Conf42 Cloud Native 2025
2025-03-06
-- online --
[Conf42 Cloud Native 2021, Conf42 Cloud Native 2022, Conf42 Cloud Native 2023, Conf42 Cloud Native 2025, Conf42 Cloud Native 2026]
| title | author | length |
|---|---|---|
| Managing Databases in the Cloud is BROKEN! | Matan Nataf | 18m |
Rapido live demo shows an automation-first platform that targets fleets of RDS/Postgres/MySQL instances, with a rule engine: block throttle cache that runs in… | ||
| Cloud Testing Without the Wait: K8 development experience | Anita Ihuman | 25m |
Claims a practical way to push cloud testing earlier so developers catch cloud-specific bugs in seconds not hours, using shift left on cloud testing via the… | ||
| 99.99% Uptime: K8s for Industrial Ecosystems | Gayathri Jeganmohan | 17m |
Claims 40% faster deployment cycles and 3x improvement in fault isolation while targeting 99.99% uptime for industrial IoT by combining autoscaling… | ||
| Streamline your Cloud Native Application Deployment using AWS SAM | Urmila Raju | 50m |
Claim: AWS SAM actually packages, builds and deploys a working serverless app end to end. Tools used: sam init / sam build / sam local (with Docker), sam sync… | ||
| Optimizing Backend API Performance | Garima Agarwal | 13m |
Describes concrete fixes: use HikariCP connection pooling to cut connect/close overhead, add @Cacheable for method results to eliminate repeated DB hits… | ||
| Distributed Caching & Queueing in the Cloud | Wisdom Matthew | 15m |
Claims that sharding raises capacity from 5 GB per node to 15 GB by adding two nodes, replication uses a primary‑secondary master for writes and secondaries… | ||
| Chaos Engineering Community Tales and Future | Prithvi Raj Venkat Raj | 33m |
Compares concrete signals: adoption numbers like 5000 GitHub stars for litmus and 9,000+ Slack members, recent commit activity such as ~100 commits to Chaos… | ||
| Automating Cloud-Native Infra with Intelligent Tools | Lakshmi Supriya Namana | 05m |
Claim: AI actually predicts failures before they occur and triggers a self-healing system that resolves incidents and enables smart autoscaling for cost… | ||
| Building Resilient Apache Spark Clusters on K8s for AI Workloads | Ankit Awasthi | 12m |
Claims that Retrieval-Augmented Generation plus a customer data platform produce hyper‑personalized LLM responses, with three concrete implementations… | ||
| Transforming Insurance Through AI | Bhaskara Beeraka | 13m |
Claims concrete numbers and working components not slogans: 85% underwriting accuracy from neural nets and gradient boosting, underwriting time cut from weeks… | ||
| AI-Driven Innovation for Enhanced Food Delivery Operations | Praveen Payili | 08m |
Claims concrete operational results: 94.3% accuracy moderation detecting inappropriate messages at 1,400 msg/min with <50 ms latency yielding 82% faster… | ||
| Building Apache Spark Clusters on K8s for AI Workloads | Anant Kumar | 26m |
Claim: a resilient Spark-on-Kubernetes pipeline that actually processes terabytes and cuts cost while improving throughput. It uses the Spark Operator via… | ||
| Real-Time Surveillance of Antibiotic Resistance | Karthik Akinapelli | 09m |
Phase three, double blind trial enrolls 1671 women across 142 sites in four countries and directly compares oral agents with real‑world clinical outcomes. Key… | ||
| Revolutionizing the Music Industry with Data Science | Maksim Kariagin | 13m |
Claims concrete numbers and runnable tools: 2.5 trillion streaming points, 10 billion daily transactions and 15,000 tracked parameters feed Chartmetric and… | ||
| How Rule-Based AI is Transforming Dental Insurance Claims | Pravesh Nikhare | 15m |
Rule-based AI combined with NLP and predictive analytics actually auto-processes high-volume claims and integrates with legacy systems via phased rollout; real… | ||
| AI in Procurement: Enhancing Supply Chain Resilience | Parameswara Rao Tatini | 10m |
