In poker, prior to the start of a big match or a tournament, tables fill up rapidly, traffic can spike from calm to chaos in a matter of seconds. Auto-scaling is the feature that helps you to keep your site fast, stable, and firm, saving cost, time, and efforts.
Auto-scaling is a cloud feature that adds servers at a time when traffic spikes and removes them when it dips. Think of it like lanes opening on a highway during peak times and the traffic is normal. It is widely adopted by the gaming companies for its flexibility, adaptability, and cost-effectiveness. Simply put, it controls carbon emissions as we move towards a greener world, by putting idle servers to sleep when the traffic is low. Major clouds do this automatically for their virtual machines through managed instance groups/auto scaling groups and containers via Kubernetes Horizontal Pod Autoscale.
Most of these surges are predictable and consistently happen, which is why these websites must be prepared to scale up to handle these.
To handle scaling perfectly, horizontal scaling is the perfect way to go and is also widely adopted.
These elements combine together to make your poker website, a resilient and scalable platform.
Use scheduled scaling for known peak times like described in the above situations:
Gamiotech has several years of experience in development of scalable and high-performance gaming platforms and has already applied auto-scaling to poker web sites and can accommodate millions of users at once with an excellent track record of no downtime. With a proven record of having provided autoscaling services like load balancing, caching, and optimization of the clouds, we can guarantee that your platform will remain fast, stable, and affordable handling all kinds of traffic. Partnering with us puts you one step ahead of your competitors
Auto-scaling is not some rocket science or indecipherable magic, it’s just a mix of the right metrics, efficient planning with the right tools. It is especially very important for poker sites to avoid server breakage and save costs.
Begin with request rate (RPS) and p95 latency as they impact user experience more directly than CPU. Queue depth is also very important to event-based activities such as live scoring.
Block fake traffic by adding a WAF, rate limits, and bot check. That keeps your autoscaling just responding to real players, not bots & noises.
Not really, you need to have caching, replicas and optimised schemas to lower the load on the database. Autoscaling is useful to the app servers, yet it's important for the database to have its own scaling process.
Absolutely - they reserve capacity in advance just in front of known peaks such as match kick-off or registration. It allows time to allow new servers to warm up and avoids last minute load on the servers.