Conf42 Kube Native 2025
| title | author | length |
|---|---|---|
| Scaling Kafka on Kubernetes | Shalini Katyayani Koney | 13m |
Claims sustained 100,000 messages per second with <5 ms P99 latency and ~99.9% availability using Kubernetes primitives: Kafka as StatefulSets, SSD-backed PVs… | ||
| Container-Native ML: Scaling Predictive Customer Segmentation | Ujjwala Modepalli | 14m |
Reengineers turn a monolith into Kubernetes microservices with Helm charts and CRDs, a container‑based feature store and event‑driven retraining that triggers… | ||
| AI in Healthcare: Bias, Privacy, and Trust in Kube-Native Systems | Venus Garg | 22m |
Shows a Kubernetes-native stack that embeds ethics into deployment: Kubeflow pipelines run Fairlearn and IBM AIF360 audits after each training job, Prometheus… | ||
| GenAI in Healthcare Claims: Processing and Detecting Fraud | Amala Arul Malar Umakanth | 16m |
A deployed pipeline converts PDFs HL7 messages and DICOM into structured records, runs a five-layer architecture (ingestion, semantic NLP, decision engine… | ||
| K8s API Gateway: Service Mesh Strategies for Scalable Solutions | Niharika Jha | 09m |
Claims measured by tools and outcomes not buzzwords: a Kubernetes native API gateway plus service mesh stack proves scalable in production, handling thousands… | ||
| Securing AI-Driven Finance | Manisha Sengupta | 12m |
An on‑the‑ground account of failures and fixes: a leaked API key lets an attacker probe occupancy patterns; a compromised developer account corrupts… | ||
| Instant KAI Sandboxes with vCluster | Piotr Zaniewski | 30m |
Claim: vCluster runs a full Kubernetes control plane inside a pod and lets teams install independent Kai Scheduler instances for isolated scheduling. Demo… | ||
| GenAI for Predictive Maintenance in Kube-Native Manufacturing Ops | Abhijit Joshi | 21m |
Claims a deployed pipeline that ingests IoT sensor vibration temperature pressure and maintenance history, feeds a GenAI engine that generates automated ERP… | ||
| Architecting Transparent AI Systems for Cloud-Native Environments | Raj Kommera | 08m |
Claim: trust must be architected not bolted on, with five concrete pillars that change outcomes. The session shows contextualized confidence scoring, source… | ||
| Building Intelligent Retention Engines: Real-Time Churn Detection | Gaurav Sunkar | 20m |
A concrete blueprint that claims real‑time churn detection and automated CRM interventions using event streaming, model inference, and serverless deployment… | ||
| Building Resilient AI: A Framework for Enterprise Security | Maurya Priyadarshi | 12m |
Claims a concrete framework with four core pillars (governance, technical safeguards, compliance alignment, continuous monitoring), describes implemented… | ||
| Kube Native AI-Powered SAP Integration: Transforming M&A | Neelima Aderu | 14m |
Claims concrete results: a Kubernetes orchestration of AI microservices handles 10+ TB migrations and autoscaling to half a million records per second, cutting… | ||
| Transforming Knowledge Systems with Embedded Analytics | Harshita Dubey | 06m |
Architecture couples SharePoint online content with containerized microservices on Kubernetes; analytics components—user behavior tracking, search-pattern… | ||
| Scaling Kubernetes-Native Systems with Event-Driven Patterns on Azure | Ashif Anwar | 18m |
Claim: an Azure pipeline using Event Grid → Service Bus → Azure Functions → GPU AKS pods scores transactions in under 2 seconds with ~95% accuracy, cuts false… | ||
| Shaping next generations of architectures with Dapr | Christophe Gigax | 21m |
Dapr claims a portable, language agnostic runtime that implements the sidecar pattern and provides service invocation, state, pub/sub, actors and tracing via… | ||
| Resilient by Design: Architectures for Crisis Response & Recovery | Dhruvesh Talati | 16m |
Claims concrete outcomes and methods: insists on 99.99% availability, ability to absorb 10x capacity in minutes, and measurable faster recovery times… | ||
| Self-Healing Patterns for Cloud-Native Streaming | Karthik Reddy Beereddy | 16m |
A concrete pattern set that actually worked: a replayable append-only log with partition keys and sequence numbers for deterministic replay and snapshots to… | ||
| Reimagining SerDes for Scalable AI | Phani Paladugu | 14m |
