Business Software for Red Hat OpenShift

Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.

SAS Intelligent Decisioning empowers organizations to optimize their interactions with customers, partners, suppliers, and employees by facilitating well-informed decision-making. It allows for the delivery of relevant, real-time decisions based on business rules and advanced analytics, accommodating a vast array of use cases. Before implementation, users can easily test these decisions to confirm they will yield the desired outcomes. The platform includes strong governance features that ensure decisions are comprehensible and trustworthy throughout the organization. It can efficiently manage high volumes of data and decisions thanks to a cloud-based architecture that adapts to varying demands. Additionally, it supports decision-making at the edge and in-stream integration with IoT devices, enhancing its versatility. Users can effortlessly create and adjust decision-making processes, whether by utilizing a user-friendly drag-and-drop interface or by writing custom code. Decisions can be defined by exploring centralized repositories for data, models, and business rules, allowing users to leverage existing resources effectively. This comprehensive approach ensures that organizations can remain agile and responsive in a fast-paced business environment.

SAS Visual Statistics allows for collaborative data exploration among multiple users, enabling them to interactively develop and refine predictive models. Data scientists and statisticians can leverage the most suitable analytical techniques to act on insights at a detailed level. Consequently, you will discover insights at remarkable speeds, uncovering new opportunities for revenue growth. The platform facilitates the construction and fine-tuning of models aimed at specific demographics or segments while simultaneously running various scenarios. This capability encourages users to pose numerous what-if questions to enhance outcomes. Additionally, results can be operationalized through automatically generated score code. Users are empowered to visually manipulate data by adding or adjusting variables, eliminating outliers, and more. Changes can be instantly assessed for their impact on the model's predictive accuracy, allowing for swift adjustments. Data science teams enjoy the ultimate flexibility by working in their preferred programming languages, maximizing their expertise. Ultimately, SAS Visual Statistics integrates all analytical resources, making it a comprehensive solution for data-driven decision-making. It fosters an environment where innovation can thrive, pushing the boundaries of what data analysis can achieve.

SAS® Viya® offers a robust and scalable analytics platform that is both efficient and easy to implement, allowing organizations to address a variety of business challenges. The insights generated automatically help in pinpointing the most frequently used variables across all models, highlighting key variables selected along with evaluation outcomes for each model. With the integration of natural language generation, project summaries are produced in straightforward language, which simplifies the interpretation of reports for users. Moreover, members of the analytics team can enhance the insights report with project notes, promoting better communication and teamwork. SAS further enables the integration of open source code within analyses, allowing users to utilize open source algorithms effortlessly in its platform. This flexibility encourages collaboration throughout your organization, as users are free to program in their preferred language. Additionally, you can leverage SAS Deep Learning with Python (DLPy), an open-source package available on GitHub, to expand your analytical capabilities even further. By using these tools, businesses can significantly enhance their data-driven decision-making processes.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

An entirely automated DevOps platform designed for the seamless distribution of reliable software releases from development to production. Expedite the onboarding of DevOps initiatives by managing users, resources, and permissions to enhance deployment velocity. Confidently implement updates by proactively detecting open-source vulnerabilities and ensuring compliance with licensing regulations. Maintain uninterrupted operations throughout your DevOps process with High Availability and active/active clustering tailored for enterprises. Seamlessly manage your DevOps ecosystem using pre-built native integrations and those from third-party providers. Fully equipped for enterprise use, it offers flexibility in deployment options, including on-premises, cloud, multi-cloud, or hybrid solutions that can scale alongside your organization. Enhance the speed, dependability, and security of software updates and device management for IoT applications on a large scale. Initiate new DevOps projects within minutes while easily integrating team members, managing resources, and establishing storage limits, enabling quicker coding and collaboration. This comprehensive platform empowers your team to focus on innovation without the constraints of traditional deployment challenges.

