- DevOps & Automation
Observability
Move From Simple Monitoring to Deep Understanding of Your Architecture
We implement observability platforms that combine logs, metrics, and traces to give you the ability to instantly find answers to the most difficult questions about your systems.
Do These Challenges Sound Familiar?
Complex architectures (microservices, containers) have introduced a new kind of chaos:
Black Box Architecture
Your systems have become so distributed that no one in the company can fully understand how data flows through them.
Long Mean Time to Resolution (MTTR)
When something breaks, finding the root cause takes hours or days, and teams shift responsibility.
Constant Firefighting
You learn about performance issues from frustrated customers, and your team spends time reactively fixing incidents instead of developing the product.
Inability to Optimize Performance
You know the application is running slowly, but you cannot precisely identify which service or query is the bottleneck.
See How It Works in Practice
Client:
E-commerce platform with microservices architecture.
Challenge:
The time to diagnose the causes of slowdowns during peak hours often exceeded 3 hours (high MTTR), negatively impacting user experience and sales.
Solution:
We implemented an observability platform based on the Prometheus, Loki, and Tempo stack, with visualization in Grafana. We instrumented key applications using OpenTelemetry to collect metrics, logs, and distributed traces.
Results:
Reduction of Mean Time to Resolution (MTTR) from 3 hours to 15 minutes.
Proactive identification and elimination of performance bottlenecks.
Increased platform stability and customer satisfaction.
Do you want to gain similar visibility and control over your systems?
See how we can achieve this in your organization.
Observability Platform Design and Implementation
We give your teams superpowers, allowing them to look deep into the most complex systems and understand how they work.
Platform Strategy and Design
We analyze your architecture and design an observability strategy that covers all three pillars: logs, metrics, and traces.
Implementation of the Three Pillars of Observability
We implement and configure tools for centralized collection and correlation of metrics, logs, and distributed traces.
Application and Infrastructure Instrumentation
We help your teams “instrument” their code and infrastructure, teaching them to send the appropriate data (telemetry) to the platform.
Building Unified Visualization Dashboards
We create interactive dashboards in Grafana that show the system status from both technical and business perspectives in one place.
Establishing intelligent Alerting
We help define key indicators and configure intelligent alerts that notify you of real problems, not noise.
Technologies That Provide Visibility
Your Path to Complete System Understanding
Our process is designed to deliver value quickly:
1.
Audit and Goal Definition
We assess your current monitoring capabilities and jointly define objectives, such as reducing MTTR by 50%.
2.
Platform Deployment and Pilot
We launch the central platform and connect one critical application to it to demonstrate its power in practice.
3.
Scaling and Instrumentation
We extend the solution to additional applications, supporting your teams in the instrumentation process.
4.
Building an Observability Culture
We train and support your teams in a new way of thinking about systems, transitioning from reactive to proactive reliability management.
Frequently Asked Questions
Monitoring tells you that something is wrong (e.g., “CPU 95%”). Observability allows you to understand WHY it is happening, providing tools for exploration in complex systems.
We prefer solutions based on open standards like OpenTelemetry to avoid vendor lock-in. We most often build platforms based on the Prometheus, Loki, Tempo, and Grafana stack.
They are its primary users, but the benefits extend to the entire organization. Developers see the impact of code on production, and the business gains confidence that systems are running stably.
Modern platforms and data collection agents are designed with minimal performance impact in mind.









