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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.
 
Streaming Audio is a podcast from Confluent, the team that originally built Apache Kafka. Host Tim Berglund (Senior Director of Developer Advocacy, Confluent) and guests unpack a variety of topics surrounding Apache Kafka, event stream processing, and real-time data. The show covers frequently asked questions and comments about the Confluent and Kafka ecosystems—from Kafka connectors to distributed systems, data integration, Kafka deployment, and managed Apache Kafka as a service—on Twitter, ...
 
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What is ksqlDB and how does Simon Aubury (Principal Data Engineer, Thoughtworks) use it to track down the plane that wakes his cat Snowy in the morning? Experienced in building real-time applications with ksqlDB since its genesis, Simon provides an introduction to ksqlDB by sharing some of his projects and use cases. ksqlDB is a database purpose-bu…
 
In this Kongcast Episode, Chinmay Gaikwad, tech evangelist at Epsagon, explains why metrics and logs aren’t sufficient for companies with a microservices architecture. Instead, Chinmay recommends leveraging distributed tracing for optimal observability. Try Epsagon in a demo environment: https://demo.epsagon.com Sign up for Epsagon: https://app.eps…
 
Many of us find ourselves in the position of equipping others to use Apache Kafka® after we’ve gained an understanding of what Kafka is used for. But how do you communicate and teach others event streaming concepts effectively? As a Pluralsight instructor and business intelligence consultant, Eugene Meidinger shares tips for creating consumable tra…
 
If you ever wondered what exactly dead letter queues (DLQs) are and how to use them, Jason Bell (Senior DataOps Engineer, Digitalis) has an answer for you. Dead letter queues are a feature of Kafka Connect that acts as the destination for failed messages due to errors like improper message deserialization and improper message formatting. Lots of Ja…
 
Organizations don’t move as fast as technology. That’s why in this Kongcast episode, Aaron Weikle, Founder & CEO at MS3, explains how to continue supporting your organization’s legacy-based services as they continue to add the next generation of services. More about MS3's Kong SOAP plugins: https://www.ms3-inc.com/wp-content/uploads/2021/11/Kong-SO…
 
Confluent Platform 7.0 has launched and includes Apache Kafka® 3.0, plus new features introduced by KIP-630: Kafka Raft Snapshot, KIP-745: Connect API to restart connector and task, and KIP-695: Further improve Kafka Streams timestamp synchronization. Reporting from Dubai, Tim Berglund (Senior Director, Developer Advocacy, Confluent) provides a sum…
 
Kafka Streams is a native streaming library for Apache Kafka® that consumes messages from Kafka to perform operations like filtering a topic’s message and producing output back into Kafka. After working as a developer in stream processing, Bill Bejeck (Apache Kafka Committer and Integration Architect, Confluent) has found his calling in sharing kno…
 
There’s no one-size-fits-all when it comes to developers. In this Kongcast episode, Ben Greenberg, Developer Advocate at Orbit, chats with us about building better engineering communities and focusing on the outcomes rather than technology. At the end, he shows us how he leveraged GitHub Actions to create a copy-and-paste workflow that integrates s…
 
Managing infrastructure as code (IaC) instead of using manual processes makes it easy to scale systems and minimize errors. Rosemary Wang (Developer Advocate, HashiCorp, and author of “Essential Infrastructure as Code: Patterns and Practices”) is an infrastructure engineer at heart and an aspiring software developer who is passionate about teaching…
 
What’s the distinction between the Spring Framework and Spring Boot? If you are building a car, the Spring Framework is the engine while Spring Boot gives you the vehicle that you ride in. With experience teaching and answering questions on how to use Spring and Apache Kafka® together, Viktor Gamov (Principal Developer Advocate, Kong) designed a fr…
 
Viktor Farcic, the Developer Advocate at Upbound, discusses why empowering developers to manage the full application lifecycle helps app development teams increase efficiency. Learn more about Crossplane: https://github.com/crossplane/crossplane Contact Viktor for more information: https://twitter.com/vfarcic Subscribe to get email alerts for the l…
 
When you order a pizza, what if you knew every step of the process from the moment it goes in the oven to being delivered to your doorstep? Event-Driven Architecture is a modern, data-driven approach that describes “events” (i.e., something that just happened). A real-time data infrastructure enables you to provide such event-driven data insights i…
 
Autonomy is key in building a sustainable and motivated team, and this core principle also applies to DevOps. Building self-serve Apache Kafka® and Confluent Platform deployments require a streamlined process with unrestricted tools—a centralized processing tool that allows teams in large or mid-sized organizations to automate infrastructure change…
 
