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Case Study

Strengthening Monitoring Stability and Supporting Scalable Growth in Energy Industry

Challenge
As the platform grew, so did the complexity of its monitoring landscape. More customers, more data sources, and more services meant that the existing setup was struggling to keep pace. Grafana dashboards were becoming slow and occasionally unstable, alerts were noisy, and operational tasks were piling up internally.

Each new client added another layer of variability—different infrastructures, different needs, different configurations. Without standardized processes, onboarding took time and effort, and documentation often lagged behind reality.

Meanwhile, multiple modules and services required updates, and cloud environments had accumulated unused or oversized resources that increased costs unnecessarily. Looking ahead, the team planned to support deployments across different cloud providers, which required a clear strategy and validation.

In short: the monitoring system needed more stability, the operations workflow needed relief, and the overall infrastructure needed to be ready for future growth.

What We Did
To build a reliable, scalable foundation, we supported the team across several areas.

Stabilizing the Monitoring Stack

We started by improving the performance and reliability of the Grafana environment. Dashboards were optimized, metrics were cleaned up, and alerting was restructured to reduce noise and increase accuracy. Backup and failover strategies were strengthened, ensuring the system could handle load without interruptions.

Taking Over Operational Responsibility

To reduce internal workload, we assumed ownership of several recurring tasks.
This included maintaining monitoring configurations, managing deployments, debugging issues, and automating processes that previously required manual effort. This shift allowed the internal team to focus on strategic work instead of day-to-day firefighting.

Supporting New Client Setups

We streamlined and standardized the onboarding of new customers. Environments were prepared, services activated, and dashboards tailored to each client’s needs. This created a smoother, more predictable setup flow and reduced the time required for each new implementation.

Updating and Expanding Documentation

Documentation was rewritten and reorganized to reflect the current state of the system. Architecture descriptions, deployment instructions, and operational playbooks were brought up to date, ensuring clarity and consistency across the team.

Module and Service Upgrades

Outdated modules and dependencies were upgraded, including Grafana, Prometheus, exporters, and libraries. Security patches were applied and legacy components were refactored to ensure long-term maintainability.

Cost Optimization Across Cloud Environments

We reviewed existing cloud deployments, identified unnecessary or oversized resources, and removed duplication where possible. These optimizations reduced costs without affecting performance or stability.

Developing a Multi-Cloud Proof of Concept

To prepare for future expansion, we created a Proof of Concept that deployed three separate client setups on three different cloud providers. The PoC demonstrated that deployments and monitoring could be standardized across environments, forming the basis for a scalable, multi-cloud architecture.

Results

The collaboration led to clear technical and operational improvements across the entire platform:

  • More stable and faster monitoring dashboards thanks to optimized Grafana and refined metrics

  • Fewer incidents and interruptions, with alerting and system behavior now more predictable

  • Faster onboarding of new clients, supported by standardized processes and clearer documentation

  • Reduced operational workload, freeing the internal team for higher-value tasks

  • Lower cloud costs through targeted resource optimization

  • A modernized and secure module stack, ready for future updates

  • A validated multi-cloud approach, proven through the PoC and ready for scaling

  • A stronger, more resilient foundation for continued growth

What Made It Work
After implementation, the platform achieved a measurable leap in reliability, performance, and security.

We didn’t just drop tools into place—we guided the architecture from the ground up. From early decisions around infrastructure design to ensuring out-of-the-box compliance readiness, we focused on delivering something that worked from day one, but wouldn’t get in the way later.

  • Zero-to-One Guidance — Full-stack setup, from design to deployment

  • Compliance Built In — No last-minute scrambling for audits

  • Infrastructure as Code — Repeatable, scalable, auditable from the start

  • Self-Service DNA — Teams can move fast without needing ops bottlenecks

What This Means Moving Forward
After implementation, the platform achieved a measurable leap in reliability, performance, and security.

These improvements created more than a stable monitoring system—they built the groundwork for sustainable growth. The platform can now handle new clients efficiently, scale across multiple cloud providers, and operate with predictable reliability. Teams spend less time putting out fires and more time innovating.

The monitoring stack is no longer just a tool; it has become an enabler of future capabilities.

Final Word
After implementation, the platform achieved a measurable leap in reliability, performance, and security.

Every fast-growing platform eventually reaches a point where monitoring, operations, and infrastructure need to evolve. By stabilizing the foundation, automating repetitive work, and validating a multi-cloud strategy, we helped transform a reactive operational environment into a forward-looking, scalable system.

This project demonstrates how the right infrastructure improvements can unlock agility, reduce costs, and prepare a product for its next stage of growth—without slowing down the teams behind it.

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Conclusion
This project shows how a well-designed cloud architecture can transform operational stability and speed.
The new environment can recover itself through Infrastructure as Code, scale automatically under load, and detect issues before they impact users. Security layers with Cloudflare WAF and DDoS protection keep the edge clean, while improved monitoring and alerting mean problems are fixed in minutes, not hours.
Performance is now predictable. Traffic spikes no longer cause downtime. Data flows seamlessly through Redis, Kafka, and ClickHouse — powering real-time operations with speed and stability. Today, the platform runs on a self-healing, compliant, and future-proof foundation that gives both developers and operations teams what they need most: confidence.
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