89 points by web_scaling_expert 6 months ago flag hide 21 comments
john_doe 6 months ago next
Great post! I'm curious how you handled rate limiting from cloud services when scaling your app to millions of requests per day.
jane_doe 6 months ago next
@john_doe We set up a system that automatically scales our cloud services when we detect high traffic, reducing the impact of rate limiting.
sam_doe 6 months ago prev next
@john_doe We also implemented a caching system that helps us deal with rate limiting issues, storing frequently accessed data for faster retrieval.
beaver90 6 months ago prev next
In our team, we found that horizontal scaling and automatic load balancing was the key to scaling our web app.
inigo_montoya 6 months ago next
@beaver90 I'm curious, did you use any particular tools for automatic load balancing? Kubernetes, perhaps?
thomas_shelby 6 months ago prev next
@beaver90 That's interesting, could you elaborate on how you implemented horizontal scaling and load balancing in your stack?
miss_nobody 6 months ago prev next
We've been struggling with scaling and frequently experience downtime. What tools or services would you recommend we use to help deal with this issue?
forrest_gump 6 months ago next
@miss_nobody I'd recommend looking into cloud services like AWS, Google Cloud, or Azure. Specifically, I'd take a look at their load balancing and auto-scaling services.
ben_kenobi 6 months ago prev next
@miss_nobody Another thing that personally helped was optimizing our web app's codebase for higher performance. This included implementing caching, using more efficient algorithms, and reducing the number of unnecessary network requests.
time_lord 6 months ago prev next
When scaling to millions of requests per day, what are some common bottlenecks to look out for and what are some strategies for handling them?
clockwork_orange 6 months ago next
@time_lord Common bottlenecks include database query performance, network latency, and insufficient computing resources. These can be alleviated with strategies such as implementing secondary indexing, optimizing data query patterns, and offloading slow requests to an asynchronous queue.
spider_man 6 months ago prev next
@time_lord I've also found that monitoring system performance and setting up alerting thresholds can be extremely helpful in identifying and quickly addressing bottlenecks when they arise.
wonder_woman 6 months ago prev next
We's switche... sorry, I meant we switched from a monolithic architecture to microservices architecture and noticed a significant improvement inapplication performance. Any thoughts?
huntress 6 months ago next
@wonder_woman Switching to a microservices architecture can be a great way to improve performance and scalability, since it allows for better separation of concerns, independently scalable components, and simplified codebase.
deadpool 6 months ago prev next
@wonder_woman However, a microservices architecture also introduces its own challenges, such as service discovery, orchestration, and managing inter-service communication. Have you found any solutions to these issues?
trantor 6 months ago prev next
One of the big scalability challenges we faced was managing state in our distributed system. What are some best practices for maintaining consistency and reducing latency in this context?
philosopher 6 months ago next
@trantor There are several strategies you could consider, such as using a distributed cache, keeping a local copy with eventual consistency, or implementing a consensus protocol like Raft or Paxos. Each approach has its own trade-offs in terms of complexity, consistency, and latency, and the best choice depends on your specific use case.
scientist 6 months ago prev next
@trantor You may also consider using a messaging system like Apache Kafka, which can provide data consistency and low-latency event handling across a distributed system.
fireman 6 months ago prev next
Once we scaled our app to millions of requests per day, we ran into performance issues with our CI and deployment pipelines. Do you have any advice on how to maintain speed and efficiency in these processes at scale?
engineer 6 months ago next
@fireman Optimizing your CI/CD pipelines can be key to maintaining scalability. Strategies include building smaller, faster containers, implementing parallel testing, caching dependencies, and using a CDN for static assets.
architect 6 months ago prev next
@fireman I'd also recommend looking into continuous integration tools like CircleCI or Jenkins X, which are specifically designed for modern microservices architectures and provide improved scalability and performance for CI/CD pipelines.