Great International Developer Summit 2024
2024-04-23..2024-04-26
Bengaluru, India
[Great International Developer Summit 2023, Great International Developer Summit 2024, Great International Developer Summit 2025]
| title | author | length |
|---|---|---|
| Advancing HPC The Hybrid Scheduler Approach at the D.E.Shaw Group | Alex Tringham | 20m |
A hybrid scheduler bridges an on‑prem orchestration platform (maestro) and multiple clouds using the same CLI and Python APIs, letting workloads burst into the… | ||
| From VB to Angular and Beyond Mastering Legacy Codebase Modernization | Narendra Pathai | 49m |
A large EMR product with 1.4 million lines of VB front end, 300 developers and 800,000 users migrates from VB6 to AngularJS using a Strangler fig incremental… | ||
| Hypermedia and the Rest of REST | Michael Carducci | 01h 02m |
Argument: REST is widely misused because hypermedia — the central pillar Fielding defines — is missing from most APIs, and that absence breaks evolvability… | ||
| Leading Tech powered Experiences at Walmart with GenAI | Rekha Joshi | 29m |
Imagine organizing a football viewing party without the hassle of searching for every single item—be it chips, soft drinks or a 90-inch TV. With Walmart’s new… | ||
| Taming Kubernetes Streamlining Inner loop Development for Distributed Systems | Kevin Dubois | 01h 01m |
Quick usable detail: Quarkus Dev mode provides hot reload and test reruns while TestContainers Dev Services auto-starts real Postgres and Kafka containers so… | ||
| Vector Search on the Edge Powering Mobile and IoT with AI | Shivay Lamba | 30m |
Shows running vector search entirely on-device using Couchbase Lite with a new beta vector field stored as descriptionVector in JSON and queried via SQL-like… | ||
| React + Ember A Practical Guide to Micro Frontend Integration | Vinu Prasad | 30m |
A practical migration example: an Ember monolith moves one module to a React micro frontend loaded at runtime as a web component with shadow root to stop CSS… | ||
| Distributed SQL How TiDB Modernized Data Management | Sunny Bains | 29m |
TiDB is a MySQL‑compatible distributed SQL system that uses TiKV + Raft, PD (placement driver) and a strongly consistent column store TFlash to avoid manual… | ||
| The Linux Shell - From Novice to Wizard | Michael Carducci | 01h 01m |
Starts at concrete commands and ends with composable workflows: file navigation with ls -la, cd, pwd; file ops like touch, cp, mv, rm -r; viewing with… | ||
| Software Architecture for Gen AI | Rebecca Parsons | 01h 01m |
Argues against building private foundational models because of energy and data costs and recommends RAG and fine-tuning-light patterns instead; warns… | ||
| GraalVM in a Nutshell | Sachin Pikle | 29m |
Compares JIT versus ahead‑of‑time compilation with GraalVM Native Image and shows practical builds using Maven/Gradle plugins, tracing agent and profile‑guided… | ||
| How Do You Query a Stream? | Tim Berglund | 52m |
Kafka topics become queryable in four different ways with clear tradeoffs: Kafka Connect → Postgres copies events into a relational DB for familiar key lookups… | ||
| Distributed SQL: How TiDB Modernized Data Management | Sunny Bains | 29m |
TiDB is a MySQL‑compatible distributed SQL DBMS that claims strong consistency via Raft (TiKV) and a PD placement driver while scaling to hundreds of TBs and… | ||
| Accelerate Your Developer Productivity with AI Embrace the Future Now! | Kito Mann | 57m |
Shows concrete wins and limits: ChatGPT and Copilot generate code, docs, tests and PR text, but hallucinate and may use user inputs for training unless… | ||
| Designing with Sealed Classes | Venkat Subramaniam | 01h 01m |
Sealed classes in modern Java close inheritance for plugin-style APIs so core abstractions can be public but not extensible, replacing brittle hacks like… | ||
| More Tales from the Dark Side: How AI is the Bad Guys New Friend | Steve Poole | 55m |
Claims rapid growth from ~$450B in 2016 to ~$6T now and ~57% yearly rise, and shows concrete attacks: a fake USB charger with GSM chip that phones home and… | ||
| ✊ Join the DEV-olution: A Culture of Empowered Developers | Seve Peters | 59m |
Argues that developer culture improves when teams get measurable autonomy and simple rituals: use Compass scorecards and an opportunity score to spot wait time… | ||
| Scaling Data Platforms: Managing Growth from Zero to Billions of Transactions | Vivek Viswanathan | 25m |
Arcesium scales a data platform that processes ~120 million records/day and ~70k pods/day with 5k pods/hr variance by using Argo workflows for event-triggered… | ||
| Continuous Accessibility: Adding Lighthouse to Your CI/CD Pipeline | Scott Davis | 56m |
Shows how to run Google Lighthouse from the CLI and CI/CD to produce HTML/JSON/CSV reports, throttle mobile emulation, and limit audits to accessibility… | ||
