Kubernetes Integrations

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.

Flux is an open and extensible suite of continuous and progressive delivery solutions designed for Kubernetes. The newest iteration of Flux introduces numerous enhancements that increase its flexibility and adaptability. As a project incubated by the CNCF, Flux, along with Flagger, facilitates application deployments utilizing strategies such as canaries, feature flags, and A/B rollouts. It possesses the capability to manage any Kubernetes resource seamlessly. Built-in features allow for effective infrastructure and workload dependency management. Through automatic reconciliation, Flux enables continuous deployment (CD) and, with Flagger's assistance, supports progressive delivery (PD). Additionally, Flux can automate updates by pushing changes back to Git, including container image updates through image scanning and patching processes. It integrates smoothly with various Git providers, including GitHub, GitLab, and Bitbucket, and can also utilize s3-compatible buckets as a source. Furthermore, it is compatible with all major container registries and CI workflow providers. With support for Kustomize, Helm, RBAC, and policy-driven validation mechanisms such as OPA, Kyverno, and admission controllers, Flux ensures that deployment processes are streamlined and efficient. This combination of features not only simplifies management but also enhances operational reliability in Kubernetes environments.

Atlantis operates as a self-hosted solution, ensuring that your credentials remain within your own infrastructure. It functions as either a Golang binary or a Docker image and is compatible with deployment on various platforms such as VMs, Kubernetes, and Fargate. This tool listens for webhooks from popular version control systems including GitHub, GitLab, Bitbucket, and Azure DevOps. It executes Terraform commands remotely and provides feedback with their outputs. Employed by one of the leading companies globally, it effectively manages over 600 Terraform repositories and supports a team of 300 developers. Having been in production for more than two years, each pull request now features a comprehensive log detailing the infrastructure changes made, the contributors involved, and the approvals granted. Atlantis includes the option to mandate approvals for every production change, facilitating compliance with audits without disrupting your workflows. Developers can initiate Terraform pull requests without needing to expose their credentials, while operators can set requirements for approvals before permitting application changes. This ensures that all alterations are applied prior to merging into the master branch, enhancing both accountability and oversight in the development process. Additionally, the system's detailed change logs promote transparency and traceability, making it an invaluable tool for managing infrastructure as code.

Streamline the ongoing delivery of changes across your environments using GitOps, while generating previews on pull requests to speed up your workflow. You don't need to possess extensive expertise in Kubernetes, containers, or Tekton, as Jenkins X will efficiently manage Tekton pipelines for your projects that fully support continuous integration (CI) and continuous delivery (CD) through GitOps. Each team is allocated a distinct set of environments, and Jenkins X takes care of managing these environments along with the promotion of new application versions between them using GitOps and pull requests. Additionally, Jenkins X creates preview environments automatically for your pull requests, enabling you to receive immediate feedback prior to merging changes into the main branch. It also provides automated comments on your commits, issues, and pull requests, offering insights as code becomes ready for preview, transitions to different environments, or when pull requests are autonomously generated to update versions. With Jenkins X, teams can enhance their collaboration and maintain seamless workflows throughout the development process.

KPT is a toolchain focused on packages that offers a WYSIWYG configuration authoring, automation, and delivery experience, thereby streamlining the management of Kubernetes platforms and KRM-based infrastructure at scale by treating declarative configurations as independent data, distinct from the code that processes them. Many users of Kubernetes typically rely on traditional imperative graphical user interfaces, command-line utilities like kubectl, or automation methods such as operators that directly interact with Kubernetes APIs, while others opt for declarative configuration tools including Helm, Terraform, cdk8s, among numerous other options. At smaller scales, the choice of tools often comes down to personal preference and what users are accustomed to. However, as organizations grow the number of their Kubernetes development and production clusters, it becomes increasingly challenging to create and enforce uniform configurations and security policies across a wider environment, leading to potential inconsistencies. Consequently, KPT addresses these challenges by providing a more structured and efficient approach to managing configurations within Kubernetes ecosystems.

Garden is a cloud-based platform that speeds up your development, testing, and CI/CD workflows. You can quickly build realistic environments, iterate while coding, or run your tests efficiently from anywhere. From source to finish, one tool, one configuration. All your environments, services and database migrations will be handled by the same set of commands. Garden allows you to quickly and easily perform end-to-end testing in any environment. Your laptop was not designed to run large distributed systems. Garden can remotely build, test, and run your services, but only at the speed of local development. Automately tear down environments and delete Kubernetes resource based on inactivity, or according to a schedule. Expert support, white glove onboarding, and personalized training. We are here to assist you every step of your journey.

