Read more about Kafka Diskless-topics, KIP by Aiven:KIP-1150: https://fnf.dev/3EuL7mvSummary:In this conversation, Kaivalya Apte and Alexis Schlomer discuss the internals of query optimization with the new project optd. They explore the challenges faced by existing query optimizers, the importance of cost models, and the advantages of using Rust for performance and safety. The discussion also covers the innovative streaming model of query execution, feedback mechanisms for refining optimizations, and the future developments planned for optd, including support for various databases and enhanced cost models.Chapters00:00 Introduction to optd and Its Purpose03:57 Understanding Query Optimization and Its Importance10:26 Defining Query Optimization and Its Challenges17:32 Exploring the Limitations of Existing Optimizers21:39 The Role of Calcite in Query Optimization26:54 The Need for a Domain-Specific Language40:10 Advantages of Using Rust for optd44:37 High-Level Overview of optd's Functionality48:36 Optimizing Query Execution with Coroutines50:03 Streaming Model for Query Optimization51:36 Client Interaction and Feedback Mechanism54:18 Adaptive Decision Making in Query Execution54:56 Persistent Memoization for Enhanced Performance57:12 Guided Scheduling in Query Optimization59:55 Balancing Execution Time and Optimization01:01:43 Understanding Cost Models in Query Optimization01:04:22 Exploring Storage Solutions for Query Optimization01:07:13 Enhancing Observability and Caching Mechanisms01:07:44 Future Optimizations and System Improvements01:18:02 Challenges in Query Optimization Development01:20:33 Upcoming Features and Roadmap for optdReferences:- NeuroCard: learned Cardinality Estimation: https://vldb.org/pvldb/vol14/p61-yang.pdf- RL-based QO: https://arxiv.org/pdf/1808.03196- Microsoft book about QO: https://www.microsoft.com/en-us/research/publication/extensible-query-optimizers-in-practice/- Cascades paper: https://15721.courses.cs.cmu.edu/spring2016/papers/graefe-ieee1995.pdf- optd source code: https://github.com/cmu-db/optd- optd website (for now): https://db.cs.cmu.edu/projects/optd/For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinDon't forget to like, share, and subscribe for more insights!=============================================================================Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator=============================================================================Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!#database #queryoptimization #sql #postgres

For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinSummaryIn this conversation, Nitish Tiwari discusses Parseable, an observability platform designed to address the challenges of managing and analyzing large volumes of data. The discussion covers the evolution of observability systems, the design principles behind Parseable, and the importance of efficient data ingestion and storage in S3. Nitish explains how Parseable allows for flexible deployment, handles data organization, and supports querying through SQL. The conversation also touches on the correlation of logs and traces, failure modes, scaling strategies, and the optional nature of indexing for performance optimization.References:Parseable: https://www.parseable.com/GitHub Repository: https://github.com/parseablehq/parseableArchitecture: https://parseable.com/docs/architecture Chapters:00:00 Introduction to Parseable and Observability Challenges05:17 Key Features of Parseable12:03 Deployment and Configuration of Parseable18:59 Ingestion Process and Data Handling32:52 S3 Integration and Data Organisation35:26 Organising Data in Parseable38:50 Metadata Management and Retention39:52 Querying Data: User Experience and SQL44:28 Caching and Performance Optimisation46:55 User-Friendly Querying: SQL vs. UI48:53 Correlating Logs and Traces50:27 Handling Failures in Ingestion53:31 Managing Spiky Workloads54:58 Data Partitioning and Organisation58:06 Creating Indexes for Faster Reads01:00:08 Parseable's Architecture and Optimisation01:03:09 AI for Enhanced Observability01:05:41 Getting Involved with ParseableFor memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinDon't forget to like, share, and subscribe for more insights!=============================================================================Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator=============================================================================Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!#database #s3 #objectstorage #opentelemetry #logs #metrics

