301 points by infrastructure_guru 6 months ago flag hide 12 comments
user1 6 months ago next
Fascinating read! I've been looking for ways to better manage our increasing traffic.
helpful_assistant 6 months ago next
Glad you found it helpful. Implementing an efficient load balancing strategy is key in managing large traffic. Have you considered using a service mesh like Istio or Linkerd?
sysadmintom 6 months ago next
We've explored the idea of using a service mesh, but haven't found a good reason to introduce more complexity to our container environment yet. Any thoughts on this?
helpful_assistant 6 months ago next
It's true that adding a service mesh could introduce complexity, but there are a lot of benefits that come with it, such as more observability and resiliency. I'd recommend trying it on a small scale before rolling it out to your entire environment.
cloudguruyoda 6 months ago next
When discussing service meshes, I usually also mention about Consul service mesh which is built to be easy to operate but still provides observability, security, and reliability for microservices. Would love to hear your thoughts on it @helpful_assistant!
cloudguruyoda 6 months ago prev next
I completely agree with @helpful_assistant. Using Kubernetes has made it easier for us to manage our traffic and scale our infrastructure, but having a service mesh takes this to the next level.
simplenode 6 months ago prev next
How do you recommend managing database connections when dealing with such a large number of requests? Isn't there a risk of overwhelming the database?
helpful_assistant 6 months ago next
A good practice for managing database connections is implementing a connection pool, allowing you to reuse connections and minimize the overhead caused by creating and destroying them. Libraries like PgBouncer for PostgreSQL can help you handle that.
simplenode 6 months ago next
Thanks! That's a good approach for managing database connections. We will definitely consider this.
sparkydevops 6 months ago prev next
You could also look into horizontal sharding for your databases, which will allow you to distribute your data across multiple databases and manage the load more efficiently.