Conf42 Platform Engineering 2025
| title | author | length |
|---|---|---|
| Platform Engineering & Digital Transformation | Manik Kashikar, Prachita Kashikar | 17m |
Claims a working digital invoicing backbone that processes over a million documents weekly by replacing paper workflows with a cloud portal, OCR and NLP… | ||
| Platform Engineering for Data Science at Scale | Aishwarya Pai | 09m |
Claims concrete outcomes: 3x productivity, 50% faster deployments, and 40% infrastructure cost reduction. Platform uses containerization and microservices with… | ||
| Platform Engineering with Self-Healing AWS Infra | Sreeja Reddy Challa | 14m |
Claims an AI driven event driven self healing AWS platform that moves teams from manual firefighting to autonomous operations by wiring Amazon DevOps Guru… | ||
| Building Bulletproof Error Detection | Sreelatha Pasuparthi | 13m |
Claims a middleware-first capture that logs full user-session context, implements phased capture/enrichment/classification, and fails safely; uses ML… | ||
| Platform Engineering Decision Framework | Rajani Jayantha | 15m |
Decision criteria: claims, tools, measured outcomes. The talk lays out Kubernetes and service mesh plus CI/CD, distributed tracing and Symfony plugins, cites… | ||
| Building Clinical Research Platforms | Lalitha Potharalanka | 19m |
Built a low-code modular platform with electronic data capture, an integration engine for EHRs and labs, workflow automation, real-time monitoring and… | ||
| Engineering Athena: Financial Platform at J.P. Morgan | Aroma Rodrigues | 34m |
Claims a migration from thousands to ~1,000,000 trades daily with front‑office bursts near 10,000 tps, EOD time falling from 8h to 5h after introducing delta… | ||
| Building Agentic AI Platforms | Naganarendar Chitturi | 31m |
Claims an autonomous mortgage pipeline handles 47 separate steps end to end, verifies income over weekends, and adapts to novel cases like crypto income by… | ||
| Anomaly Detection for Platform Logs using Embedded Context | Konstantin Berezin | 21m |
Claims an end-to-end pipeline that ingests millions of logs per day, enriches entries with deployment user and region metadata, analyzes streams with… | ||
| Platform Engineering Meets SCM | Vasdev Gullapalli | 18m |
SCM is treated as a platform for 50,000+ engineers and ~100,000 accounts, not a mere tool; unified policies, event-based listeners and runbooks automate… | ||
| Bridging Legacy and Modern Systems | Uday Bheemarpu | 18m |
Claims concrete ROI: 80% reduction in processing time, 95% fewer errors and 3× throughput, and bots that cut invoice handling from minutes to seconds. Uses… | ||
| Building Resilient Healthcare Platforms at Scale | Raphael Shobi A T | 16m |
Concrete numbers and tools matter: the platform handles 12 million API calls daily, maintains 99.97% uptime, ingests streams from 50,000 concurrent wearable… | ||
| Bridging the Layers: Platform Engineering in the Modern Network | Sunil Jorepalli | 14m |
Claim: combining a service mesh, API gateway, zero trust and programmable infra materially improves ops and dev velocity. The concrete stack uses STO and… | ||
| Building Resilient Smart City Platforms | Mayur Bhandari | 16m |
Claims include processing terabytes daily from 5,000+ IoT sensors, sustaining ~1.22 million concurrent operations at 99.7% uptime, and measurable gains: 67.8%… | ||
| AI for Platform Engineering | Michel Murabito | 25m |
Claims that platform engineering plus AI cuts nonessential cognitive load by centralizing config, automating environment provisioning, and surfacing docs/logs… | ||
| GitLab & Amazon Q Developer for a next-level developer experience | Mohamed Najaaf | 14m |
Amazon Q connects to GitLab and turns an issue into an open merge request by generating code, tests and an upgrade plan end to end; demos show a new signup… | ||
| Building Scalable AI/ML Platforms for Industrial IoT | Muruga Angamuthu | 13m |