| Interpreter Pattern In Light of Java 21 | Daniel Hinojosa | 56m |
Classic Interpreter bakes evaluation into mutable domain objects so changing interpretation forces edits and mixing of concerns; modern Java 21 split solves… | ||
| Practical Java Problem Solving: A Hands-On Guide to Debugging | Gireesh Punathil, Alshama M S | 58m |
Provides concrete debugging moves: use native and custom debuggers plus replay compilers (OpenJ9) to record and forward‑replay failures, take heap snapshots… | ||
| From SQL to NoSQL | Brian Sam-Bodden | 47m |
Argues that Redis plus a search engine reproduces many SQL patterns: stores application objects as Redis JSON documents, builds indexes with FT.CREATE and… | ||
| Observing Applications in Production | Venkat Subramaniam | 58m |
Claim: production systems need end-to-end observability, not just topic-level monitoring. Concrete practices: use cloud vendor tooling (AWS/GCP/Azure) or New… | ||
| Architecting for Hyperscale with AWS: Navigating Real-world Serverless Challenges | Pawan Puthran | 51m |
Architecture used for a COVID‑scale launch handles millions: front end on S3+CloudFront, API Gateway (default 10,000 RPS API Gateway), Lambda with default… | ||
| JDK 19 Virtual Threads: Skip Reactive, Boost Throughput | Kito Mann | 57m |
Project Loom’s virtual threads claim: get reactive-level throughput while keeping thread‑per‑request code. It uses JDK 19/21 features, the new… | ||
| Give Your LLMs a Left Brain | Stephen Chin | 47m |
Shows that combining Backstage and Red Hat OpenShift Container Platform with a knowledge-graph layer fixes LLM weaknesses: a retrieval flow queries the graph… | ||
| Distributed Tracing Integration with OpenTelemetry and Knative _ _ _ | Daniel Oh, Kevin Dubois | 28m |
Demo shows a Quarkus Java REST app deployed to OpenShift/Knative that scales to zero and back while OpenTelemetry captures traces without changing app code… | ||
| Navigating Innovation with Open Hybrid Cloud and Openshift AI | Tuhin Kanti Sharma | 29m |
Claims that 80% of enterprises will deploy Gen AI apps in the next few years and a survey showing 93% of unicorns use multiple public clouds and 81% combine… | ||
| JUnit 5's Best Features | Kenneth Kousen | 57m |
Walkthrough of concrete JUnit 5 features with runnable examples and a public repo: shows switching test lifecycles to per-class instantiation to avoid… | ||
| Harnessing the Power of Automation Testing and RPA | Surekha Jagadish | 25m |
Claims that automated testing and RPA cut risk and time with concrete tools: Zoho QEngine (no-code recorder, low‑code builder and pro‑code editor) runs web… | ||
| Enhancing AI with Edge Computing: A Leap Towards Affordable Performance | Rajiv Srivastava | 29m |
Claims that commodity edge devices (mobile CPUs, IoT sensors) run lightweight LLM inference and reduce cloud cost by offloading sensitive data to edge while… | ||
| Generative AI Impact on Enterprises | Rajdeep Dua | 17m |
Forecasted 42% CAGR and a projected market of $1.3 trillion by 2032, with estimated enterprise productivity gains of ~3.3 points. Early adopters include TMT… | ||
| Vector Databases for GenAI applications | Abhishek Gupta | 33m |
Vectors encode text, images, audio and video into numeric embeddings and semantic search returns the top-N most relevant chunks; demo uses Amazon OpenSearch +… | ||
| Optimizing App Development with Generative AI | Karthikeyan P Ramasamy | 32m |
Freshworks ships Freddy Copilot for Developers, an IDE-integrated system that turns use-case sentences or Figma/hand-drawn screens into HTML/JS skeletons… | ||
| Enhancing Developer Productivity with Low-Code | Tribin Roy | 23m |
Zoho Creator is a sixth‑generation low‑code platform claiming to boost productivity across citizen, business and pro developers; it powers end‑to‑end vendor… | ||
| Simplifying Kubernetes: Streamlining Secure App Deployment in DevSecOps | Ramakrishna Reddy Yekulla | 20m |
Shows a concrete pipeline that ties Kubernetes deployments into Red Hat’s trusted supply chain using Sigstore (cosign/fulcio/rekor) for artifact signing and… | ||
| Lies, Damn Lies, and AIs | Jim Webber | 27m |
Argues that pairing deterministic Knowledge Graph stores with LLMs via RAG cuts hallucinations and adds explainability, citing a paper where SQL+RAG lifts… | ||
| Conquering Complexity: Refactoring JavaScript Projects | Phil Nash | 40m |
Shows how to find and shrink real complexity using cognitive complexity scores (example: a function rated 34 flagged to cut to 15), using SonarLint and its… | ||
| Boosting Digital Transformation: Citizen Developers Meet Platform Engineering | Parul Ghosh | 23m |
Claims that 41% of the organization are citizen developers and that hyperautomation can cut operational inefficiency by ~60% drive the talk: practical stack… | ||
