67 posts tagged with "Cloud"

Your application handles 100 requests per second during the day and 10,000 during flash sales. Running enough pods for peak traffic wastes money 95% of the time. Running too few means your app crashes when traffic spikes. Autoscaling solves this by matching your pod count and resource allocation to actual demand in real time.

Your load balancer is distributing traffic perfectly across three servers. Then a marketing campaign goes live and traffic triples in ten minutes. Two of your servers hit 100% CPU, response times spike to 8 seconds, and users start dropping off. You needed six servers, not three — but only for the next four hours. Auto Scaling adds and removes capacity automatically so you stop paying for servers you don't need and stop losing customers when you don't have enough.

Your application needs to handle traffic from users around the world, distribute requests across multiple backends, and survive server failures without dropping a single connection. Azure gives you four load balancing services, and picking the wrong one means either paying for features you do not need or missing capabilities you cannot live without. This guide breaks down each option so you can make the right call.

You've got three web servers running behind no load balancer. A user's request hits server 1, which is already at 95% CPU, while servers 2 and 3 are idle. Another user gets a timeout because server 1 crashed and there's nothing to redirect the traffic. Load balancers solve both problems — but AWS gives you three types, and picking the wrong one means paying more for less or missing features you actually need.

Your monolith is decomposing into microservices. The Order Service needs to tell the Inventory Service, Payment Service, and Notification Service that a new order was placed. You could make three synchronous HTTP calls and hope none of them time out. Or you could use messaging — fire a message and let each service pick it up independently. AWS gives you three ways to do this, and picking the wrong one leads to lost messages, duplicate processing, or an architecture that fights you at every turn.

You have learned Kubernetes concepts — pods, deployments, services. You have played with Minikube locally. Now you need to run a real production cluster, and the thought of managing etcd backups, control plane upgrades, and certificate rotations makes you want to reconsider your career choices. That is exactly why AKS exists. Azure manages the control plane for free. You manage your workloads.