Business Software for Kubernetes

Ternary stands out as the first native FinOps tool designed specifically for optimizing cloud costs within Google Cloud. It empowers users to make informed financial choices, ensuring a culture of accountability, collaboration, and trust between finance and engineering departments. FinOps serves as a framework for overseeing the fluctuating expenses associated with cloud services, incorporating a blend of systems, best practices, and cultural shifts that maximize the value derived from every dollar allocated to the cloud. Ternary is equipped to assist organizations at any phase of their FinOps journey, developing tools that bridge the gap between finance and engineering through features rooted in FinOps principles. This innovative platform provides essential visibility and context, fostering collaboration between teams, while its workflows are designed to promote accountability. By enabling organizations to easily monitor, prioritize, and track cost optimizations to completion, Ternary enhances overall financial management efficiency across the board. As businesses increasingly rely on cloud solutions, Ternary’s role in facilitating effective financial practices becomes ever more critical.

Your development team is currently investing excessive time in manually establishing their infrastructure, which can be streamlined by Okteto, allowing developers to concentrate on innovation and delivering value. Whether you're working with simple applications or intricate systems comprising over 30 microservices, Okteto provides immediate environments that facilitate quick, consistent, and dependable development processes. With Okteto, you can easily create shareable preview environments linked to every pull request, ensuring your entire organization stays informed and engaged in collaboration. Once you embrace the capabilities of Okteto, you'll discover that the benefits extend beyond engineering, as these environments can also enhance sales efforts, customer feedback, and various other functions. If you're embarking on an exciting project and wish to eliminate the hassle of managing development infrastructure, now is the perfect time to begin exploring Okteto. Remote development environments enable your team to accelerate their workflows significantly, and we believe there is a tailored Okteto solution that meets the unique needs of your organization. By leveraging Okteto, your team can shift their focus from setup to strategy, paving the way for greater productivity and innovation.

The Kubeflow initiative aims to simplify the process of deploying machine learning workflows on Kubernetes, ensuring they are both portable and scalable. Rather than duplicating existing services, our focus is on offering an easy-to-use platform for implementing top-tier open-source ML systems across various infrastructures. Kubeflow is designed to operate seamlessly wherever Kubernetes is running. It features a specialized TensorFlow training job operator that facilitates the training of machine learning models, particularly excelling in managing distributed TensorFlow training tasks. Users can fine-tune the training controller to utilize either CPUs or GPUs, adapting it to different cluster configurations. In addition, Kubeflow provides functionalities to create and oversee interactive Jupyter notebooks, allowing for tailored deployments and resource allocation specific to data science tasks. You can test and refine your workflows locally before transitioning them to a cloud environment whenever you are prepared. This flexibility empowers data scientists to iterate efficiently, ensuring that their models are robust and ready for production.

A comprehensive platform designed for reproducible and scalable applications in Machine Learning and Deep Learning. Explore the array of features and products that support the leading platform for managing data science workflows today. Polyaxon offers an engaging workspace equipped with notebooks, tensorboards, visualizations, and dashboards. It facilitates team collaboration, allowing members to share, compare, and analyze experiments and their outcomes effortlessly. With built-in version control, you can achieve reproducible results for both code and experiments. Polyaxon can be deployed in various environments, whether in the cloud, on-premises, or in hybrid setups, ranging from a single laptop to container management systems or Kubernetes. Additionally, you can easily adjust resources by spinning up or down, increasing the number of nodes, adding GPUs, and expanding storage capabilities as needed. This flexibility ensures that your data science projects can scale effectively to meet growing demands.

