
A comprehensive managed compute platform designed to rapidly and securely deploy and scale containerized applications. Developers can utilize their preferred programming languages such as Go, Python, Java, Ruby, Node.js, and others. By eliminating the need for infrastructure management, the platform ensures a seamless experience for developers. It is based on the open standard Knative, which facilitates the portability of applications across different environments. You have the flexibility to code in your style by deploying any container that responds to events or requests. Applications can be created using your chosen language and dependencies, allowing for deployment in mere seconds. Cloud Run automatically adjusts resources, scaling up or down from zero based on incoming traffic, while only charging for the resources actually consumed. This innovative approach simplifies the processes of app development and deployment, enhancing overall efficiency. Additionally, Cloud Run is fully integrated with tools such as Cloud Code, Cloud Build, Cloud Monitoring, and Cloud Logging, further enriching the developer experience and enabling smoother workflows. By leveraging these integrations, developers can streamline their processes and ensure a more cohesive development environment.
Learn more
NeuBird AI is pioneering a new category of AI for IT operations with its Production Ops Platform, helping IT Ops, SRE, and DevOps teams prevent incidents, resolve issues in minutes, and continuously optimize production cloud environments. By replacing manual investigation with real-time, AI-driven insights, NeuBird enables teams to operate more efficiently and innovate faster. For more information, visit neubird.ai.
Learn more
Red Hat Decision Manager
Red Hat® Decision Manager is an advanced platform tailored for the development of containerized microservices and applications that focus on automating business decision-making processes. This all-encompassing solution includes features for the management of business rules, handling complex events, and resource optimization. Organizations can easily incorporate sophisticated decision-making logic into their existing business applications, allowing for rapid adjustments to essential business rules in line with shifting market dynamics. The latest version, Red Hat® Decision Manager 7, is distinguished as a powerful and scalable open-source business rules management system that effectively combines business resource optimization with complex event processing (CEP) technologies. It enables companies to accurately capture complex business logic while also facilitating the creation of applications that enhance decision-making efficiency. Moreover, Decision Manager 7 is designed to work seamlessly with the Red Hat Application Services suite and integrates effortlessly with Red Hat OpenShift®, allowing for deployment across hybrid cloud environments. This adaptability significantly boosts its attractiveness for contemporary businesses aiming to improve their operational effectiveness. Ultimately, the platform not only enhances decision-making capabilities but also aligns with the evolving needs of enterprises in a competitive landscape.
Learn more
Telepresence
You have the option to utilize your preferred debugging software to address issues with your Kubernetes services on a local level. Telepresence, an open-source solution, facilitates the execution of a single service locally while maintaining a connection to a remote Kubernetes cluster. Originally created by Ambassador Labs, known for their open-source development tools like Ambassador and Forge, Telepresence encourages community participation through issue submissions, pull requests, and bug reporting. Engaging in our vibrant Slack community is a great way to ask questions or explore available paid support options. The development of Telepresence is ongoing, and by registering, you can stay informed about updates and announcements. This tool enables you to debug locally without the delays associated with building, pushing, or deploying containers. Additionally, it allows users to leverage their preferred local tools such as debuggers and integrated development environments (IDEs), while also supporting the execution of large-scale applications that may not be feasible to run locally. Furthermore, the ability to connect a local environment to a remote cluster significantly enhances the debugging process and overall development workflow.
Learn more