| Using GenAI with Audio Data for Driving Better Customer Experience | Ritabrata Saha | 27m |
Shows a concrete pipeline: audio files run through Whisper on Snowpark Container Services to produce transcripts, custom prompts extract tabular fields… | ||
| Streamlining Cloud-Native Development with OpenShift and Backstage | Mohit Suman | 22m |
Shows Backstage wired to Red Hat OpenShift and Red Hat Developer Hub with OpenShift Dev Spaces, GitOps and CI so a Quarkus + Kafka game is created, pushed… | ||
| Next-Gen Testing Tools for Java | Daniel Hinojosa | 55m |
Covers concrete tools and results: JQwik property-based testing generates thousands of inputs, finds a failing case at the 71st try and shrinks it to a minimal… | ||
| Homegrown Technology at Scale | Gorur Shrinivas | 18m |
Target runs about 2,000 stores and a platform that handles 500,000+ orders/hour with ~150 ms 99th-percentile latency, splits technology into distinct retail… | ||
| An Architect's Approach to API Strategies | Michael Carducci | 01h 01m |
Compares concrete API styles and their trade-offs: RPC/SOAP give fast, tightly coupled endpoints that are easy to ship but brittle; REST (Richardson levels)… | ||
| From Spring Boot 2 to Spring Boot 3 with Java 21 and Jakarta EE | Ivar Grimstad | 59m |
Spring Boot 3 upgrades to the Jakarta EE 9+ APIs so javax -> jakarta breaks appear immediately: compilation errors on imports, failing context-load tests, and… | ||
| Hypeless TypeScript | Venkat Subramaniam | 55m |
Argues TypeScript is a JavaScript superset that compiles with tsc to plain JS so static checks exist at compile time but runtime behavior remains JavaScript… | ||
| Kafka Streams and KSQLDB | Daniel Hinojosa | 01h 07m |
Kafka becomes an end-to-end streaming ETL: producers write to partitioned topics (default retention one week), consumers form group IDs and rebalance, and… | ||
| Navigating the OpenTofu Landscape: From Basics to Mastery | Hemangi Subodh Karchalkar | 32m |
OpenTofu launches as a community-driven Terraform-compatible IaC fork (first release January 2024) that claims drop-in compatibility with Terraform 1.6x and a… | ||
| Tailor-Made Software Architecture | Michael Carducci | 01h 02m |
Argues that architectural capabilities arise from explicit constraints, not from picking a pattern, and introduces the Tailor‑Made Software Architecture Model… | ||
| Multithreading vs Asynchronous Programming: The Architectural Shift | Venkat Subramaniam | 01h 01m |
Compares Java threading evolution with concrete failures and fixes: a two-thread pool example shows a pool-induced deadlock when parent tasks spawn children… | ||
| Hire Like a Boss | Venkat Subramaniam | 01h 03m |
Claims hiring mistakes cost 30% of an employee’s first‑year earnings and that 75% of companies report hiring the wrong person; examples include single openings… | ||
| Kafka: The Must Know Pub/Sub | Daniel Hinojosa | 54m |
Explains Kafka as a distributed pub/sub used as a microservice data backplane, covering components, CLI tools (kafka-console-producer/consumer, kafka-topics)… | ||
| Software as a Catalyst for Change: Building a Sustainable Digital Future | Arun Gopinath | 16m |
Company deploys private wireless + edge computing to link sensors, robots and ships, helping the Ocean Cleanup locate plastic (project reached 10 million kg… | ||
| Developer Joy – How Great Teams Get S%*t Done | Sven Peters | 58m |
Software teams measure and improve developer experience with concrete changes: a flaky test monitor reruns failing tests, flags and skips >100 flaky tests last… | ||
| Modern Java 21+: The Next-Level Upgrade | Kenneth Kousen | 01h 03m |
Survey of Java 9–21 features with concrete examples: uses the built-in HTTP client and Jackson to call open-notify.org, parse JSON into records, and assert… | ||
| Third Way Web Development | Michael Carducci | 01h 02m |
Argues for HTMX as a practical “third way,” a 14 KB gzipped library (~3,500 lines) that turns any element into a hypermedia control so links and forms perform… | ||
| Integrating Generative AI into Modern Software Solutions | Abhishek Vijaya Kumar | 58m |
Covers concrete integrations: uses RAG with vector DBs (Pinecone, vv8) for code search, VS Code plugins like CodeGPT and GitHub Copilot for explanation… | ||
| Event Driven AI: Supercharging ChatGPT with RAG & LangStream | Mary Grygleski | 51m |
Argues that combining RAG with event streaming lets ChatGPT-style models answer from live data by wiring retrieval and generation into pipelines. Uses… | ||
| Worth a Million Arguments | Venkat Subramaniam | 01h 00m |
Argues that arguments lose to evidence and shows concrete examples: a 2,000-train purchase discovers 1,300 stations are too small; the Vasa warship and Tacoma… | ||
