Sudhakar Talla

A highly motivated individual with a strong leadership quality in Engineering and Product management areas, currently working as a Senior Global DigitAL Product Manager (Executive Director) with 20+ years of hands-on experience in Full Stack and Data platform Observability, Site Reliability Engineering (SRE), Performance Engineering, Capacity planning, Google AI products, Product Management & Ownership, Business Intelligence (BI), ITSM, ITSO, Functional / Performance Automation and UI technologies and Cross functional architecting etc. And Proficient in Banking & Capital markets, Technology, Retail, e-Commerce, Supply chain & Warehouse Management etc. domains.

• Microsoft Azure Fundamentals (AZ-900)
• Google Cloud Digital Leader (GCP)
• Oracle Cloud Infrastructure (OCI) certification
• Agile & Scrum 101
• PO / PM Bootcamp

• Subject matter expert and hands-on experience and proficient in setting up E2E monitoring – with Full stack and Data platform Observability, Site Reliability, Performance Engineering, and Capacity Management, E2E automation and MELT – Metrics, Events, Logging & Tracing for Technology products and Service Operations.
• Experienced in managing Product management and Engineering life cycle and ownership for the products of Full stack Data and Application Performance Management (DAPM), DevOps, CI/CD, Quality (Functional and Performance) and AIOPs products includes Unravel, Elastic, Splunk, AppDynamics, , NewRelic, Google Cloud Logging, BigQuery Insights, Data Dog, Azure monitor and App Insights, Google stack driver / Operations suite, AI suite, Cloud Trace and Profiler and BMC TrueSight, BigPanda, 1000Eyes, Sitescope, LR, JMeter, Blaze meter, VSTS (Visual Studio Team System), SOASTA, Selenium, Jenkins, HyperExecute, Gen AI services, Vertex AI, BI products – Grafana, Looker etc.
• Expertise in creating a Product Roadmap, OKRs, Vision, Strategy, PI planning, Strategic themes, Below the line analysis etc. and proficient in Agile methodologies (Scrum & Kanban) and Proficient in defining the Product Governance model, Compliance, Security & Risk controls, Data classification and access models and curated Observability modules and Runbook readiness for Operation Risk Review.
• Data platform Observability for BigQuery, Vertex AI, Log Analytics and Datamart
• Data standardization, curation and governance of metrics and telemetry data into time series database Mimir / Prometheus from different technology and domain related data sources like Infrastructure, performance, Synthetic, Redis, TKGI, Openshift, Azure, Autosys, GitHub, Risk and compliance systems and Business intelligence and Recommendations data
• Maintain Data segregation and visualize the data as environment wise, application wise, service / api wise, Domain wise, Line of Business wise, product catalog wise etc for quick retrieval and improved performance
• Capture and manage the cloud engineering governance metrics like BDD test cases compliance, Terraform workspace information, long living branches, non compliant data sets, resources, hashicorp testing data, modules and landing zone meta data for both public clouds Azure, GCP and OCI
• Validate Saferoom data through Data loss prevention (DLP) service and capture the metrics like the inspection template modifications, sensitive data findings, direct file uploads into GCS buckets, job failures and cost monitoring etc. and provide effective recommendations to optimize the tech stack and actionable insights
• Design a single pane of glass experience for different user personas and customer journeys to provide a 360 degree view of the data product ecosystem and provide actionable insights
• Capture and monitor the compute, storage, token usage, BQ slots, Data volumes vs cost and provide reports to top leadership team
• Monitor the Risk and Security data viz., ISBL, Vulnerabilities, Remediation's, Policy exceptions, Control gaps data, Cloud Asset management / inventory data and make the teams for audit readiness
• Splunk infrastructure and performance optimization - cleanup unused indexes, review, prune unused dashboards, reports and saved searches
• Well versed with capacity planning, optimization, forecasting, reservations and allocations
• Improve the product Resiliency, Scalability, Reliability and Availability and make the robust Service positioning
• Expertise in Capacity planning & Optimization, Forecasting, Reservations, Allocations.
• Expertise in Synthetic data monitoring for URL, Ping, Port, Performance tuning, Troubleshooting, Root Cause Analysis (RCA)
• Expertise in Functional & Performance automation process, NFRs, Usage patterns, Growth projections, Framework design, Workload characterization, Center of Excellence (CoE), Performance Benchmarking, Create Load test scenarios, DevOps, CI/CD, AIOps etc. Well versed with JVM optimization, code profiling, Instrumentation, Garbage collection stats, Heap & Thread dump analysis etc.
• Expertise in improving the operational efficiency through different automation processes, evaluate processes according to compliance, re-engineering, optimize and validate the workflow
• Exposure to GKE, AKS, Data analytics and AI / ML services Performance and Observability
• Proficient in Business Intelligence solutions & Analytics, Visualization by using Grafana, Tableau and Power BI
• Proficient in Software development life cycle methodologies and extensively worked in various technologies viz., public cloud (Azure, Oracle, GCP), private cloud (Pivotal, VMWare) and applications built on Java, .Net, PHP, Angular .js, Web logic, Web sphere, Kafka/MQ, Adobe AEM, Mobile apps and RESTFUL services
• Expertise in IaaS, PaaS, SaaS service models and Cloud Observability native tools like Azure monitor, App Insights, Log Analytics, Event Hub, Stack driver, Google Cloud Operations Suite, Open telemetry, BigQuery Insights.
• Expertise in implementation of SRE process with Golden signals, RED and USE methods for Operational and Engineering assessment, Benchmarking and defining of SLA / SLI / SLOs and reduce the MTTR and SRE toil
• ~10 years of US experience with different companies in Hybrid model
• Vendor and stakeholder management
• Team Management & Mentoring, Strong analytical skills, Patience and Problem-solving skills.
• Experience in leading organizational initiatives (Innovation Hub, PoCs review committee, Board member of Tools evaluation committee)