The NGINX Service Mesh, which is always available for free, transitions effortlessly from open source projects to a robust, secure, and scalable enterprise-grade solution. With NGINX Service Mesh, you can effectively manage your Kubernetes environment, utilizing a cohesive data plane for both ingress and egress, all through a singular configuration. The standout feature of the NGINX Service Mesh is its fully integrated, high-performance data plane, designed to harness the capabilities of NGINX Plus in managing highly available and scalable containerized ecosystems. This data plane delivers unmatched enterprise-level traffic management, performance, and scalability, outshining other sidecar solutions in the market. It incorporates essential features such as seamless load balancing, reverse proxying, traffic routing, identity management, and encryption, which are crucial for deploying production-grade service meshes. Additionally, when used in conjunction with the NGINX Plus-based version of the NGINX Ingress Controller, it creates a unified data plane that simplifies management through a single configuration, enhancing both efficiency and control. Ultimately, this combination empowers organizations to achieve higher performance and reliability in their service mesh deployments.

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

A contemporary application security solution that effortlessly integrates within DevOps frameworks, enabling the delivery of secure applications from inception to end-user. The current application environment has evolved significantly, with modern applications consisting of microservices that operate in containers, interact through APIs, and are deployed using automated CI/CD pipelines. It is essential for DevOps teams to incorporate security measures approved by the security team throughout distributed systems without compromising release speed or system performance. NGINX App Protect serves as an effective security solution tailored for modern applications, functioning as both a robust WAF and a defense against application-level DoS attacks, ultimately facilitating the secure delivery of applications from their initial code stage to the final customer. It integrates seamlessly with NGINX Plus and NGINX Ingress Controller, providing strong security controls that safeguard against a wide range of sophisticated threats and evasive attacks. This solution minimizes complexity and reduces tool sprawl while supporting the development of modern applications. By employing NGINX App Protect, organizations can create, secure, and manage adaptive applications that not only lower costs but also enhance operational efficiency and provide improved protection for users against emerging threats. Ultimately, this empowers teams to focus more on innovation and less on security concerns.

Optimize and simplify the management of Kubernetes (north-south) network traffic to ensure reliable, consistent performance at scale, all while maintaining the speed of your applications. Employ advanced application-centric configurations by utilizing role-based access control (RBAC) alongside self-service options to establish security guardrails, allowing your teams to manage their applications with both security and agility. This approach fosters multi-tenancy and reusability while offering simpler configurations and additional benefits. With a native, type-safe, and indented configuration style, you can streamline functionalities such as circuit breaking, advanced routing, header manipulation, mTLS authentication, and WAF. Furthermore, if you're currently utilizing NGINX, the NGINX Ingress resources facilitate a seamless transition of your existing configurations from other environments, enhancing your overall operational efficiency. This not only simplifies your network management but also empowers your development teams to innovate faster.

Distributed AI represents a computing approach that eliminates the necessity of transferring large data sets, enabling data analysis directly at its origin. Developed by IBM Research, the Distributed AI APIs consist of a suite of RESTful web services equipped with data and AI algorithms tailored for AI applications in hybrid cloud, edge, and distributed computing scenarios. Each API within the Distributed AI framework tackles the unique challenges associated with deploying AI technologies in such environments. Notably, these APIs do not concentrate on fundamental aspects of establishing and implementing AI workflows, such as model training or serving. Instead, developers can utilize their preferred open-source libraries like TensorFlow or PyTorch for these tasks. Afterward, you can encapsulate your application, which includes the entire AI pipeline, into containers for deployment at various distributed sites. Additionally, leveraging container orchestration tools like Kubernetes or OpenShift can greatly enhance the automation of the deployment process, ensuring efficiency and scalability in managing distributed AI applications. This innovative approach ultimately streamlines the integration of AI into diverse infrastructures, fostering smarter solutions.