Claims specific gains: 37% faster processing for purchase orders, 60% shorter contract review and 70% to 95% forecasting accuracy backed by AI models… | ||
| AI-Powered Predictive Analytics for Multi-Cloud Management | Veda Swaroop Meduri | 12m |
Predictive systems claim 95% accuracy for demand forecasting and 30–40% cost reduction during low utilization while automated provisioning cuts configuration… | ||
| Machine Learning Meets K8s | Prashanth Lakshmi Narayana Chaitanya Josyula | 26m |
Argues Kubernetes solves ML pain points with concrete mechanisms: dynamic GPU allocation and autoscaling, namespace resource quotas, persistent volumes for… | ||
| Navigating the World of API Gateways | Roman Rastiehaiev | 22m |
Compares five open‑source gateways—API6 (OpenResty + LuaJIT), Kong (OpenResty), Tyk (MPL), KrakenD (stateless), Gloo Edge (Envoy)—and gives concrete… | ||
| Your API needs to operate on the worldwide edge | Adrian Machado | 33m |
Shows an ATM locator demo built with Cloudflare D1 and an edge function, claims raw D1 queries take ~830–1,300 ms while edge caching cuts responses to ~25–70… | ||
| Netrunner's Guide to AWS SES: Hacking Communication Barriers | Dmytro Hlotenko | 51m |
Claims production system sends 500,000 emails daily, uses Amazon SES plus SQS SNS CloudWatch Lambda and S3 for copies, and enforces SPF DKIM and custom MAIL… | ||
| Life of a packet in Amazon EKS | Dumlu Timuralp | 49m |
Shows concrete packet walks in Amazon EKS and claims what actually happens: VPC CNI maps pod IPs to ENIs using secondary IPs so pod-to-pod can trombone across… | ||
| Ultra-Budget AWS: Running Scalable Apps for Pennies | Maksymilian Kalek | 19m |
Concrete cost claim: a production‑ready MVP runs for $3 per month. Implementation uses GitHub Actions + CDK for CI/CD and infra as code, static frontend on S3… | ||
| Transforming Big Data into Real-Time Product Insights | Nimit Bhardwaj | 07m |
Claims that cloud-native pipelines turn big data into actionable product signals by moving from batch to streaming and cutting decision latency from hours to… | ||
| Breaking Data Silos: Enterprise Data Management | Siddhartha Parimi | 11m |
Claims a move from warehouses to lakehouses yields 30% cost reduction and 90% faster queries by unifying storage and compute, replacing redundant ETL with… | ||
| Enhancing Business Resilience with Azure Site Recovery | Somaning Turwale | 08m |
Azure Site Recovery demonstrates concrete results: 10 minute RTO and 30 second RPO for enterprise VMs, tested failovers showing a 76% reduction in downtime… | ||
| Cloud-Native Data Integration: AI-Driven Solutions | Srujan Reddy Anugu | 12m |
Cloud-native integration claims concrete results: AWS Glue and peers (Google Cloud Dataflow SAP Data Services Informatica Dell Boomi SnapLogic Apache NiFi)… | ||
| Optimizing Product Management with Multi-Tenancy Architecture | Waqas Khan | 11m |
Claims concrete migration results: one company cuts onboarding from 232 hours to 76 hours, bug fixes shrink from ~5 hours to ~1–2 hours, and several large… | ||
| Enabling Scalable Data Analytics for Enterprise Success | Prithvi Raju Rudraraju | 15m |
Claims that 83% of Enterprise data migrates to Cloud by 2025 and that platform services like Microsoft aure app Services and AWS elastic being T can reduce… | ||
| Decetralized P2P networks | Akim Mamedov | 15m |
Covers concrete claims and tools: IPFS distributes files worldwide and enables parallel downloads like BitTorrent, Fluence runs Aqua code across provider nodes… | ||
| Why and how build your own web server in C# | Lucas Girardin | 33m |
Concrete claim: a minimal C# web server runs on .NET both on Linux and Windows and actually serves requests (hello world demo) using a simple HTTP parser and… | ||
| Agentic AI & Blockchain: Autonomous Systems | Shubham Gupta | 21m |
Claims that agentic systems run on an autonomy engine with six core components including reinforcement learning, memory, reasoning and a governance layer that… | ||