NCM Self-Service, previously known as Calm, enhances the management, deployment, and scalability of applications in hybrid cloud environments by offering self-service options, automation, and a centralized governance model based on roles. With a simple click, users can access self-service capabilities paired with centralized IT governance that spans both private and public cloud infrastructures. This solution allows for comprehensive automation in the processes of application provisioning, scaling, and overall management. Users can deploy applications while maintaining visibility across different cloud settings, whether they are private or public. Additionally, blueprints can be easily published to end-users via the Nutanix Marketplace and can be developed through a user interface or Python code, facilitating self-service provisioning for intricate applications. The system enables users to provision, configure, scale, upgrade, and remove applications seamlessly across various cloud environments. Starting with the automation of routine lifecycle functions can lead to the creation of complex blueprints tailored to specific needs. By automating hybrid cloud architecture provisioning, organizations can efficiently manage multi-tiered and distributed applications from a unified control plane, ensuring streamlined operations across all cloud environments. This comprehensive approach ultimately empowers teams to achieve greater agility and efficiency in their cloud strategies.

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.

The Cloud Privilege Broker equips your team with essential resources to oversee and visualize user entitlements throughout a multi-cloud infrastructure. It features a centralized, cloud-agnostic dashboard that presents crucial metrics for easy access. This solution ensures continuous identification of users, roles, policies, and endpoints across all compatible cloud platforms. With its single interface, it offers detailed policy suggestions for IaaS and PaaS options, enhancing management efficiency. BeyondTrust's Cloud Privilege Broker (CPB) serves as a comprehensive tool for managing entitlements and permissions, allowing customers to mitigate cloud access risks in both hybrid and multi-cloud settings all from a unified platform. Each cloud service provider offers its own access management solutions, but these tools are limited to their respective environments and do not extend to others. Consequently, teams often find themselves switching between different consoles, struggling to handle permissions for various cloud providers, each with its unique policy application methods. This fragmented approach can lead to inefficiencies and increased risk, highlighting the need for a consolidated management solution.

Safeguard cloud-native applications while minimizing the potential attack surface by identifying vulnerabilities, concealed malware, sensitive information, compliance breaches, and additional risks throughout both the build and runtime phases, thereby guaranteeing that only compliant containers are deployed in production. Seamlessly incorporate security measures early in the continuous integration and continuous delivery (CI/CD) process, automating protections that enable DevSecOps teams to launch production-ready applications without hindering build timelines. With the confidence that applications are secure, developers can focus on building and deploying their projects. Leverage a unified platform that provides automated discovery, runtime protection, continuous threat detection and response for cloud workloads and containers, as well as managed cloud threat hunting. This comprehensive solution aids in uncovering hidden malware, embedded secrets, configuration errors, and other vulnerabilities in your images, ultimately contributing to a significantly reduced attack surface and enhanced security posture. Empower your team to innovate while maintaining the highest security standards.

CloudGuard Cloud Security Posture Management is an integral component of the CloudGuard Cloud Native Security platform that streamlines governance across various multi-cloud assets and services, encompassing the visualization and evaluation of security posture, the identification of misconfigurations, and the enforcement of optimal security practices along with compliance standards. It allows users to oversee compliance posture and perform assessments relevant to over 50 compliance frameworks and more than 2,400 security rules. Users can swiftly identify and resolve misconfigurations and compliance challenges while automatically applying security best practices. Additionally, CloudGuard now offers a feature called Intelligence at no extra cost for all CSPM clients, which leverages machine learning and threat research to provide insights into account activities. This tool aids in effectively identifying anomalies in account activities for both users and entities, enhancing overall security monitoring capabilities. By utilizing these advanced features, organizations can significantly strengthen their cloud security management.

Achieving seamless visibility across varied multi-cloud environments through a unified interface is essential. This approach minimizes the risk of cloud security misconfigurations that can lead to data exposure and compliance breaches. By leveraging machine learning, organizations can maintain a proactive security posture, enabling them to detect anomalies more effectively. As businesses increasingly migrate to the cloud, they face evolving threats that complicate their cybersecurity efforts. Concurrently, security teams must transition from being viewed as obstacles to becoming facilitators of business growth. Gain insights from experienced professionals who provide practical examples on balancing rapid cloud adoption with robust security measures. Additionally, implementing cloud-native governance for microsegmentation policies through cloud-native firewalls and security mechanisms is crucial. This includes orchestrating responses to compliance failures while managing the governance of the desired-state security policies to ensure comprehensive protection. Ultimately, a strategic approach to cloud security can empower organizations to thrive in a dynamic digital landscape.

Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.

Opal is a cutting-edge security platform designed to help organizations implement least privilege principles while introducing innovative methods for teams to enhance their productivity. We advocate for access that is decentralized, self-service, and seamlessly integrated with existing technologies utilized by your team. By eliminating bottlenecks, we empower teams to delegate access requests to the individuals who possess the most relevant context, resulting in quicker and more informed decisions. With intelligent automation, Opal takes care of the entire access process—granting permissions when they're crucial, sending out automated reminders, and revoking access when it’s no longer necessary. Transparency is key; it’s essential to have clarity regarding who approves access, who holds permissions, the status of requests, and other vital details to avoid the confusion often caused by miscommunication. Many organizations often provide excessive access with a coarse approach that lacks precision and typically lasts indefinitely. Additionally, the majority of companies rely on cumbersome and inconsistent methods to manage just-in-time access, which can hinder operational efficiency. By streamlining this process, Opal ensures organizations can maintain security while empowering their teams to work effectively.

Open-source solutions for Kubernetes enable efficient workflow management, cluster administration, and effective GitOps practices. These Kubernetes-native workflow engines allow for the implementation of both Directed Acyclic Graph (DAG) and step-based workflows, promoting a declarative approach to continuous delivery alongside a comprehensive user interface. They simplify advanced deployment strategies, such as Canary and Blue-Green, to streamline the process. Argo Workflows stands out as an open-source, container-native engine specifically designed for orchestrating parallel jobs within Kubernetes environments, implemented as a Custom Resource Definition (CRD). Users can design complex, multi-step workflows by arranging tasks sequentially or representing their dependencies through a graphical model. This capability enables the execution of demanding computational tasks, such as machine learning or data processing, significantly faster when utilizing Argo Workflows on Kubernetes. Moreover, CI/CD pipelines can be executed natively on Kubernetes, eliminating the need for complicated configurations typically associated with traditional software development tools. Built specifically for container environments, these tools avoid the burdens and constraints that come with legacy virtual machine and server-based systems, paving the way for more efficient operational practices. This makes Argo Workflows an essential component for modern cloud-native development strategies.

Kuma is an open-source control plane designed for service mesh that provides essential features such as security, observability, and routing capabilities. It is built on the Envoy proxy and serves as a contemporary control plane for microservices and service mesh, compatible with both Kubernetes and virtual machines, allowing for multiple meshes within a single cluster. Its built-in architecture supports L4 and L7 policies to facilitate zero trust security, traffic reliability, observability, and routing with minimal effort. Setting up Kuma is a straightforward process that can be accomplished in just three simple steps. With Envoy proxy integrated, Kuma offers intuitive policies that enhance service connectivity, ensuring secure and observable interactions between applications, services, and even databases. This powerful tool enables the creation of modern service and application connectivity across diverse platforms, cloud environments, and architectures. Additionally, Kuma seamlessly accommodates contemporary Kubernetes setups alongside virtual machine workloads within the same cluster and provides robust multi-cloud and multi-cluster connectivity to meet the needs of the entire organization effectively. By adopting Kuma, teams can streamline their service management and improve overall operational efficiency.

Outline your cloud-native infrastructure and manage it as a systematic approach. Create a configuration for your service mesh alongside the deployment of workloads. Implement smart canary strategies and performance profiles while managing the service mesh pattern. Evaluate your service mesh setup based on deployment and operational best practices utilizing Meshery's configuration validator. Check the compliance of your service mesh with the Service Mesh Interface (SMI) standards. Enable dynamic loading and management of custom WebAssembly filters within Envoy-based service meshes. Service mesh adapters are responsible for provisioning, configuration, and management of their associated service meshes. By adhering to these guidelines, you can ensure a robust and efficient service mesh architecture.

