Episodios

  • Ep 20 - One Solution, Infinite Value: How SecurityScorecard Put Confluent at the Center of Everything
    Mar 31 2026
    What happens when a security intelligence company decides that data contracts aren't optional, they're the foundation? For SecurityScorecard, that decision changed everything: how teams share data, how pipelines are built, and how quickly a new engineer can ship production-grade work on day one. In this episode, Brandon Brown, Senior Engineering Manager, and Manan Monga, Senior Software Engineer at SecurityScorecard, join host Joseph Morais to walk through their multi-year journey from batch snapshots and MSK to a fully schema-governed, event-driven platform on Confluent Cloud. They cover how Protobuf and Schema Registry became the organization's shared language for data, how Apache Flink® pipelines now power real-time CVE enrichment across 12 Kafka topics, and how Kafka became the undisputed single source of truth for data across teams. You'll Learn: How SecurityScorecard used schema-first design and Protobuf to eliminate downstream data drift and reduce processing time from days to near real-timeWhy shifting data logic left—into Kafka and Flink—freed downstream consumers from replicating brittle query logic and reduced cross-team dependenciesHow Confluent Cloud's managed infrastructure, Terraform provider, and Schema Registry gave a lean engineering team the operational leverage to focus on product, not plumbing About the Guests: Brandon Brown, Senior Engineering Manager Engineer, Scoring SecurityScorecard – Brandon Brown is a Senior Engineering Manager at SecurityScorecard where he leads the team who provide the scores at the core of our ratings platform. These scores guide cybersecurity leaders worldwide in reducing their risk and addressing risk in their vendors. His team also drives secure data sharing and advances company-wide adoption of streaming technologies. With 10+ years of experience in software development, Brandon has experience across the full SDLC specializing in Data Pipelines over the last 8+ years. His language of choice is Scala but he has a soft spot for SQL. He’s contributed to top open source projects such as Debezium and was an early contributor to the ZIO ecosystem. He’s passionate about Kafka and Hybrid Data Pipeline strategies. Outside of work he’s helping raise his young son and catching live music or talking about movies.Manan Monga is Senior Software Engineer at SecurityScorecard, building real-time pipelines that stream threat intelligence into the SCDR platform. With experience in SIEM, cloud security, and distributed systems, along with an MS in Computer Science and Cybersecurity from Boston University, he's passionate about performant data at scale. Java is his go-to, but Kafka has his heart. When he's not optimizing pipelines, he's reading sci-fi, cooking, or out cruising in his convertible. Guest Highlight: "It was like a weekend to process one day, and that was if the Scala service didn't die while it was running… friends don't let friends ignore schemas. Schemas all the way down." — Brandon Brown, SecurityScorecard Chapters: [00:50] Guest Introduction + SecurityScoreCard Overview [07:00] Segment 1: Data Streaming Goodness [23:20] Segment 2: Beyond the Stream [42:40] Segment 3: Quick Bytes [45:20] Segment 4: Joseph’s Top Takeaways Dive Deeper into Data Streaming: EP1—Stream On: Unleashing Innovation With Data Streaming | Life Is But A StreamEP2—Processing Without Pause: Continuous Stream Processing and Apache Flink® | Life Is But A StreamEP3—The Connective Tissue: Shift Left to Turn Data Chaos to Clarity | Life Is But A Stream Links & Resources: Connect with Joseph: @thedatagiantJoseph’s LinkedIn: linkedin.com/in/thedatagiantBrandon’s LinkedIn: https://www.linkedin.com/in/brandon-brown-8529681b/Manan’s LinkedIn: https://www.linkedin.com/in/manan-monga/The Ultimate Data Streaming Guide - Second Edition: https://www.confluent.io/resources/ebook/streaming-use-case-guide/?utm_campaign=tm.fm-ww_cd.2026-usecase-book-podcast-nbas&utm_source=youtube&utm_medium=podcast Our Sponsor: Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    48 m
