Business Software for Kubernetes

Generate secure, context-aware infrastructure as code (IaC) directly from application code without needing to modify that code. While we appreciate the benefits of infrastructure as code, there is certainly potential for enhancements. StackGen leverages the application’s existing code to produce IaC that is not only consistent and secure but also compliant with industry standards. This approach eliminates bottlenecks, reduces potential liabilities, and minimizes the risk of errors that often come from manual processes, allowing for a quicker time-to-market for your applications. By providing developers with a streamlined experience, they can focus on coding rather than having to become infrastructure specialists. Consistency, security, and policy compliance are integrated by default into the auto-generated IaC. The system generates context-aware IaC without requiring any changes to the original code, ensuring that it is properly supported and aligned with the principle of least-privileged access. There's no necessity to reconstruct your existing pipelines, as StackGen seamlessly integrates into your current workflows, bridging the gaps between teams. This empowers developers to automatically create IaC that adheres to your established provisioning checklist, enhancing overall efficiency and collaboration. Ultimately, this innovative approach not only accelerates development but also strengthens security protocols across the board.

Operant AI offers comprehensive protection for all layers of contemporary applications, spanning from infrastructure to APIs. With a straightforward deployment that takes only minutes, Operant ensures complete security visibility and runtime controls, effectively thwarting a variety of both common and critical cyber threats such as data exfiltration, data poisoning, zero-day vulnerabilities, lateral movement, cryptomining, prompt injection, and beyond. This is achieved with no need for instrumentation, no drift, and minimal disruption for Development, Security, and Operations teams. Furthermore, Operant's in-line runtime safeguarding of all data in use during every interaction, from infrastructure to APIs, elevates the defense mechanisms for your cloud-native applications while requiring zero instrumentation, no alterations to application code, and no additional integrations, thus streamlining the security process significantly.

Enhance your speed and security with Upwind’s cutting-edge cloud security solution. By integrating CSPM with vulnerability scanning and runtime detection & response, your security team can effectively focus on addressing the most significant risks. Upwind stands out as a revolutionary platform designed to tackle the major challenges of cloud security with ease. Utilize immediate data insights to identify genuine risks and determine the most urgent issues that need resolution. Equip your Development, Security, and Operations teams with agile, up-to-the-minute information to boost productivity and quicken response times. With Upwind's innovative behavior-based Cloud Detection and Response, you can proactively counteract emerging threats and prevent cloud-based attacks effectively. In doing so, organizations can ensure a robust security posture in the ever-evolving digital landscape.

Introducing AI and Kubernetes that prioritize security from the ground up, regardless of your infrastructure's location. By establishing a robust security boundary around Kubernetes workloads, we eliminate the risks associated with container escapes. Our approach simplifies the execution of AI and machine learning tasks through advanced GPU device virtualization, driver isolation, and virtual GPUs (vGPUs). Edera Krata heralds a transformative shift in isolation technology, paving the way for a new era focused on security. Edera redefines both security and performance for AI and GPU applications, while ensuring seamless integration with Kubernetes environments. Each container operates with its own dedicated Linux kernel, thereby removing the vulnerabilities linked to shared kernel states among containers. This advancement effectively ends the prevalence of container escapes, reduces the need for costly security tools, and alleviates the burden of endlessly sifting through logs. With just a few lines of YAML, you can launch Edera Protect and get started effortlessly. Designed in Rust to enhance memory safety, this solution has no negative impact on performance. It represents a secure-by-design Kubernetes framework that effectively neutralizes threats before they can take action, transforming the landscape of cloud-native security.

Utilize the Apono cloud-native access governance platform to enhance both the speed and security of your operations through self-service, secure, and scalable access designed for contemporary enterprises in the cloud. Gain insights into who has access to specific resources with contextual awareness. Assess and identify access risks by utilizing enriched identity data and cloud resource information from your environment. Implement access guardrails effectively at scale. Apono intelligently proposes dynamic policies tailored to your organizational requirements, simplifying the cloud access lifecycle and strengthening control over cloud-privileged access. By leveraging Apono’s AI capabilities, you can enhance your environmental access controls by identifying high-risk, unused, over-provisioned, and shadow access. Furthermore, eliminate unnecessary standing access to thwart potential lateral movements within your cloud infrastructure. Organizations can also establish robust authentication, authorization, and audit measures for these critical accounts, significantly mitigating the risk of insider threats, data breaches, and unauthorized access while fostering a more secure cloud environment for all users. This proactive approach to access governance not only streamlines operations but also builds trust among stakeholders by ensuring compliance and security.

