Will Wilson, Engineer and co-founder of Antithesis, dives deep into the world of deterministic simulation testing for distributed systems. He breaks down the limitations of traditional methods, showcasing how his company's approach improves software reliability. Key discussions include optimizing bug detection strategies, the significance of simulated workloads, and the challenges posed by third-party APIs. Real-world examples like chat applications illustrate how effective testing can reveal hidden issues, making this an essential listen for tech enthusiasts and developers.

Glauber Costa, founder and CEO of TursoDB, brings his background in Linux kernel development to the forefront as he discusses enhancing SQLite for production use. He shares insights on native replication, schema management, and vector search capabilities. Glauber navigates the challenges of transitioning from unikernel systems and highlights the importance of multi-tenancy. Listeners will also learn about TursoDB's user-friendly design and its future roadmap, including features aimed at improving database simplicity and efficiency.

Deep Dive into Serverless Databases with Neon: Featuring Heikki Linnakangas In this episode of the Geek Narrator podcast, host Kaivalya Apte is joined by Heikki Linnakangas, co-founder of Neon, to explore the innovative world of serverless databases. They discuss Neon's unique approach to separating compute and storage, the benefits of serverless architecture for modern applications, and dive into various compelling use cases. They also cover Neon's architectural features like branching, auto-scaling, and auto-suspend, making it a powerful tool for both developers and enterprises. Whether you're curious about multi-tenancy, fault tolerance, or developer productivity, this episode offers insightful knowledge about leveraging Neon's capabilities for your next project. 00:00 Introduction 00:53 The Birth of Neon: Why It Was Created 02:16 Understanding Serverless Databases 07:06 Neon's Architecture: Separation of Compute and Storage 09:59 Exploring Branching in Neon 18:21 Auto Scaling and Handling Spikes in Traffic 20:17 The Challenge of Multiple Writers in Distributed Systems 22:51 Auto Suspend: Cost-Effective Database Management 26:02 Optimizing Cold Start Times 27:14 Balancing Cost and Performance 28:52 Replication and Durability 30:32 Understanding the Storage Layer 34:02 Custom LSM Tree Implementation 36:21 Fault Tolerance and Failover 07:00 Developer Productivity and Use Cases 42:56 Migration and Tooling 48:35 Future Roadmap and User Experience 50:28 Conclusion and Final Thoughts Neon website: https://neon.tech/ Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! #PostgreSQL #SQL #RDBMS #NEON

Felix GV, Principal Staff Engineer at Linkedin, discusses the evolution from Voldemort to VeniceDB, challenges with derived data, planet-scale applications, writing and merging data, architectural components, fault tolerance, recommender systems, versioning, integration with Kafka, and future improvements.

In this video I speak with Philippe Noël, about ParadeDB, which is an Elasticsearch alternative built on Postgres, modernizing the features of Elasticsearch's product suite, starting with real-time search and analytics. I hope you will enjoy and learn about the product. Chapters: 00:00 Introduction 01:12 Challenges with Elasticsearch and the Need for ParadeDB 02:29 Why Postgres? 06:30 Technical Details of ParadeDB's Search Functionality 18:25 Analytics Capabilities of ParadeDB 24:00 Understanding ParadeDB Queries and Transactions 24:22 Application Logic and Data Workflows 25:14 Using PG Cron for Data Migration 30:05 Scaling Reads and Writes in Postgres 31:53 High Availability and Distributed Systems 34:31 Isolation of Workloads 39:38 Database Upgrades and Migrations 41:21 Using ParadeDB Extensions and Distributions 43:02 Observability and Monitoring 44:42 Upcoming Features and Roadmap 46:34 Final Thoughts Important links: Links: GitHub: https://github.com/paradedb/paradedb Website: https://paradedb.com Docs: https://docs.paradedb.com/ Blog: https://blog.paradedb.com Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! #postgresql #datafusion #parquet #sql #OLAP #apachearrow #database #systemdesign #elasticsearch

Andrew Lamb, Staff Software Engineer at InfluxDB and chair of the Apache Data Fusion project, shares his expertise on modern OLAP database design. He explains the power of the FDAP stack, highlighting how Apache Parquet and Arrow enhance data storage and retrieval efficiency. The conversation delves into the challenges of data immutability and management, while also discussing Flight's role in simplifying data transfer. Looking ahead, Andrew envisions evolving trends in database technologies, paving the way for innovative solutions in analytics.

