How Codincity Empowered an Industry-Leading Mortgage Software Provider with a Robust Observability Platform
Client Overview
Client: Industry Leading Margate Technology Service Provider
Industry: FinTech
Region: Americas
Solution Focus: Platform Engineering, Mainframe, Azure, GCP, Dynatrace, Grafana, Logic Monitor, Infrastructure as Code (IaC), Azure DevOps
The Business Challenge
The client, a leading mortgage loan software provider, sought to modernize its multi-tenant SaaS platform through a greenfield GCP implementation. With increasing workload complexity, they needed a unified observability framework to deliver end-to-end visibility, actionable insights for developers, proactive incident response for support teams, and operational transparency for customers and stakeholders
Key requirements included:
Integrate observability with platform automation and governance to ensure reliability, compliance, and operational resilience in cloud setup.
Provide automated observability instrumentation and environment provisioning to streamline onboarding for application teams and reduce time-to-insight.
Establishing standardized reusable observability patterns and proactive monitoring to drive continuous improvement in infrastructure operations, business/application insights and optimize resource usage.
Define, track, and operationalize SLIs and SLOs across critical services to proactively monitor SLA compliance, reduce incident resolution time, and drive continuous reliability improvements.
Aligning with customers key performance indicators used to measure software delivery performance and operational efficiency to help organizations understand continuous delivery and operational excellence.
Integrating external system dependencies into the observability framework to enable unified telemetry ingestion, end-to-end service visibility, and faster root cause analysis across the SaaS platform ecosystem. (Messaging Service, Caching Layer, NoSQL DB, API Gateway, OLAP)
Establishing a centralized service communication layer to deliver real-time visibility into system health and availability for both internal teams and external users, fostering transparency, reducing support dependencies, and reinforcing operational resilience through proactive and consistent updates
Codincity’s Solution
Enterprise-Grade Observability
Used Infrastructure as Code (IaC) to automate observability setup for distributed workloads, making it easy to deploy monitoring tools and collect telemetry across microservices and cloud environments.
Enabled end-to-end instrumentation across cloud infrastructure, applications, databases, and third-party services to generate rich telemetry data, fuelling unified observability, enhanced performance monitoring, and accelerated incident response.
Implemented next-gen monitoring solutions to enable real-time telemetry, application performance monitoring (APM), and distributed tracing across business and infrastructure workloads hosted in a multi-cloud environment and SaaS ecosystem. The observability framework support distributed microservices architecture, providing deep visibility into service interactions, latency bottlenecks, and system health across dynamic, containerized workloads.
Built a scalable observability platform to monitor Latency, Traffic, Errors, and Saturation across distributed microservices in a multi-cloud environment.
Enabled automated alerts, SLOs, and service health insights, improving incident response and system reliability
Developed business analytics dashboards to visualize key business events captured through the observability framework, enabling data-driven insights and operational transparency.
Business Impact
Automated Observability Setup: Leveraged Infrastructure as Code (IaC) to automate deployment of observability components, ensuring consistent telemetry collection across distributed microservices and cloud environments.
Comprehensive Instrumentation: Enabled full-stack observability across infrastructure, applications, databases, and third-party services, generating rich telemetry data for unified monitoring and faster root cause analysis.
Real-Time Monitoring & Tracing: Implemented next-gen monitoring tools for real-time telemetry, APM, and distributed tracing, enhancing visibility into service interactions and system health in a multi-cloud SaaS ecosystem.
Improved Incident Response & Reliability: Enabled automated alerting, SLO tracking, and service health dashboards, reducing mean time to detect (MTTD) and mean time to resolve (MTTR).
Business Insights & Transparency: Developed analytics dashboards to visualize business events, enabling data-driven decision-making and operational transparency for stakeholders.
Software Delivery Performance Visualization: Improved deployment speed, reduced lead time, fewer failures, and faster recovery. (DORA Metrics)
Business Outcome
CODINCITY enabled the customer to implement enterprise-grade observability, enhancing system reliability through proactive monitoring, automated alerting, and accelerated incident resolution. The solution also reinforced auditability and security by ensuring consistent observability and traceability across the customer’s ecosystem.
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