Empower your team by providing them with coding-optional tools that enhance their capabilities. By allowing both developers and non-developers to build APIs and integrations through a user-friendly, browser-based interface, you can significantly expand your team's potential. The inclusion of automated testing and coverage reporting right from the start accelerates your ability to confidently launch new PortX APIs and integrations. Rest easy knowing that your code is robust enough to handle the demands of your users. You won't need a large team of engineers to maintain a reliable infrastructure, as this enterprise-ready integration platform combines the features of an enterprise integration manager with those of an API management system. Additionally, we take care of the management aspect for you! With a streamlined, single-screen design, you can create comprehensive integrations effortlessly. Organize your endpoints, routes, and maps seamlessly without writing a single line of code. Visual tools make it easier to manage APIs, design workflows, and monitor the health and performance of your entire ecosystem, ensuring a smoother operational experience. With such a platform, collaboration and efficiency can thrive within your organization.

Organizations frequently struggle to navigate the swift expansion and accessibility of numerous on-premise and cloud storage solutions within their operations. This often leads to a convoluted environment that is increasingly hard to secure and frequently incurs high costs due to vendor lock-in. Many outdated systems are haphazardly combined, and the hidden expenses associated with vendor lock-in can be substantial. Efficiently and securely utilizing public cloud resources presents its own challenges. A customer-hosted global scale-out software platform exists that empowers enterprises to integrate, safeguard, and bring together multiple on-prem and in-cloud storage providers. It provides a seamless experience through unified virtual namespaces and standard APIs available to enterprise users around the globe. By implementing StorageFabric, organizations can break free from costly vendor dependencies and the intricacies of integration while addressing the significant security risks associated with cloud computing. In addition, StorageFabric serves as a high-performance, low-friction data layer designed to unify, protect, migrate, and commoditize various storage solutions effectively. This innovative approach not only simplifies management but also enhances overall data accessibility and security across the enterprise landscape.

Innovative businesses opt for Tintri IntelliFlash due to its unparalleled storage options and user-friendly management capabilities, which come with a comprehensive licensing structure that requires minimal expertise. By consolidating all applications onto a singular unified storage platform, organizations can enhance operational efficiency and achieve significant savings in total cost of ownership while benefiting from simultaneous multimedia and multi-protocol functionality. The integration of AI-powered analytics and self-managing workload optimization streamlines IT operations, resulting in a superior experience for users. Moreover, IntelliFlash's cloud-based intelligent analytics gathers extensive data from connected systems, encompassing factors such as capacity utilization, configuration specifics, and overall system health and performance metrics. This AI-enhanced data examination not only uncovers issues but also discerns patterns that can forecast future trends, empowering businesses to make informed decisions and optimize resource utilization effectively. Ultimately, embracing Tintri IntelliFlash positions companies to thrive in a competitive landscape by leveraging cutting-edge technology and insights to drive growth.

The InfiniBox® enterprise storage solution offers performance that surpasses all-flash systems, along with multi-petabyte capacity and unwavering 100% availability, accommodating a diverse array of mixed application workloads. It includes features such as infinite zero-impact snapshots, reliable active/active configurations, synchronous and asynchronous replication, and a flexible, software-defined quality of service, all ensuring robust reliability and data security. By utilizing InfiniBox, enterprise IT departments and managed service providers can not only meet but exceed their service level goals while significantly reducing both the costs and complexities associated with storage management. Customers of Infinidat frequently achieve remarkable consolidation by migrating entire rows of outdated enterprise storage systems into a single InfiniBox solution, resulting in a dramatic 10:1 decrease in both network port expenses and floor tile usage. Furthermore, InfiniBox effectively curtails the proliferation of storage arrays and filers, enabling operations and capacity planning teams to take advantage of the efficiencies offered by large-scale, unified data center storage pools. This innovative approach ultimately streamlines operational processes and enhances overall efficiency.

Microservices architecture enables efficient streaming and batch data processing specifically designed for platforms like Cloud Foundry and Kubernetes. By utilizing Spring Cloud Data Flow, users can effectively design intricate topologies for their data pipelines, which feature Spring Boot applications developed with the Spring Cloud Stream or Spring Cloud Task frameworks. This powerful tool caters to a variety of data processing needs, encompassing areas such as ETL, data import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server leverages Spring Cloud Deployer to facilitate the deployment of these data pipelines, which consist of Spring Cloud Stream or Spring Cloud Task applications, onto contemporary infrastructures like Cloud Foundry and Kubernetes. Additionally, a curated selection of pre-built starter applications for streaming and batch tasks supports diverse data integration and processing scenarios, aiding users in their learning and experimentation endeavors. Furthermore, developers have the flexibility to create custom stream and task applications tailored to specific middleware or data services, all while adhering to the user-friendly Spring Boot programming model. This adaptability makes Spring Cloud Data Flow a valuable asset for organizations looking to optimize their data workflows.

