectively.

Modern cloud-native applications running on Kubernetes environments require assistance with scaling, securing, and monitoring. Gloo Mesh, utilizing the Istio service mesh, streamlines the management of service mesh for multi-cluster and multi-cloud environments. By incorporating Gloo Mesh into their platform, engineering teams can benefit from enhanced application agility, lower costs, and reduced risks. Gloo Mesh is a modular element of Gloo Platform. The service mesh allows for autonomous management of application-aware network tasks separate from the application, leading to improved observability, security, and dependability of distributed applications. Implementing a service mesh into your applications can simplify the application layer, provide greater insights into traffic, and enhance application security.

Red Hat Advanced Cluster Management for Kubernetes allows users to oversee clusters and applications through a centralized interface, complete with integrated security policies. By enhancing the capabilities of Red Hat OpenShift, it facilitates the deployment of applications, the management of multiple clusters, and the implementation of policies across numerous clusters at scale. This solution guarantees compliance, tracks usage, and maintains uniformity across deployments. Included with Red Hat OpenShift Platform Plus, it provides an extensive array of powerful tools designed to secure, protect, and manage applications effectively. Users can operate from any environment where Red Hat OpenShift is available and can manage any Kubernetes cluster within their ecosystem. The self-service provisioning feature accelerates application development pipelines, enabling swift deployment of both legacy and cloud-native applications across various distributed clusters. Additionally, self-service cluster deployment empowers IT departments by automating the application delivery process, allowing them to focus on higher-level strategic initiatives. As a result, organizations can achieve greater efficiency and agility in their IT operations.

Draftt is an innovative governance software designed to proactively manage tech stacks by continuously overseeing the lifecycle and configuration of every component across various environments, including clouds, workloads, and code. This solution empowers teams to stay ahead of potential technical debt and mitigates the risks associated with unforeseen end-of-life scenarios. Offering comprehensive visibility, Draftt features a consolidated control plane that visually organizes all technologies, their versions, dependencies, and Kubernetes clusters, effectively replacing outdated manual audits and static spreadsheets with a dynamic inventory and context. Utilizing secure, read-only integrations with cloud platforms and developer tools, it gathers lifecycle metadata, identifies version discrepancies, and uncovers compatibility issues early on. With its AI-enhanced prioritization and impact assessment capabilities, Draftt brings attention to upgrade risks by evaluating urgency, effort, and business significance, while also generating in-depth remediation plans customized to fit specific environments. Furthermore, it provides well-structured, step-by-step upgrade pathways, complete with prebuilt actions and automated workflows that can be seamlessly executed within the Draftt interface, thereby streamlining the upgrade process for teams. By integrating these features, Draftt not only simplifies governance but also enhances operational efficiency and reduces the likelihood of technical pitfalls.

dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.

Enhance your contemporary applications with VMware Tanzu Kubernetes Grid, enabling you to operate the same Kubernetes environment across data centers, public cloud, and edge computing, ensuring a seamless and secure experience for all development teams involved. Maintain proper workload isolation and security throughout your operations. Benefit from a fully integrated, easily upgradable Kubernetes runtime that comes with prevalidated components. Deploy and scale clusters without experiencing any downtime, ensuring that you can swiftly implement security updates. Utilize a certified Kubernetes distribution to run your containerized applications, supported by the extensive global Kubernetes community. Leverage your current data center tools and processes to provide developers with secure, self-service access to compliant Kubernetes clusters in your VMware private cloud, while also extending this consistent Kubernetes runtime to your public cloud and edge infrastructures. Streamline the management of extensive, multi-cluster Kubernetes environments to keep workloads isolated, and automate lifecycle management to minimize risks, allowing you to concentrate on more strategic initiatives moving forward. This holistic approach not only simplifies operations but also empowers your teams with the flexibility needed to innovate at pace.

Amazon EKS Anywhere is a recently introduced option for deploying Amazon EKS that simplifies the process of creating and managing Kubernetes clusters on-premises, whether on your dedicated virtual machines (VMs) or bare metal servers. This solution offers a comprehensive software package designed for the establishment and operation of Kubernetes clusters in local environments, accompanied by automation tools for effective cluster lifecycle management. EKS Anywhere ensures a uniform management experience across your data center, leveraging the capabilities of Amazon EKS Distro, which is the same Kubernetes version utilized by EKS on AWS. By using EKS Anywhere, you can avoid the intricacies involved in procuring or developing your own management tools to set up EKS Distro clusters, configure the necessary operating environment, perform software updates, and manage backup and recovery processes. It facilitates automated cluster management, helps cut down support expenses, and removes the need for multiple open-source or third-party tools for running Kubernetes clusters. Furthermore, EKS Anywhere comes with complete support from AWS, ensuring that users have access to reliable assistance whenever needed. This makes it an excellent choice for organizations looking to streamline their Kubernetes operations while maintaining control over their infrastructure.

