Kubernetes Integrations

DevPod presents a cutting-edge open-source platform tailored for the creation and control of reproducible developer environments as code, eliminating the necessity for an intricate server-side infrastructure. Utilizing the open devcontainer.json standard, it enables the precise definition of each workspace, ensuring that development environments remain consistent across various projects and teams. Operating within isolated containers, workspaces can be configured on a local laptop, a remote server, a Kubernetes cluster, or through multiple public and private cloud options via DevPod's providers. This adaptability empowers developers to transition seamlessly between local and cloud environments while ensuring cohesive workspace management. Functioning as a client-only application, DevPod is accessible as both a desktop application and a programmable command-line tool, thus requiring no backend service to operate. It effortlessly integrates with both public and private Git repositories, supports all programming languages, and possesses the capability to intelligently analyze projects to create an optimal environment even when a devcontainer configuration is absent. Furthermore, its intuitive design streamlines the setup process, making it friendly for developers at every skill level, thereby enhancing overall productivity and collaboration. This innovative approach not only simplifies the development workflow but also fosters an inclusive environment for all developers.

Archestra is an open-source, self-hosted AI platform that facilitates the management and deployment of agents across an organization. It boasts agentic chat capabilities designed for users without a technical background, in addition to various applications, skills, collaborative initiatives, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security safeguards, and extensive observability, all seamlessly integrated into one platform. Through single sign-on (SSO) authentication, users can engage with tools while maintaining their unique identities rather than relying on shared service accounts. The platform organizes projects to bring together chats, files, scheduled tasks, and instructions, while agents function within isolated containers, activated by triggers such as schedules, emails, or webhooks. MCP servers are deployed within the organization's Kubernetes environment, adhering to security-validated promotion protocols that implement separate credentials and network rules. Additionally, the knowledge bases can connect with Confluence, Jira, drives, and internal documents, preserving source-system ACLs to ensure users only access information they are authorized to view. Overall, this extensive array of features establishes Archestra as an essential asset for organizations aiming to enhance their AI deployment efficiency and governance. By offering a user-friendly experience coupled with robust security measures, Archestra empowers teams to innovate while maintaining stringent access controls.

Nuphos is a specialized DevOps environment designed specifically for AI, allowing engineering teams and AI agents to work together in managing production systems while ensuring proper oversight and control. These intelligent agents are built to understand your infrastructure, effectively troubleshoot issues, and navigate various platforms such as AWS, GCP, Kubernetes, and Cloudflare, all while complying with rigorous IAM permissions and maintaining detailed audit trails. Each agent session is restricted to particular IAM roles and utilizes temporary, least-privilege credentials, guaranteeing that any changes proposed to the infrastructure receive prior approval. The agents possess the capability to review resources, access dashboards, analyze logs, formulate actionable plans, request necessary approvals, and execute safe actions, simultaneously enriching their knowledge about services, environments, workflows, runbooks, and operational history. Rather than switching between numerous terminals, cloud interfaces, dashboards, and documentation, engineers and agents work together within a cohesive DevOps workspace to enhance both efficiency and clarity. This collaborative framework not only streamlines workflows but also empowers both teams and AI to innovate and tackle challenges more adeptly, ultimately leading to improved productivity and responsiveness. By fostering a shared environment, Nuphos encourages open communication and knowledge sharing between human engineers and AI agents, further enhancing operational effectiveness.

CaaB represents a groundbreaking cloud platform designed specifically for managed service providers, effortlessly combining a powerful infrastructure with a fully customizable Cloud Web Manager. Through this platform, MSPs can easily launch and manage a diverse array of services, such as virtual machines, virtual desktops, managed Kubernetes, cloud storage, CDN, cloud backup, dedicated firewalls, load balancers, web application firewalls, and disaster recovery, all accessible from a unified interface. The Cloud Web Manager boasts an intuitive GUI, complete automation features, and API access, in addition to multi-tenant user management, two-factor authentication, and comprehensive usage reporting, which enables partners to manage their clients' cloud solutions under their own brands. The virtual machines included in the offering are engineered for outstanding performance and scalability, allowing for customizable hardware, SSD storage options, support for either Linux or Windows operating systems, and rapid deployment times. Furthermore, managed Kubernetes streamlines the process by removing the need for manual installation and cluster management, offering automated oversight, built-in security features, and improved portability, thereby serving as an essential resource for contemporary cloud operations. CaaB’s dedication to enhancing the user experience guarantees that even the most intricate tasks can be performed with remarkable simplicity, making it a versatile solution for MSPs looking to expand their service offerings. This focus on ease of use and efficiency positions CaaB as a leader in the cloud services market, fostering greater innovation and customer satisfaction.

Cloudgeni operates as a sophisticated AIOps platform specifically designed for cloud infrastructures, proficient in evaluating incidents, compliance, drift, and financial operations challenges, and addressing them through approved Infrastructure-as-Code pull requests. By merging cloud states, Infrastructure-as-Code, and operational signals into a cohesive context layer, it allows agents to understand dependencies, identify root causes, make changes that align with organizational standards, validate these adjustments before deployment, and confirm the resolution of issues after implementation. The platform's agents are capable of executing a variety of functions, such as compliance remediation, configuration drift management, resource imports, DevOps tasks, pull request assessments, Infrastructure-as-Code pipelines, cost management, Site Reliability Engineering workflows, AI infrastructure governance, and custom automation solutions. Moreover, Cloudgeni integrates effortlessly with a wide range of platforms and tools, including AWS, Azure, GCP, OCI, Kubernetes, OpenShift, Terraform, OpenTofu, Terragrunt, Bicep, Pulumi, Helm, GitHub, GitLab, Azure DevOps, security tools, observability solutions, and internal knowledge bases, creating a holistic ecosystem for cloud management. This adaptability not only helps organizations uphold optimal performance and security across their cloud environments but also enhances the efficiency of their operational workflows. Ultimately, Cloudgeni empowers businesses to navigate the complexities of cloud management with greater ease and confidence.