Embark on a seamless cloud-native journey with NexClipper! Our managed Prometheus service simplifies the observability process for Kubernetes and hybrid environments, allowing you to relax as we handle the complexities. Enjoy a hassle-free experience with our migration and management solutions tailored for cloud-native ecosystems. While we prioritize simplicity, we never compromise on security or scalability, ensuring that your solution evolves alongside your business needs. With all the essential features at your fingertips, you can focus on growth without the burden of intricate setups. Take advantage of a managed service that leverages the strengths of the open-source community, removing the necessity for custom architectures. NexClipper serves as your gateway to an expansive Prometheus ecosystem, backed by proven solutions and our own innovative projects. Utilize the technology you are familiar with, and let us take care of the heavy lifting for you, creating an efficient and effective monitoring experience!

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.

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.

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.

OpenFaaS® simplifies the deployment of serverless functions and existing applications onto Kubernetes, allowing users to utilize Docker to prevent vendor lock-in. This platform is versatile, enabling operation on any public or private cloud while supporting the development of microservices and functions in a variety of programming languages, including legacy code and binaries. It offers automatic scaling in response to demand or can scale down to zero when not in use. Users have the flexibility to work on their laptops, utilize on-premises hardware, or set up a cloud cluster. With Kubernetes handling the complexities, you can create a scalable and fault-tolerant, event-driven serverless architecture for your software projects. OpenFaaS allows you to start experimenting within just 60 seconds and to write and deploy your initial Python function in approximately 10 to 15 minutes. Following that, the OpenFaaS workshop provides a comprehensive series of self-paced labs that equip you with essential skills and knowledge about functions and their applications. Additionally, the platform fosters an ecosystem that encourages sharing, reusing, and collaborating on functions, while also minimizing boilerplate code through a template store that simplifies coding. This collaborative environment not only enhances productivity but also enriches the overall development experience.

Oxeye is specifically created to identify weak points in the code of distributed cloud-native applications. By integrating advanced SAST, DAST, IAST, and SCA functionalities, we enable comprehensive risk assessment in both Development and Runtime environments. Tailored for developers and AppSec teams alike, Oxeye facilitates a shift-left approach to security, streamlining the development process, minimizing obstacles, and eradicating vulnerabilities. Our solution is known for providing dependable outcomes with exceptional accuracy. Oxeye thoroughly examines code vulnerabilities within microservices, offering a risk assessment that is contextualized and enhanced by data from infrastructure configurations. With Oxeye, developers can efficiently monitor and rectify vulnerabilities in their applications. We provide transparency in the vulnerability management process, including visibility into the steps needed to reproduce issues and pinpointing the specific lines of code affected. Furthermore, Oxeye seamlessly integrates as a Daemonset through a single deployment, requiring no modifications to existing code. This ensures that security remains unobtrusive while enhancing the safety of your cloud-native applications. Ultimately, our goal is to empower teams to prioritize security without compromising their development speed.

JHipster serves as a comprehensive development platform designed for the rapid creation, development, and deployment of contemporary web applications and microservice architectures. It accommodates a variety of frontend technologies, such as Angular, React, and Vue, and also extends support to mobile applications using Ionic and React Native. On the backend, JHipster offers compatibility with Spring Boot (utilizing either Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET frameworks. When it comes to deployment, the platform adheres to cloud-native principles via Docker and Kubernetes, providing deployment options for various environments including AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. The primary objective is to produce a comprehensive and modern web application or microservice architecture equipped with a high-performance and resilient server-side stack, showcasing excellent test coverage. The user interface is designed to be sleek, modern, and mobile-first, utilizing Angular, React, or Vue along with Bootstrap for styling. Moreover, the platform incorporates a powerful workflow for application building through tools like Webpack and Maven or Gradle, ensuring a resilient microservice architecture that remains focused on cloud-native methodologies. This holistic approach ensures that developers have all the resources they need to create scalable and efficient applications.

