Orchestration

Orchestration in the context of data and microservices refers to the coordination and management of various services and processes to achieve a unified outcome. Much like a conductor leading an orchestra, orchestration involves directing multiple components to work together harmoniously. In data orchestration, this means integrating and processing data from various sources to generate valuable insights. In microservices architecture, orchestration manages the interactions between services, ensuring they communicate effectively and perform tasks in a coordinated manner. This approach contrasts with choreography, where each service operates independently based on predefined rules. Overall, orchestration is essential for efficient data management and service collaboration.

The What, Why, And When of Data Orchestration

 Analytics Vidhya

When most people hear the word orchestration, they envision an orchestra playing a symphony. At the front of every orchestra stands a conductor with his waving arms who prompts all the instruments in…...

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Orchestration and choreography

 ByteByteGo Newsletter

How do microservices collaborate and interact with each other? There are two ways: orchestration and choreography The diagram below illustrates the collaboration of microservices. Choreography is like...

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Orchestration-based sagas

 Software Architecture with C plus plus

In this case, we'll need a message broker to handle communication between our services, and an orchestrator that would coordinate the saga. Our order service would send a request to the orchestrator, ...

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Microservice Orchestration vs. Choreography

 Better Programming

How event-driven architecture helps decouple your app Continue reading on Better Programming

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Data Pipeline Orchestration

 Towards Data Science

DataOps teams use Data Pipeline Orchestration as a solution to centralize administration and oversight of end-to-end data pipelines. It is important to manage data pipelines right as it affects…

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The Tools Landscape for LLM Pipelines Orchestration (Part 1)

 The AiEdge Newsletter

Micro-orchestration VS Macro-orchestration

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Workflow Orchestration vs. Data Orchestration — Are Those Different?

 Towards Data Science

Workflow Orchestration vs. Data Orchestration — Are Those Different? Let’s disambiguate the terms to understand workflow orchestration better — with a real-life analogy! Photo by Artem Podrez from Pe...

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Making an Orchestrator From Scratch With Rust

 Better Programming

Building a way to handle queries and searches in multiple servers while also being able to turn the servers on In the context of microservices, an orchestrator is the brain of the system, which distr...

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Understanding container orchestration

 Software Architecture with C plus plus

Some of the containers' benefits only become apparent when you are using a container orchestrator to manage them. An orchestrator keeps track of all the nodes that will be running your workload, and i...

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Microservices Orchestration Best Practices and Tools

 Level Up Coding

(credits: thedigitaltransformationpeople) Software Architecture Patterns Optimizing microservices communication and coordination through orchestration pattern with an example in C Welcome to the excit...

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What Should a Data Orchestration Tool Do

 Better Programming

One of the battles in the data domain is data orchestration and what’s the best tool for it. You hear about tool X and how it is dead, doomed to be replaced by this new open source tooling. Or you hea...

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Designing ML Orchestration Systems for Startups

 Towards Data Science

This article covers the journey of architecture design, technical tradeoffs, implementation details, and lessons learned as a case study on designing a machine learning orchestration platform for…

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