| Browser Native Web Development: No Frameworks, Just the Browser | Scott Davis | 49m |
Claims concrete enough to act on: Netflix removes React from its landing page and records a 50% improvement in time‑to‑interactive; GitHub drops jQuery and… | ||
| Unpacking Scattering Vision Transformer: A New Dawn in Computer Vision | Badri Patro | 35m |
Introduces Scattering Vision Transformer (SVT), a vision model that replaces quadratic attention with spectral mixing (Fourier/DCT/sine bases), splits low/high… | ||
| Generative AI Text and Multimodal Embedding Models for Real World Use Cases | Ravi Manjunatha | 32m |
Shows how Vertex AI text and multimodal embeddings power real systems with concrete numbers and tools: 768‑dim text vectors, ~1,148‑dim multimodal vectors… | ||
| Temporal: A Better Way to Build Modern Applications | Tom Wheeler | 26m |
Temporal is an open source platform that provides durable execution so workflows survive process crashes, hardware failures and timeouts and resume from the… | ||
| Spring into the AI Era: A Practical Exploration for Developers | Brian Benz | 55m |
Hands-on walkthrough that builds a Spring Boot app from the CLI, wires it to Azure OpenAI using GPT 35 turbo 16k, and shows embeddings + retrieval augmented… | ||
| Building Distributed Platforms at Extreme Scale on Fast Changing Data | Prathap Narasimhan | 21m |
Target builds a platform that tracks inventory across 2,000+ stores and a 4M-item catalog (billions of item‑locations), ingesting ~5,000 supply changes/sec and… | ||
| Building Scalable ML Systems: Strategies and Insights | Bharathi Balasubramaniam | 21m |
Freshworks builds production ML for Freshworks CRM that solves cold start by stacking models — account-specific → cluster/industry → global fallback — and… | ||
| Implementing Effective Disaster Recovery in Stock Brokerage | Abhishek Tomar | 19m |
Angel One runs a four-layered stack from Exchange to RMS, Middleware and applications with active‑active, live‑live sync across Mumbai, Chennai and AWS using… | ||
| Changing Engines Inflight - A Real Life Modernisation Story | Nitesh Jain | 32m |
A 28‑year stockbroking platform modernizes without downtime by running two parallel tracks: stabilize legacy with Grafana/Prometheus monitoring and centralized… | ||
| AI Demystified Unveiling the Intelligence Behind the Machine | Sathrukkan Kandasamy | 27m |
Claims a working local LLM pipeline that runs Llama 3 8B on a laptop using the Ollama runtime, demonstrates retrieval-augmented generation with chunking… | ||
| Securing Cloud Native CI/CD with the Dynamic Duo of Tekton and ArgoCD | Kevin Dubois | 30m |
Shows a full CI/CD flow that actually builds, signs and deploys a Quarkus/React game: a Tekton pipeline runs tasks for git clone, package, source scan, image… | ||
| Mastering Ansible Efficiency with IBM Watson Integration | Ganesh Nalwade | 27m |
Shows how Ansible Lightspeed plus Code Assistant turns natural-language prompts into runnable Ansible playbooks inside a VS Code extension, with one-time model… | ||
| Java's New Powers Hero or Villain in Your Code? | Mala Gupta | 58m |
Demonstrates Java 22 language previews by running String Templates in String Templates and custom processors inside IntelliJ IDEA (uses the sStr and fmt… | ||
| Selecting the Best LLMs with Model Cockpit | Sundeep Paluru | 25m |
Freshworks ships a persona-based Model Cockpit (UI + API) that centralizes model selection, licensing, benchmarking, staging and promotion into production… | ||
| Navigating Complexity in Distributed Microservices | Daniel Paul | 23m |
Claims an observability platform (product named site 247) that collects logs, metrics, traces, APM and RUM and correlates them with business KPIs to pinpoint… | ||
| Next.js: Choosing an Optimal Rendering Pattern for your Application | Logan Bittner | 25m |
Compares concrete rendering patterns in Next.js and when to use each: Single Page Apps trade simplicity for a white screen and poor SEO; SSG yields instant… | ||
| The Death Star and the Ultimate Vulnerability | Jamie Lee Coleman | 37m |
Modern apps run on Software Composition Analysis and SBOM practices because roughly 90% of production code is open source and an average Java project pulls… | ||
| Java Devs Go! the Wrong Way 7 Times | Rahul Sid Patil | 15m |
Seven concrete migration mistakes from Java to Go, with fixes and numbers: treating every error like an exception is wrong — return errors as values, reserve… | ||
| Distributed Consensus in 15 Minutes! | Jim Webber | 14m |
Clear, implementable claim: Raft ties append-only logs across servers so a leader proposes entries and a majority commit makes them immutable; a minority may… | ||
| Evolving Search Architecture for a Demanding Tesco Online Business | Anand Jayaram | 22m |
