OBSERVABILITYObservability & Monitoring Services
See Everything. Fix Anything. Ship with Confidence.
Modern cloud-native systems are complex, distributed, and fast-moving — making traditional monitoring insufficient. At Coderise, we go beyond uptime checks to deliver full-stack observability: metrics, logs, traces, and events that help you understand, debug, and improve system behavior in real time.
We help organizations build observability into their DNA, giving engineering and SRE teams the insights they need to respond faster, recover smarter, and continually optimize performance.
Why Observability Matters
Gain immediate insights into failures, bottlenecks, and regressions through real-time dashboards and alerts—helping teams act before users are impacted.
Reduce Mean Time to Recovery (MTTR) with automated detection, correlation, and incident response workflows—ensuring minimal disruption.
Perform deep root-cause analysis across services, layers, and dependencies to quickly identify and resolve performance or reliability issues.
Increase trust in every deployment with live visibility into system health and performance metrics, enabling safer and more reliable releases.
Core Pillars of Observability
We assess your existing systems to design a unified observability pipeline tailored to your needs. Through an observability maturity assessment, we identify the right data sources, tools, and integrations to optimize visibility. By prioritizing key signals—metrics, logs, and traces—and implementing a unified data correlation strategy, we ensure consistent insights and faster issue resolution across your environments.
Get actionable visual insights into your applications and infrastructure through powerful monitoring and analytics. Collect key metrics using Prometheus, Datadog, or CloudWatch, and visualize them in real-time with Grafana, New Relic, or Datadog dashboards. Custom SLO dashboards help product and SRE teams track performance, reliability, and user experience with clarity and precision.
We enable request-level visibility across microservices to help you trace performance and reliability issues with precision. Using tools like OpenTelemetry, Jaeger, and Zipkin, combined with auto-instrumentation and manual tracing libraries, you can capture end-to-end transaction flows. Context propagation and trace linking ensure every request is tracked across distributed systems, providing a complete view of dependencies and latency.
Aggregate and search logs with rich contextual data to gain deeper operational insights. Using the ELK Stack (Elasticsearch, Logstash, Kibana) or Loki with Fluentd and Fluent Bit, you can centralize and analyze logs across environments. Integration with SIEM tools further enhances security monitoring, enabling faster detection and response to potential threats.
Enable proactive alerts seamlessly integrated into your workflows for faster incident response. With multi-channel notifications through Slack, PagerDuty, and Opsgenie, teams stay informed in real time. Advanced features like alert deduplication and correlation reduce noise, while linked runbooks and incident playbooks ensure efficient and consistent resolutions.
Get ahead of issues before users even notice them by implementing proactive monitoring and testing. Using synthetic testing tools like Datadog Synthetics and Pingdom, along with Real User Monitoring (RUM) to track frontend latency and interaction bottlenecks, you can identify performance issues early and ensure a smooth, reliable user experience.