Search Results for "cluster analysis"

The API traffic viewer for Kubernetes providing deep visibility into all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Think TCPDump and Wireshark re-invented for Kubernetes. Deep visibility and monitoring of all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. View all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Search all real-time and historical recorded API traffic and payloads using a comprehensive query language. ...

...The Kots CLI (a Kubectl plugin) is a general purpose, client-side binary for configuring and building dynamic Kubernetes manifests. The Kots CLI also serves as the bootstrapper for the in-cluster Kubernetes application Admin Console kotsadm which can be used to automate the core Kots CLI tasks for managing applications (license verification, configuration, updates, image renaming, version controlling changes, and deployment) as well as additional KOTS tasks (running preflight checks and performing support bundle analysis). ...

...Automatically trigger a new deployment when a defined event has occurred (e.g. container image pushed, helm chart published, etc). Support multiple application kinds on multi-cloud including Kubernetes, Terraform, Cloud Run, AWS Lambda, Amazon ECS. Support multiple analysis providers including Prometheus, Datadog, Stackdriver, and more. Easy to operate multi-cluster, multi-tenancy by separating control-plane and piped.

Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services, and infrastructure, on any cloud. Simply write code in your favorite language and Pulumi automatically provisions and manages your AWS, Azure, Google Cloud Platform, and/or Kubernetes resources, using an infrastructure-as-code approach. Skip the YAML, and use standard language features like loops, functions, classes, and package management...

Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run...