Developers and businesses have the opportunity to create Quantum-resistant smart contracts, decentralized applications (DApps), DeFi solutions, NFTs, tokens, and Metaverse projects using the QAN blockchain platform in any programming language they prefer. QANplatform stands out as the first Hyperpolyglot Smart Contract platform, allowing developers to write in various programming languages while also earning rewards for producing high-quality, reusable code. The threat posed by quantum computing is significant, and current blockchain technologies are unable to provide adequate protection against it. In contrast, QAN has been designed from the ground up to be resilient to these threats, ensuring the safety of your future assets. Quantum-resistant algorithms, which are referred to as post-quantum, quantum-secure, or quantum-safe, are cryptographic methods specifically formulated to counteract potential attacks from quantum computers. Embracing these advanced algorithms is essential for securing digital assets in an evolving technological landscape.

Bionic adopts an agentless strategy to gather all your application artifacts, offering a level of application insight that surpasses what your CSPM tool can deliver. It consistently monitors and compiles a comprehensive inventory of your applications, services, message brokers, and databases. By integrating seamlessly into CI/CD pipelines, Bionic identifies significant risks within the application layer and code, enabling teams to assess security posture during production. Additionally, Bionic conducts thorough code analysis, checking for critical CVEs while delivering profound insights into the potential impact of attack surfaces. The platform prioritizes code vulnerabilities with consideration to the overall architecture of your applications. Furthermore, you can establish tailored policies to rank architectural risks according to your organization's specific security requirements, ensuring that security measures align with business needs and regulatory standards. This comprehensive approach empowers teams to proactively address vulnerabilities and enhance the overall security framework of their applications.

Manage and connect applications seamlessly across various clusters, cloud environments, and data centers. Facilitate application connectivity across diverse infrastructures using a unified management platform. Incorporate traditional workloads into your cloud-native application framework effectively. Establish tenants within your organization to implement detailed access controls and editing permissions for teams sharing the infrastructure. Keep track of the change history for services and shared resources from the very beginning. Streamline traffic management across failure domains, ensuring your customers remain unaware of any disruptions. TSB operates at the application edge, functioning at cluster ingress and between workloads in both Kubernetes and traditional computing environments. Edge and ingress gateways efficiently route and balance application traffic across multiple clusters and clouds, while the mesh framework manages service connectivity. A centralized management interface oversees connectivity, security, and visibility for your entire application network, ensuring comprehensive oversight and control. This robust system not only simplifies operations but also enhances overall application performance and reliability.

We assist our clients in attaining exceptional efficiency and cost reductions for their private cloud or public cloud storage services. Through our innovative software-defined block storage solution, Lightbits, businesses can effortlessly expand their operations, enhance IT workflows, and cut expenses—all at the speed of local flash technology. This solution breaks the traditional ties between computing and storage, allowing for independent resource allocation that brings the flexibility and efficacy of cloud computing to on-premises environments. Our technology ensures low latency and exceptional performance while maintaining high availability for distributed databases and cloud-native applications, including SQL, NoSQL, and in-memory systems. As data centers continue to expand, a significant challenge remains: applications and services operating at scale must remain stateful during their migration within the data center to ensure that services remain accessible and efficient, even amid frequent failures. This adaptability is essential for maintaining operational stability and optimizing resource utilization in an ever-evolving digital landscape.

