Search Results for "input-leap"
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Showing 5 open source projects for "input-leap"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Numaflow
Kubernetes-native platform to run massively parallel data/streaming
Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices. Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured stream processing platform. -
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audit2rbac
Autogenerate RBAC policies based on Kubernetes audit logs
audit2rbac takes a Kubernetes audit log and username as input, and generates RBAC role and binding objects that cover all the API requests made by that user. -
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Kubeval
Validate your Kubernetes configuration files, supports Kubernetes
...However, kubectl will throw an error if you use it with such files. Kubeval can be used to simulate this behavior using the --strict flag. Alternatively, Kubeval can also take input via stdin which can make using it as part of an automated pipeline easier by removing the need to securely manage temporary files. -
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HOBBIT Java SDK Example
Integrate your benchmarks and systems into the HOBBIT platform
...You may extend the components with logic of your benchmark and debug the components as pure java codes by running the make test-benchmark command or execute checkHealth() method from ExampleBenchmarkTest) in IDE. You may specify input parameters models for benchmark and system you are running. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Azure Container Service Engine
Builds Docker Enabled Clusters
The Azure Container Service Engine (acs-engine) generates ARM (Azure Resource Manager) templates for Docker enabled clusters on Microsoft Azure with your choice of DC/OS, Kubernetes, OpenShift, Swarm Mode, or Swarm orchestrators. The input to the tool is a cluster definition. The cluster definition (or apimodel) is very similar to (in many cases the same as) the ARM template syntax used to deploy a Microsoft Azure Container Service cluster.
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