Your AI solution produces a vast amount of code every day, but most of it frequently goes unchecked. CybeDefend functions effortlessly within the coding agent as it creates code. With just one command, VibeDefend is seamlessly incorporated into various platforms such as Claude Code, Cursor, Windsurf, GitHub Copilot, Codex, and other coding agents. Once activated, the agent integrates your business policies, which are automatically gathered from your repository (including aspects like tenant scoping, soft delete, and audit on write), along with your security standards (such as OWASP, SOC 2, GDPR, and ISO 27001). It continuously monitors every code modification while the file is open, applying protective measures that stop the execution of harmful commands like rm -rf, sudo, or unauthorized access to your sensitive data before they can run. This functionality is backed by a robust Application Security platform that includes SAST, SCA, secrets management, Infrastructure as Code (IaC), CI/CD, container scanning, and an AutoFix feature. The free tier does not require a credit card and includes 10 static scans along with 50 AI credits, while premium plans start at an affordable $19 per month. To get started with the installation, simply execute the command: npx -y @cybedefend/vibedefend@latest. Additionally, this tool ensures that your development environment is not only efficient but also secure, giving you peace of mind as you code.

Encore is an automated infrastructure platform tailored for both human developers and AI agents, allowing for the swift building, validation, and deployment of applications without the hold-ups typically caused by Terraform pull requests or platform ticketing systems. With its open-source SDK, users can define the infrastructure needed for specific features right within the application code, while Encore takes charge of autonomously provisioning and validating essential resources such as databases, queues, buckets, and Pub/Sub, ensuring a smooth transition from development to production. Applications can be run locally in an environment that mirrors the cloud configuration closely, providing a robust testing ground for features and distributed systems with a mere single command. Additionally, when a new branch is introduced, Encore creates a unique preview environment automatically, which allows teams to evaluate workflows and external integrations without impacting shared staging resources. Upon deployment, the necessary infrastructure is set up automatically in the organization’s designated AWS or GCP account, including VPC and compliance settings, which simplifies the entire workflow. This forward-thinking approach not only boosts operational efficiency but also empowers developers to concentrate on coding rather than getting bogged down by infrastructure issues, ultimately fostering a more productive development environment. By removing common roadblocks in the deployment process, Encore paves the way for more innovative solutions in technology.

Holo4 is a family of agentic AI models developed by H Company for computer use and multi-step automation across desktop, web, mobile, terminal, MCP, and API environments. The series consists of Holo4 27B, a dense 27-billion-parameter model, and Holo4 35B-A3B, a 35-billion-parameter Mixture-of-Experts model with 3 billion active parameters. Rather than specializing exclusively in graphical interfaces or tool calling, Holo4 can click and type on screens, write and run its own code, and invoke MCP or API tools as different stages of a workflow require. The same model can therefore move between desktop applications, websites, Android applications, code sandboxes, and business APIs without switching to a separate model for each interface. H Company's Agentic Task Factory generated approximately 10,000 tasks across web applications, MCP servers, desktop software, and hybrid environments to support model development and evaluation. Holo4 underwent supervised fine-tuning on 127 billion tokens, with roughly three-quarters of that training data consisting of successful agentic trajectories covering desktop, web, MCP/API, and mobile tasks. Two reinforcement-learning experts were subsequently trained for desktop/web workflows and terminal/MCP/API workflows before being merged into the final generalist model. In H Company's evaluations, Holo4 27B scored 85.2% on OSWorld, 61.7% on OSWorld 2.0, 45.4% on AutomationBench, and 85.1% on AndroidWorld, although the company notes that reference-model results can use different harnesses and effort levels. Holo4 27B supports a 256K context window and is priced through the H Models API at $0.40 per million input tokens, $0.04 per million cached input tokens, and $3.00 per million output tokens. Holo4 35B-A3B also supports 256K context and is priced at $0.30 per million input tokens, $0.03 per million cached input tokens, and $2.00 per million output tokens.

BreachLine offers a robust security testing platform that incorporates Nebula, an AI-driven security engineer, to support teams throughout the entire security assessment process, including defining scope, planning, executing tests, detecting vulnerabilities, analyzing results, offering remediation suggestions, generating reports, and performing follow-up evaluations. The platform's adaptability allows it to conduct testing across a variety of environments, such as web applications, APIs, mobile applications, cloud infrastructures, networks, and AI systems, all while providing features like collaborative workspaces, scheduled tasks, and smooth integrations with various communication and issue-tracking tools. Users can access the service via a credit-based model that consists of monthly subscription options as well as an enterprise per-seat pricing structure. Furthermore, BreachLine includes a unique collection of 16 free browser security tools that require no signup, enabling users to examine dependencies, compare lockfiles and SBOMs, and assess CI workflows and application configurations. These tools execute deterministic checks directly within the browser, while hosted MCP reviews evaluate submitted content on BreachLine's servers, creating a dual-layered approach that guarantees both prompt and comprehensive security assessments for users. With its innovative features and user-friendly tools, BreachLine stands out as an essential resource for teams aiming to enhance their security posture.

BreachLine Labs has developed Nebula, an AI-driven security engineer that operates autonomously on your behalf. You simply provide it with a scope, and it will meticulously evaluate your web applications, APIs, mobile applications, cloud infrastructure, Kubernetes environments, internal networks, Active Directory setups, and AI systems. Each vulnerability it identifies comes with a functional exploit to demonstrate the actual consequences, straightforward guidance on remediation, and a retest option once the fixes are implemented. This tool serves as a valuable security engineer for smaller teams lacking dedicated security personnel, while larger technical groups can leverage it for in-depth analysis of their findings. Communication with Nebula is flexible; you can reach it via phone or email, or it can present its findings through slides during video conferences. The subscription begins at £399 per month, making it an accessible option for varied organizational needs. Additionally, Nebula's comprehensive capabilities ensure that all teams, regardless of size, can enhance their security posture effectively.

