Recently, I was excited to buy an Apple M1 MacBook: lots of cores and memory. I couldn’t wait to start using it for development so I tried running the Eventuate Tram Customers and Orders example application, which illustrates how to use the Sagas and CQRS patterns to implement operations that span multiple services. Sadly, running this application on my shiny new MacBook wasn’t straightforward due to problems running Docker containers.
This is the first of series of posts that describe what I needed to do to run the application successfully. The other articles in this series are:
It turns out that Apple M1 ARM-based architecture is a double edged sword. On the one hand, it is an energy efficient, high-performance architecture. But on the other hand, it’s a new entrant into the world of server-side development, which has been traditionally been dominated by Intel.
The problem is that Docker images are not inherently portable across multiple architectures. Many Docker images including those used by the example application are Intel specific. Docker Desktop for Mac uses QEMU to run Intel-based images on ARM. But sadly, the emulation is less than perfect. The documentation even describes it as ‘running Intel-based containers on Arm-based machines should be regarded as “best effort” only.’ While some containers run without problems, others crash or have poor performance.
The Customer and Order applications runs several infrastructure services using the following pre-built Docker container images, which are all Intel-based:
eventuateio/eventuate-mysql- fails to start with
runtime: failed to create new OS thread (have 2 already; errno=22)
eventuateio/eventuate-cdc-service- frequently hangs or crashes
confluentinc/cp-zookeeper:5.2.4- seem unreliable
openzipkin/zipkin:2.21- seems fine although it might run slowly
mongo:3.6- seems fine
These pre-built container images aren’t the only images used by the Customer and Orders application.
The application also packages its three services as Docker images.
Those images are built using the
eventuateio/eventuate-examples-docker-images-java-example-base-image base image, which is an Intel-based image.
Despite being built locally, these images are also Intel and either crash or run extremely slowly - appearing to take 4x longer to startup.
The solution is to change the application to use multi-architecture Docker images that support both the Intel and ARM architectures.
Hopefully, I can simply find newer multi-architecture versions of the Confluent platform and Zipkin images on Docker Hub.
It also requires changing the Eventuate platform to build multi-architecture
eventuate-examples-docker-images-java-example-base-image container images.
In later articles starting with Building multi-architecture Docker images for Intel and ARM, I describe the changes to application and the Eventuate platform that are needed to run this application on my MacBook. 00
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 workshops.
Chris teaches comprehensive workshops for architects and developers that will enable 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.Learn more
Chris offers numerous other resources for learning the microservice architecture.
Want to see an example? Check out Chris Richardson's example applications. See code
Got a specific microservice architecture-related question? For example:
Consider signing up for a two hour, highly focussed, consulting session.
My virtual bootcamp, distributed data patterns in a microservice architecture, is now open for enrollment!
It covers the key distributed data management patterns including Saga, API Composition, and CQRS.
It consists of video lectures, code labs, and a weekly ask-me-anything video conference repeated in multiple timezones.
The regular price is $395/person but use coupon MECNPWNR to sign up for $120 (valid until May 16th, 2023). There are deeper discounts for buying multiple seats.
Take a look at my Manning LiveProject that teaches you how to develop a service template and microservice chassis.
Engage Chris to create a microservices adoption roadmap and help you define your microservice architecture,
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.
Engage Chris to conduct an architectural assessment.
Note: tagging is work-in-process
anti-patterns · application api · application architecture · architecting · architecture documentation · assemblage · beer · containers · dark energy and dark matter · deployment · design-time coupling · development · devops · docker · eventuate platform · glossary · hexagonal architecture · implementing commands · implementing queries · inter-service communication · kubernetes · loose coupling · microservice architecture · microservice chassis · microservices adoption · microservicesio updates · multi-architecture docker images · observability · pattern · refactoring to microservices · resilience · sagas · security · service api · service collaboration · service design · service discovery · service granularity · service template · software delivery metrics · success triangle · tacos · team topologies · transaction management · transactional messaging