  • Ep 19 - How CARIAD Powers Software-Defined Vehicles with Real-Time Data Streaming
    Mar 17 2026
    45 million vehicles, 90 markets, 12+ iconic brands, each with its own data silos, standards, and infrastructures. In this episode, Chetan Alatagi, Solution Architect reveals how they transitioned from fragmented legacy ETL silos to a Unified Data Ecosystem—a global data streaming highway that turns vehicle telemetry into real-time value. Chetan joins Joseph to go under the hood of a multi-region, multi-cloud architecture powered by Apache Kafka® and Confluent Cloud that ingests petabytes of vehicle telemetry, enforces data governance from edge to cloud, and powers mission-critical use cases like real-time emergency services, friction data alerts, and automated compliance across the entire Volkswagen Group. You'll Learn: How CARIAD ingests, governs, and distributes vehicle data at petabyte scale across a multi-cloud, multi-region architectureWhy Apache Flink® was the best option for stateful processing and how CARIAD balances Confluent Cloud for Apache Flink with self-managed clusters to achieve global flexibility and meet regional regulatory requirementsHow CARIAD migrated multiple brands onto a unified event highway with near-zero data loss through Schema Registry and backward compatibility Whether you’re battling Apache Kafka operational overhead or building a global data mesh, this episode is a blueprint for large-scale platform modernization and real-time fleet analytics. About the Guest: Chetan Alatagi is a Solution Architect in Solution Management at CARIAD, the automotive software company of the Volkswagen Group. He works within CARIAD's Connecting Cloud division on the Data and AI Platform, where his team is focused on unleashing vehicle data through a Unified Data Ecosystem that powers connected, intelligent experiences for brands across the VW Group portfolio. He is a certified SAFe 5 Architect. Guest Highlight: "We chose a neutral event highway and migrated brand by brand, easing integration with simple configuration and easy onboarding. We upheld security standards, delivered on time, and enabled a switch with almost no data loss." – Chetan Alatagi Episode Timestamps: [00:47] Guest Introduction + CARIAD Overview [06:10] Segment 1: Data Streaming Goodness [19:52] Segment 2: Beyond the Stream [43:36] Segment 3: Quick Bytes [51:00] Segment 4: Joseph’s Top Takeaways Dive Deeper into Data Streaming: EP1—Stream On: Unleashing Innovation With Data Streaming | Life Is But A StreamEP2—Processing Without Pause: Continuous Stream Processing and Apache Flink® | Life Is But A StreamEP3—The Connective Tissue: Shift Left to Turn Data Chaos to Clarity | Life Is But A Stream Links & Resources: Connect with Joseph: @thedatagiantJoseph’s LinkedIn: linkedin.com/in/thedatagiantChetan’s LinkedIn: linkedin.com/in/chetan-alatagi-14646316/The Ultimate Data Streaming Guide - Second Edition: https://www.confluent.io/resources/ebook/streaming-use-case-guide/?utm_campaign=tm.fm-ww_cd.2026-usecase-book-podcast-nbas&utm_source=youtube&utm_medium=podcast Try Confluent Cloud: https://www.confluent.io/confluent-cloud/tryfree/?utm_source=simplecast&utm_medium=podcast&utm_id=tm.content_life-is-but-a-stream-cariadLearn more at Confluent.io https://www.confluent.io/life-is-but-a-stream-show/?utm_source=simplecast&utm_medium=podcast&utm_id=tm.content_life-is-but-a-stream-cariad Our Sponsor: Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    54 m
  • Ep 18 - Building a Central Nervous System: Why Busie Put Real-Time Data at Its Core
    Feb 10 2026