| Have your head in the clouds, keep your feet on the ground | Pawel Skrzypek | 15m |
Nebulus delivers a claimed meta operating system that deploys and reconfigures apps across multiple Kubernetes clusters using a metrics-driven optimizer and… | ||
| Revolutionizing Last-Mile Delivery: Power of Cloud Computing | Maimoon Saleem | 07m |
Cloud and IoT drive concrete gains: 53% of total shipping costs come from last mile so routing and fleet telemetry matter, AWS powers Amazon's system and AWS… | ||
| Smart Cities Unleashed | Timothy J Spann | 24m |
Live demo shows NiFi ingesting Transcom RSS XML converted to JSON, splitting records, adding timestamps, unique IDs and lat/long, and loading into Snowflake… | ||
| Tree Ensemble Classifiers on heterogeneous platforms | Andrei Stroganov | 11m |
Evaluation compares Random Forest and Gradient Boosting running on an octacore heterogeneous octacore (1 big, 3 mid, 4 small) using ONNX Runtime and a weather… | ||
| Radical Therapy for Software Teams | Gregory Lind | 21m |
Claims measurable results: a merge product and developer backlogs policy, an enforced commit code on day one rule, and built tooling—buley product Labs with AI… | ||
| Revolutionizing Cloud-Native Applications with NLP | Mohit Mittal | 12m |
Claims include LLMs like GPT 4 reaching medical-text accuracy around 90–95% and legal-review automation at ~92%, cloud NLP deployment at 60% of the market and… | ||
| Cloud-Native Data Engineering in Healthcare | Santhosh Kumar Rai | 10m |
Claims concrete outcomes: real-time ETL pipelines process thousands of vitals per second enabling anomaly detection at 95% and 60% faster critical response… | ||
| API-Led Healthcare Transformatio with MuleSoft | Venugopal Reddy Depa | 35m |
MuleSoft’s API‑led three‑layer architecture connects legacy EHRs, labs and imaging systems and claims concrete outcomes: 65% reduction in integration time… | ||
| Low-Maintenance Backend Architectures for Scalable Applications | Rinku Mohan | 13m |
Argues for an event-driven architecture with consumer lag metering and rate limiting so bursts are absorbed by adding consumers instead of blocking requests… | ||
| Introduction to SpinKube | Mikkel Mørk Hegnhøj | 37m |
Demo builds a TypeScript Spin app into a 12 MB WebAssembly binary, packages it as an OCI image, pushes it to a registry, and deploys it via a Spin App custom… | ||
| Transforming Fleet Management with AI, IoT, and Kubernetes | Vamsi Anumolu | 15m |
Claims include predictive maintenance cuts downtime 40% and 90% failure forecasts two weeks ahead backed by a system ingesting 500,000 realtime sensor points… | ||
| Microservices at Scale | Abdul Hameed Mohammed | 08m |
Claims concrete gains: every 11.7 seconds deploy rate claimed for Amazon/Google, adoption up 50% year‑over‑year since 2020 and 84% of enterprises cloud‑native… | ||
| In Defense of Microservices | Chad Green | 01h 18m |
Claims that microservices are finally entering an era of intelligent maturity after the 2014–2018 hype and 2018–2022 rising skepticism phase, shows concrete… | ||
| Building Scalable and Fault-Tolerant Systems | Praful Konduru | 20m |
Claims a runnable microservice stack with concrete artifacts: Java Spring Boot REST example with a Dockerfile using an OpenJDK base, a built image called… | ||
| The Evolution of Microservices Architecture in Cloud-Native | Muhammad Rizwan | 08m |
Claims that migrating yields independent scaling faster deploys and higher resilience and shows concrete tools and patterns: Docker and Kubernetes for… | ||
| Scalable Data and AI Solutions with Cloud-Native Architecture | Meethun Panda | 19m |
Claims a working cloud‑native RAG pipeline that chunks docs, creates embeddings, and stores them in vector database Pinecone while serving containerized front… | ||
| Transforming Problem-Solving with Data-Driven Insights | Nikhil Bharadwaj Ramashasthri | 11m |
