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The workers communicate with the server using pre-defined APIs over HTTP or gRPC. Conductor provides lightweight libraries to manage worker states in Java, Python and Go and additional languages can be used to implement logic using provided APIs. Conductor uses pluggable architecture model allowing for different databases to store its states.
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.
Flask is a micro web framework written in Python.It is classified as a microframework because it does not require particular tools or libraries. [2] It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions.
The platform is designed for building real-time microservices based applications with a clusterization option. Enduro/X functions as an extended drop-in replacement for Oracle Tuxedo . The platform uses in-memory POSIX message queues which insures high inter-process communication throughput.
It generates cross-platform client and server bindings for many languages. Most common usage scenarios include connecting services in a microservices style architecture, or connecting mobile device clients to backend services. [3] As of 2019, gRPC's use of HTTP/2 makes it impossible to implement a gRPC client in a browser, instead requiring a ...
AWS Lambda is an event-driven, serverless Function as a Service (FaaS) provided by Amazon as a part of Amazon Web Services.It is designed to enable developers to run code without provisioning or managing servers.
Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge; Ambari: makes Hadoop cluster provisioning, managing, and monitoring dead simple; Ant: Java-based build tool
It is common for microservices architectures to be adopted for cloud-native applications, serverless computing, and applications using lightweight container deployment. . According to Fowler, because of the large number (when compared to monolithic application implementations) of services, decentralized continuous delivery and DevOps with holistic service monitoring are necessary to ...