הפודקאסטים הטובים ביותר ב-Kubernetes Bytes (2025)

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EP 66: Cam Sinclair from SmartChain 1:02:49

2d ago1:02:49

1:02:49

SmartChain is on a mission to kill off the chaos of clunky contracts in oil and gas—and they might actually be pulling it off. We caught up with their co-founder Cameron Sinclair, who’s turning heads with a platform that automates the mess out of invoicing, closes those dreaded “leakage” gaps, and makes cash flow way less of a guessing game. From a…

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Anna: A KVS For Any Scale 19:01

12d ago19:01

19:01

This research paper introduces Anna, a key-value store (KVS) designed for scalable performance across diverse computing environments, from single multi-core machines to globally distributed cloud deployments. Anna achieves high performance and adaptability through a partitioned, multi-master architecture utilizing wait-free execution and coordinati…

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EP 65: Brandon Davis from AFE Leaks 1:04:23

18d ago1:04:23

1:04:23

We're lifting the curtain on the mysterious world of energy data transparency with the guy who's shaking things up at AFE Leaks. He's on a mission to break open the hidden details around oil and gas costs and operations, think: cracking open dusty old filings and turning them into something everyone can actually use. He chats about the wild ride of…

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Conflict-free Replicated Data Types 26:17

20d ago26:17

26:17

This academic paper introduces Conflict-free Replicated Data Types (CRDTs), which are abstract data types designed for distributed systems where data is replicated across multiple locations. CRDTs allow any replica to be modified without needing immediate coordination with other replicas, ensuring high availability and low latency. The core concept…

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CAP Twelve Years Later: How the "Rules" Have Changed 29:47

27d ago29:47

29:47

This content from InfoQ provides insights for software architects and developers through various formats like newsletters, articles, and conference information. It highlights topics in architecture, AI, data engineering, culture, methods, and DevOps. Featured pieces discuss Slack's cellular architecture, data stream processing patterns, cultivating…

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Raft versus Paxos: An Understandable Consensus Algorithm 33:14

1M ago33:14

33:14

Raft, a consensus algorithm designed for managing a replicated log in distributed systems. It aims to be more understandable than Paxos, a widely used but complex alternative, while achieving equivalent efficiency and safety. Raft separates key consensus elements like leader election, log replication, and safety, using techniques such as problem de…

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Neo4j Architecture: Graph Database Internals, Performance, and Optimization 17:42

1M ago17:42

17:42

This compilation of resources offers a comprehensive examination of Neo4j's graph database architecture. It explains how Neo4j differs from relational and document-oriented databases through its native graph storage. The materials describe how nodes, relationships, and properties are stored and indexed for efficient traversal and query processing. …

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EP 64: Joshua Johnston from Capsher Technology 57:39

2M ago57:39

57:39

AI isn't just a buzzword in oil and gas, it’s changing the game, and we’re breaking it down with someone who’s been in the trenches making it happen. From smarter fracking and streamlined drilling to navigating the chaos of legacy systems, this convo peels back the curtain on what it *really* takes to build tech that actually works in the field. We…

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Sentry: Error Monitoring at Scale - Design Principles Analysis 15:48

2M ago15:48

15:48

Sentry is a large-scale, open-source error monitoring platform designed for modern distributed systems. It prioritizes actionable insights by focusing on exceptions and crashes, enriching errors with contextual data, and using features such as breadcrumbs and error grouping. Sentry's architecture employs modular and decoupled components like Relay …

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Istio Service Mesh: Architecture, Security, and Traffic Management 33:58

2M ago33:58

33:58

These excerpts offer a detailed look at Istio's service mesh architecture, a critical component for managing microservices in cloud-native environments. The architecture is divided into a control plane and data plane, emphasizing security through automated mTLS and traffic management with advanced load balancing techniques. Observability is achieve…

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CockroachDB: SQL for Global Scale Design Principles 14:33

2M ago14:33

14:33

CockroachDB is a distributed SQL database designed for global scalability and resilience. The database achieves this through a unique architecture built on a monolithic key-value store, Raft-based replication, and hybrid logical clocks. Transaction management is optimized for global workloads using a non-blocking commit protocol and multi-region ca…

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EP 63: Vicki Knott from CruxOCM 1:00:20

2M ago1:00:20

1:00:20

What happens when a control room engineer gets fed up with clunky old systems and decides to rebuild them from the ground up? You get CruxOCM, a company shaking up pipeline automation with tools like PipeBot and GatherBot that sound like sci-fi but are very real (and very efficient). Vicki Knott shares how she went from pulp and paper mills to lead…

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Snowflake: Revolutionizing Cloud Data Warehousing and Analytics 17:21