Begin your DevOps adventure and enhance the delivery of applications with a unified and effective workflow. This journey toward continuous delivery starts now. Clarive is recognized as a leading tool that provides a seamless experience for Development and Operations teams alike. Define and strategize your milestones, quality standards, and releases to align with your product goals and vision. Compile your source code or associated artifacts into changesets that support diverse review, testing, or deployment processes. Monitor your release progress through different stages and environments, while encouraging collaboration and ongoing enhancements with kanban boards and discussions. Streamline your release pipelines through automation to set up infrastructure, manage dependencies, and deploy components effortlessly. This solution is ideal for Development teams looking to implement lean delivery methodologies and refine their workflows. Additionally, it caters to Operations teams striving to integrate all delivery processes, dismantle barriers, and efficiently oversee application dependencies. By consolidating your toolset, you can conserve time and resources, leading to a more effective and productive DevOps ecosystem. Seize this chance to improve your collaborative efforts, achieve your objectives more efficiently, and foster a culture of continuous improvement within your organization. With Clarive, the future of streamlined delivery is at your fingertips.

NGINX Open Source powers more than 400 million websites around the world. Building on this robust foundation, NGINX Plus functions as an all-in-one software solution that combines load balancing, web serving, and content caching capabilities. By choosing NGINX Plus over conventional hardware load balancers, businesses can explore innovative opportunities without the constraints of traditional infrastructure, resulting in savings exceeding 80% while still achieving excellent performance and reliability. This versatile platform can be deployed across various settings, which include public and private clouds, bare metal servers, virtual machines, and containerized environments. Furthermore, the built-in NGINX Plus API streamlines the completion of routine tasks, thereby boosting operational efficiency. In an era where agility is essential, today's NetOps and DevOps teams require a self-service, API-centric approach that integrates smoothly with CI/CD workflows, which not only accelerates application deployments but also enhances the management of application lifecycles. As technology continues to advance rapidly, NGINX Plus emerges as an indispensable resource for improving operational flexibility and optimizing the use of available resources. It is a pivotal asset for organizations aiming to stay competitive in a fast-paced digital world.

Kubernetes, cloud, and container security solutions provide comprehensive coverage from inception to completion by identifying vulnerabilities and prioritizing them for action; they enable effective detection and response to threats and anomalies while managing configurations, permissions, and compliance. Users can monitor all activities across cloud environments, containers, and hosts seamlessly. By leveraging runtime intelligence, security alerts can be prioritized to remove uncertainty in threat responses. Additionally, guided remediation processes utilizing straightforward pull requests at the source significantly decrease resolution time. Monitoring extends to any activity across applications or services, regardless of the user or platform. Risk Spotlight enhances security by reducing vulnerability notifications by up to 95% with relevant runtime context, while the ToDo feature allows for the prioritization of the most pressing security concerns. Furthermore, it is essential to map production misconfigurations and excessive privileges back to infrastructure as code (IaC) manifests, ensuring a robust security posture in deployment. With a guided remediation workflow, initiating a pull request directly at the source not only streamlines the process but also fosters accountability in addressing vulnerabilities.

OverOps swiftly detects significant problems in backend Java or .NET applications during runtime, removing the necessity to sift through logs for repetitive issues. Unlike logs, static analysis, or APM that depend on prior knowledge, OverOps performs real-time code analysis without necessitating any modifications to the code. Furthermore, it seamlessly integrates with your current CI/CD tools and maintains its functionality throughout the entire development lifecycle, from pre-production to deployment in a live environment. This capability ensures that developers can focus more on building features rather than troubleshooting.

Experience robust Continuous Integration capabilities immediately, allowing you to define as many as 100 job-based build configurations while running an unlimited number of builds. You can execute up to three builds at the same time, and if needed, you can incorporate additional agents. Every feature of TeamCity is available for your use, delivering the same powerful tools utilized by our largest clients. For assistance, you can connect with peers through the forum, submit bug reports, request features, or participate in our public issue tracker by voting. Enjoy unlimited user access and build durations, all without any hidden limitations. Automated tests can be run on the server prior to committing changes, ensuring your codebase remains pristine. This proactive approach means you won't have to wait for a build to finish to detect issues. To manage settings and permissions effectively, you can establish a project tree that inherits from parent configurations. Furthermore, you can create templates with shared settings, simplifying the process of managing multiple build configurations and enhancing overall efficiency. This flexibility empowers teams to streamline their development processes significantly.

Mendix, a subsidiary of Siemens and a frontrunner in the realm of enterprise low-code solutions, is revolutionizing the delivery of applications within digital enterprises. The Mendix platform empowers organizations to 'Make with More' by enhancing their development capabilities to address the software development bottleneck effectively. It also promotes 'Make it Smart', enabling the creation of applications that offer rich native experiences while being intelligent, proactive, and contextual. Furthermore, 'Make at Scale' facilitates the modernization of core systems and the development of extensive app portfolios. Designed to foster robust collaboration between IT and business teams, Mendix significantly speeds up the application development process without compromising on quality, security, or governance. This approach enables enterprises to make significant strides into their digital future. Thousands of prominent companies, including Conoco Phillips and the Business Development Bank of Canada, have embraced the Mendix platform, alongside industry leaders such as Post NL, Continental, and Zurich Insurance, further validating its impact in the enterprise application landscape.

AllegroGraph stands out as a groundbreaking solution that facilitates limitless data integration, employing a proprietary method to consolidate fragmented data and information into an Entity Event Knowledge Graph framework designed for extensive big data analysis. By leveraging its distinctive federated sharding features, AllegroGraph delivers comprehensive insights and supports intricate reasoning over a distributed Knowledge Graph. Additionally, users of AllegroGraph can access an integrated version of Gruff, an intuitive browser-based tool for graph visualization that aids in uncovering and understanding relationships within enterprise Knowledge Graphs. Moreover, Franz's Knowledge Graph Solution not only encompasses advanced technology but also offers services aimed at constructing robust Entity Event Knowledge Graphs, drawing upon top-tier products, tools, expertise, and experience in the field. This comprehensive approach ensures that organizations can effectively harness their data for strategic decision-making and innovation.

