How Impect Cut Infrastructure Costs While Accelerating Football Data Processing

Impect GmbH sits at the intersection of professional football and data science. Their platform captures, processes, and delivers match analytics to clubs, scouts, and media organizations across Europe. Every match generates a massive volume of data - player movements, event logs, and statistical models - all of which must be processed, stored, and served with minimal latency.

Behind the scenes, the infrastructure was under strain. Impect's Kubernetes clusters managed extensive workloads, but scaling decisions were reactive rather than planned. Databases grew as the client base expanded. File storage accumulated without a clear retention or optimization strategy. Backups existed, but no one had tested recovery scenarios under real conditions.

DevOps processes were ad hoc. Monitoring was incomplete, meaning the team often discovered issues after users reported slowdowns. The cost of their cloud provider was climbing, but switching providers felt risky - any migration misstep could disrupt data delivery to clients who depend on real-time analytics.

Impect needed more than a quick fix. They needed a systematic overhaul of their DevOps practices, a cost-efficient cloud strategy, and the confidence that their infrastructure could scale with their growing client base without breaking.

Impect needed a partner who understood Kubernetes at a production level - not from tutorials, but from running real workloads at scale. They also needed someone who could guide a cloud provider migration without disrupting the data pipelines their clients relied on daily.

easy.bi brought both. The team had deep experience with Kubernetes cluster management, cloud architecture design, and provider migrations. Equally important, easy.bi's approach was consultative - working alongside Impect's team to build internal capabilities, not just deliver a one-time fix.

Infrastructure audit and optimization. easy.bi started by mapping Impect's entire infrastructure - Kubernetes clusters, databases, file storage, and monitoring gaps. The team identified resource waste, unoptimized storage patterns, and database queries that were slowing down data processing. Each finding came with a concrete fix and a priority ranking.

Kubernetes cluster optimization. The clusters were restructured for efficiency. Resource limits were tuned, scaling policies were updated, and workloads were rebalanced across nodes. The goal was to get more processing power from fewer resources - a prerequisite for any cost reduction.

Backup and monitoring overhaul. easy.bi implemented comprehensive monitoring across the entire stack. Alerting rules were defined so the team would know about problems before users did. Backup strategies were redesigned with tested recovery procedures, giving Impect confidence that data was protected even during a migration.

Cloud provider migration. With the infrastructure optimized and fully monitored, easy.bi guided the migration to a new cloud provider. The process included architecture design for the new environment, provider evaluation and selection, and a phased migration plan that maintained data availability throughout the transition.

Knowledge transfer and process documentation. Every change was documented. easy.bi worked directly with Impect's team to ensure they understood the new architecture, could run the monitoring systems independently, and had playbooks for common operational scenarios.