    How is it possible to order groceries to your doorstep in seconds, yet still have to fax a signed contract and deliver a physical check to book a bus?

    For Busie, the answer wasn’t just building a marketplace, it was building the underlying infrastructure from the ground up. By adopting a central nervous system approach to data, their lean engineering team has modernized a legacy industry, replacing manual workflows with real-time ecommerce and automated operations.

    In this episode, our host, Joseph, sits down with Brady Perry, Co-founder and CTO of Busie, to discuss the transformation from point-to-point REST APIs to fully decoupled, event-driven architecture. Brady shares the pragmatic “buy vs. build” logic that allowed them to offload Kafka management to Confluent Cloud, freeing his team to focus on solving customer pain points rather than managing infrastructure.

    You’ll Learn:

    • How event-driven architecture enables loose coupling and always-on systems
    • Why data streaming became the architectural centerpiece for a lean engineering team
    • Why a small startup team chose managed Kafka to accelerate delivery and shift focus from ops to value

    About the Guest:
    Brady Perry is the Co-Founder & CTO at Busie, and is a technology entrepreneur focused on solving outdated problems with modern software solutions. A self-taught software developer, Brady brings hands-on experience across TypeScript, JavaScript, React, Python, Django, HTML, and CSS, along with expertise in multiple PLC scripting languages. His background spans both software and operational systems, giving him a practical perspective on building scalable, real-world platforms.

    Guest Highlight:

    “Data streaming has actually become sort of the centerpiece of the architecture that we’ve built… the stream becomes the API. That’s where the definition is. That’s where the contract is.”

    Episode Timestamps:
    07:20 – Data Streaming Goodness
    19:30 – Beyond the Stream
    39:30 – Quick Bytes
    45:15 – Joseph’s Top Takeaways

    Dive Deeper into Data Streaming:

    • EP1—Stream On: Unleashing Innovation With Data Streaming | Life Is But A Stream
    • EP2—Processing Without Pause: Continuous Stream Processing and Apache Flink® | Life Is But A Stream
    • EP3—The Connective Tissue: Shift Left to Turn Data Chaos to Clarity | Life Is But A Stream

    Links & Resources:

    • Connect with Joseph: @thedatagiant
    • Joseph’s LinkedIn: linkedin.com/in/thedatagiant
    • Brady’s LinkedIn: linkedin.com/in/brady-perry
    • Building a Charter Platform From the Ground Up:
      • https://www.confluent.io/blog/busie-building-a-charter-platform/?utm_source=simplecast&utm_medium=podcast&utm_id=tm.content_life-is-but-a-stream-busie
    • Learn more at Confluent.io