SuperMap GIS 10i (2021) features a range of components such as the Cloud GIS server, Edge GIS server, and Terminal GIS, and it offers users the flexibility of two delivery options: offline deployment or online services through SuperMap Online. This versatility allows organizations to choose the deployment method that best suits their operational needs.

Our platform empowers businesses to harness data for advanced analytics, machine learning, and AI, all while ensuring that customers, employees, and intellectual property remain secure. The Protegrity Data Protection Platform goes beyond mere data protection; it also identifies and classifies data while safeguarding it. To effectively protect data, one must first be aware of its existence. The platform initiates this process by categorizing data, enabling users to classify the types most frequently found in the public domain. After these classifications are set, machine learning algorithms come into play to locate the relevant data types. By integrating classification and discovery, the platform effectively pinpoints the data that requires protection. It secures data across various operational systems critical to business functions and offers privacy solutions such as tokenization, encryption, and other privacy-enhancing methods. Furthermore, the platform ensures ongoing compliance with regulations, making it an invaluable asset for organizations aiming to maintain data integrity and security.

ServiceNow Cloud Observability offers immediate insights and oversight of cloud infrastructures, applications, and services. This platform empowers organizations to pinpoint and address performance issues by consolidating data from various cloud environments into one unified dashboard. With its sophisticated analytics and alerting capabilities, ServiceNow Cloud Observability enables IT and DevOps teams to recognize anomalies, resolve problems, and maintain peak performance levels. Additionally, the platform incorporates AI-driven insights and automation, equipping teams to react swiftly to incidents. By enhancing operational efficiency, it guarantees a smooth user experience across diverse cloud environments, ultimately helping businesses achieve their technological goals.

Uptycs introduces an innovative platform that combines CNAPP and XDR capabilities, giving organizations the power to enhance their cybersecurity measures. With Uptycs, security teams can make informed decisions in real-time, leveraging structured telemetry and advanced analytics for improved threat management. The platform offers a comprehensive perspective of cloud and endpoint telemetry, equipping modern security professionals with crucial insights necessary to protect against evolving attack vectors in cloud-native environments. The Uptycs solution streamlines the response to various security challenges such as threats, vulnerabilities, misconfigurations, data exposure, and compliance requirements through a single user interface and data model. It seamlessly integrates threat activities across both on-premises and cloud infrastructures, thereby fostering a more unified approach to enterprise security. Additionally, Uptycs provides an extensive array of functionalities, encompassing CNAPP, CWPP, CSPM, KSPM, CIEM, CDR, and XDR, ensuring that organizations have the tools they need to address their security concerns effectively. Elevate your security posture with Uptycs and stay ahead in the fight against cyber threats.

RZT aiOS offers a comprehensive suite of advantages as a unified AI platform and goes beyond mere functionality. Serving as an Operating System, it effectively links, oversees, and integrates all your AI projects seamlessly. With the aiOS process management feature, AI developers can accomplish tasks that previously required months in just a matter of days, significantly boosting their efficiency. This innovative Operating System creates an accessible atmosphere for AI development. Users can visually construct models, delve into data, and design processing pipelines with ease. Additionally, it facilitates running experiments and monitoring analytics, making these tasks manageable even for those without extensive software engineering expertise. Ultimately, aiOS empowers a broader range of individuals to engage in AI development, fostering creativity and innovation in the field.

OneUptime delivers an all-encompassing monitoring solution tailored for your website, dashboards, APIs, and other critical components, ensuring your team is alerted swiftly when downtime occurs. Additionally, we provide a Status Page that keeps your customers updated, thereby improving transparency significantly. By choosing OneUptime, you receive an integrated Site Reliability Engineering (SRE) toolchain from the outset, all functioning through a single interface that promotes efficient communication and a cohesive permission structure while offering a wide array of functionalities. You will be amazed by the vast array of capabilities that OneUptime presents today, and this just scratches the surface of what we can offer. Our platform provides complete real-time visibility across all your projects, which greatly enhances collaboration in the evolving fields of DevOps and SRE activities, ultimately contributing to a more resilient operational framework. Embracing OneUptime means stepping into a future where monitoring and reliability are at the forefront of your digital strategy.

Coralogix stands out as a leading stateful streaming platform, empowering engineering teams with immediate insights and the ability to analyze trends over time without depending on conventional storage or indexing methods. The platform allows for the seamless importation of data from various sources to effectively manage, monitor, and notify you about your applications. Coralogix intelligently distills vast amounts of events down to recognizable patterns, facilitating quicker troubleshooting and enhanced understanding. Its machine learning algorithms continuously observe data flows and patterns across system components, generating dynamic alerts when anomalies arise, eliminating the need for rigid thresholds or prior configurations. You can connect any data type and access insights from diverse interfaces, including its custom UI, Kibana, Grafana, as well as standard SQL clients and Tableau. Additionally, the provision of a command-line interface (CLI) and comprehensive API support enhances usability. Coralogix has also met the necessary privacy and security standards established by BDO, achieving certifications such as SOC 2, PCI, and GDPR compliance, ensuring a trustworthy environment for users. With its advanced capabilities, Coralogix positions itself as an invaluable tool for modern engineering teams striving for operational excellence.

Boost your efficiency by ensuring that only top-notch code is deployed, as SonarQube Cloud (formerly known as SonarCloud) effortlessly assesses branches and enhances pull requests with valuable insights. Detecting subtle bugs is crucial to preventing erratic behavior that could negatively impact users, while also addressing security vulnerabilities that pose a risk to your application, all while deepening your understanding of application security through the Security Hotspots feature. You can quickly start utilizing the platform directly from your coding environment, allowing you to take advantage of immediate access to the latest features and enhancements. Project dashboards deliver essential insights into code quality and release readiness, ensuring that both teams and stakeholders are well-informed. Displaying project badges highlights your dedication to excellence within your communities and serves as a testament to your commitment to quality. Recognizing that code quality and security are vital throughout your entire technology stack—covering both front-end and back-end development—we support an extensive selection of 24 programming languages, including Python, Java, C++, and more. As the call for transparency in coding practices increases, we encourage you to join this movement; it's entirely free for open-source projects, presenting a valuable opportunity for all developers! Additionally, by engaging with this initiative, you play a role in a broader community focused on elevating software quality and fostering collaboration among developers. Embrace this chance to enhance your skills while contributing to a collective mission of excellence.