2M ago17:21

17:21

Snowflake, a cloud-native data warehouse, revolutionizes modern analytics through its unique architecture and capabilities. The platform separates compute and storage layers, enabling independent scaling and optimized performance. Its three-layer design encompasses cloud services, a compute layer using virtual warehouses, and a storage layer levera…

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EP 62: Nick Fornicola from Beusa Energy 1:13:45

2M ago1:13:45

1:13:45

AI in oil and gas isn't just a buzzword, it's actually solving real problems out in the field. On this episode, we chat with someone who's knee-deep in the data trenches and building tools that make workflows faster, smarter, and way less painful. From using vibration data to predict when gear’s about to break, to training AI to read and summarize …

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Kubernetes: Container Orchestration, Architecture, and Evolution 25:56

3M ago25:56

25:56

This collection of excerpts comprehensively examines Kubernetes, the leading container orchestration platform. It traces the historical evolution of container orchestration and highlights Kubernetes' architectural foundations, including its control plane and node components. Scalability mechanisms like horizontal pod autoscaling and cell-based arch…

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Elasticsearch: Architecture, Applications, and Emerging Trends 18:13

3M ago18:13

18:13

This compilation of excerpts thoroughly examines Elasticsearch, focusing on its architecture, applications, and future trends. The core architecture and its integration within the Elastic Stack are highlighted, emphasizing scalability and real-time analytics. Various specialized applications are discussed, including maritime data storage, academic …

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Ray: A Distributed Framework for Emerging AI Applications 19:40

3M ago19:40

19:40

This research paper introduces Ray, a distributed framework designed for emerging AI applications, particularly those involving reinforcement learning. It addresses the limitations of existing systems in handling the complex demands of these applications, which require continuous interaction with the environment. Ray unifies task-parallel and actor…

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Zanzibar: Google's Global Authorization System 27:21

3M ago27:21

27:21

This paper details Zanzibar, Google's globally distributed authorization system, designed to manage access control lists (ACLs) at a massive scale. Zanzibar uses a flexible data model and configuration language to handle diverse access control policies for numerous Google services, achieving high availability and low latency. The system maintains e…

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Database as a service with Percona Everest 1:02:44

3M ago1:02:44

1:02:44

In this episode of the Kubernetes Bytes podcast, Ryan and Bhavin sit down with Edith (Edi) Puclla, Technology Evangelist at Percona to talk about Percona Everest. The conversation focuses on Percona's investment in the Open-source ecosystem, and how they keep innovating with Percona Monitoring and Management and Percona Everest. The discussion also…

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Google Mesa: A Geo-Replicated, Near Real-Time Data Warehouse 15:02

3M ago15:02

15:02

**Mesa** is a highly scalable, geo-replicated data warehousing system developed at Google to handle petabytes of data related to its advertising business. **Designed for near real-time data ingestion and querying**, it processes millions of updates per second and serves billions of queries daily. **Key features include strong consistency, high avai…

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Time, Clocks, and the Ordering of Events in a Distributed System 13:50

4M ago13:50

13:50

This paper, "Time, Clocks, and the Ordering of Events in a Distributed System," explores the challenges of defining and managing time in distributed systems. It introduces the concept of a "happened before" relation to partially order events and presents an algorithm for creating a consistent total ordering using logical clocks. The paper then exte…

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ZooKeeper: Wait-Free Coordination for Internet-Scale Systems 26:38

4M ago26:38

26:38

This paper details the design and implementation of ZooKeeper, a high-performance coordination service for large-scale distributed systems. ZooKeeper provides a simple, wait-free API enabling developers to build various coordination primitives, such as locks and group membership, without server-side modifications. It achieves high throughput throug…

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EP 61: Brock Meyer from Wise Rock 1:02:46

4M ago1:02:46

1:02:46

Oil and gas engineers drowning in data, meet your new best friend—Wise Rock. We’re talking lightning-fast analytics, effortless communication, and a platform built to make your life easier. Brock Meyer, the brains behind it, joins us to share how his tech is slashing downtime, streamlining workflows, and bringing exception-based surveillance to the…

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TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems 17:02

4M ago17:02

17:02

This paper details TensorFlow, a large-scale machine learning system developed by Google. TensorFlow uses dataflow graphs to represent computation and manages state across diverse hardware, including CPUs, GPUs, and TPUs. It offers a flexible programming model, allowing developers to experiment with novel optimizations and training algorithms beyon…

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Firestore: A Serverless NoSQL Database 27:46

4M ago27:46

27:46

This paper details Google Firestore, a NoSQL serverless database built on Spanner. It highlights Firestore's ease of use, scalability, real-time query capabilities, and support for disconnected operations. The architecture, which enables multi-tenancy and efficient handling of large datasets, is explained. Performance benchmarks and practical lesso…

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Apache Flink: Stream and Batch Processing in a Single Engine 18:12