Platform description gives concrete claims and components: 1.5–2.3 TB/day of sensor data, hybrid AWS and Azure architecture with snowflake analytics, cubeflow… | ||
| Building Real-Time Graph Analytics Platforms | Muthuselvam Chandramohan | 35m |
Claims a real time graph platform that hits subsecond queries for fraud and security use cases using Apache Kafka event streams and partitioning by vertex or… | ||
| One Platform, Many Workloads: Powering AI Applications with OceanBase | Peng Wang | 14m |
Platform claim: a single OceanBase database runs SQL plus vector on Kubernetes so structured and unstructured queries execute in one engine with triple… | ||
| Chakra UX: Conscious Design for Sustainable Platforms | Pratyush Tewari | 17m |
Claims a literal mapping of the seven chakras mapped to UX principles and gives concrete design prescriptions (security, delight, agency, community, clarity… | ||
| AI-Driven Platform Engineering | Praveen Kumar Guguloth | 09m |
Claims that platforms proactively autoscale before traffic spikes and run autohealing triggered by predictive anomaly detection, reducing downtime that can… | ||
| Platform Engineering Security | Nageswara Rao Nelloru | 15m |
Platform engineering security shows concrete moves: a Kubernetes admission controllers gate that rejects insecure manifests, mTLS between services for… | ||
| Building Bulletproof AI Platforms | Bhaskar Goyal | 12m |
Claims concrete wins: containerizing one workload with multi-stage Docker builds and CUDA-aware base images cuts image size and build time and a cited 65% drop… | ||
| Platform Engineering for AI-Powered Healthcare | Srikanth Puram | 15m |
Claims list concrete results: a UK hospital platform reuses components and cuts development time, an Android diabetes app pairs Bluetooth glucose monitors to… | ||
| Platform-First Cloud Transformation | Srikanth Vissarapu | 20m |
Claims a measurable uplift—cloud spend projection of 678 billion and 40% faster deployments—and shows how that comes from specific choices: a hub‑and‑spoke… | ||
| Transforming Healthcare with BI & AI | Srimurali Krishna Chillara | 15m |
Hospitals run ~16 incompatible platforms and over 80% of data is unstructured, yet FHI-based integration adoption rises 87% since 2021 and yields 63% faster… | ||
| Building Scalable AI-Powered Platforms | Kishore Epuri | 32m |
A microservices CPQ platform is built end to end: AI models for configuration and dynamic pricing, event-sourced pipelines, feature store and online features… | ||
| Building Production-Ready RAG Systems | Srinivas Chennupati | 19m |
Claims deployment achieves sub-2 second latency for retrieval and targets 10,000+ concurrent users with ~95–99% availability, using distributed vector stores… | ||
| Platform Engineering's Hidden Network Challenge | Srinivas Shamkura | 16m |
Claim: major cloud providers do not support multicast natively, and five concrete barriers explain why—state explosion in SDN control planes, multi‑tenancy… | ||
| Building Resilient Network Infrastructure | Bhaskararao Vakamullu | 11m |
AI workloads connect 128 to 256+ nodes and demand terabits‑per‑second fabrics with under 10 ms latency; 1 ms extra can add minutes to training and cut… | ||
| Platform Engineering for Subscription Payment Systems | George Thomas | 27m |
Payment infrastructure shifts from monolithic processors to event‑driven platforms with a unified gateway, subscription engine, smart retry algorithms and AB… | ||
| Scaling Enterprise Development with Cloud IDEs | Jayant Tyagi | 26m |
Describes a custom remote development platform built at Slack that runs personal VMs from AWS autoscaling groups, uses prebuilt images and SSH agent… | ||
| Implementing Zero Trust at Enterprise Scale | Naveen Kumar Birru | 18m |
Enterprise Zero Trust rollout combines identity-first controls, microsegmentation, service mesh mTLS and centralized API gateways and yields measurable… | ||
| Building Resilient Platform Infrastructure | Krishna Munnaluru | 11m |