Manage and orchestrate applications seamlessly on a Kubernetes platform that is fully managed, utilizing a centralized SaaS approach for overseeing distributed applications through a unified interface and advanced observability features. Streamline operations by handling deployments uniformly across on-premises, cloud, and edge environments. Experience effortless management and scaling of applications across various Kubernetes clusters, whether at customer locations or within the F5 Distributed Cloud Regional Edge, all through a single Kubernetes-compatible API that simplifies multi-cluster oversight. You can deploy, deliver, and secure applications across different sites as if they were all part of one cohesive "virtual" location. Furthermore, ensure that distributed applications operate with consistent, production-grade Kubernetes, regardless of their deployment sites, which can range from private and public clouds to edge environments. Enhance security with a zero trust approach at the Kubernetes Gateway, extending ingress services backed by WAAP, service policy management, and comprehensive network and application firewall protections. This approach not only secures your applications but also fosters a more resilient and adaptable infrastructure.

Netris sets itself apart from conventional network automation solutions by delivering a cloud provider-like approach to network automation and abstraction that caters to both multi-tenant public clouds and private cloud infrastructures. You can oversee resilient networks on your own hardware at any scale, facilitating the provision of private, public, and GPU cloud services seamlessly. By simply connecting your hardware, you can allow Netris software to manage the complexities for you. Netris offers a cohesive control plane that supports a range of networking needs for diverse workloads in multi-tenant cloud settings, from traditional networking gear to AI/ML-optimized NVIDIA Spectrum-X GPU network fabrics. It empowers users to implement crucial cloud networking elements, including Virtual Private Clouds (VPCs), internet gateways, NAT gateways, network access control, elastic load balancers, DHCP, and more, while ensuring compatibility with bare metal, virtual machines, Docker, and Kubernetes workloads. With Netris, organizations can effortlessly scale their network operations while maintaining high levels of performance and reliability.

Fuzzball propels innovation among researchers and scientists by removing the complexities associated with infrastructure setup and management. It enhances the design and execution of high-performance computing (HPC) workloads, making the process more efficient. Featuring an intuitive graphical user interface, users can easily design, modify, and run HPC jobs. Additionally, it offers extensive control and automation of all HPC operations through a command-line interface. With automated data handling and comprehensive compliance logs, users can ensure secure data management. Fuzzball seamlessly integrates with GPUs and offers storage solutions both on-premises and in the cloud. Its human-readable, portable workflow files can be executed across various environments. CIQ’s Fuzzball redefines traditional HPC by implementing an API-first, container-optimized architecture. Operating on Kubernetes, it guarantees the security, performance, stability, and convenience that modern software and infrastructure demand. Furthermore, Fuzzball not only abstracts the underlying infrastructure but also automates the orchestration of intricate workflows, fostering improved efficiency and collaboration among teams. This innovative approach ultimately transforms how researchers and scientists tackle computational challenges.

Actian Ingres is a highly dependable SQL-standard transactional database known for its exceptional reliability and performance. Now, it has evolved into a hybrid database that seamlessly integrates transactional and analytical processing, boasting the remarkable X100 analytics engine. By supporting both row-based and columnar storage formats, Ingres enables organizations to conduct transaction processing and operational analytics within a single platform efficiently. This solution is recognized as the most reliable transactional database in the industry, offering a low total cost of ownership alongside round-the-clock global support and outstanding customer satisfaction. With a solid history of success, it underpins thousands of enterprises that manage billions of transactions across years of updates and migrations, ensuring that businesses can rely on it for their critical operations. Its continuous innovation and commitment to excellence solidify its position as a leader in the database market.

