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Kubernetes provides two modes of service discovery, using environment variables or using Kubernetes DNS. [59] Service discovery assigns a stable IP address and DNS name to the service, and load balances traffic in a round-robin manner to network connections of that IP address among the pods matching the selector (even as failures cause the pods ...
Dapr (Distributed Application Runtime) is a free and open source runtime system designed to support cloud native and serverless computing. [2] Its initial release supported SDKs and APIs for Java, .NET, Python, and Go, and targeted the Kubernetes cloud deployment system.
Google Kubernetes Engine (GKE) or GKE on-prem offered as part of Anthos platform [11] [12] – Containers as a Service based on Kubernetes. Cloud Functions – Functions as a Service to run event-driven code written in Node.js, Java, Python, or Go. Cloud Run – Compute execution environment based on Knative. [13]
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
A service account or application account is a digital identity used by an application software or service to interact with other applications or the operating system. They are often used for machine to machine communication (M2M), for example for application programming interfaces (API). [ 1 ]
OSM was written in the Go programming language and designed to be a reference implementation of the Service Mesh Interface (SMI) specification, a standard interface for service meshes on Kubernetes. [5]
The open-source Pulumi CLI and SDKs allows users to manage cloud infrastructure resources [3] in Cloud Providers such as AWS, Azure, Google Cloud, and Kubernetes. [4] using programming languages such as Go, JavaScript, TypeScript, [5] Python, Java, C# and YAML. Pulumi's Automation API supports provisioning infrastructure via programmatic ...
Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes introduced by Google.The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development (Kubeflow Notebooks [4]), model training (Kubeflow Pipelines, [5] Kubeflow Training Operator [6]), model serving (KServe [a] [7]), and ...