Search architecture migrates to Kafka on Kubernetes with a Strimzi-like operator (called streamy in the slides), spinning a three-broker cluster in about three… | ||
| Open Hybrid Cloud & AI Developer Experience | Ignacio Riesgo, Ramakrishna Reddy Yekulla | 18m |
Claims an enterprise-ready hybrid AI stack that runs on RHEL/OpenShift across multi‑cloud, citing IDC 93% multi‑infrastructure and Gartner 80% of apps will use… | ||
| Making Code Automations at Scale: Leveraging AI for Code Migrations | Arsh Goyal | 22m |
Claims automated codemods save 100s of engineering hours by generating migration scripts via LLMs that run from a CLI or a VS Code extension; the public demo… | ||
| AI and Developers: Revolutionizing Problem Solving | Bhuvanesh Jain | 24m |
Companies report 20–35% of developer time goes to operations and alert noise, with platforms seeing thousands to hundreds of thousands of alerts per day. The… | ||
| Navigating the OpenTofu Landscape From Basics to Mastery | Hemangi Subodh Karchalkar | 32m |
OpenTofu is a community-driven fork (first release Jan 2024 under the Linux Foundation) that stays compatible with Terraform 1.6x while promising community… | ||
| Enhancing Media Experiences in the Age of AI: A Practical Guide | Nick Bradley | 37m |
Cloudinary-style URL SDK code demonstrates short, repeatable pipelines that AI background removal and drop shadow apply to millions of product images, removing… | ||
| Custom GPTs for Fun, Profit, and Potential Liability | Kenneth Kousen | 01h 01m |
Shows how to build a working custom GPT two ways: the no-code GPT builder that uploads up to ten files (≈20MB each) and the programmatic Assistants API used… | ||
| Habits of a Highly Effective Technical Manager | Venkat Subramaniam | 01h 01m |
Lists 12 concrete manager practices and gives real examples: bring a coach to teach TDD (borrow Raju), reassign people to fit strengths (developer moved and… | ||
| Engineering Reality: Lessons from Life, Architecture, and Artifice | Michael Carducci | 01h 01m |
Stories link magic and engineering with concrete claims and artifacts: levitated a train ticket in 1997 to illustrate expectation bias and psychological… | ||
| Mastering the Balancing Act: Scaling Infrastructure for Growth and Stability | Asha Ashok | 31m |
For rapidly growing companies, the technical infrastructure faces a unique set of challenges and opportunities. Key inflection points, such as the transition… | ||
| Java Reimagined: AI, Cybersecurity, and the Modern Software Supply Chain | Steve Poole | 57m |
Java projects must now manage AI, security and regulation together: most large models and tooling run in Python so Java backends integrate via bindings or… | ||
| Replay Production Traffic Locally: Instantly Spot & Fix Breaking Changes | Shardul Lavekar | 42m |
Open-source tool replays production traffic locally by adding a single SDK annotation and an IDE plugin, capturing per-line timing and downstream calls, saving… | ||
| Making Kafka Queryable with Apache Pinot | Tim Berglund | 52m |
Explains how Apache Pinot turns Kafka topics into a low-latency, SQL-queryable analytics store by ingesting Kafka directly into consuming segments on server… | ||
| Upgrading a Legacy Java EE App with Style | Kito Mann | 55m |
A 12‑year production monolith of 550,000+ lines of Java and ~550 web pages moves from MKS to Git, from Java 6 to Java 8 and Java EE 5 to Java EE 7, keeping… | ||
| GenAI for Business on the Modern Data Stack | Ari Kaplan | 49m |
Argues that a Lakehouse plus GenAI becomes a data intelligence platform where Databricks layers Unity Catalog for governance, Delta/Parquet for scale and… | ||
| Build Gen AI applications with Google Databases and Cloud Runtimes | Abirami Sukumaran | 38m |
Prototype stores ~1,500 patent abstracts in AlloyDB, adds a 768‑dim vector column via AlloyDB with PGVector, calls Vertex AI embeddings… | ||
| Powering Generative AI with Kubernetes: A Cloud Native Approach | Janakiram MSV | 39m |
A working event-driven RAG platform on a single-node Kubernetes GPU cluster demonstrates live PDF updates transforming chatbot answers: a PDF uploaded to MinIO… | ||
| Top 7 Technology Trends that have Disrupted the IT Industry | Bharani Subramaniam | 32m |
Seven concrete trends: TigerBeetle is a domain-specific ledger DB that claims 8,000 debits per CPU by batching and controls storage to avoid fsync bugs… | ||
| Quarkus 3: Elevating Java Microservices with Project Loom and Beyond | Daniel Oh | 51m |
Quarkus 3 runs Java 21 virtual threads so imperative endpoints scale without rewriting to reactive code, enabled by a single annotation that switches routes… | ||
| Managing Your AI-Driven Manager | Kenneth Kousen | 15m |
Argues that the real risk is managers assuming AI can replace engineers and prescribes becoming the manager’s trusted evaluator: prototype on your time to… | ||