Calisti offers robust security, observability, and traffic management solutions tailored for microservices and cloud-native applications, enabling administrators to seamlessly switch between real-time and historical data views. It facilitates the configuration of Service Level Objectives (SLOs), monitoring burn rates, error budgets, and compliance, while automatically scaling resources through GraphQL alerts based on SLO burn rates. Additionally, Calisti efficiently manages microservices deployed on both containers and virtual machines, supporting a gradual migration from VMs to containers. By applying policies uniformly, it reduces management overhead while ensuring that application Service Level Objectives are consistently met across Kubernetes and virtual machines. Furthermore, with Istio releasing updates every three months, Calisti incorporates its own Istio Operator to streamline lifecycle management, including features for canary deployments of the platform. This comprehensive approach not only enhances operational efficiency but also adapts to evolving technological advancements in the cloud-native ecosystem.

Our tailored content management system is specifically designed for digital branding and e-commerce landscapes. It allows users to craft visually appealing websites, landing pages, and online stores effortlessly. Content management is streamlined, enabling swift handling of texts, banners, photo galleries, forms, blogs, and social media feeds. This system encompasses all essential content types necessary for building comprehensive business websites. With just a few clicks, users can easily drag and drop texts, banners, and contact forms onto their pages. A standout feature is the ability to create uniquely structured content collections such as blogs, job postings, and event announcements. Developed from the ground up with a cutting-edge technology stack, the software prioritizes security, performance, scalability, extensibility, and dependability. Its API-first architecture includes multiple microservices that can be flexibly scaled to meet varying demands. Furthermore, data and user authentication can be securely exchanged with external applications via Open-API or through a custom identity provider, ensuring seamless integration and safety. This makes it an ideal choice for businesses looking to enhance their online presence effectively.

OpenStack serves as a cloud operating system that manages extensive collections of compute, storage, and networking resources across a datacenter, all facilitated through APIs that utilize unified authentication methods. It also features a dashboard that enables administrators to oversee operations while allowing users to allocate resources via a web interface. In addition to basic infrastructure-as-a-service capabilities, various components offer orchestration, fault management, and service management, among other features, to guarantee the high availability of applications utilized by users. OpenStack is modular, consisting of various services that allow for the flexible integration of components based on specific requirements. The OpenStack map provides a comprehensive overview of the ecosystem, illustrating how these services interconnect and collaborate effectively. This modular approach not only enhances customization but also paves the way for seamless scalability within the cloud infrastructure.

The landscape of software deployment has become increasingly complicated due to Kubernetes, AWS, and various observability tools. Diego provides a streamlined solution to ease this burden. By automating the transition from code to cloud, Diego enables quicker software delivery: - Develop reliably on a robust cloud infrastructure, including ArgoCD, Kubernetes, and Prometheus. - Utilize fully operational environments and pipelines with zero configuration needed. - Significantly reduces months of DevOps efforts and shortens development cycles. With Diego, you have all the essential tools to deploy containerized applications that are secure, scalable, and resilient in a timely manner, enhancing overall productivity and efficiency.

The TDX360 platform automates the entire booking lifecycle, from initial inquiry to final entry of travel accounts ledger entries. Automated end-to-end processes include batch processing, monitoring queues, customer communication via AI chatbots, automated documents, and reports for all stages. Our API integration platform and price formulation tools can help you increase revenue and expand your distribution reach. You can use multiple channels, including call centers, B2B and B2C, to implement a 360-degree selling strategy. TDX360 is a complete back-office system that can handle the most complex and challenging businesses in the travel and tourism industry. It also offers a full-fledged sales platform and distribution platform. Smart caching techniques and scalable architecture in TDX360 dramatically increase the speed with which search results are delivered.

Isovalent Cilium Enterprise delivers comprehensive solutions for cloud-native networking, security, and observability, leveraging the power of eBPF to enhance your cloud infrastructure. It facilitates the connection, security, and monitoring of applications across diverse multi-cluster and multi-cloud environments. This robust Container Network Interface (CNI) offers extensive scalability alongside high-performance load balancing and sophisticated network policy management. By shifting the focus of security to process behavior rather than merely packet header analysis, it redefines security protocols. Open source principles are fundamental to Isovalent's philosophy, emphasizing innovation and commitment to the values upheld by open source communities. Interested individuals can arrange a customized live demonstration with an expert in Isovalent Cilium Enterprise and consult with the sales team to evaluate a deployment tailored for enterprise needs. Additionally, users are encouraged to explore interactive labs in a sandbox setting that promote advanced application monitoring alongside features like runtime security, transparent encryption, compliance monitoring, and seamless integration with CI/CD and GitOps practices. Embracing such technologies not only enhances operational efficiency but also strengthens overall security capabilities.