For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinSummary:In this conversation, Kaivalya Apte and Rajesh Pandey talk about the engineering behind AWS Lambda, exploring its architecture, use cases, and best practices. They discuss the challenges of event handling, concurrency, and load balancing, as well as the importance of observability and testing in serverless environments. The conversation highlights the innovative solutions AWS Lambda provides for developers, emphasizing the balance between simplicity and complexity in cloud computing.Chapters:00:00 Introduction to AWS Lambda04:36 Use Cases and Best Practices for AWS Lambda09:34 Event Handling and Queue Management19:41 Idempotency and Event Duplication Challenges29:39 Cold Starts and Performance Optimization34:37 Statelessness and Resource Management in Lambda42:18 Understanding Micro-VMs and Cold Starts45:14 Resource Management and Recommendations for Developers47:04 Scaling and Back Pressure in Serverless Systems51:33 Cellular Architecture and Fairness in Resource Allocation55:23 Handling Problematic Events and Poison Pills01:01:03 Testing and Operational Readiness in Lambda01:14:11 Preparing for High Traffic EventsReferences:Handling Billions of invocations: https://aws.amazon.com/blogs/compute/handling-billions-of-invocations-best-practices-from-aws-lambda/Firecracker: https://firecracker-microvm.github.io/AWS Lambda: https://aws.amazon.com/lambda/Connect with Rajesh: https://x.com/RPandeyViewshttps://www.linkedin.com/in/rajeshpandeyiiit/Don't forget to like, share, and subscribe for more insights!=============================================================================Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator=============================================================================Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!#aws #awslambda #serverless #distributedsystems #scalability #reliability

For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinSummary:In this episode of The Geek Narrator podcast, host Kaivalya Apte interviews Kyle Kingsbury, a renowned expert in database and distributed systems safety analysis. They discuss the world of testing distributed systems, the challenges faced, common bugs and patterns. Kyle shares insights on the importance of understanding system documentation, the role of formal verification, and the balance between performance and safety in testing. He also provides valuable advice for aspiring engineers in the field of distributed systems.Chapters:00:00 Introduction to Kyle Kingsbury and His Work06:59 Common Bugs in Distributed Systems12:37 Functional Bugs vs Safety Bugs17:54 Changes in Testing Over the Years26:03 False Positives and Negatives in Testing32:33 The Importance of Experimentation in Testing39:28 Tools and Technologies for Testing48:58 The Role of Formal Verification57:04 Reusability of TestsImportant links:Distributed systems class: https://github.com/aphyr/distsys-classWrite your own distributed system: https://github.com/jepsen-io/maelstromJepsen Analyses: https://jepsen.io/analysesKey takeaways:- Reading documentation is a crucial first step in testing systems.- Testing distributed systems involves understanding their semantics and guarantees.- Common bugs often arise from mismanagement of definite versus indefinite failures.- Testing strategies for cloud-based systems require cooperation with providers.- Performance testing can reveal unexpected behaviours in systems under stress.- Formal verification remains a challenging but valuable tool in ensuring system safety.- The testing process is iterative and requires collaboration with engineering teams.- Aspiring engineers should immerse themselves in practical experiences to build intuition.For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinDon't forget to like, share, and subscribe for more insights!=============================================================================Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator=============================================================================Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!#databasearchitecture #distributedsystems #cloudcomputing #testing #jepsen

For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinSummary:In this conversation, Kaivalya Apte and Simon Eskildsen talk about vector databases, particularly focusing on TurboPuffer. They discuss the importance of vector search, embeddings, and the challenges associated with building efficient search engines. The conversation covers various aspects such as cost considerations, chunking strategies, multi-tenancy, and performance optimization. Simon shares insights on the future of vector search and the significance of observability and metrics in database performance. The discussion emphasizes the need for practical application and experimentation in understanding these technologies.Chapters:00:00 Introduction to Vector Databases10:34 Understanding Vectors and Embeddings15:03 Example: Designing a Search Engine for Podcasts27:53 Scaling Challenges in Vector Search36:46 Indexing and Querying in TurboPuffer38:12 Understanding Indexing and Query Planning45:45 Exploring Index Types and Their Performance50:27 Data Ingestion and Embedding Retrieval54:19 Use Cases and Challenges in Vector Search01:01:22 Metrics and Observability in Vector Databases01:03:52 Future Trends in Vector Search and DatabasesReferences:How do build a database on Object Storage? https://youtu.be/RFmajOeUKnETurbopuffer https://turbopuffer.com/Continous Recall measurement: https://turbopuffer.com/blog/continuous-recallTurbopuffer architecture: https://turbopuffer.com/architecture