| AI's Impact on Development, Post-Production & Support Journeys | Paranth Thiruvengadam | 15m |
Survey of concrete AI features and limits for developers and ops: AI assistants like GitHub Copilot, Codium and Codi produce a readable summary of legacy files… | ||
| Real time Bidding at Scale: A Deep Dive into Sub 40ms Strategies | Deepanshi Dhamija | 23m |
Real-time bidding platforms require a delicate balance of speed and scale to succeed in today's digital advertising landscape. Achieving an impressive sub-40ms… | ||
| Maximizing Control: The Power of Owning Your Tech Stack | Charles Adaikkalam | 15m |
Company owns full stack: 55+ business apps, 16 data centers, a global Zoho Acceleration Network with purpose-built PoPs, and custom hardware + a heavily… | ||
| Extreme Engineering-Elements of Building a High -scale Broking Application | Jyotiswarup Pai Raiturkar | 17m |
A high-scale broking platform that handles 22 million clients and onboards a million users a month processes about 10 million orders daily and peaks at 3… | ||
| Architecting for Innovation: Building AI Powered Apps and Platforms | Debasis Bhattacharya | 20m |
Kubernetes has 314,000 commits, 74,000 contributors and over 7,800 contributing organizations and the platform claim is that existing container platforms can… | ||
| AI for Autism: Bridging Neuroscience and AI | Usha Rengaraju | 19m |
Claims a pipeline that achieves reliable early detection of autism from MRI scans using the Autism Brain Imaging Data Exchange and standard computer vision… | ||
| Unleash your Private Datasets to Power up AI | Mohamed Imran K R | 18m |
Argues that private data, not prompts alone, makes models useful, comparing two concrete paths: RAG pipelines with Qdrant or Milvus that ingest daily crawls… | ||
| Calling AI Tools from Java | Kenneth Kousen | 01h 00m |
Shows concrete Java code that calls OpenAI (ChatGPT, Whisper, DALL·E), Anthropic Claude vision, Mistral (same API as OpenAI) and local Olama models (llama3, 5… | ||
| Advancing Personalized Learning Analytics with AI and EdTech | Rhythm Bhatia | 19m |
Pipeline demonstrably turns LMS logs into actionable personalization: a logistic regression baseline, scaled neural nets for deeper patterns, and Q-learning… | ||
| Total ReDoS: the Dangers of Regex in JavaScript | Phil Nash | 38m |
Regular expressions can cause ReDoS where simple patterns explode into massive work: a whitespace-trimming pattern runs into 200 million steps when faced with… | ||
| Angular Dependency Injection, In Depth | Kito Mann | 57m |
Claim: Angular popularized browser dependency injection around 2010 and mirrors Spring/Java patterns while adding hierarchical injectors and component-scoped… | ||
| Designing an Extensible Billing Platform using Domain-driven Design | Deeksha Sood | 30m |
Atlassian replaces a 20+-year monolith by building a new billing platform from scratch (Commerce Cloud / CCP), using Domain-Driven Design to split billing into… | ||
| AI as a Service Scaling AI with Ease and Innovation | Sarath Gollapalli | 27m |
Shows concrete wins: a name‑matching task over millions of records moves from manual/Excel to an API, a recommendation system prototype fails when rebuilt… | ||
| Applied ML at Scale Strategies & Insights | Sreedevi T K | 28m |
Target describes an Applied ML framework that converts millions of model outputs into safe item data changes: over 20 production models handling a catalog with… | ||
| Agile Alchemy: Balancing Flexibility and Compliance in Software Development | Dan Mazella | 45m |
Practical recipe for staying agile under SOC and ISO rules: enforce document what you do and follow it with disciplined PRs, traceable work items and an audit… | ||
| Building an IT Service Management Knowledge Graph | Saurav Chakraborty | 24m |
Built a self-refreshing ITSM knowledge graph inside Freshservice that auto-classifies tickets at scale by combining clustering to surface unknown terms… | ||
| Optimizing Business Workflows for SaaS App: A Microservices & Serverless Approach | Aravind S | 24m |
Catalyst exposes Zoho’s infrastructure as a serverless platform so external teams can write microservices, use Node 18 runtime, and call prebuilt features like… | ||
| Mastering Cloud Cost Optimization with Kruize | Dinakar. Guniguntala | 27m |
Open-source Kruize connects to Prometheus (or OpenTelemetry) inside a Kubernetes/OpenShift cluster, pulls 1/7/15‑day metrics and returns container… | ||
| Accelerating Performance: Mastering RocksDB for High Speed Data Processing | Varunkumar Nagarajan | 29m |
Arcesium uses RocksDB via a JNI bridge to process millions of events with a claimed sub-millisecond latency. Implementation details: LSM-backed SST files… | ||
| Creating Asynchronous Applications with Virtual Threads | Venkat Subramaniam | 58m |