Businesses recognize that leveraging data is crucial for improving their understanding of customers, optimizing processes, and addressing challenges. Introducing InformationGrid, a robust and secure solution designed for the effective sharing and aggregation of data. With InformationGrid, healthcare providers, including hospitals and general practitioners, can collaborate to enhance medication prescriptions through better data sharing. Whether you have a well-defined data strategy or require assistance in shaping one, we are dedicated to helping you implement your data strategy effectively. Our software-as-a-service platform is tailored to facilitate secure and cost-effective data sharing and aggregation. To ensure rapid delivery of value, we can quickly develop applications capable of managing large datasets by utilizing cloud-native methodologies. This approach not only allows you to experience immediate advantages from your data but also prepares you to harness AI technologies to further propel your business forward. Embrace the potential of your data with us and transform the way you operate.

A comprehensive and secure business data layer that delivers immediate insights for both business and data teams is essential. Stratio's generative AI data fabric encompasses the entire data management lifecycle, including data discovery, governance, utilization, and eventual disposal. In many organizations, data is scattered across various divisions, with different applications employed for distinct tasks. Stratio harnesses the power of AI to locate and access all your data, regardless of whether it resides on-premises or in the cloud. This ensures that your organization handles data in an appropriate manner. If you cannot visualize your data as soon as it is generated, you risk falling behind your customers' needs. Conventional data infrastructures often require hours to process customer data, hindering responsiveness. Stratio, however, enables real-time access to 100% of your data without necessitating its relocation, allowing you to respond swiftly while maintaining crucial context. Ultimately, by integrating operational and informational aspects within a collaborative platform, organizations can transition to leveraging instant extended AI capabilities for enhanced decision-making and agility. Embracing such a unified approach will empower businesses to thrive in a data-driven landscape.

The Ark evidence management system streamlines the entire process of receiving, tracking, and securing evidence throughout its entire lifecycle. As a web-based platform, it eliminates the need for an application and provides user-friendly functionalities, including customizable templates that facilitate efficient metadata collection and seamless uploads of external files, making it well-suited for managing diverse types of evidence. Ark is compatible with leading Digital Evidence Management Suites (DEMS) and can work seamlessly with Davidhorn’s backend or other preferred systems. It can be deployed in both cloud and on-premises settings, supporting environments like Microsoft, Linux, or Kubernetes. Prioritizing security, Ark adheres to regulations such as MoPi, PACE, and GDPR, and incorporates features like digital fingerprinting and comprehensive audit trails. Additionally, Ark equips users with advanced tools designed to enhance efficiency, including speech-to-text AI that can generate draft transcripts in over 25 languages, while also enabling the option to livestream interviews, ultimately leading to reduced travel expenses. This innovative system not only improves evidence management but also helps organizations maintain high standards of accountability and transparency.

Enhance and launch AI models using Simplismart's ultra-fast inference engine. Seamlessly connect with major cloud platforms like AWS, Azure, GCP, and others for straightforward, scalable, and budget-friendly deployment options. Easily import open-source models from widely-used online repositories or utilize your personalized custom model. You can opt to utilize your own cloud resources or allow Simplismart to manage your model hosting. With Simplismart, you can go beyond just deploying AI models; you have the capability to train, deploy, and monitor any machine learning model, achieving improved inference speeds while minimizing costs. Import any dataset for quick fine-tuning of both open-source and custom models. Efficiently conduct multiple training experiments in parallel to enhance your workflow, and deploy any model on our endpoints or within your own VPC or on-premises to experience superior performance at reduced costs. The process of streamlined and user-friendly deployment is now achievable. You can also track GPU usage and monitor all your node clusters from a single dashboard, enabling you to identify any resource limitations or model inefficiencies promptly. This comprehensive approach to AI model management ensures that you can maximize your operational efficiency and effectiveness.

Enhanced high-definition APM visibility through real user monitoring, synthetic monitoring, and OpenTelemetry offers a solution that is scalable, user-friendly, and simplifies the integration of insights from end users, applications, networks, and the cloud-native space. The rise of microservices within containerized environments on dynamic cloud infrastructures has resulted in a highly transient and distributed landscape at an unprecedented scale. Traditional methods of enhancing APM, which rely on sampled transactions, partial traces, and aggregate metrics, have become ineffective, as legacy APM solutions struggle to identify the reasons behind slow or stalling critical business applications. The Riverbed platform provides cohesive visibility across the contemporary application landscape, ensuring ease of deployment and management, while facilitating quicker resolution of even the most challenging performance issues. Riverbed APM is thoroughly designed for the cloud-native environment, offering extensive monitoring and observability for transactions that operate on the latest cloud and application infrastructures, ultimately enhancing operational efficiency and user experience. This comprehensive approach not only addresses current performance challenges but also positions organizations to adapt to future technological advancements seamlessly.