EJBCA is a robust PKI platform designed for enterprise use, capable of issuing and managing millions of digital certificates efficiently. Its popularity spans globally, as it serves large organizations across various industries, making it a trusted choice for secure digital certificate management.

CloudPlex is an all-encompassing solution designed for businesses to smoothly migrate and oversee their applications in the cloud, aligning both technical specifications and strategic goals. It manages essential components like governance, security, orchestration, and cost management, facilitating a frictionless user experience. The platform accommodates diverse application formats, including cloud-native, containerized, and traditional legacy systems, across major public cloud service providers in an integrated manner. By automating the entire process of application provisioning and orchestration, CloudPlex significantly enhances operational efficiency. Additionally, it tackles financial management issues by providing a robust workflow for estimating, reviewing, approving, and monitoring cloud expenditures, along with comprehensive license oversight. This integrated strategy not only empowers organizations to maximize their cloud resources but also ensures they retain control over their spending and regulatory compliance. Ultimately, CloudPlex equips enterprises with the tools necessary to thrive in a dynamic cloud landscape.

Spot Ocean allows users to take full advantage of Kubernetes, minimizing worries related to infrastructure management and providing better visibility into cluster operations, all while significantly reducing costs. An essential question arises regarding how to effectively manage containers without the operational demands of overseeing the associated virtual machines, all while taking advantage of the cost-saving opportunities presented by Spot Instances and multi-cloud approaches. To tackle this issue, Spot Ocean functions within a "Serverless" model, skillfully managing containers through an abstraction layer over virtual machines, which enables the deployment of Kubernetes clusters without the complications of VM oversight. Additionally, Ocean employs a variety of compute purchasing methods, including Reserved and Spot instance pricing, and can smoothly switch to On-Demand instances when necessary, resulting in an impressive 80% decrease in infrastructure costs. As a Serverless Compute Engine, Spot Ocean simplifies the tasks related to provisioning, auto-scaling, and managing worker nodes in Kubernetes clusters, empowering developers to concentrate on application development rather than infrastructure management. This cutting-edge approach not only boosts operational efficiency but also allows organizations to refine their cloud expenditure while ensuring strong performance and scalability, leading to a more agile and cost-effective development environment.

IBM Cloud® Kubernetes Service provides a certified and managed platform for Kubernetes, specifically aimed at facilitating the deployment and oversight of containerized applications on the IBM Cloud®. It boasts features such as intelligent scheduling, self-healing mechanisms, and horizontal scaling, all while maintaining secure management of resources essential for the quick deployment, updating, and scaling of applications. By managing the master node, IBM Cloud Kubernetes Service frees users from the tasks associated with overseeing the host operating system, container runtime, and Kubernetes version updates. This enables developers to concentrate on the development and innovation of their applications rather than becoming mired in infrastructure management. Additionally, the service's robust architecture not only enhances resource utilization but also significantly boosts performance and reliability, making it an ideal choice for businesses looking to streamline their application deployment processes. This comprehensive approach allows organizations to remain agile and responsive in a fast-paced digital landscape.

kgateway is a next-generation Kubernetes gateway platform built to support both microservices and AI agent ecosystems. It provides a unified control plane for API gateways, AI gateways, inference routing, and agent-to-agent communication. Built on Envoy and open standards, kgateway fully implements the Kubernetes Gateway API. The platform allows teams to aggregate APIs and enforce authentication, authorization, and rate limiting centrally. Kgateway secures LLM usage by protecting models, tools, agents, and sensitive data. It includes an inference gateway to intelligently route requests to generative AI workloads running in Kubernetes. Kgateway supports native MCP and agent-to-agent communication for scalable AI systems. The platform scales from small service-to-service gateways to enterprise-grade deployments handling billions of API calls. It enables advanced traffic management, resilience testing, and security controls. Originally launched as Gloo, kgateway has evolved into one of the most trusted gateways in the Kubernetes ecosystem. It supports hybrid, multi-cloud, and on-prem environments seamlessly. Kgateway empowers teams to build secure, resilient, and AI-ready infrastructure.

Knative, originally crafted by Google and bolstered by input from over 50 organizations, offers an essential set of tools for building and managing serverless applications on Kubernetes. This framework boasts features like scale-to-zero, automatic scaling, in-cluster builds, and a comprehensive eventing system designed for cloud-native settings. By harmonizing best practices derived from effective Kubernetes frameworks, Knative ensures consistent performance whether utilized on-premises, in the cloud, or through third-party data centers. The platform significantly enhances the developer experience, enabling them to focus on coding and innovation without the distraction of tedious development, deployment, and management tasks. Furthermore, Knative's architecture streamlines the development workflow, facilitating smoother integration and utilization of contemporary technologies, which ultimately leads to faster project turnarounds. As a result, teams can harness their creativity and technical skills to push boundaries in application development.

Tekton is a flexible and powerful open-source framework created specifically for Kubernetes, aimed at supporting the creation of continuous integration and delivery (CI/CD) systems. By simplifying the intricate details of the technologies involved, it enables the building, testing, and deployment of applications in a variety of cloud settings or on-premises environments. This innovative framework empowers teams to unify their CI/CD workflows while following established best practices designed for Kubernetes. Moreover, it is capable of operating in hybrid or multi-cloud settings, allowing organizations to maintain maximum flexibility in their deployments. With Tekton, developers can optimize their workflows, boost productivity, and easily adapt to different infrastructure requirements. Ultimately, Tekton serves as a valuable tool for teams seeking efficiency and consistency in their software delivery pipelines.