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinMembership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA------------------------------------------------------------------------------------------------------------------------------------------------------------------About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------In this conversation, Jacopo and Ciro discuss their journey in building Bauplan, a platform designed to simplify data management and enhance developer experience. They explore the challenges faced in data bottlenecks, the integration of development and production environments, and the unique approach of Bauplan using serverless functions and Git-like versioning for data. The discussion also touches on scalability, handling large data workloads, and the critical aspects of reproducibility and compliance in data management. Chapters:00:00 Introduction03:00 The Data Bottleneck: Challenges in Data Management06:14 Bridging Development and Production: The Need for Integration09:06 Serverless Functions and Git for Data17:03 Developer Experience: Reducing Complexity in Data Management19:45 The Role of Functions in Data Pipelines: A New Paradigm23:40 Building Robust Data Solutions: Versioning and Parameters30:13 Optimizing Data Processing: Bauplan Runtime46:46 Understanding Control Planes and Data Management48:51 Ensuring Robustness in Data Pipelines52:38 Data Quality and Testing Mechanisms54:43 Branching and Collaboration in Data Development57:09 Scalability and Resource Management in Data Functions01:01:13 Handling Large Data Workloads and Use Cases01:09:05 Reproducibility and Compliance in Data Management01:16:46 Future Directions in Data Engineering and Use CasesLinks and References:Bauplan website:https://www.bauplanlabs.com

In this episode of The Geek Narrator podcast, Lalit Suresh, CEO of Feldera, joins us to share insights on incremental view maintenance and its significance in modern data processing.We have discussed the challenges posed by distributed systems, the mathematical foundation of DBSP, and how Feldera's architecture addresses these challenges. Performance optimization, handling late events, and the future of stream processing, the importance of SQL in creating efficient data workflows - its all in here.Chapters00:00 Introduction to Incremental View Maintenance06:30 Challenges in Distributed Systems11:46 Batch Processing vs Stream Processing16:27 Understanding DBSP: The Mathematical Foundation27:46 Architecture of Feldera and Data Flow39:23 Partitioning and Storage Layer in Feldera42:51 Understanding Co-Design Storage Layers45:52 Foreground and Background Workers in DBSP49:16 Tuning Background Workers for Performance49:41 Synchronous Compute Model and View Propagation51:35 Zsets and Batch Processing in Stream Workloads54:00 Data Model Optimization in Feldera57:22 Handling Late Events and Lateness in Feldera01:01:18 Watermarks and Lateness Annotations01:04:20 Error Handling and Idempotency in Feldera01:11:05 Feldera's Differentiators and Future Roadmap

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinMembership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA------------------------------------------------------------------------------------------------------------------------------------------------------------------About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------In this conversation, Alex from Red Panda discusses his engineering background, the challenges faced in reliability engineering, and the journey of building a better streaming system. He emphasizes the importance of understanding latency and performance in engineering systems, the market position of Red Panda in relation to Kafka, and the complexities involved in optimizing codebases for better performance. In this conversation, Alex discusses Red Panda's architecture, focusing on its thread architecture, memory allocation mechanics, and the importance of protocol correctness. He highlights how Red Panda stands out in the data systems landscape by eliminating unnecessary complexities and optimizing performance across various latency spectrums. The discussion also touches on the future of data processing, emphasizing the shift towards agentic workloads and the integration of analytical and operational layers.Chapters00:00 Introduction11:07 Building a Better Streaming System19:10 Market Position and Competition25:06 Optimizing Latency and Performance32:38 Understanding Complexity in Codebases33:36 Thread Architecture and Concurrency Models39:39 Memory Allocation Mechanics47:31 Protocol Correctness and Optimization Strategies56:27 Red Panda's Unique Position in Data Systems01:02:05 The Future of Data Processing and Agentic WorkloadsBlogs:TPC buffers: https://www.redpanda.com/blog/tpc-buffershttps://www.redpanda.com/blog/always-on-production-memory-profiling-seastarhttps://www.redpanda.com/blog/end-to-end-data-pipelines-types-benefits-and-process------------------------------------------------------------------------------------------------------------------------------------------------------------------Like building real stuff?------------------------------------------------------------------------------------------------------------------------------------------------------------------Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator------------------------------------------------------------------------------------------------------------------------------------------------------------------Link to other playlists. LIKE, SHARE and SUBSCRIBE------------------------------------------------------------------------------------------------------------------------------------------------------------------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_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!#streaming #kafka #redpanda #c++ #databasesystems #SQL #distributedsystems #memoryallocation #garbagecollection