Claims a measurable lift: 70% reduction in analysis time, diagnostic accuracy rising from 78% to 95% and mean time to resolve dropping from 8 to 4 hours… | ||
| Salesforce Platform & AI Agentforce as a CloudNative App | Pradeep Reddy Guttha | 07m |
Claims that Salesforce Agent Force is implemented as a cloud-native app running in Docker containers with Kubernetes orchestration, using microservices and… | ||
| Reference Architecture of AI in the Cloud | Radu Vunvulea | 47m |
Concrete claims and artifacts: a reference AI architecture that enumerates five focus areas and nine architectural components, compares using OpenAI, Azure… | ||
| Bringing Container-Native Simplicity to AI/ML | Shivay Lamba | 23m |
Claims that 80% never reach production and offers a concrete toolset: an OCI‑compliant model kit plus a kit CLI (kit version, kit login, kit pack, kit unpack… | ||
| AI-Powered Clinical Trials | Vamsi Upputuri | 13m |
Claims include concrete numbers and outcomes: 45% shorter trial duration, 37% fewer screening failures and 85% accuracy in automated data extraction, plus 83%… | ||
| The Next Generation of SAP Cloud ERP with AI | Sravan Kumar Nendrambaka | 17m |
Clear claims and measurable results: S/4HANA Cloud plus SAP BTP and SAP Data Intelligence deliver automated migrations, in-memory DB 2,000x faster analytics… | ||
| Cloud-Native AI for Fraud Prevention with Bayesian Networks | Surendra Lakkaraju | 14m |
Claims a deployed system combining reinforcement learning with Bayesian networks and real‑time architecture that processes up to 42,000 transactions per second… | ||
| AI-Powered Digital Twins: Patterns for Smart Manufacturing | Vinoth Manamala | 10m |
Claims and concrete patterns: an event-first architecture that tracks every event, AI with time-aware neural networks, edge-deployed lightweight ML, computer… | ||
| Achieving Seamless O11y Across Cloud Providers | Arun Pandiyan Perumal | 13m |
Claims a unified multicloud monitoring stack that Prometheus Grafana OpenTelemetry and commercial platforms (New Relic Dynatrace Splunk) integrate to monitor… | ||
| Harnessing Chaos Engineering to Build Robust Systems | Sai Prakash Narasingu | 12m |
Claims that OpenTelemetry reduces vendor lock‑in and standardizes tracing, and that Netflix Uber and Airbnb run the stack in production using Prometheus +… | ||
| Building Observability into Cloud-Native Applications | Muhammad Ahmad Saeed | 16m |
Defines three pillars: logs metrics traces and gives five implementation steps: instrumentation central store visualization contextualization automation Names… | ||
| Optimizing Cache Usage in Docker Builds | Eti Ijeoma | 15m |
Shows that reordering Dockerfile steps yields concrete savings by copying dependencies first so later code changes reuse the dependency layer instead of… | ||
| Cloud Compute Cost Showdown | Seshendranath Balla Venkata | 17m |
Claims here include 50–80% savings on EBS by using instance local storage (example: i3 4xlarge with 3.6 TB) and 25% from autoscaling tweaks by preferring… | ||
| Optimizing Multi-Tenant SaaS | Shinu Pushpan | 12m |
Claims concrete outcomes and concrete tools: shared tables with tenant_id, separate schemas or separate databases as three clear data patterns; JWT… | ||
| Mobile-First Loan Application Platform | Ravi Chandra Chinta | 09m |
Build described is a responsive borrower portal on Experience Cloud on Lightning with realtime document uploads, e‑signature, personalized dashboards and… | ||
| A Cloud-Native Tool for the mass | Bharath Nallapeta | 18m |
Claims an enterprise‑grade open‑source platform called Codent that actually provisions and manages multi‑cloud Kubernetes clusters end‑to‑end using cluster… | ||
| Keep Cloud Infrastructure Flexible with Ports & Adapters | Asher Sterkin | 12m |
Claims that cloud choices usually come from personal taste not data and recommends a set‑based engineering approach that keeps options open. Describes… | ||