Sangfor Kubernetes Engine (SKE) serves as a sophisticated container management solution that is founded on upstream Kubernetes and is seamlessly integrated into the Sangfor Hyper-Converged Infrastructure (HCI), managed via the Sangfor Cloud Platform. This platform delivers a cohesive environment tailored for the operation and management of both containers and virtual machines, ensuring simplicity, reliability, and security throughout the process. SKE is particularly advantageous for organizations looking to deploy modern containerized applications, shift towards microservices architectures, or optimize their existing virtual machine workloads. With SKE, users benefit from centralized management of accounts, permissions, monitoring, and alerts across all workloads. The platform enables the automation of production-ready Kubernetes cluster creation in as little as 15 minutes, which significantly reduces the need for manual operating system installations and configurations. Additionally, it provides an extensive array of pre-configured components that facilitate rapid application deployment, offer visualized monitoring, support diverse log formats, and include built-in high-performance load balancing. Moreover, the integration of these features empowers organizations to enhance their operational efficiency while maintaining a focus on security and performance.

DoiT is a global technology company that delivers a comprehensive cloud operations platform designed to optimize performance, scalability, and cost efficiency. Powered by proactive, industry-leading expertise, DoiT Cloud Intelligence is the only context-aware multicloud platform that turns insights into action. With deep specializations in Kubernetes, GenAI, CloudOps, and FinOps, we partner with AWS, Google Cloud, and Microsoft Azure to help over 4,000 businesses worldwide enhance cloud performance, reliability, and security. Whether managing complex multicloud environments or driving innovation, DoiT provides the intelligence and human expertise needed to maximize your cloud investment.

Introducing a self-service development platform tailored for your applications, databases, and various tasks. You can begin with a single workload and effortlessly expand to manage hundreds, utilizing either compute or GPUs. Enhance every phase from code push to production with customizable self-service workflows, pipelines, templates, and GitOps practices. Safely launch preview, staging, and production environments while benefiting from built-in observability tools, backups, restoration capabilities, and rollback options. Northflank integrates flawlessly with your preferred tools, supporting any technology stack you choose. Regardless of whether you operate on Northflank’s secure infrastructure or utilize your own cloud account, you will enjoy the same outstanding developer experience, alongside complete control over your data residency, deployment regions, security measures, and cloud costs. By harnessing Kubernetes as its operating system, Northflank provides the advantages of a cloud-native environment without the associated complexities. Whether you opt for Northflank’s straightforward cloud or connect to your GKE, EKS, AKS, or even bare-metal setups, you can achieve a managed platform experience within minutes, thus optimizing your development workflow. This flexibility ensures that your projects can scale efficiently while maintaining robust performance across diverse environments.

Mogenius offers an all-in-one platform that integrates visibility, observability, and automation for effective Kubernetes management. By connecting and visualizing your Kubernetes clusters and workloads, it ensures that the entire team has access to crucial insights. You can easily pinpoint misconfigurations within your workloads and take corrective measures directly through the mogenius interface. The platform streamlines Kubernetes operations with features like service catalogs, enabling developer self-service, and creating ephemeral environments. This self-service capability simplifies the deployment process for developers, allowing them to work more efficiently. Additionally, mogenius helps optimize resource allocation and prevents configuration drift through the use of standardized, automated workflows. By eliminating redundant tasks and promoting the reuse of resources with service catalogs, your team can enhance productivity. Gain complete visibility into your Kubernetes infrastructure and deploy a cloud-agnostic Kubernetes operator for a holistic view of your clusters and workloads. Furthermore, developers can quickly establish local and ephemeral testing environments that replicate the production setup in just a few clicks, ensuring a seamless development experience. Ultimately, mogenius empowers teams to manage their Kubernetes environments with greater ease and efficiency.

