Monitoring & Observability Services

Monitoring focuses on tracking known metrics and predefined thresholds to detect when systems deviate from expected behavior. Observability goes beyond monitoring by providing the context and tools needed to understand why systems are behaving in a certain way, especially for complex, distributed systems. It combines metrics, logs, and traces to give you deep insights into your systems' internal state, enabling you to troubleshoot unforeseen issues more effectively.

We recommend tools based on your specific needs, environment, and existing investments. For metrics, we often recommend Prometheus with Grafana for visualization. For logging, the ELK stack (Elasticsearch, Logstash, Kibana) or solutions like Loki are excellent choices. For distributed tracing, Jaeger or Zipkin provide powerful capabilities. We also work with managed observability platforms like Datadog, New Relic, and Dynatrace when a unified solution is preferred.

For microservices, we implement a comprehensive approach that includes: distributed tracing to follow requests across services, correlation IDs to link logs from different services, standardized logging formats across all services, service-level metrics and SLOs, dependency mapping and visualization, and automated anomaly detection. We also focus on making observability a part of your development culture, ensuring that new services are built with observability in mind.

We combat alert fatigue through several strategies: implementing alert prioritization based on business impact, using anomaly detection instead of static thresholds, consolidating related alerts to reduce noise, implementing alert routing to ensure the right teams receive relevant alerts, and continuously refining alerting rules based on feedback and historical data. Our goal is to ensure that every alert is actionable and meaningful.

Yes, we help optimize monitoring costs through several approaches: implementing data sampling and filtering to reduce volume, setting appropriate data retention policies, using tiered storage solutions for historical data, optimizing query performance to reduce computational costs, and right-sizing your observability infrastructure. We also help you select cost-effective tools and implement usage-based scaling to ensure you're only paying for what you need.

For hybrid and multi-cloud environments, we implement a unified observability approach that provides consistent visibility across all environments. This includes deploying collection agents across all environments, centralizing data in a single platform, implementing consistent tagging and metadata strategies, creating unified dashboards that span environments, and ensuring secure data transfer between environments. This approach gives you a single pane of glass for monitoring your entire estate.