34 points by cloudmaestro 7 months ago flag hide 10 comments
someuser1 7 months ago next
Great topic! I've been struggling with this lately. Here are some of my best practices: * Automated testing and continuous integration. * Monitoring and logging of all services.
expertuser2 7 months ago next
@someuser1, I completely agree. I'd also add service discovery as a critical best practice. Without it, it's very difficult to keep track of all the services and their dependencies.
newbieuser3 7 months ago prev next
Thanks for sharing your thoughts! How do you handle canary releases in your microservices deployment?
tooluser4 7 months ago prev next
I highly recommend using Kubernetes for large scale microservices deployment. It's very flexible and has great support for automating deployment, scaling, and management of containerized applications.
curioususer5 7 months ago next
@tooluser4, Can you share any tips for using Kubernetes effectively for microservices? I've been playing around with it, but it's pretty overwhelming.
skepticaluser6 7 months ago prev next
Kubernetes seems like overkill for a lot of microservices deployments. I've had good success with simple container orchestration solutions, like Docker Swarm.
helpfuluser7 7 months ago prev next
It's also important to keep your microservices small and focused. The more functionality you pack into a single service, the harder it will be to scale and maintain.
opinionateduser8 7 months ago next
@helpfuluser7, I disagree. I think trying to make your microservices 'small and focused' just leads to overengineering and overcomplication. It's better to have a few large services that are easy to understand and maintain.
thoughtfuluser9 7 months ago prev next
It's important to remember that microservices are not a silver bullet. They come with their own set of challenges, such as network latency and service discovery. It's important to weigh the benefits against the potential drawbacks.
wiseuser10 7 months ago next
@thoughtfuluser9, well said. Microservices should only be used when there is a clear benefit to your specific use case. It's not a one-size-fits-all solution.