Concrete claims: an automated VoIP monitoring platform that uses Kafka streaming, a plug‑in injection layer, Prometheus and Elastic Stack for metrics and logs… | ||
| Platform Engineering Principles in Complex Systems | Nikunj Karoliya | 29m |
Claims: automotive modular platforms (VW’s MQB platform, shared chassis and standardized mounting points) enable millions of vehicles, lower cost, and faster… | ||
| Building High-Performance AI Literature Processing | Nishanth Joseph Paulraj | 13m |
Presents a concrete RAG pipeline built on distributed vector databases and ANN search that claims subsecond retrieval at scale, citing 10,000+ biomedical… | ||
| Design Tokens as Platform Infrastructure | Pallav Laskar | 06m |
Design tokens become platform infrastructure with a build pipeline that outputs CSS variables, Swift, Android XML, uses GitHub workflows and type safe tooling… | ||
| How Security as Code Transforms Platform Engineering at Scale | Naresh Yelkoti | 14m |
Claims show 65% reduction in vulnerabilities, 50% faster time to market and 45% improved compliance scores after embedding policy and scans into CI/CD; tools… | ||
| Building Resilient AI Pricing Platforms | Amaresh Sahoo | 17m |
Claims an architecture using edge computing, container orchestration, CDNs and dedicated links to hit low‑latency SLAs; implements stream processing with… | ||
| Engineering Scalable ML Infrastructure for Modern Apps | Bharath Reddy Baddam | 11m |
Claims that matter: concrete patterns for scaling—distributed data parallelism for multi‑GPU training, GPU scheduling and container isolation for resource… | ||
| Building Intelligent Platform Infrastructure | Ajay Averineni | 11m |
Claims concrete outcomes: AI-driven observability and self-healing reduce outages and flag regressions in CI/CD, integrating Kafka Spark Flunk into a pipeline… | ||
| Building Resilient AI Platforms at Scale | Manoj Sai Jayakannan | 09m |
Teams use Terraform or cloud formation, GitOps, Nvidia Docker runtime and Kubernetes device plugins, Promethius plus graphina and OpenTelemetry for full-stack… | ||
| Exploring the math of thresholds | Emmanuel Bakare | 15m |
Claims that static thresholds converge with sampling while dynamic thresholds cut false positives using feedback and multivariate models. Demonstrations use… | ||
| AI-Driven Platform Engineering | Anbarasu Aladiyan | 12m |
Claims measurable wins: predictive scaling and Kubernetes optimization cut mean time to respond by ~61%, reduce resource utilization by ~43% and lower… | ||
| Building Developer-Centric ML Inference Platforms | Gangadharan Venkataraman | 28m |
Platform claims handle 300–400+ models at scale using Kubernetes CRDs and operators, Databricks for training and a feature store fed by Kafka streams for… | ||
| Scalable, Code-Free ETL | Achyut Kumar Sharma Tandra | 18m |
Claims concrete results: semantic parser plus execution planner and runtime engine generate Spark jobs or SQL, automatically deploy pipelines, and maintain… | ||
| Secure Distributed Healthcare Platforms | Brahmanand Reddy Bhavanam | 15m |
Claims an implemented blockchain EHR with onchain permission logs and offchain patient data, automated insurance payouts via smart contracts, and an IaC… | ||
| Platform Engineering for FinTech | Karthickram Vailraj | 15m |
Claims concrete architecture choices: user-based sharding for single-account ops, synchronous in-region / asynchronous cross-region replication for accuracy… | ||
| Building Privacy-First Healthcare AI Platforms | Kedar Mohile | 20m |
Claims a working stack: a permissioned ledger storing only hashes for tamper‑evident consent, PBFT‑style consensus, and smart contracts that gate differential… | ||
| Building Resilient Emergency Response Platforms | Lakshmi Vara Prasad Adusumilli | 13m |
Platform engineering converts a brittle emergency stack into reproducible code (Terraform, Crossplane, GitOps with Argo CD / Flux), golden‑path templates and a… | ||