In this Kongcast episode, Liz Fong-Jones, principal developer advocate at Honeycomb, introduces us to the concept of error budgets for service-level objectives (SLOs) and demonstrates how to accelerate software delivery with observability. Learn more about service reliability and observability on Honeycomb's blog at hny.co/blog. Check out the previ…
 
Kafka Connect is a streaming integration framework between Apache Kafka® and external systems, such as databases and cloud services. With expertise in ksqlDB and Kafka Connect, Robin Moffatt (Staff Developer Advocate, Confluent) helps and supports the developer community in understanding Kafka and its ecosystem. Recently, Robin authored a Kafka Con…
 
📣 It’s official 🦍 We’re launching a new series with Viktor Gamov and Kaitlyn Barnard called Kongcast! We'll 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 distributed architectures to the next level. We go beyond the buzzword…
 
As one of the top coders of her Java coding class in high school, Twesha Modi is continuing to follow her passion for computer science as a senior at Cornell University, where she has proven to be one of the top programmers. During Twesha's summer internship at Confluent, she contributed to designing a new service to automate Apache Kafka® cluster …
 
Apache Kafka® 3.0 is out! To spotlight major enhancements in this release, Tim Berglund (Apache Kafka Developer Advocate) provides a summary of what’s new in the Kafka 3.0 release from Krakow, Poland, including API changes and improvements to the early-access Kafka Raft (KRaft). KRaft is a built-in Kafka consensus mechanism that’s replacing Apache …
 
A developer community brings people with shared interests and purpose together. The fundamental elements of a community are to gather, learn, support, and create opportunities for collaboration. A developer community is also an effective and efficient instrument for exploring and solving problems together. The power of a community is its endless ad…
 
The data mesh architectural paradigm shift is all about moving analytical data away from a monolithic data warehouse or data lake into a distributed architecture—allowing data to be shared for analytical purposes in real time, right at the point of origin. The idea of data mesh was introduced by Zhamak Dehghani (Director of Emerging Technologies, T…
 
Note: This episode was recorded when Cluster Linking was in preview mode. It’s now generally available as part of the Confluent Q3 ‘21 release on August 17, 2021. Infrastructure needs to react in real time to support globally distributed events, such as cloud migration, IoT, edge data collection, and disaster recovery. To provide a seamless yet clo…
 
What does a ride-hailing app that offers micromobility and food delivery services have to do with data in motion? In this episode, Ruslan Gibaiev (Data Architect, Bolt) shares about Bolt’s road to adopting Apache Kafka® and ksqlDB for stream processing to replicate data from transactional databases to analytical warehouses. Rome wasn't built overni…
 
Monolithic applications present challenges for organizations like Saxo Bank, including difficulties when it comes to transitioning to cloud, data efficiency, and performing data management in a regulated environment. Graham Stirling, the head of data platforms at Saxo Bank and also a self-proclaimed recovering architect on the pathway to delivery, …
 
ksqlDB makes it easy to read, write, process, and transform data on Apache Kafka®, the de facto event streaming platform. With simple SQL syntax, pre-built connectors, and materialized views, ksqlDB’s powerful stream processing capabilities enable you to quickly start processing real-time data at scale. But how does ksqlDB work? In this episode, Mi…
 
Building a large, stateful Kafka Streams application that tracks the state of each outgoing email is crucial to marketing automation tools like Mailchimp. Joining us today in this episode, Mitch Seymour, staff engineer at Mailchimp, shares how ksqlDB and Kafka Streams handle the company’s largest source of streaming data. Almost like a post office,…
 
The best-informed business insights that support better decision-making begin with data collection, ahead of data processing and analytics. Enterprises nowadays are engulfed by data floods, with data sources ranging from cloud services, applications, to thousands of internal servers. The massive volume of data that organizations must process presen…
 
Stream processing has become an important part of the big data landscape as a new programming paradigm to implement real-time data-driven applications. One of the biggest challenges for streaming systems is to provide correctness guarantees for data processing in a distributed environment. Guozhang Wang (Distributed Systems Engineer, Confluent) con…
 
Using large amounts of streaming data increasingly requires interactive, real-time analytics and dashboards—and this applies to any industry, including tech. CTO and Co-Founder of Rockset Dhruba Borthakur shares how his company uses Apache Kafka® to perform complex joins, search, and aggregations on streaming data with low latencies. The Kafka data…
 
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