    Our Sponsor:
    Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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    49 m
  • Ep 17 - 2026 Predictions: What's Next for Data Streaming and AI
    Jan 27 2026
    AI isn’t just evolving—it’s reshaping who your customers are, how systems operate, and what real time really means. From machines making purchase decisions to agents increasing query volume across databases, the realities of 2026 are forcing leaders to rethink data architecture and governance strategies at a fundamental level. In this episode, Joseph is joined by Will LaForest (Field CTO, Confluent), Adi Polak (Director of Developer Advocacy & Experience, Confluent), and independent analyst, Sanjeev Mohan, to break down critical insights from Confluent’s 2026 Predictions Report. Together, they explore how agentic AI will transform digital commerce, why Model Context Protocol is quickly becoming table stakes, and how context engineering is emerging as the next major unlock for AI systems. The conversation also dives into the acceleration of AI-enabled cybercrime, why enterprises can no longer dismiss data governance, how Apache Iceberg™ is quickly becoming the standard in cold data management, and much more.If you’re navigating AI and data streaming, this episode offers a grounded, opinionated take on what’s coming next—and how technologies like Apache Kafka® and Apache Flink® will shape what you need to do now. About the Guests:Will LaForestWill is Field CTO for Confluent. Will works with customers across a broad spectrum of industries and government, enabling them to realize the benefits of a data in motion architecture with event streaming. He is passionate about data technology innovation and has spent 26 years helping customers wrangle data at massive scale. His technical career spans diverse areas from software engineering, NoSQL, data science, cloud computing, machine learning, and building statistical visualization software but began with code slinging at DARPA as a teenager. Will holds degrees in mathematics and physics from the University of Virginia. Adi PolakAdi is the Director of Advocacy and Developer Experience Engineering at Confluent. For most of her professional life, she has worked with data and machine learning for operations and analytics. As a data practitioner, she developed algorithms to solve real-world problems using machine learning techniques and expertise in Apache Spark, Kafka, HDFS, and distributed large-scale systems.Adi has taught how to scale machine learning systems to thousands of practitioners, and is the author of successful books: Scaling Machine Learning with Spark and High Performance Spark 2nd Edition.Sanjeev MohanSanjeev is a recognized thought leader in cloud technologies, modern data architectures, analytics, and artificial intelligence. With a keen focus on emerging trends and technologies, Sanjeev hosts It Depends podcast and authors regular Medium blogs. He is also the author of Data Product for Dummies.Formerly a Vice President at Gartner, Sanjeev was renowned for his in-depth research and strategic insights, shaping the research agenda for data and analytics globally. Over the past three years, he has led SanjMo, a consultancy specializing in technical advisory services that elevate category and brand awareness for clients.Guest Highlights:“There was already an asymmetric relationship between attackers and defenders. This just increases that, because it’s easier to use AI to attack than it is to use it to defend.” — Will LaForest“We’re about to accidentally DDoS our software and databases, because we’re giving a tool to automate things without thinking if our systems are actually ready for it.” — Adi Polak“Your proprietary data is your only moat. Everything else—models, performance, tooling—will keep changing.” — Sanjeev MohanEpisode Timestamps: 03:40 – Predictions Report Overview05:05 – Prediction 1: The Rise of Agentic Commerce: Machines Are Your New Customers12:45 – Prediction 2: Leading Platforms Will Offer Model Context Protocol18:00 – Prediction 3: Context Engineering Is the Next AI Unlock24:15 – Prediction 4: AI Will Apply Increased Pressure to Existing Databases30:10 – Prediction 5: AI Will Drive Cyber Crime to Unprecedented Levels36:15 – Prediction 6: AI Will Accelerate Enterprise Investment in Data Governance43:25 – Prediction 7: Apache Iceberg™ Will Become the Standard for Cost-Effective Cold Data Management49:20 – Prediction 8: Your AI Strategy Will Need an Independent Data Plane to Avoid Overcommitting55:00 – Prediction 9: Early Adopters of Durable Execution Engines Will Gain a Competitive AI Edge1:00:01 – Prediction 10: Improvements in Generative AI Will Help Businesses Finally Address Legacy Tech DebtDive Deeper into Data Streaming:EP1—Stream On: Unleashing Innovation With Data Streaming | Life Is But A StreamEP2—Processing Without Pause: Continuous Stream Processing and Apache Flink® | Life Is But A StreamEP3—The Connective Tissue: Shift Left to Turn Data Chaos to Clarity | Life Is But A StreamLinks & Resources:Confluent’s 2026 Predictions Report...
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    1 h y 11 m
  • Ep 16 - Infinite Scale, No Outages: How MarketAxess Modernized Trading Infrastructure With Confluent
    Jan 13 2026

    Legacy systems don’t have to hold you back. In high-volume markets where milliseconds matter, MarketAxess—an electronic trading platform for institutional investors—needed a way to scale trade data reliably across on-prem systems and the cloud. That journey—from self-managed Apache Kafka® to MSK to Confluent Cloud—reshaped how their engineering teams build, scale, and govern real-time infrastructure.

    In this episode, Andy Steinmann, Software Engineering Manager at MarketAxess, breaks down how his team evolved from a monolithic, socket-driven architecture to a streaming-first platform. He shares why Kafka became the foundation of their 2.0 strategy, how Confluent Cloud eliminated operational drag during peak trading windows, and what it takes to modernize without disrupting a mission-critical financial ecosystem.

    You’ll learn:

    • How MarketAxess scaled real-time trade flows across on-prem and the cloud
    • How Confluent Cloud eliminated outages and operational bottlenecks
    • How to approach modernization through iterative “2.0” patterns and dark deployments

    If you’re ready to explore hybrid connectivity, governance, performance tuning, and the operational realities of scaling market-data workloads, this is the episode for you.