Red Hat® Data Grid is a robust, in-memory distributed NoSQL database solution designed for high-performance applications. By enabling your applications to access, process, and analyze data at lightning-fast in-memory speeds, it ensures an exceptional user experience. With its elastic scalability and constant availability, users can quickly retrieve information through efficient, low-latency data processing that leverages RAM and parallel execution across distributed nodes. The system achieves linear scalability by partitioning and distributing data among cluster nodes, while also providing high availability through data replication. Fault tolerance is ensured via cross-datacenter geo-replication and clustering, making recovery from disasters seamless. Furthermore, the platform offers development flexibility and boosts productivity with its versatile and functionally rich NoSQL capabilities. Comprehensive data security features, including encryption and role-based access, are also included. Notably, the release of Data Grid 7.3.10 brings important security enhancements to address a known CVE. It is crucial for users to upgrade any existing Data Grid 7.3 installations to version 7.3.10 promptly to maintain security and performance standards. Regular updates ensure that the system remains resilient and up-to-date with the latest technological advancements.

PerfectScale offers valuable insights that enhance stability and minimize waste, delivering extensive visibility and data-driven intelligence across sprawling distributed systems. By monitoring usage trends and configuration changes over time, we equip DevOps and SRE teams with essential data to optimize their Kubernetes environments, ensuring they can consistently address demand. Our platform removes the burden of manual optimization efforts, autonomously managing your cloud expenses while maintaining a stable and resilient environment. By continuously adjusting to the fluctuating demands, configurations, and code updates of your system, our autonomous strategies guarantee you can meet demand in the most economical manner. Additionally, we help you proactively address misconfigurations that could lead to SLA violations, compromise your error budgets, and jeopardize overall resilience and performance. PerfectScale swiftly identifies and autonomously rectifies under-provisioning issues that may result in latency, downtime, and service interruptions, ensuring your systems run smoothly and efficiently. This comprehensive approach not only safeguards your operations but also empowers your teams to focus on innovation and growth.

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

Codesphere revolutionizes the deployment process by creating a self-service environment tailored for developers, which significantly decreases both the time-to-market and associated expenses. The conventional divide between development and operations fosters a "throw it over the wall" approach, where developers pass off their code to operations teams without grasping the deployment and ongoing maintenance processes. By managing cloud provisioning, Codesphere facilitates workflows that prioritize developer autonomy. This innovative platform removes barriers by empowering developers to oversee their own infrastructure requirements from start to finish. Users can deploy a variety of applications, ranging from basic frontends to complex multi-service production environments and language models, complete with features like zero-configuration autoscaling, replica management, and other managed services. Boasting an impressive uptime of 99.9%, Codesphere ensures that your production environment is ready even before your first deployment. Collaborating with enterprise teams worldwide, Codesphere is dedicated to elevating software development capabilities. Moreover, its rootless zero-trust architecture minimizes vulnerability to potential cyber threats, enhancing overall security. This comprehensive approach positions Codesphere as a pivotal player in the future of software delivery.

NetWatch.ai provides an all-encompassing, AI-powered monitoring and security platform aimed at unifying disparate tools into a cohesive solution tailored for contemporary IT settings. The platform features three main product categories: NetWatch OPS, which delivers real-time monitoring, proactive alerts, and efficient resource management for servers and networks; Secure OPS, a hybrid SIEM that facilitates comprehensive security oversight and compliance for both cloud-based and on-premises systems; and AI OPS, which harnesses machine learning to foresee potential issues, automate resolution processes, and enhance operational efficacy. A unique “AI System Administrator” functions as a virtual operator that oversees customer infrastructures, integrates seamlessly through API with existing workflows, and provides thorough visibility and automation. Additionally, for organizations in need of expert support, NetWatch.ai offers Hive OPS SOC, a tiered Security Operations Center service that includes round-the-clock monitoring, incident response, and various other critical services. This integrated approach not only simplifies management but also significantly strengthens the overall security posture of businesses in an increasingly complex digital landscape.

