From Months to Days: How HeyLink.me Transformed with StackBooster Migration & Autoscaling Efficiency

HeyLink.me, a platform trusted by over 7.75 million users across 195 countries, enables seamless connection of multiple links, empowering users to effectively manage their audiences and maximize the impact of their digital initiatives. Designed with a mobile-first approach, it operates flawlessly across all social media platforms.

The Challenge: Scaling with Nomad

HeyLink.me experienced exponential growth, its existing infrastructure, managed by Nomad, faced challenges in scaling efficiently. The dynamic nature of user engagement required a system capable of predictive scaling to maintain high availability. Concerns arose over the complexity of scaling both infrastructure and applications in such an environment, leading to a tendency toward overprovisioning resources to ensure reliability. This approach, while safe, resulted in increased operational costs and resource inefficiencies.

The Complexity of Migrating from Nomad to Kubernetes

Transitioning from Nomad to Kubernetes is often perceived as a complex and time-consuming process. Kubernetes' intricate architecture, comprising multiple interoperating services, can introduce operational challenges during migration. Tasks such as redefining deployment configurations, establishing service discovery mechanisms, and ensuring compatibility with existing workloads require meticulous planning and execution. Without expert guidance, such migrations can span several months, incurring significant costs and resource allocation.

The Solution:

1) StackBooster Zero-Code Kubernetes infrastructure modernisation

To address these challenges, HeyLink.me partnered with StackBooster, whose zero-code Kubernetes solution facilitated the setup of a production-ready cluster adhering to industry standards within days. StackBooster approach streamlined the migration process, enabling HeyLink.me to bypass the typical complexities associated with Kubernetes adoption. Integrated observability tools provided real-time insights into system performance, ensuring a seamless transition with minimal disruption. This expedited migration saved HeyLink.me an estimated $30,000 in time and resources, reducing the projected three-month timeline to less than two weeks.

2) ML-driven Predictive Autoscaling and Rightsizing

StackBooster predictive autoscaling and rightsizing capabilities alleviated the burden on the HeyLink.me technical team. By leveraging machine learning algorithms, StackBooster optimized resource allocation, ensuring applications received the necessary resources precisely when needed. This dynamic adjustment prevented overprovisioning and conserved resources. During initial testing on a single application within the cluster, the team observed significant cost savings attributed to StackBooster machine learning capabilities. As one team member noted,

"We tested on one app in the cluster and were amazed at how StackBooster machine learning was saving us money."

After a month, the savings were even more substantial as the machine learning models gained deeper insights, leading to further optimizations.

"After a month, savings were even bigger after their ML got more insight," remarked another team member.

Results Achieved

1) Accelerated Kubernetes Adoption and Cost Savings: HeyLink.me migration to Kubernetes was completed in less than two weeks, significantly faster than estimated 3 months, resulting in savings of approximately $32,000 in time and resources.

2) Infrastructure Cost Reduction: Implementing StackBooster node autoscaler led to a 43% decrease in infrastructure costs.

3) Enhanced Performance and Additional Savings: After enabling StackBooster proactive 3-dimensional autoscaling, HeyLink.me achieved an additional 37% cost savings and improved application latency by 24% during peak loads. This was accomplished through application rightsizing, predictive scaling, and cluster binpacking.

Conclusion

HeyLink.me collaboration with StackBooster exemplifies how leveraging advanced, zero-code Kubernetes solutions can streamline complex migrations, enhance scalability, and achieve significant cost savings. By adopting StackBooster predictive autoscaling and rightsizing technologies, HeyLink.me not only optimized its infrastructure but also ensured high availability and improved performance, positioning the platform for sustained growth and success in the dynamic digital landscape.