Launch production-ready Kubernetes clusters within just a few days and facilitate the swift onboarding of users and applications. Tackle the complexities of Kubernetes using a robust and user-friendly DevOps solution that minimizes friction among teams, fosters better collaboration, and increases overall productivity. With Nirmata's Kubernetes Policy Manager, you can ensure the appropriate security measures, compliance, and governance for Kubernetes, enabling you to scale operations smoothly. Manage all your Kubernetes clusters, policies, and applications seamlessly in a single platform, while optimizing operations through the DevSecOps Platform. Nirmata’s DevSecOps platform is designed to integrate effortlessly with various cloud providers such as EKS, AKS, GKE, OKE, and offers support for infrastructure solutions like VMware, Nutanix, and bare metal. This solution effectively addresses the operational challenges faced by enterprise DevOps teams, providing them with comprehensive management and governance tools tailored for Kubernetes environments. By implementing Nirmata, organizations can improve their workflow efficiency and streamline their Kubernetes operations.

CloudNatix has the capability to connect seamlessly to any infrastructure, whether it be in the cloud, a data center, or at the edge, and supports a variety of platforms including virtual machines, Kubernetes, and managed Kubernetes clusters. By consolidating your distributed resource pools into a cohesive planet-scale cluster, this service is delivered through a user-friendly SaaS model. Users benefit from a global dashboard that offers a unified perspective on costs and operational insights across various cloud and Kubernetes environments, such as AWS, EKS, Azure, AKS, Google Cloud, GKE, and more. This comprehensive view enables you to explore the intricacies of each resource, including specific instances and namespaces, across diverse regions, availability zones, and hypervisors. Additionally, CloudNatix facilitates a unified cost-attribution framework that spans multiple public, private, and hybrid clouds, as well as various Kubernetes clusters and namespaces. Furthermore, it automates the process of attributing costs to specific business units as you see fit, streamlining financial management within your organization. This level of integration and oversight empowers businesses to optimize resource utilization and make informed decisions regarding their cloud strategies.

You can immediately benefit from a powerful, yet simple to use Kubernetes backup service and cloud database backup service. It will backup your multi-cloud, multicluster, applications, and provide granular and cluster-level recovery, including cross-account and cross-cluster recovery. CloudCasa makes backup management easy for even developers. It offers a generous free service plan, with no credit card required. It is a great alternative for Velero. CloudCasa can be used as a SaaS solution. This means that you don't need to set up backup infrastructure, manage complex backup installations, or worry about security. You can set it and forget about it, so you won't have to worry about it. We automate and take care of all the hard work, including checking your security posture.

Velero is an open-source utility designed for the secure backup and restoration of Kubernetes cluster resources and persistent volumes, as well as for disaster recovery and migration tasks. It significantly shortens recovery time in instances of data corruption, service outages, or infrastructure failures. Additionally, it facilitates the portability of clusters by allowing easy migration of Kubernetes resources from one cluster to another. Velero includes essential data protection functionalities such as scheduled backups, retention policies, and customizable pre- or post-backup hooks for specific user-defined actions. Users can back up all resources and volumes within a cluster or selectively target certain parts using namespaces or label selectors. Moreover, it allows for the configuration of automated schedules that trigger backups at specified intervals. By enabling pre- and post-backup hooks, Velero supports custom operations to be executed before and after backups, enhancing its flexibility and user control. Released as an open-source project, Velero also offers community support available through its GitHub page, fostering collaboration and continuous improvement among users. This community-driven approach ensures that users can contribute to and benefit from ongoing enhancements in the tool's functionality.

Historically, integrating replicated storage into Kubernetes clusters has posed significant challenges for ITOps and DevOps teams, leading to a lack of support for persistent storage in many on-premises Kubernetes environments. Additionally, external storage solutions are often costly and lack portability. In contrast, Longhorn provides a user-friendly, easily deployable, and fully open-source option for cloud-native persistent block storage, eliminating the financial burdens associated with proprietary systems. Its features include built-in incremental snapshots and backup capabilities that ensure the safety of volume data both within and outside the Kubernetes ecosystem. Longhorn also streamlines the process of scheduling backups for persistent storage volumes through its intuitive and complimentary management interface. Unlike traditional external replication methods, which can take days to recover from a disk failure by re-replicating the entire dataset, Longhorn significantly reduces recovery time, thereby enhancing cluster performance and minimizing the risk of failure during critical periods. With Longhorn, organizations can achieve more reliable and efficient storage solutions for their Kubernetes deployments.