Control Plane is a multicloud-native, modern app platform (PaaS), built on Kubernetes. It enables you build, deploy, manage, and run microservices faster and easier with ultra high availability. Control Plane is different from other app platforms. Multicloud and multi-region: Your workloads can run in any combination of the computing power and geographical regions of AWS and GCP, Azure, and Private Clouds. Your app can be run in any region of the cloud you choose, and as long as one cloud is active, your endpoint is also available. Flexible: Microservices can access ANY service on ANY cloud (BigQuery, AD on Azure, and SQS on AWS) as if they were native without needing credentials. Fast: The cloud-native ops stack is fast for secrets management, metrics and logging, software defined VPN, geo-intelligentDN and other functions. It's integrated, preconfigured and easy to use. Efficient: Cloud consumption elastically optimized for the exact resources needed.

Visualize your microservices from your CDN to your databases, with external dependencies. Automately measure baselines and receive recommendations for SLIs or SLOs. Measure and understand the impact across microservices. Every change creates ripples in your connected system. Login API was affected by a security group's change? Last9 makes it easy for you to find the 'last change' that caused an incident. Last9 is a modern reliability platform. It leverages your existing observation tricks and allows you to build and enforce mental model on top of your data. This will help you cover infrastructure, service, product metrics with minimal effort. We love reliability and make it fun and embarrassingly simple to run systems at scale. Last9 uses the knowledge graph to automatically generate maps of all known infrastructure and service components.

The CLI tool integrates Git, Docker, Helm, and Kubernetes with any CI system to facilitate CI/CD and Giterminism. By leveraging established technologies, you can create efficient, reliable, and cohesive CI/CD pipelines. Werf simplifies the process of getting started, allowing users to implement best practices without the need to start from scratch. Not only does Werf build and deploy applications, but it also ensures that the current state of Kubernetes is continually synchronized with any changes made in Git. This tool pioneers Giterminism, using Git as a definitive source of truth and making the entire delivery process predictable and repeatable. With Werf, users have two deployment options: either converge the application from a Git commit into Kubernetes or publish the application from a Git commit to a container registry as a bundle before deploying it to Kubernetes. The setup for Werf is straightforward, requiring minimal configuration, making it accessible even to those without a background in DevOps or SRE. To assist users further, a variety of guides are available to help you deploy your application in Kubernetes quickly and effectively, enhancing the overall user experience.

A comprehensive continuous delivery platform designed for various application types across multiple cloud environments, enabling engineers to deploy with increased speed and assurance. This GitOps tool facilitates deployment operations through pull requests on Git, while its deployment pipeline interface clearly illustrates ongoing processes. Each deployment benefits from a dedicated log viewer, providing clarity on individual deployment activities. Users receive real-time updates on the state of applications, along with deployment notifications sent to Slack and webhook endpoints. Insights into delivery performance are readily available, complemented by automated deployment analysis utilizing metrics, logs, and emitted requests. In the event of a failure during analysis or a pipeline stage, the system automatically reverts to the last stable state. Additionally, it promptly identifies configuration drift to alert users and showcase any modifications. A new deployment is automatically initiated upon the occurrence of specified events, such as a new container image being pushed or a Helm chart being published. The platform supports single sign-on and role-based access control, ensuring that credentials remain secure and are not exposed outside the cluster or stored in the control plane. This robust solution not only streamlines the deployment process but also enhances overall operational efficiency.

Kyverno serves as a policy management engine tailored for Kubernetes environments. It enables users to handle policies as Kubernetes resources without the need for a new programming language, allowing for the use of standard tools such as kubectl, Git, and Kustomize to oversee policy management. With Kyverno, users can validate, mutate, and generate Kubernetes resources while also safeguarding the supply chain of OCI images. The CLI tool provided by Kyverno is particularly useful for testing policies and validating resources within a CI/CD pipeline. Additionally, Kyverno empowers cluster administrators to independently manage configurations specific to different environments, while promoting the enforcement of best practices throughout their clusters. Beyond just managing configurations, Kyverno can also examine existing workloads for adherence to best practices or actively enforce compliance by blocking or altering non-conforming API requests. It is capable of using admission controls to prevent the deployment of non-compliant resources and can report any policy violations discovered during these operations. This functionality enhances the overall security and reliability of Kubernetes deployments.