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinMembership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA------------------------------------------------------------------------------------------------------------------------------------------------------------------About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------In this episode, we talk to Søren Schmidt, Co-Founder and CEO of Prisma, discussing the evolution of Prisma from a backend as a service to a popular ORM and now to Prisma Postgres. He shares insights into the challenges faced during this journey, the importance of user feedback, and the innovative architecture of Prisma Postgres, which leverages micro VMs for performance optimization. The conversation also touches on the complexities of managing data centers and the strategies employed to ensure a seamless user experience. In this conversation, Søren Schmidt discusses the details about Postgres snapshots, their impact on performance, and the mechanisms for fault tolerance. He explains how Pulse change data capture works and how Prisma Postgres simplifies database management for users. Chapters00:00 Introduction to Prisma and Its Evolution03:00 The Journey from ORM to Prisma Postgres06:00 Simplifying Database Management09:01 Understanding Prisma Postgres Architecture12:12 The Role of Accelerate in Query Routing14:51 Optimizing Query Processing with Micro VMs18:12 Maintaining Postgres Integrity in a Micro VM Environment21:07 User Experience and Community Feedback23:57 Challenges of Data Center Management27:09 Cold Starts and Performance Optimization34:30 Understanding Snapshots in Postgres38:55 Snapshot Mechanisms and Fault Tolerance44:09 Change Data Capture with Pulse55:07 Transitioning to Prisma Postgres58:45 Community and Getting Started with Prisma PostgresSome blogs worth checking out:https://www.prisma.io/blog/prisma-postgres-the-future-of-serverless-databaseshttps://www.prisma.io/blog/cloudflare-unikernels-and-bare-metal-life-of-a-prisma-postgres-queryhttps://www.prisma.io/blog/announcing-prisma-postgres-early-accessPrisma Postgres relies heavily on the Unikraft project. There is a good introductory talk here: https://www.youtube.com/watch?v=n4wOyAuNhl0And some very technical papers here: https://unikraft.org/community/papersThe best way to get started with Prisma Postgres is to go straight to https://www.prisma.io/ ------------------------------------------------------------------------------------------------------------------------------------------------------------------Like building real stuff?------------------------------------------------------------------------------------------------------------------------------------------------------------------Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator------------Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinMembership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA------------------------------------------------------------------------------------------------------------------------------------------------------------------About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------In this episode, Kaivalya Apte and Frederic Branczyk talk about observability, focusing on continuous profiling and the role of eBPF. They discuss the evolution of profiling techniques, the importance of systematic data collection, and the challenges faced in maintaining low overhead while gathering detailed performance metrics.Frederic shares insights from his extensive experience with Prometheus and Kubernetes, emphasizing the transformative impact of continuous profiling on software performance optimization. This conversation delves into the intricacies of eBPF (Extended Berkeley Packet Filter) and its applications in profiling and performance analysis. The discussion covers the capabilities of eBPF in extending the kernel safely, the mechanisms of user space profiling, and the handling of process terminations. It also explores memory and network profiling techniques, the challenges of profiling in different programming environments, and the limitations of eBPF in certain use cases. The conversation concludes with valuable resources for those interested in learning more about eBPF and profiling techniques.Chapters:00:00 Introduction to Observability and Profiling01:17 Frederic's Background and Expertise02:11 The Importance of Continuous Profiling06:46 The Value of Continuous Profiling11:20 Understanding Profiling Data19:09 Data Structures and Performance in Profiling32:35 The Role of eBPF in Profiling42:48 Introduction to eBPF and Its Capabilities48:32 User Space Profiling and Memory Management51:39 Handling Process Termination and Agent Recovery55:27 Memory and Network Profiling Techniques01:01:33 Profiling in Different Programming Environments01:11:47 Use Cases and Limitations of eBPF in Profiling01:13:54 Resources for Learning eBPF and Profiling Techniques------------------------------------------------------------------------------------------------------------------------------------------------------------------Like building real stuff?------------------------------------------------------------------------------------------------------------------------------------------------------------------Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator------------------------------------------------------------------------------------------------------------------------------------------------------------------Link to other playlists. LIKE, SHARE and SUBSCRIBE------------------------------------------------------------------------------------------------------------------------------------------------------------------Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinMembership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA------------------------------------------------------------------------------------------------------------------------------------------------------------------About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------In this conversation, Unmesh Joshi discusses the patterns of distributed systems. He emphasizes the importance of understanding the context in which patterns are applied, the need to read code to grasp their implementation, and the common pitfalls that developers face when applying patterns without a clear understanding of the underlying problems. Chapters00:00 Introduction to Distributed Systems and Patterns05:39 Understanding Patterns in Distributed Systems19:23 Bridging Theory and Practice in Distributed Systems28:56 The Role of Developers in Understanding Patterns31:58 Understanding Patterns in Software Development40:58 The Human Aspect of Software Design44:37 Iterative Development and Real-World Applications49:03 The Future of Patterns in Cloud-Native Systems55:07 Common Misunderstandings of Distributed PatternsInteresting quotes:"Patterns capture wisdom of generations.""Reading code is the best way to understand.""Patterns help you see beyond abstractions.""Understanding patterns helps bridge the gap.""Expert generalists can operate across verticals.""There are no simple systems in the cloud era.""Patterns can add complexity if misunderstood.""Patterns are always useful within a context.""Design and development are human activities.""The deconstruction of databases is happening.""Paxos is the most misunderstood pattern."Unmesh Joshi :https://in.linkedin.com/in/unmesh-joshi-9487635Catalog of Patterns: https://martinfowler.com/articles/patterns-of-distributed-systems/I hope you liked the episode, if you did please like, share and subscribe. ------------------------------------------------------------------------------------------------------------------------------------------------------------------Like building real stuff?------------------------------------------------------------------------------------------------------------------------------------------------------------------Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator------------------------------------------------------------------------------------------------------------------------------------------------------------------Link to other playlists. LIKE, SHARE and SUBSCRIBE------------------------------------------------------------------------------------------------------------------------------------------------------------------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_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!#distributedsystems #patterns #softwarearchitecture #consensus #algorithms #coding #patterns #softwaredevelopment #ThoughtWorks #softwareengineering #cloud #computing #software