Claim: model sizes doubling every 3–4 months forces interconnects from 112→224→448 Gbps and PCIe from 64→128→258 Gbps, creating bandwidth and power shortfalls… | ||
| Multi-Zone Service Architecture for 99.99% Uptime | Rahul Singh Thakur | 12m |
Claims 99.99% uptime by deploying services across multiple availability zones using Kubernetes and zone-aware PVs and pod affinity. Implements a metadata… | ||
| Demystifying Modern Data Pipeline Architecture | Vamsi Pulusu | 19m |
Claims a clear shift from batch to real‑time and shows concrete patterns: medallion architecture with bronze/silver/gold layers for staged quality, a… | ||
| Enterprise Architecture for Financial Risk Governance | Sreenivasulu Gajula | 12m |
Proposes a concrete enterprise blueprint: a integrated data fabric that breaks departmental silos, an adaptive compliance layer that enforces rules 24/7, and… | ||
| Hyperautomating Compliance and Risk Intelligence in Finance | Mamatha Swamy | 21m |
Claims concrete wins: containerized ML and NLP models run on Kubernetes with horizontal pod autoscaling to score loans and run processing millions of… | ||
| K8s-Native AI Microservices: Scaling in Regulated Industries | Manisha Ponugoti | 11m |
Kubernetes automates compliance via GitOps and immutable audit logs, enforces policies with admission controllers and network policies, and isolates workloads… | ||
| AI Data Governance for Scalable Compliance in Modern Banking | Ashish Dibouliya | 12m |
Claims a cloud‑native unified AI data governance framework that runs as governance microservices and integrates with Kubernetes, with a metadata orchestration… | ||
| Scaling AI-Driven Financial Services: Ethical ML at Scale | Jaydeep Taralkar | 15m |
Claims a real deployment that processes 100 million transactions a day across 30+ countries with end-to-end latency under 100 milliseconds, built on… | ||
| Autonomous FinOps for Cloud-Native Financial Services | Manoj Kalakoti | 27m |
Claims a working blueprint that embeds cost control into CI/CD and Kubernetes with real-time anomaly detection, uses IaC static analysis plus cloud pricing… | ||
| AI-Driven Data Integration at Scale | Sathish Kuppan Pandurangan | 13m |
Claims an AI engine called CLA (Informatica IDMC) that automatically generates mappings and workflow recommendations, performs metadata discovery and PII… | ||
| Scaling Predictive Manufacturing Analytics: Kubernetes-Powered CRM | Jasmeer Singh | 07m |
Claims that Kubernetes-native CRM stacks handle billions of IoT signals by breaking analytics into containerized collectors and microservices and that… | ||
| Architecting CRM Resilience: Secure K8s-Native Systems | Chakra Gadige | 07m |
Claims that Kubernetes‑native CRM cuts downtime and saves millions over three years (Forester) and that the CRM market hits $106 billion by 2028. Architecture… | ||
| Data Science Careers via A/B Testing | Bhavana Reddy Chadagonda | 18m |
Claims concrete changes: variance reduction techniques halve variance halves sample size and cut time to significance; pre-experiment covariates via Cupid and… | ||
| ETL at Scale: Optimizing PySpark + Airflow Workflows | Sruthi Erra Hareram | 18m |
Uses PySpark + Airflow on Kubernetes with Terraform and Helm to make ETL fast, reliable, and costed: executor sizing ~4–8 GB, memory fractions ~0.6/0.2… | ||
| MDM: K11s Orchestration for Enterprise Data Quality at Scale | Rahul Ameria | 12m |
Claims a cloud-native MDM built on Kubernetes with Helm charts and GitOps for deployments, StatefulSets and PersistentVolumes for state, HPA for elastic… | ||
| Accelerating Cloud Datacenter Buildouts | Vamsi Gadireddy | 11m |
Start land acquisition and permitting 18–24 months before target ops, engage utilities and carriers immediately (fiber often takes 6–12 months), and pre-order… | ||
| AI-Ready Healthcare Data: Revolutionizing Fraud Detection | Triveni Kolla | 17m |
Claims concrete numbers: 75% of healthcare data is unstructured and 80% of coding contains errors, so improving data quality — not bigger models — drives… | ||
| Healthcare Access with Data Integration and Microservices | Geetha Sharanya Bolla | 12m |
Claims are concrete: ~80% of critical patient data remains siloed, health information exchanges cut preventable readmissions by 30% and duplicate labs by 52%… | ||
| Automation for Equitable and Resilient Digital Public Services | Mahesh Jalukuri | 09m |