A test execution is defined by a combination of a testing tool, a repository of tests, and specific arguments or parameters. You can utilize the out-of-the-box workflows provided by Testkube for various testing tools or create a personalized workflow tailored to your needs. It's possible to group related or unrelated test execution workflows into comprehensive suites for better organization. Additionally, you can establish a searchable repository filled with test executions that are ready to run. Proactive triggers allow you to initiate test executions in response to CI/CD events, on a manual basis, or according to a predefined schedule. Furthermore, you can set up your system to respond to Kubernetes infrastructure events, like deployments, to automatically launch test executions. With Kubernetes’s inherent scalability, you have the option to increase the number of concurrent test executions to meet demand. You can also take advantage of advanced scaling options to enhance load tests, allowing you to expand from a single execution to as many as 1,000. By parallelizing functional tests, you can significantly reduce the time required for completion. All logs and artifacts generated during the execution of test tools are stored in a centralized repository, making them easily accessible. Moreover, the system includes features for quickly identifying errors by highlighting keywords associated with failures in the logs. In addition, utilizing various filtering options can enhance your ability to sift through logs efficiently, ensuring a smoother debugging process.

Examine the causes of failures right after the testing phase concludes. Create straightforward and easy-to-read reports for your teams. Utilize machine learning-driven auto-analyzers to delve into the reasons behind the failures. Consolidate test outcomes from different platforms, frameworks, and programming languages while delivering actionable insights. Employing machine learning algorithms helps to uncover patterns in the test data, identify the underlying causes of failures, and forecast future testing outcomes. Support the manual examination of test logs and emerging failure patterns from the latest test runs. Enable automated decision-making processes for release pipelines by adhering to defined testing criteria and outcomes. Present test results in a clear format that facilitates monitoring of trends, recognition of patterns, generation of insights, and informed business choices. Regularly assess your product's health and automate release decisions with Quality Gates to enhance efficiency and reliability. This approach not only streamlines the testing process but also significantly contributes to improving overall product quality.

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.

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.

In summary, OKD represents a highly opinionated version of Kubernetes. At its core, Kubernetes consists of various software and architectural patterns designed to manage applications on a large scale. While we incorporate some features directly into Kubernetes through modifications, the majority of our enhancements come from "preinstalling" a wide array of software components known as Operators into the deployed cluster. These Operators manage the over 100 essential elements of our platform, including OS upgrades, web consoles, monitoring tools, and image-building functionalities. OKD is versatile and suitable for deployment across various environments, from cloud infrastructures to on-premise hardware and edge computing scenarios. The installation process is automated for certain platforms, like AWS, while also allowing for customization in other environments, such as bare metal or lab settings. OKD embraces best practices in development and technology, making it an excellent platform for technologists and students alike to explore, innovate, and engage with the broader cloud ecosystem. Furthermore, as an open-source project, it encourages community contributions and collaboration, fostering a rich environment for learning and growth.

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.

Ludwig serves as a low-code platform specifically designed for the development of tailored AI models, including large language models (LLMs) and various deep neural networks. With Ludwig, creating custom models becomes a straightforward task; you only need a simple declarative YAML configuration file to train an advanced LLM using your own data. It offers comprehensive support for learning across multiple tasks and modalities. The framework includes thorough configuration validation to identify invalid parameter combinations and avert potential runtime errors. Engineered for scalability and performance, it features automatic batch size determination, distributed training capabilities (including DDP and DeepSpeed), parameter-efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and the ability to handle larger-than-memory datasets. Users enjoy expert-level control, allowing them to manage every aspect of their models, including activation functions. Additionally, Ludwig facilitates hyperparameter optimization, offers insights into explainability, and provides detailed metric visualizations. Its modular and extensible architecture enables users to experiment with various model designs, tasks, features, and modalities with minimal adjustments in the configuration, making it feel like a set of building blocks for deep learning innovations. Ultimately, Ludwig empowers developers to push the boundaries of AI model creation while maintaining ease of use.