Managed Service for Apache Spark is a comprehensive Google Cloud solution that enables organizations to run Apache Spark workloads with minimal operational overhead and maximum performance. It combines serverless Spark and fully managed clusters into a single platform, giving users flexibility in how they deploy and manage workloads. The service eliminates the need for manual infrastructure setup, allowing teams to focus on data engineering, analytics, and machine learning tasks. Its Lightning Engine significantly boosts performance, delivering up to 4.9 times faster execution compared to open-source Spark without requiring code changes. The platform integrates with Gemini AI to provide intelligent development assistance, including automated PySpark code generation, troubleshooting, and workflow optimization. It supports open data formats like Apache Iceberg, enabling seamless integration into modern lakehouse architectures. Users can connect with Google Cloud services such as BigQuery and Knowledge Catalog for unified analytics and governance. The platform is designed for scalability, handling everything from small workloads to enterprise-level data processing. It also supports GPU acceleration for advanced machine learning use cases. Built-in security features, including IAM and VPC Service Controls, ensure strong data protection and compliance. Flexible pricing options allow users to optimize costs based on usage patterns. The service simplifies migration from legacy Spark environments with minimal code changes. Overall, it provides a powerful, efficient, and AI-enhanced platform for modern data processing and analytics.

Speed up the progress of your deep learning initiative on Google Cloud by leveraging Deep Learning Containers, which allow you to rapidly prototype within a consistent and dependable setting for your AI projects that includes development, testing, and deployment stages. These Docker images come pre-optimized for high performance, are rigorously validated for compatibility, and are ready for immediate use with widely-used frameworks. Utilizing Deep Learning Containers guarantees a unified environment across the diverse services provided by Google Cloud, making it easy to scale in the cloud or shift from local infrastructures. Moreover, you can deploy your applications on various platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, offering you a range of choices to align with your project's specific requirements. This level of adaptability not only boosts your operational efficiency but also allows for swift adjustments to evolving project demands, ensuring that you remain ahead in the dynamic landscape of deep learning. In summary, adopting Deep Learning Containers can significantly streamline your workflow and enhance your overall productivity.

Google Cloud for Games offers a broad array of cloud-based resources specifically designed to aid game developers, studios, and publishers in efficiently building, scaling, and managing their gaming experiences. The platform includes a powerful infrastructure that enables global multiplayer capabilities, real-time data analysis, AI-driven game management, and oversight of live services. With its suite of managed services, such as dedicated game servers, matchmaking capabilities, and database management, developers can concentrate on enhancing gameplay while ensuring exceptional reliability and performance. Additionally, it allows studios to customize player experiences, refine monetization strategies, and leverage machine learning for tasks like fraud detection and content recommendation. By integrating seamlessly with popular game engines and development workflows, Google Cloud for Games helps teams accelerate development timelines, increase player engagement, and broaden their reach internationally. This extensive ecosystem not only simplifies infrastructure management for game creators but also encourages them to pursue innovative concepts without distraction, fostering creativity in an ever-evolving industry. Ultimately, it serves as a crucial ally in the quest for game development excellence.

We are thrilled to introduce our cutting-edge automation platform, which includes pre-built automations referred to as skills. This platform empowers you to simplify a range of repetitive and complex tasks, including but not limited to string replacements in your projects, npm dependency updates, conducting quality code scans, or even designing a custom skill that fits your unique requirements. Teams that leverage Atomist can effortlessly apply these ready-made automations throughout all their repositories, development workflows, and operational processes. The activation of a skill is triggered by significant event-driven occurrences pertinent to your team, such as commits, builds, deployments, or the creation of new issues. This adaptability not only ensures that teams can enhance their workflows but also significantly boosts overall productivity and collaboration. Furthermore, by integrating these skills, teams can quickly respond to changes and challenges, fostering a more agile development environment.

Everpure is an enterprise data cloud and modern storage platform designed to help organizations unlock the intelligence hidden across their data estate. The platform helps businesses move beyond application-centric architecture, where each system owns its own data and creates silos that limit visibility, governance, and AI readiness. Everpure manages data as a unified strategic resource across on-premises, cloud, and edge environments, giving enterprises a more consistent foundation for modern workloads. Its layered architecture includes Evergreen architecture, a unified data plane, an intelligent control plane, as-a-service delivery, and data intelligence capabilities. Evergreen architecture helps keep infrastructure modern through non-disruptive hardware and software updates, reducing the need for disruptive upgrade cycles. The unified storage layer virtualizes and connects storage across environments, while intelligent control helps enforce policies, automate operations, and manage fleets in real time. Everpure’s data intelligence capabilities help organizations discover, classify, map, understand, and act on data so it can be trusted by people, applications, and AI systems. The platform supports workloads such as AI pipelines, training, inferencing, databases, virtualization, high-performance computing, cyber resilience, data protection, cloud operations, and enterprise file storage. It is built to help companies reduce dark data risk, improve governance, increase utilization, cut manual operational work, lower data center energy usage, and maintain high reliability. Everpure also helps organizations protect against data loss through immutability and resilience features designed for critical enterprise environments. By combining storage modernization, automation, governance, data intelligence, and service-based delivery, Everpure gives enterprises a stronger foundation for scaling AI, improving infrastructure efficiency, and making data easier to trust and use.

TENGU acts as a comprehensive data orchestration platform, providing a central hub where all data profiles can collaborate and work more effectively. This platform optimizes data utilization, ensuring quicker access and results. With its innovative graph view, TENGU offers full visibility and control over your data environment, making monitoring straightforward and intuitive. By consolidating all essential tools within a single workspace, it streamlines workflows. Furthermore, TENGU empowers users with self-service capabilities, monitoring features, and automation, catering to various data roles and facilitating operations ranging from integration to transformation, thereby enhancing overall productivity. This holistic approach not only simplifies data management but also fosters a more collaborative environment for teams.