Empower both developers and operations teams with the self-service capabilities and automation they crave, while maintaining an optimal balance of standardization and governance that the organization necessitates. Manage and define configurations centrally using Git for clusters that include security policies and software enhancements like service mesh, ingress controllers, monitoring, logging, and backup and recovery solutions. The management of blueprints and the lifecycle of add-ons can be seamlessly implemented for both new and existing clusters from a central point. Additionally, blueprints can be shared among various teams, ensuring centralized oversight of the add-ons utilized throughout the organization. In dynamic environments that demand rapid development cycles, users can transition from a Git push to an updated application on managed clusters in mere seconds, achieving this over 100 times daily. This approach is especially advantageous for development settings where changes are made with high frequency, thus fostering a more agile workflow. By streamlining these processes, organizations can significantly enhance their operational efficiency and responsiveness.

Kata Containers is software licensed under Apache 2 that features two primary components: the Kata agent and the Kata Containerd shim v2 runtime. Additionally, it includes a Linux kernel along with versions of QEMU, Cloud Hypervisor, and Firecracker hypervisors. Combining the speed and efficiency of containers with the enhanced security benefits of virtual machines, Kata Containers seamlessly integrates with container management systems, including widely used orchestration platforms like Docker and Kubernetes (k8s). Currently, it is designed to support Linux for both host and guest environments. For hosts, detailed installation guides are available for various popular distributions. Furthermore, the OSBuilder tool offers ready-to-use support for Clear Linux, Fedora, and CentOS 7 rootfs images, while also allowing users to create custom guest images tailored to their needs. This flexibility makes Kata Containers an appealing choice for developers seeking the best of both worlds in container and virtualization technology.

SeaCat is a comprehensive cyber-security and data privacy platform designed specifically for mobile and IoT applications, ensuring that users can build and operate their apps without encountering any cyber-security incidents. Developed by a team of experts, SeaCat includes all essential features for robust cyber-security and data privacy, enabling a seamless deployment process. With SeaCat, users can enhance their security levels immediately without the need for any custom development work. Importantly, this platform prioritizes user experience, eliminating the need for complicated configurations or procedures. SeaCat incorporates state-of-the-art security measures, including biometric authentication and hardware security modules, making it a modern choice for developers. The platform comprises three key components: the SeaCat SDK, which integrates into mobile or IoT applications; the SeaCat Gateway, which is installed in the demilitarized zone (DMZ) in front of backend servers; and the SeaCat PKI service, which facilitates enrollment, access, and identity management. By utilizing SeaCat, users can confidently protect their applications while focusing on delivering a smooth user experience.

Transform your Kubernetes autoscaling from a reactive approach to a proactive one with PredictKube, enabling you to initiate autoscaling processes ahead of anticipated load increases through our advanced AI predictions. By leveraging data over a two-week period, our AI model generates accurate forecasts that facilitate timely autoscaling decisions. The innovative predictive KEDA scaler, known as PredictKube, streamlines the autoscaling process, reducing the need for tedious manual configurations and enhancing overall performance. Crafted using cutting-edge Kubernetes and AI technologies, our KEDA scaler allows you to input data for more than a week and achieve proactive autoscaling with a forward-looking capacity of up to six hours based on AI-derived insights. The optimal scaling moments are identified by our trained AI, which meticulously examines your historical data and can incorporate various custom and public business metrics that influence traffic fluctuations. Furthermore, we offer free API access, ensuring that all users can utilize essential features for effective autoscaling. This combination of predictive capabilities and ease of use is designed to empower your Kubernetes management and enhance system efficiency.

Worldr provides robust protection for the data you share through Microsoft Teams, guarding it against external threats and preventing unauthorized organizations from accessing your most critical digital information. It is versatile enough to operate in both cloud and on-premise environments, and its streamlined architecture can be implemented within minutes, accommodating organizations of any scale. By maintaining complete ownership of your data, you ensure that no third party, including Microsoft, has access to it. All messages, user information, and metadata are securely stored in a database that features a transparent encryption layer, with encryption keys securely managed in Hashicorp Vault. You have the flexibility to store your data in any location worldwide, adhering to compliance and regulatory standards while fulfilling legal requirements. Additionally, Worldr ensures that you meet industry-specific regulations regarding data transfer and processing, helping you comply with the mandates set by various nations to uphold data sovereignty effectively. This comprehensive approach not only enhances security but also builds trust with your stakeholders by demonstrating a commitment to data protection.