5M ago18:12

18:12

This research paper details Apache Flink, an open-source system unifying stream and batch data processing. Flink uses a dataflow model to handle various data processing needs, including real-time analytics and batch jobs, within a single engine. The paper explores Flink's architecture, APIs (including DataStream and DataSet APIs), and fault-toleran…

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Kafka: A Distributed Messaging System for Log Processing 16:52

5M ago16:52

16:52

This paper introduces Kafka, a novel distributed messaging system designed for high-throughput log processing. Kafka addresses limitations in existing messaging systems and log aggregators by offering a scalable, efficient architecture with a simple API. Key features include a pull-based consumption model, efficient storage and data transfer mechan…

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LinkedIn: Using Set Cover to Optimize a Large-Scale Low Latency Distributed Graph 12:59

5M ago12:59

12:59

This research paper details LinkedIn's solution for optimizing low-latency graph computations within their large-scale distributed graph system. To improve performance, they implemented a modified greedy set cover algorithm to minimize the number of machines needed for processing second-degree connection queries. This optimization significantly red…

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Monolith: A Real-Time Recommendation System 20:25

5M ago20:25

20:25

This research paper details Monolith, a real-time recommendation system developed by Bytedance. Monolith addresses challenges in building scalable recommendation systems, such as sparse and dynamic data, and concept drift, by employing a collisionless embedding table and an online training architecture. Key innovations include a Cuckoo HashMap for …

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Meta FlexiRaft: Flexible Quorums for Raft Consensus 24:27

6M ago24:27

24:27

This research paper details FlexiRaft, a modified Raft consensus algorithm designed for Meta's petabyte-scale MySQL deployments. The core improvement is the introduction of flexible quorums, allowing configurable trade-offs between latency, throughput, and fault tolerance. Two quorum modes are presented: static and dynamic. The paper explores the a…

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KubeCon NA 2024 News Recap 58:24

6M ago58:24

58:24

Join Bhavin Shah and Ryan Wallner for a recap of announcements and news from KubeCon North America 2024. Check out our website at https://kubernetesbytes.com/ https://www.businesswire.com/news/home/20241119538933/en/Spectro-Cloud-Closes-75m-Series-C-Led-by-Growth-Equity-at-Goldman-Sachs-Alternatives https://northflank.com/blog/northflank-raises-22m…

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EP 60: Onega Ulanova from QMS2GO 1:11:48

6M ago1:11:48

1:11:48

From Kazakhstan to Louisiana and now shaking up the oil and gas industry, Onega Ulanova’s story is as bold as her startup, QMS2GO. This AI-powered tool is turning the grind of quality management into a smooth operation—automating audits, crafting training materials, and capturing wisdom from seasoned machinists. Inspired by her own experience as a …

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Spanner: Google’s Globally Distributed Database 13:28

6M ago13:28

13:28

This research paper details Spanner, Google's globally-distributed database system. Spanner achieves strong consistency across its geographically dispersed data centers using a novel TrueTime API that accounts for clock uncertainty. The system features automatic sharding, failover, and a semi-relational data model, addressing limitations of previou…

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Increasing AI adoption using Kubernetes 52:03

6M ago52:03

52:03

In this episode of the Kubernetes Bytes podcast, Ryan and Bhavin talk to Tobi Knaup, VP and General Manager of Cloud Native at Nutanix about all things Kubernetes and AI. The discussion focuses on how Kubernetes has evolved since the early days, and why it's architecture is a perfect fit for accelerating adoption of AI workloads inside organization…

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EP 59: Jacob Matson from MotherDuck 1:24:21

6M ago1:24:21

1:24:21

What happens when a lightning-fast database meets a quirky name like MotherDuck? You get DuckDB—an embeddable powerhouse shaking up the data warehouse world. It’s fast, it’s sleek, and it’s turning traditional multi-node setups into yesterday’s news. Jacob Matson from MotherDuck spills the beans on how they’re turbocharging DuckDB for the cloud, ma…

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Meta Minesweeper: Scalable Statistical Root Cause Analysis on App Telemetry 17:54

6M ago17:54

17:54

This research paper introduces Minesweeper, a novel technique for automated root cause analysis (RCA) of software bugs at scale. Leveraging telemetry data, Minesweeper efficiently identifies statistically significant patterns in user app traces that correlate with bugs, even in the absence of detailed debugging information. The method uses sequenti…

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Cassandra- A Decentralized Structured Storage System 14:27

7M ago14:27

14:27

This paper details Cassandra, a decentralized structured storage system designed for managing massive amounts of structured data across numerous commodity servers. High availability and scalability are key features, achieved through techniques like consistent hashing for data partitioning and replication strategies across multiple data centers to h…

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EP 58: Jon Brewton from data² 1:09:58

