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Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join host Kris Jenkins (Senior Developer Advocate, Confluent) as he streams through a series of interviews, stories, and use cases with gues ...
 
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Kubernetes Bytes

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Kubernetes Bytes

Ryan Wallner & Bhavin Shah

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Kubernetes Bytes is a podcast bringing you the latest from the world of cloud native data management. Hosts Ryan Wallner and Bhavin Shah come to you from Boston, Massachusetts with experienced backgrounds in cloud-native tech. They'll be sharing their thoughts on recent cloud native news and talking to industry experts about their experiences and challenges managing the wealth of data in today's cloud-native ecosystem.
 
Hosted by Viktor Gamov and Kaitlyn Barnard, we interview software developers and technology leaders at the top of their game every other week. We’ll also give you the tools, tactics and strategies you need to take your cloud native architecture to the next level. We go beyond the buzzwords and dissect real-life applications and success stories so that you can tackle your biggest connectivity challenges.
 
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show series
 
In this episode of Kubernetes Bytes, Ryan and Bhavin talk Cesar Saavedra of Gitlab about the importance of GitOps, DevSecOps and more with Kubernetes. They also cover what Gitlab has to offer in this particular space and what new features they have been working on. EKS/Container Marketplace as EKS add-ons https://aws.amazon.com/blogs/aws/new-aws-ma…
 
Is there a better way to manage access to resources without compromising security? New employees need access to a variety of resources within a company's tech stack. But manually granting access can be error-prone. And when employees leave, their access must be revoked, thus potentially introducing security risks if an admin misses one. In this pod…
 
Can we use machine learning to detect security threats in real-time? As organizations increasingly rely on distributed systems, it is becoming more important to analyze the traffic that passes through those systems quickly. Confluent Hackathon ’22 finalist, Géraud Dugé de Bernonville (Data Consultant, Zenika Bordeaux), shares how his team used Tens…
 
In this episode, Ryan and Bhavin interview Alexander Mattoni - Co-founder and Head of Engineering at Cycle.io about When to use and When to not use Kubernetes. The discussion focuses on the challenges associated with Kubernetes adoption - On Day 0 and Day 2, and what are other alternatives available to organizations that are just looking to run the…
 
What happens when you need to store more than a few petabytes of data? Rittika Adhikari (Software Engineer, Confluent) discusses how her team implemented tiered storage, a method for improving the scalability and elasticity of data storage in Apache Kafka®. She also explores the motivating factors for building it in the first place: cost, performan…
 
In principle, data mesh architecture should liberate teams to build their systems and gather data in a distributed way, without having to explicitly coordinate. Data is the thing that can and should decouple teams, but proper implementation has its challenges. In this episode, Kris talks to Florian Albrecht (Solution Architect, Hermes Germany) abou…
 
In this episode of Kubernetes Bytes, Jonathan Phillips & Sean Pomeroy from Kubecost join us to talk about understanding the cost of Kubernetes clusters. Kubernetes and the pods that run within the cluster are a large part of the cost story but it doesn't end there, networking, object storage, egress and more are part of the pull optimization story …
 
Is real-time data streaming the future, or will batch processing always be with us? Interest in streaming data architecture is booming, but just as many teams are still happily batching away. Batch processing is still simpler to implement than stream processing, and successfully moving from batch to streaming requires a significant change to a team…
 
Streaming real-time data at scale and processing it efficiently is critical to cybersecurity organizations like SecurityScorecard. Jared Smith, Senior Director of Threat Intelligence, and Brandon Brown, Senior Staff Software Engineer, Data Platform at SecurityScorecard, discuss their journey from using RabbitMQ to open-source Apache Kafka® for stre…
 
In this part - 2 episode of Kubernetes Bytes - live from Detroit during the Kubecon + CloudNativeCon North America 2022, Ryan Wallner and Bhavin Shah talk to guests on the show floor and learn more about what's new at Kubecon, what are their thoughts on Day 0 events, Keynotes, etc, and also share some things to do in Detroit. They talk to Brad Asca…
 
In this part - 1 episode of Kubernetes Bytes - live from Detroit during the Kubecon + CloudNativeCon North America 2022, Ryan Wallner and Bhavin Shah talk to guests on the show floor and learn more about what's new at Kubecon, what are their thoughts on Day 0 events, Keynotes, etc, and also share some things to do in Detroit. They talk to Peter Zai…
 
What are some recommendations to consider when running Apache Kafka® in production? Jun Rao, one of the original Kafka creators, as well as an ongoing committer and PMC member, shares the essential wisdom he's gained from developing Kafka and dealing with a large number of Kafka use cases. Here are 6 recommendations for maximizing Kafka in producti…
 
Is it possible to build a real-time data platform without using stateful stream processing? Forecasty.ai is an artificial intelligence platform for forecasting commodity prices, imparting insights into the future valuations of raw materials for users. Nearly all AI models are batch-trained once, but precious commodities are linked to ever-fluctuati…
 
In this episode of Kubernetes Bytes, Bhavin and Ryan talk with Vishnu Korde, CEO and Chief Architect of StackOS. The hosts explore the topic of "DeCloud" or decentralized cloud which aims to create anonymity through the use of cross-chain open protocols allowing individuals and organizations to create a decentralized computing layer for the interne…
 