| Simplifying Cloud Management with a Personal Touch | Denish Tomar | 05m |
Cloud management gets specific: a real client migration to Cumulus replaces per-operation charges with a predictable unit-based pricing called the cumes… | ||
| The Secret to Handling Dynamic Secrets | Rosemary Wang | 47m |
Shows concrete patterns and working code: uses Vault with a Vault Secrets operator on Kubernetes to inject secrets, demos a dynamic DB credential that leases… | ||
| Energy-Efficient and Cost-Optimized Serverless Computing | Neetu Gangwani | 10m |
Claims concrete savings and implemented techniques: energy-aware autoscaling using ML reduces energy waste by up to 30%, ARM-based processors and hardware… | ||
| Multi-Layer Defense for Scalable Threat Mitigation | Chakradhar Sunkesula | 12m |
Claims measured results like up to 90% reduction in successful breaches and 76% savings on incident costs, with concrete mechanisms: AI-driven threat… | ||
| Blockchain-Powered Incident Management | Jugnu Misal | 10m |
Claims a production deployment in a large financial firm cuts mean time to resolve from almost two days to 72% faster and makes compliance reporting 89%… | ||
| AI-Powered Fraud Detection in Financial System | Sandeep Jarugula | 08m |
Claims concrete outcomes: systems built with predictive analytics, behavior-based models and machine learning process transactions in milliseconds, report… | ||
| Micro-Segmentation's Impact on Cloud Environments | Venkata Nedunoori | 24m |
Microsegmentation enforces identity‑based least privilege across a cloud workload graph, splitting a web‑app‑db stack so web–app allowed, web–db blocked via… | ||
| Securing Tomorrow’s Hardware: Dual-State Models in the AI Era | Fnu Parshant | 21m |
Claims that a dual-state model confines secrets by enforcing a hardened secure zone separate from a non‑secure runtime, backed by concrete mechanisms: address… | ||
| AI-Powered Fraud Detection in Cloud-Native Digital Payments | Sandeep Katuri | 26m |
Claims specific measurable gains: deep learning models detect fraud with 80% improvement over rule-based systems, advanced ML reports >98% accuracy and… | ||
| Unlocking Business Insights with OpenTelemetry | Brian Loomis | 29m |
A prototype implements OpenTelemetry emitters and tiered global collector plus local collectors to drive feedback loops that auto‑provision clusters, anonymize… | ||
| Decentralized Automation & RESTful Integration with | Daniel Moya | 42m |
Dimensigon is a working decentralized automation system: a Python Flask DM core exposes a REST API, a CLI D-shell translates commands, and a Docker bridge demo… | ||
| Simplifying K8s Connectivity With a Powerful CLI for SRE's | Sai Sandeep Ogety | 17m |
kConnect is an open source CLI that actually generates kubeconfigs, discovers clusters and authenticates across EKS AKS RKE and Rancher using SSO, AWS IAM and… | ||
| Enhancing Workflow Reliability with Dapr | Siri Varma Vegiraju | 20m |
Demo shows Dapr providing checkpointing at offset level so a workflow processing ten files with 100,000 rows each resumes after a pod crash without… | ||
| Azure Landing Zone: Accelerating Cloud Transformation | Srinivasarao Thumala | 12m |
Azure landing zone defines a concrete platform: management groups and identity/management/connectivity subscriptions with a hub network, policies and RBAC… | ||
| Software-Defined Networking for IoT and 5G | Sai Charan Madugula | 09m |
Claims concrete outcomes: 75 billion devices by 2025 and sub‑millisecond 5G latency with peak speeds >20 Gbps; specific percent reductions — reduces latency by… | ||
| Cloud-Powered Retail: Serving Future Needs Today | Rustam Orudzhev | 26m |
Clear claim: retail survival requires cloud or it loses customers. Concrete examples and tools: Walmart migrated to Microsoft Azure starting 2010 and continues… | ||
| nothing matches | ||