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/join Membership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA ------------------------------------------------------------------------------------------------------------------------------------------------------------------ About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------ In this episode of the Geek Narrator podcast, host Kaivalya Apte interviews Marc Brooker, a distinguished engineer at AWS, about Aurora D-SQL. They discuss Marc's journey at AWS, the evolution of Aurora D-SQL, and the customer-centric approach that led to its development. Marc explains the choice of PostgreSQL as the foundation for DSQL, the architecture of the database, and the importance of snapshot isolation and concurrency control. The conversation goes into the technical aspects of DSQL, including the write process and how atomicity is maintained, providing listeners with a comprehensive understanding of this innovative database solution. This conversation also goes deep into the intricacies of database design, focusing on fault tolerance, replication strategies, and the role of Firecracker VMs in enhancing scalability. Marc Brooker discusses the architecture of Aurora D-SQL, emphasizing the importance of transaction management, the challenges of active-active deployments, and the trade-offs involved in database design. The discussion also highlights various use cases for Aurora DSQL, including its suitability for micro-services and serverless architectures, while addressing scenarios where it may not be the best fit. Chapters 00:00 Introduction to Aurora DSQL and Marc Brooker's Journey 03:38 The Evolution of Aurora DSQL at AWS 09:24 Customer-Centric Development and Technological Enablers 12:50 Why PostgreSQL? The Choice Behind DSQL 16:39 High-Level Architecture of DSQL 22:07 Understanding Snapshot Isolation and Concurrency Control 28:45 The Write Process and Atomicity in DSQL 38:50 Designing Fault Tolerance in Databases 47:38 Replication and Transaction Commit Strategies 54:35 Active-Active Deployment and Fault Tolerance 01:00:14 Role of Firecracker VM in Scalability 01:09:27 Use Cases and Trade-offs of Aurora D-SQL Marc's Blog: https://brooker.co.za/blog/ Marc on Aurora DSQL : https://brooker.co.za/blog/2024/12/03/aurora-dsql.html AWS's documentation on Aurora DSQL : https://aws.amazon.com/rds/aurora/dsql/features/ ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Like building real stuff? ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Link to other playlists. LIKE, SHARE and SUBSCRIBE ------------------------------------------------------------------------------------------------------------------------------------------------------------------ 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! #sql #postgres #databasesystems #aws #awsdevelopers #spanner #google #cockroachdb #yugabytedb #cap #scalability #WAL #DistributedSystems #Cloud #aurora