7M ago1:09:58

1:09:58

AI and energy might sound like an odd couple, but data² is making it a match made in industrial heaven. With their GraphRAG tech hitting 99% accuracy, they’re tackling billion-dollar challenges like well abandonment and lease block acquisition while rethinking how the energy sector uses AI. Led by John Brewton, who’s blended big-league experience f…

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FoundationDB: A Distributed Unbundled Transactional Key Value Store 21:02

7M ago21:02

21:02

The provided text is an excerpt from a research paper on FoundationDB, an open-source, distributed transactional key-value store. The paper details FoundationDB's design principles, architecture, and key features, including its unbundled architecture, strict serializability through a combination of optimistic concurrency control (OCC) and multi-ver…

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EP 57: EZ Ops and Detechtion 1:13:32

7M ago1:13:32

1:13:32

Get ready for a deep dive into field data capture with Brandon Ambrose, the mastermind behind EZ Ops, and Ruchita Rosario, data science whiz from Detechtion. They’re breaking down how they’re making life easier for the folks on the ground in oil and gas by bringing AI and smarter data to field operations. Instead of drowning in raw data, operators …

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Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 18:56

7M ago18:56

18:56

This document describes the design of Amazon Aurora, a cloud-native relational database service built to handle high-throughput, online transaction processing (OLTP) workloads. The paper highlights the challenges of traditional database architectures in cloud environments, specifically the I/O bottleneck created by network traffic. Aurora addresses…

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Pregel: A System for Large-Scale Graph Processing 22:39

7M ago22:39

22:39

The article is a paper published in 2010 by researchers at Google that introduces Pregel, a large-scale graph processing system. Pregel is designed for processing graphs with billions of vertices and trillions of edges, and it uses a vertex-centric approach where vertices are assigned to individual machines and communicate with each other through m…

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Dapper, a Large-Scale Distributed Systems Tracing Infrastructure 20:42

7M ago20:42

20:42

This paper from Google describes the design and implementation of Dapper, Google’s system for tracing requests in distributed systems. The authors explain why they chose a distributed tracing system, the design decisions they made for Dapper, and how the Dapper infrastructure has been used in practice. They also discuss the impact of Dapper on appl…

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EP 56: Spotfire: The Ultimate Guide for Data Scientists 1:17:50

7M ago1:17:50

1:17:50

Atheer Al-Attar and Jose Leviaguirre, AI experts from Spotfire, join hosts Bobby and John on this episode of Energy Bytes to reveal how Spotfire is transforming data analysis in the oil and gas sector. They delve into Spotfire's AI-powered co-pilot that enhances decision-making through advanced data visualization and real-time insights, helping com…

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Monolith to Microservices using Kubernetes at Guidewire 1:06:28

7M ago1:06:28

1:06:28

In this episode of the Kubernetes Bytes podcast, Ryan and Bhavin sit down with Diego Devalle and Anoop Gopalakrishnan from Guidewire to talk about how they went through an application modernization journey and adopted Kubernetes and cloud over the last 5 years. Diego and Anoop share their experiences around how they drove this modernization inside …

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Google: The Chubby lock service for loosely-coupled distributed systems 51:11

7M ago51:11

51:11

This document describes the development and implementation of Google's Chubby lock service, a highly available and reliable system that provides coarse-grained locking and storage for distributed systems. The authors discuss the design choices behind Chubby, including its emphasis on availability over performance, and the use of a file system-like …

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EP 55: Hatem Nasr from Softserve 1:15:11

7M ago1:15:11

1:15:11

Hatem Nasr, Global Director of Digital Energy O&G at SoftServe, joins John on the Energy Bytes Podcast to discuss the transformative impact of AI and data science on the oil and gas sector. With over 15 years dedicated to the digital oilfield, Hatem shares his vision for integrating smart systems and generative AI to tackle the industry's knowledge…

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Megastore: Providing Scalable, Highly Available Storage for Interactive Services 18:19

7M ago18:19

18:19

The provided text describes the architecture and design of Megastore, a Google-developed storage system designed to meet the needs of interactive online services. Megastore blends the scalability of NoSQL datastores with the convenience of traditional relational databases, offering high availability and strong consistency guarantees. It achieves th…

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Bigtable: A Distributed Storage System for Structured Data 15:26

7M ago15:26

15:26

The article, “Bigtable: A Distributed Storage System for Structured Data,” describes a large-scale distributed data storage system developed at Google, capable of handling petabytes of data across thousands of servers. Bigtable uses a simple data model that allows clients to dynamically control data layout and format, making it suitable for various…

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MapReduce: Simplified Data Processing on Large Clusters 14:15

7M ago14:15

14:15

MapReduce is a programming model that simplifies the process of processing large datasets on clusters of commodity machines. It allows users to define two functions: Map and Reduce, which are then automatically parallelized and executed across the cluster. The Map function processes key/value pairs from the input data and generates intermediate key…

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