| Platform-Native Ethical AI | Dharmendra Ahuja | 12m |
Platform engineers describe concrete results: 26% improvement in deployment efficiency from automated checks, 89% detection rate for bias pre-production using… | ||
| AI-Driven Platform Engineering | Manoj Kumar Vunnava | 17m |
Claims concrete improvements: 65% faster deployments, 42% fewer production incidents and 22% lower infra costs after adding AI. The platform stack is actually… | ||
| Building Planet-Scale Payment Platforms | Tapan Vijay | 24m |
The session names specific targets and tradeoffs: handling 150 billion card transactions annually, absorbing holiday peaks of 65,000 transactions per second… | ||
| Cloud-Native Platform Engineering | Tarun Chataraju | 12m |
Legacy fixed‑income index is reengineered into domain‑bounded microservices using Kubernetes and Apache Airflow, containerized with Docker, CI/CD via GitHub… | ||
| From Pipeline Hell to Platform Paradise | Terance Joseph Paulraj | 23m |
Claims a working, deployed metadata repository plus event-driven hooks, a service-mesh style of small processing services, and policy-as-code governance that… | ||
| Modern ERP as the Platform Backbone | Vinod Nagarahalli | 30m |
Argues that ERP must become an AI platform backbone by rearchitecting into microservices, API-first, event-driven modules, integrating S4, Ariba, Teamcenter… | ||
| Build Real-Time Analytics Platforms for Financial Crime Detection | Shivam Tiwari | 13m |
Claims a platform that detects fraud at low milliseconds latency using event streaming durability and replayable logs, combines microservices with a hybrid… | ||
| Engineering Predictive Platforms | Divakar Duraiyan | 22m |
Claims concrete outcomes: predictive algorithms flag faults a week before inspections, thousands of sensors stream telemetry into tiered hot/warm/cold storage… | ||
| Building Self-Service Data Platforms | Batchu Krishna | 28m |
Claims a metadata-driven system that auto-generates Apache Airflow DAGs from declarative pipeline specs, ties into CI/CD for automated deploys and rollbacks… | ||
| Beyond Manual Firefighting | Lakshmi Srinivasarao Kothamasu | 13m |
Claims concrete outcomes: transformer-based anomaly detection >90% and GPT4 root-cause parsing that analyze logs and dependency graphs, plus… | ||
| Platform Engineering for Healthcare Interoperability | Gunjan Desai Rajendrakumar | 11m |
A concrete platform surfaces: a multi-layered architecture with standardized connectors, a transformation layer that reports fewer manual mapping hours thanks… | ||
| Building Scalable Developer Platforms | Kommireddy Veera Venkata Subrahmanyam | 11m |
Internal developer platform (IDP) work emphasizes concrete outcomes: building self‑service infra with Kubernetes and Terraform, CI/CD with GitHub Actions or… | ||
| Platform-First Forecasting: Engineering Scalable ML Systems | Shivendra Kumar | 24m |
Claims a platform-first forecasting stack that trades marginal accuracy gains for operational excellence, scalable microservices and business-aligned loss… | ||
| Compliance-Aware Platform Engineering | Satish Manchana | 26m |
Platform engineering embeds regulatory controls as executable gates: Terraform/Bicep requests hit an admission layer that rejects deployments with encryption… | ||
| Building Self-Healing Cache Infrastructure | Shailin Saraiya | 15m |
Claims a deployed platform serving millions that cuts latency and DB queries by combining service‑mesh routing, event‑driven streams, and directory‑based… | ||
| Engineering Velocity in Life Sciences | Satish Babu Golla | 07m |
Claims concrete savings: structured content and reusable submission components cut localization by 40% and document cycles by 50% faster document life cycles… | ||
| Implementing Blockchain-Based Master Data Management | Chandra Adapa | 16m |
Claims a production MDM platform that hits 3,000 transactions per second, delivers 99.9% uptime and 60% faster data access, and enforces retention and audit… | ||