Digital.ai Release, previously known as XebiaLabs XL Release, serves as a specialized tool for release management within Continuous Delivery (CD) workflows. This platform empowers teams throughout an organization to design and oversee releases, streamline IT tasks through automation, and enhance release durations by scrutinizing and refining their processes. By facilitating automation and orchestration, it provides comprehensive visibility into release pipelines, even on an enterprise scale. Users can efficiently manage complex release pipelines while planning, automating, and analyzing every aspect of the software delivery process. It allows for the control and enhancement of software delivery efforts, ensuring that users are always informed about the status of both automated and manual tasks within the release pipeline. The tool helps identify potential bottlenecks, minimize errors, and mitigate the risks associated with release failures. Additionally, it offers the capability to monitor the entire release process, providing up-to-date status information across various tools and systems, from code development to production deployment. Users can also personalize dashboards to emphasize the most crucial data for each specific release, enhancing the overall management experience. This level of customization ensures that teams can focus on what matters most, leading to more efficient and successful releases.

Sonatype Lifecycle is a comprehensive SCA tool that integrates into development processes to provide security insights, automate dependency management, and ensure software compliance. It helps teams monitor open-source components for vulnerabilities, automate the remediation of risks, and maintain continuous security through real-time alerts. With its powerful policy enforcement, automated patching, and full visibility of software dependencies, Sonatype Lifecycle allows developers to build secure applications at speed, preventing potential security breaches and improving overall software quality.

Create cloud-native applications designed to streamline business decisions and processes. Red Hat® Process Automation Manager serves as a robust platform for crafting containerized microservices and applications aimed at automating these business functions. It encompasses various technologies, including business process management (BPM), business rules management (BRM), as well as business resource optimization and complex event processing (CEP). Additionally, it features a user experience platform that facilitates the development of interactive user interfaces for process and decision services with minimal coding efforts. This platform equips business users with essential tools for modeling flows and policies, utilizing Business Process Model and Notation (BPMN) models, Decision Model and Notation (DMN) models, and specialized rule languages tailored to specific domains. With a focus on cloud development, users can seamlessly deploy their finished models as containerized microservices on Red Hat OpenShift. Furthermore, it leverages the full power of Drools, a widely recognized open-source rules engine, ensuring flexible and effective automation solutions. Overall, this approach enhances operational efficiency and fosters innovation across various business sectors.

Seeker® is an advanced interactive application security testing (IAST) tool that offers exceptional insights into the security status of your web applications. It detects trends in vulnerabilities relative to compliance benchmarks such as OWASP Top 10, PCI DSS, GDPR, CAPEC, and CWE/SANS Top 25. Moreover, Seeker allows security teams to monitor sensitive information, ensuring it is adequately protected and not inadvertently recorded in logs or databases without the necessary encryption. Its smooth integration with DevOps CI/CD workflows facilitates ongoing application security assessments and validations. Unlike many other IAST tools, Seeker not only uncovers security weaknesses but also confirms their potential for exploitation, equipping developers with a prioritized list of verified issues that need attention. Utilizing its patented techniques, Seeker efficiently processes a vast number of HTTP(S) requests, nearly eliminating false positives and fostering increased productivity while reducing business risks. In essence, Seeker stands out as a comprehensive solution that not only identifies but also mitigates security threats effectively.

Experience the agility of DevOps combined with the essential scale, security, and investment protection required for both well-established and new application architectures. The VIPRION chassis and blades provide seamless programmability, efficient multi-vendor service orchestration, software-defined hardware capabilities, and performance at line rate. Propel your private cloud initiatives while safeguarding critical data at scale, leading to reduced costs and ensuring your infrastructure is future-ready. Deployment times are significantly shortened with compatibility for major private cloud frameworks such as OpenStack, VMware, and Cisco. Programmatic toolkits are equipped with customizable application templates, a vibrant JavaScript community, and access to over 250,000 node.js libraries. You can lower total ownership costs by as much as 53% when compared to other ADC providers. Furthermore, it supports all leading encryption methods, including the innovative Forward Secrecy, which offers the most efficient path to achieving an A+ Grade SSL rating. The VIPRION platform not only empowers you to dynamically scale but also allows you to adapt seamlessly to evolving demands in the digital landscape, ensuring that your operations remain robust and efficient.