    About the Guest:
    Andy Steinmann, Software Engineering Manager at MarketAxess, is a seasoned software engineer with 20+ years of experience in web, mobile, and backend technologies delivering proven solutions to thousands of users. Andy has been the technical lead/architect on many teams and participated in implementing and adapting agile methodologies to improve productivity.

    Guest Highlights:
    “One of the big benefits of the partnership with Confluent has not only been the zero cluster outages—but the bigger side of it was really the access to the experts… Somebody to walk that journey with you as opposed to just starting with a Google search or a ChatGPT question.”

    Episode Timestamps:
    3:20 – Data Streaming Goodness
    20:20 – Beyond the Stream
    36:15 – Quick Bytes
    43:15 – Joseph’s Top Takeaways

    Dive Deeper into Data Streaming:

    • EP1—Stream On: Unleashing Innovation With Data Streaming | Life Is But A Stream
    • EP2—Processing Without Pause: Continuous Stream Processing and Apache Flink® | Life Is But A Stream
    • EP3—The Connective Tissue: Shift Left to Turn Data Chaos to Clarity | Life Is But A Stream

    Links & Resources:

    • Connect with Joseph: @thedatagiant
    • Joseph’s LinkedIn: linkedin.com/in/thedatagiant
    • Learn more at Confluent.io

    Our Sponsor:
    Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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    46 m
  • Best of 2025: Everything You Missed in 15 Minutes
    Dec 16 2025

    In 2025, real-time data moved from important to mission-critical. From billion-event pipelines to AI agents reasoning over fresh data streams, the conversations this year revealed just how fast organizations are rethinking their data infrastructure and what’s possible when data streaming becomes the foundation.

    In this episode, Joseph Morais curates standout moments from the year: the stakes of real-time data, the architectural decisions behind enterprise-grade streaming, and how AI strategy is shifting toward agentic, event-driven systems. You’ll hear leaders discuss architectures designed for zero data loss, solid governance, multi-agent orchestration, and why organizations choose Confluent as the data streaming platform for data streaming at scale.

    You’ll learn:

    • How enterprises use Apache Kafka® and Apache Flink® to meet mission-critical guarantees like reliability and data integrity
    • Why real-time pipelines matter for agentic AI and fresh-signal reasoning
    • What leaders evaluate when choosing a data streaming platform
    • How to prepare architectures for multi-agent systems and 2026 AI roadmaps

    The Guests:

    • Cosmo Wolfe, CTO, Metronome
    • Chris Kapp, Software Architect, HS1 (Henry Schein One)
    • Alex Haugland , Cursor Engineer, Anysphere
    • Steffen Hoellinger, Co-Founder & CEO, Airy
    • Ethan Chan, Co-Founder & CEO, Allium
    • Joe Pardi, Sr. Director of Global Data Engineering, Covetrus
    • Rami Al Lolah, Lead Architect - Integration Center of Excellence, Swedbank
    • Sean Falconer, Sr. Director, Product Management - AI Strategy, Confluent
    • Jeffrey Jonathan Jennings (J3), Founder, signalRoom
    • Todd Smitala, Lead Engineer, Association of Professional Flight Attendants

    Guest Highlights:
    “We are processing events on a second-level latency end-to-end… it'll show up on your end customer's invoice in sub-seconds, and you're cutting users off for fraud, all done exactly once.” — Cosmo Wolfe, Metronome

    “Security loves us, right? Because everything is immutable. We know who did everything and we know who can access what and who has been accessing what.” — Chris Kapp, HS1 (Henry Schein One)

    “These are not dashboards… If you want to transform your business and take a proactive approach, reacting to signals as they’re happening, you need to shift your mindset and move data responsibilities left.” — Sean Falconer, Confluent