| Platform-First Mobile Automation | Charanpreet Singh Hora | 25m |
A concrete proposition: build a API-driven self-service platform that federates device clouds (Perfecto, BrowserStack, on‑prem labs), uses Kubernetes + GitOps… | ||
| Building Production-Ready ML-Based Network Routing | Rahul Tavva | 08m |
Claims concrete wins: a production ML routing stack with telemetry pipeline, model training and real‑time inference plus protocol fallbacks and rollbacks that… | ||
| Architecting Scalable Platforms for Financial Wellness | Hitesh Pahuja | 15m |
Argues for an event driven platform that uses Kafka backbone for hybrid sync/async communication, microservices aligned to business capabilities, and CDC… | ||
| Platform Engineering for Modern Data Infrastructure | Rahul Joshi | 25m |
Tracks the 15–20 year evolution from Hadoop (2006–2007) to cloud managed services and lakehouses, claims managed services cut operational work but create cost… | ||
| Building Resilient AI Platforms: Financial Fraud Detection | Rahul Ganti | 29m |
Blueprint for a multicloud, event‑driven microservices platform using Apache CFKA and Apache Flink with a dual feature store (offline + low‑latency online)… | ||
| Engineering Real-Time Translation Platforms | Amit Arora | 11m |
Real-time translation platforms must hit under 200 ms latency, cover 40+ languages and exceed ~85% accuracy while handling millions of sessions; architecture… | ||
| From Ops to Impact: Scaling Engineering Velocity | Anil Kumar Veldurthi | 25m |
Claims concrete outcomes not promises: platform work reduces developer friction from 40% time wasted on infrastructure to minutes for environment provisioning… | ||
| Platform-First SAP Integration | Venkateswaran Petchiappan | 12m |
Claims that a platform‑first OData layer replaces RFCs and middleware and centralizes security scaling and monitoring, delivering measurable gains: 700 ms… | ||
| Building Secure AI Platform Infrastructure: A Zero Trust Framework | Sudheer Obbu | 22m |
Starts by outlining a concrete zero trust rollout: implement mutual TLS and automated certificate rotation for service identities, deploy a service mesh (STO… | ||
| From Monoliths to Microminds: Building Resilient AI Platforms | Sidhanta Panigrahy | 13m |
Claims a working multi-agent AI platform that replaces a monolith with four layers perception cognition action coordination and uses a standard agent protocol… | ||
| Building Bulletproof Database Platforms | Sunil Yadav | 03m |
Claims a machine learning system that runs reinforcement learning for Oracle clusters and anomaly detection with 5‑second evaluation intervals, plus… | ||
| From Dashboard to Defense: Automating Resilience at | Sureshkumar Karuppuchamy | 14m |
Claims a concrete stack and results: OpenTelemetry first with W3C trace context, tail‑based sampling and structured JSON logs; SLOs and error budgets gate… | ||
| Building Resilient Healthcare-Mobility Platforms | Sai Sharan Reddy Mittapelly | 21m |
Platform claims a 42% no-show reduction and handles 6.5M daily patient record exchanges across 2400+ connected health systems. Built components include Epic… | ||
| Platform Engineering at Scale | Ritesh Kumar Sinha | 08m |
Cloud-native platform processes 15 TB to 140 TB monthly for healthcare analytics using AWS S3 and Amazon Redshift, automated ETL and a copy-command injection… | ||
| Platform Engineering for Advanced Flexible Endoscopy | Santosh Suresh | 08m |
Claims concrete scalability and failure numbers: a 1200 bed center handling 50,000 procedures with 200+ concurrent endoscopies and delivered 99.99% uptime… | ||
| Data-Driven Identity Governance for Modern Infrastructure | Anjan Kaleru | 09m |
Claims concrete results: automated access reviews, just‑in‑time provisioning, MFA and SSO cut provisioning from days to under 12 hours and reduce incidents… | ||
| nothing matches | ||