In this video I and Pratim Bhosale, Developer Advocate at SurrealDB, talk about SurrealDB, a multi-model database which aims to make Developer’s life easier by letting them focus mainly on the business logic and not on the Database choice. Following chapters will help you understand what is a multi-model database and how SurrealDB shines. Chapters: 00:00 Introduction 01:48 The Genesis of SurrealDB 03:59 SurrealDB's Mission and Use Cases 07:34 Understanding Multi-Model Databases 10:30 Deep Dive into SurrealDB's Architecture 33:09 Deployment and Getting Started with SurrealDB 34:31 Future Developments and Use Case Considerations 43:51 Final Thoughts and How to Get Started Important links: Install SurrealDB https://sdb.li/4bqwn38 SurrealDB Docs: https://sdb.li/3wxjoxx SurrealDB Website: https://sdb.li/3JMK7JI Surrealist: https://sdb.li/4b7wcdh SurrealDB GitHub: https://sdb.li/3JRPNlE Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! #surrealdb #elasticsearch #search #vectorsearch #acid #databases #sql #joins #indexes #graphdatabase

In this video, I talk to Dhruba, CTO @Rockset about search and realtime analytics. We discussed deep internals of Rockset, its architecture and why is it a great fit for search and realtime analytics use cases. Chapters: 00:00 Introduction 02:45 The Evolution of Data Systems: From Hadoop to Rockset 07:30 Understanding Rockset: Real-Time Analytics and Search Defined 12:01 The Technical Edge: Rockset vs. Elasticsearch 18:16 Deep Dive into Rockset's Architecture and Internals 28:21 Partitioning, Hashing, and Data Distribution in Rockset 36:56 Exploring Hot Storage and Cache Layers 37:40 Why Hot Storage is Essential for Low Latency 39:05 Optimizing Data Storage with Compression and Delta Encoding 39:49 Balancing Cost and Performance in Data Storage 41:50 The Power of Converged Indexing in Rockset 45:50 Efficient Query Execution and Index Management 54:51 Leveraging Mutability for Real-Time Analytics 59:24 Deep Dive into Query Processing and Optimization 01:04:21 Understanding Joins and Reporting Queries in Rockset 01:12:23 Future Directions and Vector Search Innovations Index Conference: https://rockset.com/index-conf/ Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! #rockset #elasticsearch #search #vectorsearch #realtime #databases #sql #joins #indexes

In this episode we explore how to Rapidly Simulate Production Traffic with Michael Drogalis, using his creation ShadowTraffic. I am sure you will be able to relate to all the different problems mentioned in this episode and like how ShadowTraffic aims to solve those problems. I hope you like this conversation. Chapters: 00:00 Welcome to The Geek Narrator Podcast: Exploring Deep Tech 00:18 The Challenge of Simulating Production Traffic 00:59 Introducing Shadow Traffic: A Solution to Data Simulation 02:34 Understanding the Problem Space of Data Simulation 06:03 How Shadow Traffic Works: A Deep Dive 08:17 The Power of Declarative Data Generation with Shadow Traffic 10:40 Shadow Traffic's Architecture and Deployment 13:02 Configuring Load Testing and Throttling with Shadow Traffic 15:47 Testing and Validation in Shadow Traffic 20:42 Mimicking Production Data Distribution with Shadow Traffic 26:48 Innovative Features for Stream Processing Testing 28:47 Shadow Traffic: Adding Faults to Data for Robust Testing 29:04 Antithesis and Shadow Traffic: A Synergistic Approach 32:46 The Challenge of Generating Realistic Test Data 40:04 Enhancing Observability in Data Generation 41:50 Customer-Driven Roadmap and Future Vision 45:27 Closing Thoughts ShadowTraffic: https://shadowtraffic.io/ Contact Michael: https://shadowtraffic.io/contact.html Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! #kafka #s3 #postgres #testing #streamprocessing #loadtesting #chaostesting #demo

If you're involved in the Java space, chances are you've come across #GraalVM. And for those active in the tech community, you might have heard about the recent 1BRC challenge initiated by Gunnar Morling. GraalVM truly showcased its capabilities in this challenge, sparking my curiosity. That's why I reached out to Alina to delve deeper into GraalVM, exploring its features and uncovering how it excels in such endeavors. And here we are talking about GraalVM Chapters: 00:00 Introduction 01:47 GraalVM's Impact on the 1BRC Challenge and Its Features 04:34 Exploring GraalVM's Core Features and Benefits 08:34 Real-World Success Stories: GraalVM in Action 16:18 Understanding Native Image Compilation with GraalVM 20:34 Framework Compatibility and GraalVM Integration 25:04 Testing and Integration with GraalVM 25:26 Exploring Testing and Development with GraalVM 25:58 Best Practices for Developing with GraalVM 28:11 Migrating to GraalVM: Strategies and Considerations 31:25 Performance Optimization in GraalVM 35:15 Building and Resource Considerations for GraalVM 38:45 Expanding Horizons: Polyglot Programming with GraalVM 43:15 Future Directions and Limitations of GraalVM 47:40 Engaging the Java Community: GraalVM's Impact 50:21 Getting Started with GraalVM: Resources and Recommendations References and Links: - The GraalVM website with docs, downloads, guides: https://www.graalvm.org/ - Nicolai Parlog's "Modern Java in Action" demo: https://github.com/nipafx/modern-java-demo - My native version of Nicolai's demo: https://github.com/alina-yur/native-modern-java-demo - For news, follow GraalVM: https://twitter.com/graalvm Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! #Java #jvm #graalvm #highperformance #JITcompiler #AOT #nativeimage #security #rust #c++