    Episode Timestamps:
    *(00:00) - Looking Back at Data Streaming in 2025
    *(00:38) -  Segment 1: Unique Streaming Use Cases
    *(06:05) - Segment 2: The Power of Partnerships
    *(11:23) - Segment 3: Data Streaming and Real-Time AI

    Dive Deeper into Data Streaming:

    • EP1—Stream On: Unleashing Innovation with Data Streaming | Life Is But A Stream
    • EP2—Processing Without Pause: Continuous Stream Processing and Apache Flink® | Life Is But A Stream
    • EP3—The Connective Tissue: Shift Left to turn Data Chaos to Clarity | Life Is But A Stream

    Links & Resources:

    • Connect with Joseph: @thedatagiant
    • Joseph’s LinkedIn: linkedin.com/in/thedatagiant
    • Learn more at Confluent.io

    Our Sponsor:
    Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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    18 m
  • Ep 15 - Inside Saudi Arabia's Real-Time AI Evolution
    Dec 2 2025
    Saudi Arabia is rapidly emerging as a global AI powerhouse, a transformation fueled by a fundamental shift in how data is managed, processed, and activated. Mohamed Ahmed Anwar, General Manager of Presales at (sccc by stc) Saudi Cloud Computing Company, explains why they adopted Confluent’s data streaming platform: cyber resilience and security, strong governance, and scalability paired with simplified operations at enterprise scale. Anwar unpacks why data streaming is foundational to modern AI, from launching model-as-a-service offerings to enabling agentic architectures. He highlights how sccc by stcs strategic partnership with Confluent delivers value extending far beyond open source Apache Kafka®, including connectors, governance with schemas, Kubernetes-based deployment, self-balancing clusters, and Cluster Linking that make enterprise operations tractable without an “army of engineers”.You’ll Learn:How sccc by stc uses Confluent to deliver a managed data streaming platform that powers AI use cases while maintaining performance, security, and control across public and private sectors Why data governance, local compliance, and operational scalability are are critical within Saudi ArabiaWhat makes real-time platforms indispensable for enhanced customer experience and operational agilityHow data streaming transforms traditional batch into dynamic, scalable AI architectures (e.g., RAG and agentic systems) by ensuring fresh, trustworthy data About the Guest:Mohamed Ahmed Anwar is a seasoned technology leader with over 18 years of experience driving innovation across the IT industry. He has held leadership roles at global tech giants including Microsoft, Dell Technologies, and Pure Storage, where he led complex digital transformation initiatives with a focus on delivering business impact. Currently, he serves as the General Manager of Presales at sccc by stc, where he drives strategic efforts to empower Saudi organizations through advanced cloud services, accelerating their growth and digital modernization.Throughout his career, Anwar has led initiatives in data analytics, cloud adoption, and artificial intelligence, enabling organizations to harness the power of emerging technologies. His passion for mentorship and team development is reflected in his dedication to nurturing talent and building resilient, future-ready teams. Anwar is driven by a belief in the transformative potential of technology, consistently working to bridge strategic vision with practical execution to deliver meaningful, lasting impact. Guest Highlight: “Batch computing is like getting your water from a water well. You have a bucket and are governed by the size of the bucket and by the speed and the strength in your arms while in the data stream. On a streaming platform, you have a stream of data. You govern it. You know how exactly you will direct this stream of data, how you will store it and so on. This actually affected the time-to-value for our customers.”Episode Timestamps:1:00 — Guest introduction & company overview5:55 — Segment 1: Data Streaming Goodness14:05 — Segment 2: Beyond the Stream26:50 — Segment 3: Quick Bytes30:15 — Joseph’s Top TakeawaysDive Deeper into Data Streaming:EP1—Stream On: Unleashing Innovation with Data StreamingEP2—Processing Without Pause: Continuous Stream Processing and Apache Flink®EP3—The Connective Tissue: Shift Left to turn Data Chaos to ClarityLinks & Resources:Connect with Joseph: @thedatagiantsccc by stc: https://www.youtube.com/@sccc_bystc/videosJoseph’s LinkedInAnwar’s LinkedInLearn more at Confluent.ioOur Sponsor: Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    33 m