Configuration as code enables the establishment of pipelines through a clear and concise file that can be easily added to your git repository. Each pipeline step executes in a specific Docker container, which is fetched automatically during the execution process. Drone seamlessly integrates with multiple source code management systems, including popular platforms such as GitHub, GitHubEnterprise, Bitbucket, and GitLab. It accommodates a diverse array of operating systems and architectures, such as Linux x64, ARM, ARM64, and Windows x64. Moreover, Drone is adaptable with programming languages, allowing it to work efficiently with any language, database, or service that runs in a Docker container, and it provides the option to use thousands of public Docker images or to create custom ones. The platform also supports the development and sharing of plugins, utilizing containers to integrate pre-configured steps into your pipeline, offering users the option to choose from hundreds of existing plugins or to create unique ones. Additionally, Drone enhances the customization process by allowing users to set up specific access controls, create approval workflows, manage sensitive information, extend YAML syntax, and much more. This extensive flexibility enables teams to fine-tune their workflows according to their unique operational demands and preferences, fostering greater efficiency and collaboration within development projects. Ultimately, this adaptability positions Drone as a powerful tool for modern software development practices.

Platform engineering is transforming the approach that engineering teams take towards developing and managing their cloud-native environments. Humanitec stands at the forefront of this transformation, offering enterprises the most efficient and dependable method to construct Internal Developer Platforms (IDPs). Recognized as a 2022 Gartner® Cool Vendor, Humanitec enhances developer productivity by significantly streamlining the software delivery process at scale. The Humanitec Platform Orchestrator, our flagship product, serves mid to large-sized engineering firms, catering to everyone from scale-ups with over 100 developers to Fortune 100 companies. Our open-source workload specification Score empowers developers to articulate their workloads and dependencies in a code format. Each deployment triggers the Platform Orchestrator to automatically create application and infrastructure configurations, promoting consistency throughout the software delivery lifecycle. This leads to the elimination of ticket operations and reduces delays for developers, resulting in a fourfold increase in deployment frequency and a 30% acceleration in time to market. As a software-as-a-service provider, Humanitec prioritizes information security, holding ISO 27001 certification and continually working to safeguard data while following the highest industry security standards. Our commitment to security not only protects our clients but also instills trust in our innovative solutions.

Friendly's One IoT Device Management enables users to oversee a variety of IoT devices remotely, accommodating those with complex data models and limited functionalities through widely accepted protocols such as LwM2M, OMA-DM, MQTT, CoAP, TR-369 USP, and TR-069. This comprehensive solution supports automated setup and remote control of IoT devices, featuring an Admin Portal, a Technician Portal, a Quality of Experience (QoE) Dashboard, Business Intelligence (BI) tools, and Big Data Analytics, as well as a robust API for customizing vertical applications. Furthermore, Friendly provides an App generator module designed to streamline the development and updating of personalized applications, eliminating the need for programming expertise. In addition, Friendly's One-IoT™ Device Management can be implemented via private cloud, public cloud, or directly at the customer's location, offering the flexibility to meet diverse operational demands. This versatility empowers users to manage their IoT ecosystems effectively, tailoring their approach to align with specific infrastructure needs while ensuring optimal performance and efficiency.

IBM Cloud™ Data Shield enables users to run containerized applications securely within an enclave on the IBM Cloud Kubernetes Service host, thereby providing protection for data in use. This cutting-edge service allows user-level code to create private memory areas called enclaves, which are shielded from processes with higher privileges. With enhanced support for Intel Software Guard Extensions (SGX), it expands the array of programming languages available from just C and C++ to also include Python and Java™, while offering preconfigured SGX applications compatible with widely-used tools such as MySQL, NGINX, and Vault. By leveraging the Fortanix Runtime Encryption platform along with Intel SGX technology, this solution equips organizations that manage sensitive data to confidently embrace cloud computing. The integration of IBM Cloud Data Shield allows businesses handling critical information to deploy and capitalize on cloud services without compromising security. Additionally, this platform guarantees that sensitive tasks are performed within a secure environment, thereby further fostering confidence in cloud-based applications and enabling organizations to innovate without fear of data breaches. As a result, enterprises can focus on growth and efficiency while relying on robust security measures.

Qualys Cloud Security has introduced a vulnerability analysis plug-in tailored for the CI/CD tool Jenkins, with intentions to extend its offerings to other platforms like Bamboo, TeamCity, and CircleCI soon. Users can easily obtain these plug-ins directly from the container security module, which facilitates a seamless integration that empowers security teams to participate in the DevOps workflow effectively. This integration ensures that images containing vulnerabilities are prevented from entering the system, while developers are equipped with actionable insights to tackle these issues efficiently. Furthermore, users can implement policies designed to block vulnerable images from repositories, with customizable settings based on vulnerability severity and specific QIDs. The plug-in also delivers a comprehensive overview of the build, highlighting vulnerabilities and providing details on patchable software, available fixed versions, and the image layers impacted. Since container infrastructure is fundamentally immutable, it is critical for containers to remain aligned with their original images, emphasizing the need for stringent security measures throughout the development lifecycle. By adopting these strategies, organizations can significantly improve their capacity to maintain secure and compliant container environments while fostering a culture of continuous improvement in security practices. This proactive approach not only mitigates risks but also enhances collaboration between development and security teams.

ARMO provides extensive security solutions for on-premises workloads and sensitive information. Our cutting-edge technology, which is awaiting patent approval, offers robust protection against breaches while reducing security overhead across diverse environments like cloud-native, hybrid, and legacy systems. Each microservice is individually secured by ARMO through the development of a unique cryptographic code DNA-based identity, which evaluates the specific code signature of every application to create a customized and secure identity for each instance. To prevent hacking attempts, we establish and maintain trusted security anchors within the protected software memory throughout the application's execution lifecycle. Additionally, our advanced stealth coding technology effectively obstructs reverse engineering attempts aimed at the protection code, ensuring that sensitive information and encryption keys remain secure during active use. Consequently, our encryption keys are completely hidden, making them resistant to theft and instilling confidence in our users about their data security. This comprehensive approach not only enhances security but also builds a reliable framework for protecting vital assets in a rapidly evolving digital landscape.

