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Technology expertise

Monitoring

Our monitoring practices cover real-time observability, alerting, and diagnostics across systems. We utilize tools such as OTEL Operator, Prometheus, Grafana, and Loki to ensure operational excellence.

Expertise

Enterprise monitoring and observability framework

We specialize in building sophisticated monitoring and observability frameworks for enterprise-grade environments. Leveraging industry-leading tools combined with AI-powered analytics, our typical client deployments achieve exceptional performance benchmarks, regularly maintaining 99.99% system availability and reducing mean-time-to-resolution (MTTR) by 68% compared to conventional systems.

99,99%
System availability

68%
Faster resolution time

Core monitoring components

Strategic development units delivering outcomes, not just effort.

Metrics intelligence

We regularly implement OTEL and Prometheus as the quantitative backbone of our enterprise monitoring stacks. Typical deployments for our clients handle substantial workloads, often exceeding 2.3 million time-series samples per second in complex, distributed environments.

Dimensional data modeling
Our metric tagging practices consistently enable granular filtering by over 150 attributes such as region, service tier, and API endpoint, while proactively preventing high-cardinality issues through enforced labeling standards.
Predictive alerting
We routinely deploy predictive LSTM models analyzing historical datasets spanning 3 to 18 months. These models provide alerts approximately 20 minutes before threshold breaches, significantly improving response times.
Hierarchical federation
Our clients benefit from multi-cluster aggregation setups that enable isolated yet unified observability, essential for global SLO tracking across geographically dispersed deployments.

Advanced log analytics

Our enterprise logging implementations regularly convert massive volumes of unstructured log data into actionable operational insights.

Schema-on-read flexibility
Standard daily ingestion surpassing 1.2TB of log data without predefined mappings, ensuring maximum adaptability.
NLP-powered search capabilities
Our standard deployments enable intuitive, natural language queries (e.g., "errors during checkout flow past hour"), drastically reducing troubleshooting time.
GDPR-compliant data handling
We routinely implement automated PII masking capabilities, effectively covering over 200 different log formats, ensuring regulatory compliance across multinational operations.

Distributed tracing

We consistently leverage OTEL-based, vendor-neutral distributed tracing to provide visibility into complex microservice interactions, delivering clear operational benefits across typical enterprise environments.

Dependency analysis
Regularly uncovering circular dependencies across deployments involving 1000+ interconnected services.
Latency insights
Pinpointing performance bottlenecks, such as the slowest 5% of database queries within extensive databases often comprising 200+ shards.
Cost attribution
Typically mapping API call chains directly to cloud spending at the departmental level, enabling precise financial accountability.

Data observability

We assist our clients in achieving robust data observability, enhancing their ability to ensure data quality, reliability, and actionability throughout the data lifecycle. 

Freshness

Ensuring data reflects current conditions through machine learning-driven dynamic thresholds.

Distribution

Applying statistical process control (SPC) to identify concept changes in data patterns, aiding early detection of anomalies.

Volume

Monitoring dataset relationships to predict and manage infrastructure scaling needs.

Schema

Automatically detecting structural changes and assessing impact in real-time, supporting schema-on-read flexibility.

Lineage

Mapping data journeys granularly for precise compliance and audit readiness.

AI-driven observability enhancements (AIOps)

Experience a more proactive approach to monitoring and observability. Contact us now!

Intelligent trace analytics
Our typical enterprise deployments leverage advanced AI to automatically identify anomalies and detect patterns within vast trace data, rapidly isolating root causes and predicting potential service disruptions before they occur.
Automated incident prediction
Utilizing sophisticated AI models trained on continuous operational data, our solutions proactively highlight subtle anomalies and generate early warnings, substantially minimizing downtime and improving operational continuity.
Adaptive anomaly detection
Our AI capabilities continually evolve, dynamically adapting to changes within your environment to maintain highly accurate anomaly detection, enhance service reliability, and reduce false positives.
Customized dashboards and predictive reporting
Standard deployments feature AI-driven, personalized observability dashboards, providing stakeholders with actionable, forward-looking insights for informed strategic decision-making.

Favorite tools that we prefer

Our technology stack highlights our proactive stance as early adopters, meaning we actively implement and refine new, cutting-edge solutions before widespread industry adoption.

Ready to unlock full-stack visibility?

Let’s elevate your systems—get in touch today and accelerate resilience, performance, and operational clarity.