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/join Membership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA ------------------------------------------------------------------------------------------------------------------------------------------------------------------ About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Hey folks - In this episode we have Jelte with us, who is the main contributor to the pg_duckdb project, which is a postgres extension to add the #duckdb power to our beloved #postgresql. We will try to understand how it works? Why is it needed and what's the future of pg_duckdb? If you love #Postgres or #Duckdb or just understanding #database internals then this episode will give you pretty solid insights into Postgres query processing, Duckdb analytics, Postgres extension ecosystem and so on. Basics: pg_duckdb is a Postgres extension that embeds DuckDB's columnar-vectorized analytics engine and features into Postgres. We recommend using pg_duckdb to build high performance analytics and data-intensive applications. Chapters: 00:00 Introduction to PG-DuckDB 03:40 Understanding the Integration of DuckDB with Postgres 06:23 Architecture of PG-DuckDB: Query Processing Explained 10:02 Configuring DuckDB for Analytics Queries 15:37 Managing Workloads: Transactional vs. Analytical 21:02 Observability and Debugging in DuckDB 25:58 Data Deletion and GDPR Compliance 30:46 Schema Management and Migration Challenges 33:14 Managing Schema Changes in Databases 35:21 Upgrading Database Extensions 36:33 Enhancing Data Reading Methods 38:33 Future Features and Improvements 45:54 Use Cases for PGDuckDB 50:03 Challenges in Building the Extension 55:25 Getting Involved with PGDuckDB Important links: The duckdb discord server, which has a pg_duckdb channel inside it: https://discord.duckdb.org/ repo: https://github.com/duckdb/pg_duckdb good-first-issue issues: https://github.com/duckdb/pg_duckdb/issues?q=sort%3Aupdated-desc+is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22 ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Like building real stuff? ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Link to other playlists. LIKE, SHARE and SUBSCRIBE ------------------------------------------------------------------------------------------------------------------------------------------------------------------ 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! #sql #postgres #databasesystems

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/join Membership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA ------------------------------------------------------------------------------------------------------------------------------------------------------------------ About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------ In this episode we are talking to Peter and Qian, co-founders of DBOS. The conversation covers the challenges of creating fault-tolerant applications, the architecture of DBOS, and how it addresses reliability at multiple layers. Chapters: 00:00 Introduction to the Geeknerder Podcast 00:29 Meet the Co-Founders of DBOSS 01:25 The Core Problem: Building Reliable Systems 02:05 How DBOSS Solves Reliability Issues 04:29 Understanding DBOSS Architecture 06:09 Deep Dive into DBOSS Library 08:36 Postgres and State Management 18:31 Handling Parallel Steps and Performance Concerns 26:00 Observability and Version Control 30:18 Running Multiple Code Versions 30:58 Managing Workflow Versions 32:03 Surgery on Workflow States 33:15 Library Annotations and Durable Execution 34:24 Migrating to the Cloud Version 37:23 Handling Email Workflows 42:41 Transactional Guarantees with Postgres 48:44 Technical Challenges and Multi-Tenancy 54:12 Real-World Use Cases and Benefits 59:45 Conclusion and Final Thoughts Some important links: - Main website: https://www.dbos.dev/ - DBOS docs: https://docs.dbos.dev/ - Open-source DBOS Transact libraries: - Python: https://github.com/dbos-inc/dbos-transact-py - TypeScript: https://github.com/dbos-inc/dbos-transact-ts ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Like building real stuff? ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Link to other playlists. LIKE, SHARE and SUBSCRIBE ------------------------------------------------------------------------------------------------------------------------------------------------------------------ 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!