Akamai Guardicore Segmentation streamlines the segmentation process, minimizing your attack surface and hindering lateral movement through efficient and straightforward segmentation applicable across all environments. It offers granular visibility and control for data centers, cloud, and hybrid cloud setups. The Akamai Guardicore Segmentation Platform stands out as the easiest and most user-friendly solution for monitoring activities in both data center and cloud settings, allowing for the implementation of accurate segmentation policies, safeguarding against external threats, and swiftly identifying potential breaches. By utilizing a combination of agent-based sensors, network data collectors, and virtual private cloud (VPC) flow logs from various cloud providers, Akamai Guardicore Segmentation gathers comprehensive insights into an organization’s IT framework. Furthermore, this platform enhances the collected data with relevant context through a flexible and automated labeling system that integrates seamlessly with existing data sources, including orchestration tools and configuration management databases, ensuring a holistic view of security across the entire infrastructure. This capability not only strengthens security posture but also facilitates compliance with industry regulations.

IBM Cloud Pak® for Applications facilitates the modernization of current applications, integrates enhanced security features, and enables the creation of new applications that drive digital transformation. This platform provides cloud-native development tools that swiftly generate value, coupled with adaptable licensing options designed to meet your unique requirements. Whether deployed on public clouds, on-premises, or within a private cloud, you can operate your applications in the environment that best suits your business needs. We offer resources to align them with Red Hat® OpenShift® on IBM Cloud®, a cohesive Kubernetes platform founded on open-source principles, ensuring support regardless of their deployment location. Transitioning to the cloud does not necessitate starting from scratch; rather, it allows for the modernization of legacy applications, enhancing their flexibility and scalability. Additionally, you will receive an assessment of your applications, complete with prioritized recommendations for modernization, guiding you on the path to effective transformation. By leveraging these insights, you can create a more agile and responsive IT infrastructure, ultimately driving greater business success.

Eclipse Che simplifies Kubernetes development for teams by offering one-click workspaces and removing the need for local environment setups for everyone involved. This platform seamlessly integrates your Kubernetes applications into the development environment while providing an in-browser IDE that lets you code, build, test, and deploy applications in the same manner they operate in production, all from any device. With Eclipse Che running in containers, all developer tools, the IDE, and its plugins operate as containerized services. You can forget about the hassles of configuration, dependency installation, or maintenance since everything is conveniently packaged within the container. Additionally, Che enables the creation of a unified configuration for your team's development environments and technology stacks. The web-based IDE, built on Eclipse Theia, offers a VSCode-like experience while incorporating the latest tooling protocols to enhance productivity and collaboration. This comprehensive solution ultimately streamlines workflows and fosters better communication among team members.

Embark on your AIOps journey and revolutionize your IT operations using IBM Cloud Pak for Watson AIOps. This advanced platform integrates sophisticated, explainable AI throughout the ITOps toolchain, enabling you to effectively evaluate, diagnose, and address incidents affecting critical workloads. For those seeking IBM Netcool Operations Insight or earlier IBM IT management solutions, IBM Cloud Pak for Watson AIOps represents the next step in your current entitlements. It allows you to correlate data from all pertinent sources, uncover hidden anomalies, predict potential issues, and expedite resolutions. By proactively mitigating risks and automating runbooks, workflows become significantly more efficient. AIOps tools facilitate the real-time correlation of extensive unstructured and structured data, ensuring that teams can remain focused while gaining valuable insights and recommendations integrated into their existing processes. Additionally, you can create policies at the microservice level, allowing for seamless automation across various application components, ultimately enhancing overall operational efficiency even further. This comprehensive approach ensures that your IT operations are not just reactive but also strategically proactive.