Kubernetes native automation claims concrete wins: 37% availability increase, 430% telemedicine growth, and 99.999% uptime from AI‑driven self‑healing and edge… | ||
| Dragon Copilot: AI-Powered Clinical Assistant | Tharun Nallamothu | 11m |
A clinical copilot claims to automate documentation by capturing conversations with ambient recording and converting them via NLU/NLG into structured notes… | ||
| EV Charging: Scalable, Smart Infrastructure for Electric Mobility | Preeti Sali | 09m |
Cloud native design claims concrete results: predictive maintenance cuts charger downtime by about 40% using IoT sensors and machine learning, Kubernetes… | ||
| Beyond Ambilight: Pre-Computed Surround Lighting | Chandan Kumar | 24m |
Claim: a precomputed predictive buffer replaces camera feedback and pushes encoded light commands early, with a frame analysis engine, node controller and… | ||
| Intelligent Kubernetes Workload Optimization | Deepika Annam | 25m |
Claims concrete results: RL agents using DQN PPO SAC integrate with Kubernetes controllers and CNCF tools like Prometheus and Grafana and deploy via Helm, use… | ||
| Mirror on the Wall, How Many K8s Environments Are Enough After All? | Arsh Sharma | 24m |
Claims that Mir lets teams stop provisioning per-developer and per-CI clusters and instead mirrors traffic to a local process while using a single staging… | ||
| Securing Cloud Native Infra for the Post-Quantum Era | Derek Asir Muthurajan Caleb | 15m |
Claims concrete outcomes: NIST-approved Kyber and Dilithium are usable in Kubernetes now via hybrid TLS handshakes, ingress-first migration proves easiest to… | ||
| Ballerina Unleashed: Open Source Mastery | Anupama Pathirage | 25m |
Ballerina is an open source cloud‑native integration language (WSO2 origin 2016, first public release 2022) that gives native abstractions for data, network… | ||
| Observability in Kubernetes: Unlocking the Power of eBPF | Alejandro Mercado | 30m |
Claims that eBPF runs sandboxed programs in kernel space to get real‑time visibility, avoids expensive syscall roundtrips, and can add features in days instead… | ||
| Swarming LLM Agents for Real-Time Market in Trading Systems | Kiran Purushotham | 07m |
Cloud-native system is a containerized swarm of domain-specialized LLM agents using Finnbbert and Robeta, Kubernetes autoscaling, Prometheus and a 16-head… | ||
| LLM-Audited EHR Pipelines: 87% Accuracy with 70% Fewer Resources | Manikesh Iruku | 13m |
Claims an LLM‑based auditing pipeline that reaches 87% detection rate while using 70% fewer resources, moving pipeline coverage from 35% to 92% and cutting… | ||
| Real-Time Underwriting & Enrollment at Kubernetes Scale | Gurucharann Visagamurthy | 10m |
Kubernetes-native underwriting pipeline that runs ML models and APIs cuts underwriting from days to 45 seconds for 85% of applications and yields 95% reduction… | ||
| AI-Powered O11y with LLMs: Resilience in Cloud PaaS Archs | Srinivas Pagadala Sekar | 21m |
Claims that an LLM-enhanced observability layer ingests metrics, logs, traces and CI/CD events into vector databases, runs low-latency inference, and provides… | ||
| Reinforcement Learning with Human Feedback in Distributed Systems | Jyotirmoy Sundi | 17m |
Claims that RLHF scales on Kubernetes clusters using DeepSpeed and Lightning AI with NVLink and NCCL for low‑latency multiGPU sync, running 4–8 GPUs per pod… | ||
| Scaling Identity for Global SASE with Keycloak | Vivek Koodakkara Shanmughan | 12m |
Proposal: deploy autonomous Keycloak clusters as regional hub model (Americas, EMEA, APAC) to cut 200–300 ms cross‑region authentication delays, improve… | ||
| Future-Ready Cloud: Microservices, Edge, and Emerging Tech | Surya Prabha Busi | 26m |
Shows concrete results and tools: 91% microservices adoption with a 76% reduction in deployment time, 50% cost reduction and 83% fewer systemwide failures… | ||
| Architecting Secure and Scalable Integration Platforms for FinTech | Satya Purella | 14m |
Claims concrete designs and outcomes: an API gateway with OAuth2 and OpenID Connect with JWT enforces rate limits, circuit breakers and WAF rules; a service… | ||
| Defense-in-Depth Security for Mission-Critical Service | Karthikeyan Thirumalaisamy | 21m |
Presents a concrete defense‑in‑depth architecture that maps specific controls to four layers—cloud, cluster, container, code—and claims it closes the remaining… | ||
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