It is essential to secure, manage, and store tokens, passwords, certificates, and encryption keys that play a crucial role in protecting sensitive data, employing methods such as user interfaces, command-line interfaces, or HTTP APIs. By integrating machine identity, applications and systems can be fortified while automating the issuance, rotation, and management of credentials. Utilizing Vault as a trusted authority helps to facilitate the verification of application and workload identities. Many organizations encounter issues with credentials being hard-coded in source code, scattered across configuration settings, or stored in plaintext in version control systems, wikis, and shared drives. To mitigate the risks associated with credential exposure, it is vital to ensure that organizations have rapid access revocation and remediation protocols in place, presenting a complex challenge that necessitates thorough planning and execution. Addressing these vulnerabilities not only bolsters security measures but also fosters confidence in the overall integrity of the system, creating a safer environment for all stakeholders involved. Ultimately, a proactive approach to credential management is key to sustaining trust and protecting sensitive information.

Akeyless is a cloud-native SaaS platform that secures machine identities, secrets, certificates, and keys while removing the overhead of managing vault infrastructure. It deploys in minutes, scales automatically across any environment, and requires no maintenance. Patented Distributed Fragments Cryptology (DFC™) ensures zero-knowledge protection by splitting secrets into fragments that are never stored together. The platform integrates easily with CI/CD pipelines, cloud-native tools, and automation workflows, cutting operational costs by up to 70 percent. It also protects AI pipelines end to end by centralizing secrets management, authentication, certificate automation, and policy enforcement so agents and services can run securely without embedded credentials.

Achieve thorough insight into your assets and network traffic spanning AWS, Azure, and Google Cloud, while utilizing risk-based prioritization methods to tackle security issues with efficient remediation processes. Simplify the oversight of expenses for diverse cloud services by consolidating monitoring onto a single interface. Instantly identify and evaluate risks associated with security and compliance, receiving contextual alerts that classify impacted resources, along with comprehensive remediation steps and guided responses. Improve your management capabilities by comparing cloud services side by side on one screen, while also acquiring independent recommendations intended to reduce costs and detect signs of potential breaches. Streamline compliance assessments to save valuable time by promptly aligning Control IDs from overarching compliance tools to Cloud Optix, facilitating the creation of audit-ready reports with minimal effort. Moreover, seamlessly incorporate security and compliance evaluations at any stage of the development pipeline to uncover misconfigurations, as well as exposed secrets, passwords, and keys that might jeopardize security. This holistic strategy not only fortifies organizations’ vigilance but also fosters a proactive approach to maintaining cloud security and compliance standards effectively. By leveraging these capabilities, businesses can ensure they are always prepared to face evolving security challenges.

Densify presents an innovative Cloud and Container Resource Management Platform that leverages machine learning to help cloud and container workloads accurately determine their resource requirements, thereby automating the management process entirely. This platform empowers CloudOps teams to guarantee that applications receive the most suitable resources needed while also reducing costs. Users can achieve results without the hassle of software installations, complex setups, or extensive training. Awarded a top rating of “9.5/10, spectacular” by ZDnet, Densify emphasizes that successful optimization hinges on highly accurate analytics that stakeholders can rely on and utilize effectively. It encourages collaboration and openness among Finance, Engineering, Operations, and application owners, which enhances ongoing cost optimization initiatives. Furthermore, it integrates effortlessly into your current ecosystem, supporting the necessary processes and systems for robust optimization strategies, thereby establishing a thorough resource management framework. This holistic approach not only boosts efficiency but also ensures that all teams remain aligned in their resource management goals.

Mirantis Kubernetes Engine, previously known as Docker Enterprise, empowers you to create, operate, and expand cloud-native applications in a manner that suits your needs. By enhancing developer productivity and increasing the frequency of releases while keeping costs low, it enables efficient deployment of Kubernetes and Swarm clusters right out of the box, which can be managed through an API, CLI, or web interface. Teams can select between Kubernetes, Swarm, or both orchestrators based on the unique requirements of their applications. With a focus on simplifying cluster management, you can quickly set up your environment and seamlessly apply updates with no downtime through an intuitive web UI, CLI, or API. Integrated role-based access control (RBAC) ensures that security measures are finely tuned across your platform, promoting a robust security framework based on the principle of least privilege. Additionally, you can easily connect to your existing identity management systems and enable two-factor authentication, ensuring that only authorized individuals have access to your platform. Furthermore, Mirantis Kubernetes Engine collaborates with Mirantis Container Runtime and Mirantis Secure Registry to ensure compliance with security standards, providing an extra layer of reassurance for your operations. This comprehensive approach guarantees that your cloud-native applications are not only efficient but also secure and manageable.

Starburst enables organizations to strengthen their decision-making processes by granting quick access to all their data without the complications associated with transferring or duplicating it. As businesses gather extensive data, their analysis teams frequently experience delays due to waiting for access to necessary information for evaluations. By allowing teams to connect directly to data at its origin, Starburst guarantees they can swiftly and accurately analyze larger datasets without the complications of data movement. The Starburst Enterprise version offers a comprehensive, enterprise-level solution built on the open-source Trino (previously known as Presto® SQL), which comes with full support and is rigorously tested for production environments. This offering not only enhances performance and security but also streamlines the deployment, connection, and management of a Trino setup. By facilitating connections to any data source—whether located on-premises, in the cloud, or within a hybrid cloud framework—Starburst empowers teams to use their favored analytics tools while effortlessly accessing data from diverse locations. This groundbreaking strategy significantly accelerates the time it takes to derive insights, which is crucial for businesses striving to remain competitive in a data-centric landscape. Furthermore, with the constant evolution of data needs, Starburst adapts to provide ongoing support and innovation, ensuring that organizations can continuously optimize their data strategies.