Reduction in Mean Time to Detect (MTTD) Incidents with Centralized Monitoring
Availability Achieved Across Customer-Facing APIs via Multi-AZ DR Architecture
RPO Compliance Ensured Through Daily Encrypted Snapshots and Replica DB Failover
Workload Health KPIs Tracked with Real-Time Dashboards and Auto-Alerts
Company Overview
Tax Compliance MSP is a technology partner for India’s indirect tax ecosystem, helping enterprises and GST Suvidha Providers file returns, validate invoices, and manage compliance workflows via high-volume API integrations with the GST Network (GSTN).
Story Snapshot
To support 24×7 availability and maintain service quality at scale, Tax Compliance MSP engaged Cygnet.One to modernize its observability and disaster recovery posture. The initiative aimed to eliminate visibility gaps, define KPI-based alerting, and automate recovery workflows. As a result, the company achieved real-time operational awareness and compliance-aligned resilience without manual overhead.
At a Glance
Tax Compliance MSP transformed its platform into a highly observable, fault-tolerant AWS environment. Real-time metrics, log tracing, and health checks helped identify performance deviations early, while disaster recovery protocols ensured continuity of tax services across failure scenarios.
Solutions Implemented |
Outcomes Achieved |
Defined KPI-based workload health metrics across infra, app, and DB layers using CloudWatch and OpenSearch |
Achieved 100% Real-Time Visibility into critical services and resource utilization |
Configured log ingestion pipelines from EKS, PostgreSQL, and Lambda to Amazon OpenSearch |
Enabled Instant Root Cause Analysis using log filters and trace correlations |
Integrated alert thresholds for CPU, memory, 5xx error rates, replication lag, and custom business metrics |
Reduced MTTD by 75% via automated incident detection and alert routing |
Automated backups using cron + AWS Backup for EBS volumes and PostgreSQL databases |
Guaranteed <30 Minute RPO across production systems with recovery validation |
Designed DR architecture with EKS across 2 AZs, failover-ready PostgreSQL replicas, and Route 53 health routing |
Achieved 99.95% Application Availability across customer-facing workloads |
Conducted quarterly failover simulations and rollback drills |
Built Confidence in Recovery Process through tested runbooks and documented SOPs |
Integrated Slack + SNS alert routing for critical errors and anomalies |
Enabled Proactive Escalations with faster triage and team coordination |
Improving Incident Response and Recovery in a High-Volume Compliance Platform
With tax operations running 24×7 and surging API usage during peak periods (e.g., return filing deadlines), Tax Compliance MSP required a robust observability and disaster recovery foundation. As workloads scaled, the lack of centralized visibility made it difficult to detect anomalies early or respond before they impacted SLAs.
At the same time, the organization’s disaster recovery strategy was under pressure to meet compliance expectations such as defined RTO (1 hour) and RPO (30 minutes) for Tier-1 services, especially those supporting direct integration with GSTN.
Cygnet.One partnered with the MSP to solve both challenges by designing a resilience-first operational framework using AWS-native tools, tested recovery playbooks, and real-time alerting tied to business KPIs.
Problem
The MSP’s monitoring environment was fragmented and inconsistent, leading to operational blind spots and delayed incident response. Logs and metrics were scattered across different tools, making it hard to correlate application-level issues with underlying infrastructure behavior.
There was no unified view of key performance indicators—business metrics like tax filings processed were not tracked alongside infrastructure health. Root cause analysis was largely manual, with teams needing to query logs and databases individually after an incident, which prolonged both detection and resolution times.
Disaster recovery appeared to be in place through routine snapshots, but recovery timelines were never validated, and there were no formal playbooks to guide restoration. Alerting remained siloed, with no consistent routing or prioritization framework shared between security, operations, and development teams.
Solution
Cygnet.One implemented a unified observability and resilience framework customized for Tax Compliance MSP’s high-availability environment. The modernization approach was centered around three focus areas: real-time monitoring, automated recovery, and tested response protocols. To ensure proactive detection and remediation, workload health KPIs were defined across availability, performance, utilization, and error metrics.
For instance, an ALB 5xx error count exceeding 20 triggered an incident, PostgreSQL replication lag beyond 30 seconds raised an alert, and EKS pod CPU usage above 80% automatically initiated scaling via Horizontal Pod Autoscaler. The monitoring stack brought together Amazon CloudWatch for metrics and alarms, OpenSearch for log aggregation, CloudWatch Logs Insights with preset queries like “Timeout” or “DBError,” and Grafana dashboards for cross-team visibility. Alerts were routed through SNS, PagerDuty, and Slack, graded by severity; Info, Warning, or Critical—and mapped to standardized escalation playbooks.
Disaster recovery mechanisms included daily EBS and EC2 image snapshots stored securely in S3, PostgreSQL replicas with asynchronous failover, and EKS workloads architected across two Availability Zones with autoscaling and self-healing capabilities. Route 53 managed DNS-level failovers using health checks. Resilience testing was conducted quarterly through simulated failovers and restores, with RCA documentation templates used for structured post-incident reviews. All standard operating procedures were documented in an internal wiki, complete with ownership and escalation paths. Collectively, this setup brought consistent uptime, faster incident response, audit-ready documentation, and operational efficiency for engineering teams.
Tools & Technologies Used
AWS Glue
Managed ETL orchestration
AWS Lambda
Event-driven data triggers
Amazon Redshift
Centralized data warehouse
Power BI
Interactive dashboards and reporting
AWS S3
Storage for raw and processed data
Python & SQL
For data modeling and transformation