BotKube is an innovative messaging bot designed for the monitoring and troubleshooting of Kubernetes clusters, developed and supported by InfraCloud. This versatile tool seamlessly integrates with various messaging platforms such as Slack, Mattermost, and Microsoft Teams, enabling users to oversee their Kubernetes environments, address critical deployment issues, and receive best practice recommendations through checks on Kubernetes resources. By observing Kubernetes activities, BotKube promptly alerts the designated channel about any noteworthy events, such as an ImagePullBackOff error, ensuring timely awareness. Users can tailor the specific objects and event severity levels they wish to monitor from their Kubernetes clusters, with the flexibility to enable or disable notifications as needed. Furthermore, BotKube is capable of executing kubectl commands within the Kubernetes cluster without requiring access to Kubeconfig or the underlying infrastructure, enhancing security. With BotKube, you can easily troubleshoot your deployments, services, or any other aspects of your cluster directly from your messaging interface, fostering a more efficient workflow. The ability to receive instant updates and perform actions from a familiar messaging platform significantly streamlines the management of Kubernetes environments.

KubeSphere serves as a distributed operating system designed for managing cloud-native applications, utilizing Kubernetes as its core. Its architecture is modular, enabling the easy integration of third-party applications into its framework. KubeSphere stands out as a multi-tenant, enterprise-level, open-source platform for Kubernetes, equipped with comprehensive automated IT operations and efficient DevOps processes. The platform features a user-friendly wizard-driven web interface, which empowers businesses to enhance their Kubernetes environments with essential tools and capabilities necessary for effective enterprise strategies. Recognized as a CNCF-certified Kubernetes platform, it is entirely open-source and thrives on community contributions for ongoing enhancements. KubeSphere can be implemented on pre-existing Kubernetes clusters or Linux servers and offers options for both online and air-gapped installations. This unified platform effectively delivers a range of functionalities, including DevOps support, service mesh integration, observability, application oversight, multi-tenancy, as well as storage and network management solutions, making it a comprehensive choice for organizations looking to optimize their cloud-native operations. Furthermore, KubeSphere's flexibility allows teams to tailor their workflows to meet specific needs, fostering innovation and collaboration throughout the development process.

The Percona Kubernetes Opera for Percona XtraDB Cluster and Percona Server For MongoDB automates the creation of, alteration or deletion of members within your Percona XtraDB Cluster and Percona Serverfor MongoDB environments. It can be used for creating a Percona XtraDB Cluster, Percona Server For MongoDB replica set or scaling an existing environment. The Operator contains all required Kubernetes settings for a consistent Percona XtraDB cluster or Percona Server to MongoDB instance. The Percona Kubernetes Operators follow best practices in the configuration and setup of a Percona XtraDB cluster or Percona Server to MongoDB replica set. The Operator has many benefits, but the most important is to save time and provide a consistent, vetted environment.

IBM Spectrum LSF Suites serves as a comprehensive platform for managing workloads and scheduling jobs within distributed high-performance computing (HPC) environments. Users can leverage Terraform-based automation for the seamless provisioning and configuration of resources tailored to IBM Spectrum LSF clusters on IBM Cloud. This integrated solution enhances overall user productivity and optimizes hardware utilization while effectively lowering system management expenses, making it ideal for mission-critical HPC settings. Featuring a heterogeneous and highly scalable architecture, it accommodates both traditional high-performance computing tasks and high-throughput workloads. Furthermore, it is well-suited for big data applications, cognitive processing, GPU-based machine learning, and containerized workloads. With its dynamic HPC cloud capabilities, IBM Spectrum LSF Suites allows organizations to strategically allocate cloud resources according to workload demands, supporting all leading cloud service providers. By implementing advanced workload management strategies, including policy-driven scheduling that features GPU management and dynamic hybrid cloud capabilities, businesses can expand their capacity as needed. This flexibility ensures that companies can adapt to changing computational requirements while maintaining efficiency.

As the utilization of Kubernetes continues to increase, organizations are discovering the necessity of managing and deploying several clusters in order to support essential capabilities such as geo-redundancy, scalability, and fault isolation for their applications. Submariner enables your applications and services to operate seamlessly across various cloud providers, data centers, and geographical regions. To initiate this process, the Broker must be set up on a singular Kubernetes cluster. It is essential that the API server of this cluster is accessible to all other Kubernetes clusters that are linked through Submariner. This can either be a dedicated cluster or one of the already connected clusters. Once Submariner is installed on a cluster equipped with the appropriate credentials for the Broker, it facilitates the exchange of Cluster and Endpoint objects between clusters through mechanisms such as push, pull, and watching, thereby establishing connections and routes to other clusters. It's crucial that the worker node IP addresses on all connected clusters reside outside of the Pod and Service CIDR ranges. By ensuring these configurations, teams can maximize the benefits of multi-cluster setups.

