How Rapyd solved observability gaps to cut Kubernetes costs by 40%
Learn how Rapyd overcame observability limits with PerfectScale by DoiT to cut Kubernetes costs and boost app stability.
Riftweaver is an innovative gaming studio that brings tabletop role-playing (RPG) gaming to users on mobile devices, and it has made big strides recently. From launching its flagship game to introducing gameplay on platforms like Steam and iPads, Riftweaver’s game has over 80,000 downloads. With a small team of just 15 employees, Riftweaver’s backend infrastructure is managed by a single DevOps engineer, Rumby Osei,who ensures the game’s infrastructure performance, efficiency, and scalability – all while delivering a seamless experience for its growing player base.
“When I joined Riftweaver, the game wasn’t scaling or handling production-ready load. My role was to get us there.” This was the initial remit of the DevOps function at Riftweaver – and Osei was eager to address it.
As the Riftweaver gaming studio prepared to move from closed beta to early access and public launch, Osei knew that an unpredictable game player load would put immediate pressure on the product in terms of its scalability and performance.
This cloud-native modern apps gaming provider runs. With a production cluster and multiple non-production environments running on AWS EKS, Osei relied on Cluster AutoScaler (CAS) for node scaling and Horizontal Pod Autoscaler (HPA) for pod scaling. However, when some of its services began to have throttling issues, she looked to Kubernetes Vertical Pod Autoscaler (VPA) for assistance, but quickly hit several roadblocks.
“VPA didn’t provide historical data or let me generate consistent results. I couldn’t go back and see what had changed over time. I even had to write a script to pull down all the VPAs for each deployment just to compare data.”
This created several key challenges for Riftweaver, including:
Rumby Osei began looking for a solution that could help her make more data-driven right-sizing decisions, reduce performance bottlenecks, and provide actionable insights into resource usage. After a discussion with PerfectScale’s team, Rumby saw its potential to bridge the gap between load-testing predictions and real-world user behavior to improve the resiliency of her workloads.
PerfectScale’s intuitive interface, robust analytics, and actionable recommendations made it an attractive tool for Riftweaver’s small but dynamic team. Features like environmental impact tracking and HPA visibility also aligned with the studio’s forward-thinking approach to infrastructure management.
With PerfectScale, Riftweaver can now address their needs for performance, efficiency and scalability in several key ways:
These outcomes make PerfectScale an integral part of Osei’s infrastructure strategy. “PerfectScale’s UI and risk profiles gave me confidence in the recommendations. It also introduced features I hadn’t seen before—like monitoring environmental impact with CO2 tracking.”
Improvements like these are foundational in supportingRiftweaver to scale with efficiency as it meets growing demand.
Key outcomes include
“PerfectScale has been a game-changer. The insights have not only solved immediate issues but also prepared us for future growth as we expand to more platforms and users.”
By leveraging PerfectScale, Riftweaver has optimized its Kubernetes environment, ensuring scalability, reliability, and a superior player experience. As the studio continues to grow, PerfectScale remains an important partner in its journey to deliver exciting, lag-free gameplay to players worldwide.
Learn how Rapyd overcame observability limits with PerfectScale by DoiT to cut Kubernetes costs and boost app stability.
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