Deep Dive into Databases with Peter Zaitsev | The GeekNarrator Podcast Join host Kaivalya Apte and special guest Peter Zaitsev from Percona on this episode of the Geeknerder Podcast. They discuss Peter's fascinating journey into the world of databases, founding Percona, and the evolution of open source database solutions. Topics include the rise of PostgreSQL, the comparison between MySQL and PostgreSQL, database observability, the impact of cloud and Kubernetes on database management, licensing changes in popular databases like Redis, and career advice for database administrators and developers. Stay tuned for insights on the future of databases, observability strategies, and the role of AI in database management. 00:00 Introduction and Guest Welcome 00:14 Peter's Journey into Databases 04:15 The Rise of PostgreSQL vs MySQL 18:17 Challenges in Managing Database Clusters 24:36 Common Developer Mistakes with Databases 30:59 MongoDB's Success and Future 34:53 Redis and Licensing Changes 37:07 Elastic's License Change and Its Impact 38:25 Redis Fork and Industry Collaboration 40:27 Kubernetes and Cloud-Native Databases 47:47 Challenges in Database Upgrades and Migrations 54:58 Load Testing and Observability 01:09:02 Future of Database Administration and Development 01:15:13 Conclusion and Final Thoughts Become a member of The GeekNarrator to get access to member only videos, notes and monthly 1:1 with me. Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator 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!

Join Kaivalya Apte and Simon Hørup Eskildsen from Turbopuffer as they talk about the complexities of building a database on top of object storage. Discover the key challenges, the nuances of various storage formats, and the critical trade-offs involved. Learn from Simon's rich experience, from his time at Shopify to creating Turbopuffer. This episode covers everything—from approaches to write-ahead logs to multi-tenancy and object storage advancements. Perfect for database enthusiasts and those keen on first-principles thinking! 00:00 Introduction 00:17 Simon's Background and Journey to TurboBuffer 02:42 Challenges in Database Scalability 04:21 Experimenting with Vector Databases 05:02 Cost Implications of Vector Databases 05:52 Architectural Considerations for Search Workloads 07:39 Building a Database on Object Storage 16:14 Designing a Simple Database on Object Storage 26:01 Handling Multiple Writers and Consistency 31:26 Trade-offs in Write Operations 32:36 Optimizing MySQL Write Performance 34:03 Batching Writes in Object Storage 35:08 Time-Based vs Size-Based Batching 36:32 Understanding Amplification in Databases 42:26 Challenges with Cold Queries 44:02 Building and Persisting B-Trees 50:53 Separating Workloads in Databases 56:07 Multi-Tenancy Challenges 01:00:39 Choosing Storage Formats 01:06:10 Key Innovations in Object Storage Databases Important links: - https://github.com/sirupsen/napkin-math (numbers) - https://turbopuffer.com/ - https://turbopuffer.com/architecture - https://sirupsen.com/napkin/problem-10-mysql-transactions-per-second - https://sirupsen.com (my blog, napkin math) - https://sirupsen.com/subscribe (napkin math newsletter) - https://github.com/rkyv/rkyv rkyv rust Become a member of The GeekNarrator to get access to member only videos, notes and monthly 1:1 with me. Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator 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!

Welcome to The GeekNarrator podcast! In this episode, host Kaivalya Apte goes deeper into the practical applications of formal methods with Jack Vanlightly, a principal technologist at Confluent. With years of experience in distributed systems, Jack discusses his journey and how formal methods have been instrumental in system design verification and bug detection. The conversation covers Jack's background, his process of using formal methods, the significance of modelling, verification, documentation, and systems learning, as well as the future evolution of tooling and its applications. Tune in to understand the intricacies of how formal methods can transform your approach to distributed systems! Chapters: 00:00 Introduction to the episode 00:37 Meet Jack VanLightly: Principal Technologist at Confluent 02:17 Jack's Journey into Distributed Systems 04:29 Discovering the Power of Formal Methods 08:11 Modeling and Simulation in Formal Methods 13:43 Verification and Safety Properties 19:02 Documentation and Communication Challenges 20:43 Formal Methods as a Systems Learning Tool 24:26 Practical Applications and Case Studies 56:38 Future of Formal Verification and Closing Thoughts Jack's Blog: https://jack-vanlightly.com/ Become a member of The GeekNarrator to get access to member only videos, notes and monthly 1:1 with me. Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator 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!