Recent Java releases add virtual threads and the claim is concrete: by swapping Executors.newFixedThreadPool to Executors.newVirtualThreadPerTaskExecutor code… | ||
| Decoding Java: From Source Code to Bytecode | Manoj N Palat | 57m |
Claims that Eclipse uses its own compiler, Eclipse Compiler for Java, not javac, and walks the actual pipeline from scanner and parser to AST and bytecode… | ||
| Cloud-Native Transformation with Jakarta EE, MicroProfile & JBoss EAP | Daniel Oh | 29m |
A demo of using Konveyor/Windup inside VS Code analyzes a WebLogic monolith, reports 10 story points for EAP7 then jumps to 106 story points when targeting… | ||
| GenAI Stack for Developers | Sumit Shatwara | 35m |
Claims a reproducible GenAI stack that runs Llama2 / GPT-3.5 / GPT-4 locally via Ollama, orchestrates chains and deployment with LangChain (including LangServe… | ||
| Leapfrogging from Good to a Great Architect | Umadevi Santhanam | 25m |
Becomes clear that architecture growth is about behaviors not new tools: focus on communicate the big picture to audiences from directors to freshers, build… | ||
| Less Code, Faster Apps- Rediscovering SQL for Modern ORM Developers | Connor McDonald | 26m |
A weekend app that logs every score, jump and lap shows how SQL replaces app-side work: one query with ROLLUP returns player×quarter totals plus quarter totals… | ||
| Exploring Zero Trust, Threat Intelligence, and Secure SDLC | Mayank Raj | 24m |
Covers concrete failures and fixes: Zero Trust would have limited lateral movement that let attackers bypass MFA and stay in a VPN for four days during the… | ||
| Distributed Transaction Management in Microservice Architecture | Prajwal Gurumurthy | 22m |
Tesco moves a monolith to microservices for a retail platform serving 2000+ stores and millions of orders and discovers distributed transactions break at… | ||
| Supercharging Kafka Applications with Real-time Contextual Insights | Raj Barua | 19m |
Demo shows Kafka topics mapped into Hazelcast via continuous SQL mapping and a Go CLI, running in Docker with a single-node demo cluster. SQL jobs generate or… | ||
| Twelve Essential Practices to be Effective in Continuous Delivery | Venkat Subramaniam | 01h 05m |
Claims twelve specific habits for reliable CI/CD and argues CI is a prerequisite and CD the goal, lists concrete steps: write automated unit/acceptance tests… | ||
| The Kubernetes Sessions Security | Daniel Hinojosa | 57m |
Kubernetes architecture centers on the API server as bouncer with etcd holding manifests and the scheduler/controller manager assigning nodes; TLS termination… | ||
| Digital Modernization Through Accessibility | Scott Davis | 55m |
Half of US users search by voice daily and three out of four Gen Z watch videos with captions, so accessibility is now mainstream; the talk demos concrete… | ||
| Accessibility in the Smart Home: Matter and Thread | Scott Davis | 01h 06m |
Matter is an open-source smart‑home protocol backed by Amazon Apple and Google that promises true interoperability — 97% of smart speakers live in those… | ||
| Evolutionary Architectures | Rebecca Parsons | 01h 00m |
Argues that an architecture’s target becomes a set of fitness functions that are monitored and enforced, not a fixed diagram, and shows practical techniques… | ||
| Vector Similarity Search in Spring | Brian Sam-Bodden | 01h 01m |
Shows how to build vector search with Spring plus the Redis Stack and DJL for embeddings, using a retina-face model to detect and index faces and a fashion… | ||
| Spring and AI without Spring AI | Kenneth Kousen | 01h 02m |
Builds runnable Spring clients that call OpenAI-style REST endpoints using HTTP Exchange Interfaces, Jackson and Java records, not a framework wrapper… | ||
| Navigating the Challenges of CI /CD for Relational Database Schema Changes | Michael Carducci | 59m |
Relational schema changes cause long locks, data loss and downtime when DDL runs in production; simple diffs or desired‑state tools (Liquibase, Flyway, EF… | ||
| Design Trade-offs in Modern Architectures | Venkat Subramaniam | 59m |
Argues that architecture is choosing tradeoffs not following mantras: you cannot get unlimited performance and scale cheaply, CAP means pick two, and most… | ||
| AI First Mindset: Learnings in Generative AI for Product and Engineering Teams | Sreedhar Gade | 16m |
Eight-year GenAI rollout at Freshworks moves from BERT experiments to production Freddy platform that spans eight products and 120 countries, with 70–80 use… | ||
| Retail Innovation: AR, Drones, and Interactive Rooms Design at IKEA | Aravindhan Raju | 14m |
Ingka Group describes concrete deployments: a drones with machine learning fleet that replaces manual inventory counts and flags damaged pallets, an AR… | ||
| Optimizing Bank Operations: Design Patterns, NFR, and GenAI Fusion | Ganesh Gowtham | 33m |
