APM Consultant | Full-Stack Observability Expert | Application Monitoring Specialist

I’m an Observability & APM consultant with ~9 years of hands-on experience designing, implementing, and scaling full-stack observability for high-traffic, business-critical systems. My specialty is turning noisy telemetry into clear, actionable insight that shortens MTTR, improves release confidence, and ties application health to real business outcomes.
APM tools expertise. I’ve led end-to-end deployments and migrations across AppDynamics, Dynatrace (Managed & SaaS), Splunk Observability (SignalFx), and Splunk Enterprise. I’m fluent in distributed tracing, metrics, logs, and RUM/BRUM, and I build opinionated standards for naming, tagging, and environment conventions so data is consistent and queryable from day one. I’ve instrumented .NET, Java, and web apps; defined critical business transactions and service entry points; tuned anomaly detection; and set up robust alerting that prioritizes symptoms and impact over raw thresholds.
Notable work. I’ve single-handedly migrated applications from AppDynamics to Splunk Observability, using Ansible playbooks to automate agent rollout at scale and OpenTelemetry for portable instrumentation. I’ve configured 150+ AppDynamics agents, migrated 150+ API-level custom alerts into Dynatrace using Grail/DQL, and customized 30+ Dynatrace dashboards for developers, SREs, and business stakeholders. I’ve also stood up synthetic monitoring (public and private locations), enabled Browser RUM/BRUM for full user-journey visibility, and built dashboards that trace revenue paths and funnels, not just CPU and latency.
Cloud-native & containers. I work across AWS ECS, EC2, EKS, Lambda, IAM, and S3; Docker; and Kubernetes. I deploy the Dynatrace Operator on K8s for auto-discovery, use DaemonSets where appropriate, and monitor ECS/Fargate via agent-based and agentless patterns. For serverless and edge cases, I leverage OpenTelemetry and vendor SDKs to keep traces cohesive across microservices, queues, and functions.
SRE practices. I define SLIs/SLOs and error budgets aligned to user experience (e.g., p95 latency on key journeys, checkout availability, API success rate). Alerts map to SLO breaches and business impact, reducing noise while catching regressions early. I pair monitoring with clear runbooks and escalation policies, and I integrate with ITSM/incident systems for clean handoffs and measurable response.
Automation & enablement. I codify observability with CI/CD (Jenkins, GitHub) and infrastructure as code (Ansible), so dashboards, alerts, and detectors are versioned, peer-reviewed, and reproducible. I run enablement sessions and create concise playbooks so teams can self-serve dashboards, traces, and ad-hoc analyses.
What I deliver:

• Greenfield observability setup or tool rationalization
• Vendor-neutral instrumentation with OpenTelemetry
• AppDynamics/Dynatrace/Splunk Observability deployments & migrations
• Business-centric dashboards and SLO-driven alerting
• Synthetic, RUM/BRUM, and end-to-end tracing across microservices
• Cost, performance, and reliability tuning with concrete before/after outcomes