Database Internals - NileDB: Postgres Re-engineered for Multitenant Apps with Gwen Shapira Join us in this episode as we dive deep into the intricacies of NileDB, a groundbreaking database re-engineered for multi-tenant applications. Our special guest, Gwen Shapira, co-founder of NileDB and a notable figure in the database field, shares her insights and technical know-how on solving the common challenges faced by multitenant SaaS applications. From the benefits of using Postgres as the underlying database to the unique tenant isolation features of NileDB, we cover it all. Don't miss out on learning about AI native capabilities, handling schema migrations, and ensuring zero downtime data migrations. Chapters: 00:00 Introduction 07:19 Challenges in Multi-Tenant Databases 11:09 Tenant Isolation and NILDB's Approach 34:16 Necessary Modifications for Tenant Data 37:47 Zero Downtime Data Migrations 44:32 Handling Schema Migrations 59:11 AI Use Cases and Vector Embedding Storage 59:51 Technical and Non-Technical Learnings from Building Nile 01:05:03 Future Plans and Upcoming Features NileDB: https://www.thenile.dev/ Blog: https://www.thenile.dev/blog Gwen's Linkedin: https://www.linkedin.com/in/gwenshapira Gwen's Twitter: https://twitter.com/gwenshap #postgres #sql #ai Become a member of The GeekNarrator to get access to member only videos, notes and monthly 1:1 with me. Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator 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!

Building a Continuous Profiler with Frederic from Polar Signals | Geek Narrator Podcast In this episode we chat with Frederic from Polar Signals. We dive deep into the intricacies of building a continuous profiler, the challenges faced, and the unique solutions developed by Polar Signals. Frederic shares insights from his background in observability and discusses the innovations in FrostDB, a custom columnar database designed for high-performance query and storage of profiling data. Chapters: 00:00 Introduction 00:29 Frederic's Background 03:40 What is Continuous Profiling? 06:56 Challenges in Data Collection 18:22 Profiling Data Ingestion and Storage Architecture 27:23 Querying Data 28:52 High Cardinality Data and Cost Optimization 23:39 Tenant Isolation and Load Management 41:24 Performance Optimizations 46:02 Testing & Deterministic Simulation 50:33 Technical and Organizational Learnings 54:32 Future of Polar Signals 56:21 Conclusion You can check more about Polar Signals here: https://www.polarsignals.com/ Become a member of The GeekNarrator to get access to member only videos, notes and monthly 1:1 with me. Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator 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! #distributedsystems #systemdesign

Welcome back to another episode! Today, I have a special guest, Chris Riccomini, joining me to delve into the exciting world of databases. In this episode, we focus on SlateDB, a new and innovative database that's making waves in the tech community. We'll cover a wide range of topics, including the architecture of SlateDB, its internals, design decisions, and some fascinating use cases. Chris, a seasoned software engineer with a background at LinkedIn and WePay, shares his journey and the motivations behind creating SlateDB. 🎙️ Chatpers: 00:00 Introduction to the Topic and Guest 01:58 Chris Riccomini's Background and Experience 04:19 The Genesis of SlateDB 04:54 Understanding SlateDB's Architecture 10:22 The Rise of Object Storage in Databases 13:43 Exploring SlateDB's Features and Trade-offs 32:54 Understanding Latency Trade-offs 34:12 Exploring Storage Formats and Manifest Files 37:25 Caching Strategies and Optimizations in SlateDB 50:21 Consistency Guarantees and Transactionality 52:36 Integration and Resource Management in SlateDB 56:04 Future Prospects and Use Cases for SlateDB SlateDB: https://slatedb.io/ More about Chris: https://cnr.sh/ Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator 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! #distributedsystems #systemdesign #formalmethods