Blueprint shows a concrete system: payment pipeline normalizes to ISO 20022, uses Kafka for routing and tiering, and enforces a kill switch using… | ||
| Don't Make Users Wait: Secrets to Supercharge Server-Rendered Page | Bhaskar Gyan Vardhan | 26m |
Production stack uses SvelteKit and Tailwind, Cloudflare fronting ECS containers running Node.js, and measured with Lighthouse, WebPageTest and a Web Vitals… | ||
| Innovation in the World's Happiest Country Finland | Anil Talwani | 21m |
Finland has 5.5 million people with a 2.2 million workforce, a 37.5‑hour standard workweek and 2.8% of GDP spent on R&D, producing 6,525 researchers per… | ||
| Maximizing Unit Tests: Embracing Test-Driven Development | Dan Mazella | 31m |
Argues for writing the unit test first, using the AAA (arrange act assert) pattern, and treating every PR as needing 100% coverage for the new code so… | ||
| Building Portable ML Pipelines for Development and Production | Sunil Kumar Jang Bahadur | 26m |
Describes a concrete portable MLOps pattern: containerize training and prediction, compile a Kubeflow pipeline to a YAML, then run the identical YAML on Vertex… | ||
| AI Application Architecture: Building for Scale and Efficiency | Chinni Krishna Chikatimarla | 30m |
A platform called broad GPT with secure services implements a layer of abstraction over OpenAI, Llama 2 and Claude-style models so apps switch models without… | ||
| Smart Search with RAG: Elasticsearch Meets Language Models | Ashish Tiwari | 21m |
Shows how Elasticsearch becomes a RAG retriever: data chunks (demo uses chunk size 50) go into an index named gs_rag_demo, Elser generates tokens and… | ||
| Fortifying Digital Trust: Next-Gen Strategies in Fraud Prevention | Maruthi Prithivirajan | 28m |
Describes a production system that combines Neo4j graph database with LLMs using RAG + vector search to turn implicit signals into explicit graph patterns… | ||
| Zero Downtime Mastering Cassandra Live Migrations at Scale | Abinaya Sarathi | 24m |
Migrates over 1+ billion records from Cassandra to a DataStax serverless target while preserving zero downtime by using a proxy (open‑source zdm) for dual… | ||
| DoorDash Diaries: Mastering Microservices at Mega Scale | Amit Gud | 19m |
DoorDash runs thousands of microservices and a >1,000-node call graph that handles ~574 million orders a quarter (peak ~590 orders/sec → ~35k RPCs/sec, overall… | ||
| From Mosaic to Modern: The Evolution of Web App Architectures | Kito Mann | 01h 00m |
Traces the web from NCSA Mosaic (1993) to today, showing concrete shifts: early CGI spawns a new OS process per request and is slow, then XMLHttpRequest → Ajax… | ||
| Design Principles for Better FrontEnd Code | Venkat Subramaniam | 01h 01m |
Argues frontend JavaScript becomes maintainable by applying concrete rules: use === not ==, avoid var and prefer const/let with "use strict" or modules, and… | ||
| Enhancing Vector Databases with Real-time Stream Processing | Raj Barua | 29m |
Unified realtime data platform Hazelcast combines in‑memory storage and stream compute to augment a vector search demo that uses Quadrant vector DB and a… | ||
| Data-Centric in Action | Michael Carducci | 01h 01m |
Advocates flipping application-first systems to a data-first stack that uses URIs, RDF and JSON-LD to make records self-describing and instantly linkable… | ||
| Pattern Matching in Java | Venkat Subramaniam | 01h 01m |
Shows how Java replaces long conditional chains — recalled 169 if-else — with actual value-returning switch expression syntax using arrows and yield, and… | ||
| Mockito Features and Best Practices | Kenneth Kousen | 58m |
Shows concrete how-to and limits: uses an Astro gateway/service example that calls api.open‑notify.org/astros.json, parses records and groups astronauts by… | ||
| Scale up with GraalVM and AWS Lambdas | Kito Mann | 53m |
Claim: GraalVM native image cuts Lambda cold-starts and memory use. Measured setup times show the regular JVM ~20–29 ms, AWS SnapStart ~19 ms and GraalVM… | ||
| WASM Wonders Decoding WebAssembly's Inner Workings | Sohan Maheshwar | 53m |
WASM is a binary instruction format for a stack VM that claims near‑native speed and cross‑architecture portability; runtimes like Wasmtime and wasm3 decode… | ||
| Build a ChatGPT RAG Data Pipeline | Mary Grygleski, Rayees Pasha | 50m |
A working RAG pipeline is built that ingests a simulated X Twitter feed via Kafka into RisingWave, computes a RisingWave materialized view to extract the top 3… | ||
| Using AI to Deploy Java apps to Kubernetes | Brian Benz | 51m |
AI generates Kubernetes YAML and CI steps from a Docker Hub image and produces runnable shell commands, using GitHub Copilot and Azure tooling to deploy a… | ||
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