Our cloud solutions deliver equivalent quality and quantity while costing less than half of traditional options, making them an intelligent choice for businesses aiming to enhance their financial efficiency. If your CI/CD processes are being hampered by exorbitant expenses, allow your developers to experience the lightning-fast capabilities of SonicInfra, enabling them to roll out features and resolve bugs with greater speed. Your engineers can leverage CI/CD without the burden of spending extensive time fine-tuning auto-scaling, as no specialized cloud engineer is required to manage costs effectively. Our infrastructure is optimized for high-volume computing needs, like CI/CD, where achieving high throughput is prioritized over minimizing latency. SonicInfra can seamlessly integrate with your CI/CD provider using just a single line of code, facilitating an effortless shift away from costly cloud settings. With our team's extensive experience across various tools and platforms, we are ready to assist you in maximizing your CI/CD efficiency. We are committed to ensuring that your transition is not only smooth but also beneficial to your overall operational performance.

Revamp banking functions across various sectors, including retail, corporate, small and medium enterprises, Islamic banking, microfinance, and distinct financial entities. Oracle FLEXCUBE empowers banks to initiate their digital transformation journeys, ensuring they remain relevant, competitive, and compliant amidst the rapidly changing landscape of the banking sector. It enables the launch and management of a broad spectrum of customized products and services, facilitating efficient growth and expansion. Banks can swiftly adjust their operations to accommodate shifting customer expectations, business needs, and regulatory demands. Furthermore, the platform allows for seamless collaboration within ecosystems to create and enhance innovative financial products and services. It ensures operational efficiency at a large scale while providing flexibility in deployment and operations. The onboarding process for new customers is made simple, and personalized product offerings can be provided effortlessly. Additionally, it accelerates the decision-making process for lending products, reducing the time required for approvals and decisions. Moreover, the corporate lending lifecycle is streamlined, covering everything from origination to the management of credit, collateral, syndication, and beyond, thereby enhancing overall operational effectiveness. This comprehensive approach ultimately positions banks to thrive in an increasingly competitive market.

Prevasio is a cloud security platform powered by AI that delivers extensive visibility, automatic threat detection, and strong defense for cloud-based applications. It facilitates the automatic discovery and mapping of cloud infrastructure, pinpointing resources and illustrating their role in powering applications, thereby offering unmatched visibility along with actionable insights. The platform’s agentless Cloud-Native Application Protection Platform (CNAPP) covers the entire CI/CD pipeline through to runtime, ensuring a seamless and effective approach to security management. By assessing risks according to their potential impact on business applications and their severity, Prevasio enables organizations to concentrate on the most critical vulnerabilities. Furthermore, it enhances cloud compliance by continuously monitoring assets, ensuring compliance with industry standards and regulations. Additionally, Prevasio's Infrastructure-as-Code (IaC) scanning allows for the early identification of vulnerabilities during the development cycle, safeguarding cloud infrastructure prior to its construction. This proactive approach not only streamlines security processes but also fosters a culture of security-first development within organizations.

Google Cloud Deploy is a comprehensive continuous delivery service that streamlines the deployment of applications to various platforms such as Google Kubernetes Engine (GKE), Cloud Run, and Anthos. Users can easily create delivery pipelines and oversee the flow of releases through different environments, including testing, staging, and production. The service provides convenient one-click promotion and rollback options for releases, which can be accessed through the web console, command-line interface, or API. As a fully managed service, it eliminates the need for users to set up any infrastructure and dynamically scales to enhance both cost-efficiency and performance. Moreover, it integrates smoothly with Google Cloud's Identity and Access Management (IAM), Cloud Logging, and Cloud Audit Logs, creating a cohesive platform for monitoring and managing release candidates throughout an organization. It also allows for seamless connections with widely-used DevOps tools, such as continuous integration systems and ticketing platforms, enhancing collaboration and efficiency within development teams. Overall, Google Cloud Deploy is designed to facilitate a more effective and agile deployment process, making it an invaluable resource for teams looking to optimize their application delivery workflows.