Establish your Kubernetes infrastructure and utilize KubeGrid for the seamless deployment, monitoring, and optimization of potentially thousands of clusters. KubeGrid streamlines the complete lifecycle management of Kubernetes across both on-premises and cloud environments, allowing developers to effortlessly deploy, manage, and update numerous clusters. As a Platform as Code solution, KubeGrid enables you to declaratively specify all your Kubernetes needs in a code format, covering everything from your on-prem or cloud infrastructure to the specifics of clusters and autoscaling policies, with KubeGrid handling the deployment and management automatically. While most infrastructure-as-code solutions focus solely on provisioning, KubeGrid enhances the experience by automating Day 2 operations, including monitoring infrastructure, managing failovers for unhealthy nodes, and updating both clusters and their operating systems. Thanks to its innovative approach, Kubernetes excels in the automated provisioning of pods, ensuring efficient resource utilization across your infrastructure. By adopting KubeGrid, you transform the complexities of Kubernetes management into a streamlined and efficient process.

Kuma provides an enterprise service mesh that seamlessly operates across multiple clouds and clusters, whether on Kubernetes or virtual machines. With just a single command, users can deploy the service mesh and automatically connect to other services through its integrated service discovery features, which include Ingress resources and remote control planes. This solution is versatile enough to function in any environment, efficiently managing resources across multi-cluster, multi-cloud, and multi-platform settings. By leveraging native mesh policies, organizations can enhance their zero-trust and GDPR compliance initiatives, thereby boosting the performance and productivity of application teams. The architecture allows for the deployment of a singular control plane that can effectively scale horizontally to accommodate numerous data planes, or to support various clusters, including hybrid service meshes that integrate both Kubernetes and virtual machines. Furthermore, cross-zone communication is made easier with Envoy-based ingress deployments across both environments, coupled with a built-in DNS resolver for optimal service-to-service interactions. Built on the robust Envoy framework, Kuma also offers over 50 observability charts right out of the box, enabling the collection of metrics, traces, and logs for all Layer 4 to Layer 7 traffic, thereby providing comprehensive insights into service performance and health. This level of observability not only enhances troubleshooting but also contributes to a more resilient and reliable service architecture.

IBM Cloud® Kubernetes Service offers a certified and managed Kubernetes platform designed for the deployment and management of containerized applications on IBM Cloud®. This service includes features like intelligent scheduling, self-healing capabilities, and horizontal scaling, all while ensuring secure management of the necessary resources for rapid deployment, updating, and scaling of applications. By handling the master management, IBM Cloud Kubernetes Service liberates users from the responsibilities of overseeing the host operating system, the container runtime, and the updates for the Kubernetes version. This allows developers to focus more on building and innovating their applications rather than getting bogged down by infrastructure management. Furthermore, the service’s robust architecture promotes efficient resource utilization, enhancing overall performance and reliability.

Efficiently provision, manage, and scale your computing infrastructure across any cloud platform while potentially reducing your expenses by as much as 80%, all while upholding service level agreements and ensuring high availability. Elastigroup is a sophisticated cluster management software created to enhance both performance and cost efficiency. It empowers organizations of varying sizes and industries to effectively utilize Cloud Excess Capacity, enabling them to optimize their workloads and achieve savings of up to 90% on compute infrastructure costs. Utilizing advanced proprietary technology for price prediction, Elastigroup can reliably deploy resources to Spot Instances. By anticipating interruptions and fluctuations, the software proactively adjusts clusters to maintain seamless operations. Furthermore, Elastigroup effectively harnesses excess capacity from leading cloud providers, including EC2 Spot Instances from AWS, Low-priority VMs from Microsoft Azure, and Preemptible VMs from Google Cloud, all while minimizing risk and complexity. This results in straightforward orchestration and management that scales effortlessly, allowing businesses to focus on their core activities without the burden of cloud infrastructure challenges.

With just a few clicks, Porter allows you to deploy your applications directly into your personal cloud account. You can quickly begin your journey with Porter and enjoy the freedom to tailor your infrastructure as you grow. In moments, Porter can create a fully operational Kubernetes cluster, complete with essential supporting infrastructure like VPCs, load balancers, and image registries. Simply connect your Git repository and let Porter take care of the details. It will build your application using either Dockerfiles or Buildpacks and set up CI/CD pipelines with GitHub Actions, which you can modify later as needed. You have the power to allocate resources, introduce environment variables, and adjust networking settings—your Kubernetes cluster is entirely customizable. Additionally, Porter continuously monitors your cluster to guarantee optimal scalability and performance. This comprehensive solution makes managing your cloud applications both efficient and straightforward.