About Microservices.io

Microservices.io is brought to you by Chris Richardson. Experienced software architect, author of POJOs in Action, the creator of the original CloudFoundry.com, and the author of Microservices patterns.

Chris helps clients around the world adopt the microservice architecture through consulting engagements, and training classes and workshops.

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Chris offers numerous resources for learning the microservice architecture.

Training classes

Chris teaches comprehensive workshops and training classes for executives, architectures and developers to help your organization use microservices effectively.

Avoid the pitfalls of adopting microservices and learn essential topics, such as service decomposition and design and how to refactor a monolith to microservices.


Get the book: Microservices Patterns

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Example microservices applications

Want to see an example? Check out Chris Richardson's example applications. See code

BUILD microservices

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Consulting services

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The Eventuate platform

Use the Eventuate.io platform to tackle distributed data management challenges in your microservices architecture.

Eventuate is Chris's latest startup. It makes it easy to use the Saga pattern to manage transactions and the CQRS pattern to implement queries.

ASSESS your architecture

Assess your application's microservice architecture and identify what needs to be improved.

Consulting services

Engage Chris to conduct an architectural assessment.


Self assessment

Alternatively, conduct a self-assessment using the Microservices Assessment Platform.


Join the microservices google group

Pattern: Service instance per container

Context

You have applied the Microservice architecture pattern and architected your system as a set of services. Each service is deployed as a set of service instances for throughput and availability.

Problem

How are services packaged and deployed?

Forces

  • Services are written using a variety of languages, frameworks, and framework versions
  • Each service consists of multiple service instances for throughput and availability
  • Service must be independently deployable and scalable
  • Service instances need to be isolated from one another
  • You need to be able to quickly build and deploy a service
  • You need to be able to constrain the resources (CPU and memory) consumed by a service
  • You need to monitor the behavior of each service instance
  • You want deployment to reliable
  • You must deploy the application as cost-effectively as possible

Solution

Package the service as a (Docker) container image and deploy each service instance as a container

Examples

Docker is becoming an extremely popular way of packaging and deploying services. Each service is packaged as a Docker image and each service instance is a Docker container. There are several Docker clustering frameworks including:

Resulting context

The benefits of this approach include:

  • It is straightforward to scale up and down a service by changing the number of container instances.
  • The container encapsulates the details of the technology used to build the service. All services are, for example, started and stopped in exactly the same way.
  • Each service instance is isolated
  • A container imposes limits on the CPU and memory consumed by a service instance
  • Containers are extremely fast to build and start. For example, it’s 100x faster to package an application as a Docker container than it is to package it as an AMI. Docker containers also start much faster than a VM since only the application process starts rather than an entire OS.

The drawbacks of this approach include:

  • The infrastructure for deploying containers is not as rich as the infrastructure for deploying virtual machines.

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