  • LIVE from Current NOLA: Scaling Streaming in the AI Era
    Nov 20 2025
    From the heart of the expo hall at Current NOLA, this special episode drops you into the conversations, energy, and the breakthroughs as they happened.Host, Joseph Morais, and co-host, Adi Polak talk with data streaming leaders and community voices to unpack how teams are using Apache Kafka® and Apache Flink® to power low-latency, AI-ready applications—covering patterns from usage-based billing and hybrid operations to cost efficiency and streaming governance. You’ll also hear how shift-left processing and governance make AI-ready data possible at scale. Plus, we break down key launches, including Queues for Kafka, Confluent Private Cloud, the Real-Time Context Engine for AI, and more.You’ll learn:How modern architectures power real-time billing, entitlements, and fraud detectionWhy exactly-once processing and stateful workloads matter at scaleHow Unified Stream Manager and Confluent Private Cloud simplify hybrid, multi-cluster operations with a single pane of glassHow Real-Time Context Engine serves governed, low-latency context to agentic AI via MCPThe Hosts:Joseph Morais, Technical Champion, Confluent Adi Polak, Director of Advocacy and Developer Experience Engineering, ConfluentThe Guests:Cosmo Wolfe, CTO, Metronome  Kevin Balaji, Sr. Director, Product Marketing, ConfluentAdam Bellemare, Principal Technologist, ConfluentSam Barker, Principal Software Engineer, IBMOlena Kutsenko, Staff Developer Advocate, ConfluentScott Haines, O’Reilly Author and OSS EducatorGuest Highlights: “If your company is shifting to be more nimble with monetization and especially if you're switching to more of a consumption based model, then the underlying systems have to be real time to support that.” — Cosmo Wolfe, Metronome“So many customers out there…they are running in Amazon and in their data center and somewhere else. They're all looking for ways to monitor and manage all these different clusters in one way.” — Kevin Balaji, Confluent “There's a reason we call it time travel—because we're going back to a prior point in history to replay data and do something else with it.” — Scott Haines, O’Reilly Author and OSS EducatorEpisode Timestamps: 01:00 — Cosmo Wolfe, CTO, Metronome 17:10 —  Kevin Balaji, Sr. Director, Product Marketing, Confluent28:40 — Adam Bellemare, Principal Technologist, Confluent43:15 — Sam Barker, Principal Software Engineer, IBM50:30 — Olena Kutsenko, Staff Developer Advocate, Confluent01:05:00 — Scott Haines, O’Reilly Author and OSS EducatorDive Deeper into Data Streaming:EP1—Stream On: Unleashing Innovation with Data Streaming | Life Is But A StreamEP2—Processing Without Pause: Continuous Stream Processing and Apache Flink® | Life Is But A StreamEP3—The Connective Tissue: Shift Left to turn Data Chaos to Clarity | Life Is But A StreamLinks & Resources:Connect with Joseph: https://www.youtube.com/@thedatagiantJoseph’s LinkedIn: linkedin.com/in/thedatagiantAdi’s LinkedIn: https://www.linkedin.com/in/polak-adi/Keynote: Building Intelligent Systems on Real-time DataWatch Current On Demand: https://current.confluent.io/archive/2025/new-orleans?utm_source=simplecast&utm_medium=podcast&utm_id=tm.content_life-is-but-a-streamContext-Driven AI Reigned Supreme at Current New Orleans: https://www.confluent.io/blog/context-driven-ai-current-new-orleans/?utm_source=simplecast&utm_medium=podcast&utm_id=tm.content_life-is-but-a-streamBuilding Event-Driven Microservice (2E): https://www.confluent.io/resources/ebook/building-event-driven-microservices-2e/?utm_source=simplecast&utm_medium=podcast&utm_id=tm.content_life-is-but-a-streamLearn more at Confluent.ioOur Sponsor: Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    1 h y 19 m