Java Virtual Machines (JVMs) impact Apache Kafka® performance in production. How can you optimize your event-streaming architectures so they process more Kafka messages using the same number of JVMs? Gil Tene (CTO and Co-Founder, Azul) delves into JVM internals and how developers and architects can use Java and optimized JVMs to make real-time data…
 
Apache Kafka® 3.3 is released! With over two years of development, KIP-833 marks KRaft as production ready for new AK 3.3 clusters only. On behalf of the Kafka community, Danica Fine (Senior Developer Advocate, Confluent) shares highlights of this release, with KIPs from Kafka Core, Kafka Streams, and Kafka Connect. To reduce request overhead and s…
 
How do you set data applications in motion by running stateful business logic on streaming data? Capturing key stream processing events and cumulative statistics that necessitate real-time data assessment, migration, and visualization remains as a gap—for event-driven systems and stream processing frameworks according to Fred Patton (Developer Evan…
 
In this Episode of Kubernetes Bytes, Ryan and Bhavin talk about upcoming conferences and dig into the world of Kuberentes Security. Bhavin and Ryan talk about and dig into the various aspects of the 4C's of Cloud Native Security (Code, Container, Cluster and Cloud). Bhavin and Ryan dig in a foot deep from everything from encryption at rest, network…
 
What’s your favorite podcast? Would you like to find some new ones? In celebration of International Podcast Day, Kris Jenkins invites 12 experts from the Apache Kafka® community to talk about their favorite podcasts. Unlike other episodes where guests educate developers and tell stories about Kafka, its surrounding technological ecosystem, or the C…
 
How do you build an event-driven application that can react to real-time data streams as they happen? Kris Jenkins (Senior Developer Advocate, Confluent) will be hosting another fun, hands-on programming workshop—Coding in Motion: Watching the River Flow, to demonstrate how you can build a reactive event streaming application with Apache Kafka®, ks…
 
Processing real-time event streams enables countless use cases big and small. With a day job designing and building highly available distributed data systems, Simon Aubury (Principal Data Engineer, Thoughtworks) believes stream-processing thinking can be applied to any stream of events. In this episode, Simon shares his Confluent Hackathon ’22 winn…
 
In this episode, Ryan and Bhavin interview Justin Lee, Principal Solutions Engineer at Confluent, about all things Kafka on Kubernetes. The discussion focuses on what Kafka is, how it helps developers build applications, and then dives into how developers or operators can deploy and run Kafka on Kubernetes using either Confluent for Kubernetes (CFK…
 
How do you analyze Reddit sentiment with Apache Kafka® and microservices? Bringing the fresh perspective of someone who is both new to Kafka and the industry, Shufan Liu, nascent Developer Advocate at Confluent, discusses projects he has worked on during his summer internship—a Cluster Linking extension to a conceptual data pipeline project, and a …
 
How do you plan Apache Kafka® capacity and Kafka Streams sizing for optimal performance? When Jason Bell (Principal Engineer, Dataworks and founder of Synthetica Data), begins to plan a Kafka cluster, he starts with a deep inspection of the customer's data itself—determining its volume as well as its contents: Is it JSON, straight pieces of text, o…
 
Reimagining a data architecture to provide real-time data flow for sporting events can be complicated, especially for organizations with as much data as World Table Tennis (WTT). Vatsan Rama (Director of IT, ITTF Group) shares why real-time data is essential in the sporting world and how his team reengineered their data system in 18 months, moving …
 
Ryan (@wallywalls22) and Bhavin (@bhavin04890) talk to Brendan Burns (@brendandburns), co-founder of the Kubernetes open source project and corporate vice president for Azure cloud-native open source, and Ganeshkumar Ashokavardhanan (@ganeshkumar_av), Software Engineer in the Azure Kubernetes Service (AKS) team about community, Kubernetes and open-…
 
In this episode of Kubernetes Bytes, Ryan and Bhavin talk to the SIG Storage COSI Co-Lead Sid Mani about the Container Object Storage Interface (COSI) project, as it enters the Alpha phase of the maturity cycle. The discussion dives into the need for a different Object Storage standard, how it works with Kubernetes, the vision of the community, and…
 
Inheriting software in the banking sector can be challenging. Perhaps the only thing harder is inheriting software built by a committee of banks. How do you keep it running, while improving it, refactoring it, and planning a bigger future for it? In this episode, Jean-Francois Garet (Technical Architect, Symphony) shares his experience at Symphony …
 
Security is a primary consideration for any system design, and Apache Kafka® is no exception. Out of the box, Kafka has relatively little security enabled. Rajini Sivaram (Principal Engineer, Confluent, and co-author of “Kafka: The Definitive Guide” ) discusses how Kafka has gone from a system that included no security to providing an extensible an…
 
In this week's episodes Bhavin and Ryan dive into the three different operators that MongoDB has for deploying and managing MongoDB with Kubernetes with Developer Advocates Joel Lord & Cedric Clyburn. Come learn about the different ways you can get started using MongoDB with Kubernetes, lessons learned getting started and how to use MongoDB's multi…
 
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