Podcasts about Microservices

Hand aufs Herz: Wie viele Domains hast du gekauft, die heute nur noch als jährliche Renew Mail existieren? Genau mit diesem Reality Check steigen wir ein und biegen dann scharf ab: nicht Webdomains, sondern Domain Driven Design.In dieser Episode machen wir DDD greifbar, ohne dass du direkt ein 560-Seiten-Buch heiraten musst. Wir klären, welches Problem Domain Driven Design eigentlich löst, warum Teams in großen Systemen so oft in Spaghetti Code, technische Schulden und Kommunikationschaos rutschen und weshalb eine Ubiquitous Language, also eine gemeinsame, allgegenwärtige Sprache, oft der erste echte Hebel ist.Danach geht es ans strategische Design: Bounded Contexts, Context Mapping, Schnittstellen zwischen Teams und warum das verdächtig nah an Conway's Law, APIs und realen Teamstrukturen ist. Und ja, wir schauen auch auf die taktische Seite: Value Objects, Entities, Aggregates, Repositories, Domain Events, plus der Klassiker aus der Anti-Pattern-Ecke: das anämische Domänenmodell.Wir sprechen außerdem darüber, wie du pragmatisch startest, auch in bestehenden Codebasen, wer das im Team treiben kann, und warum Konsistenz im Naming gerade mit LLMs und AI Coding Tools plötzlich noch mehr zählt als früher.Wenn du wissen willst, ob DDD wirklich Enterprise Buzzword Bingo ist oder einfach der Name für verdammt gute Softwarearchitektur, dann bleib dran.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Larry Swanson, a knowledge architect, community builder, and host of the Knowledge Graph Insights podcast. They explore the relationship between knowledge graphs and ontologies, why these technologies matter in the age of AI, and how symbolic AI complements the current wave of large language models. The conversation traces the history of neuro-symbolic AI from its origins at Dartmouth in 1956 through the semantic web vision of Tim Berners-Lee, examining why knowledge architecture remains underappreciated despite being deployed at major enterprises like Netflix, Amazon, and LinkedIn. Swanson explains how RDF (Resource Description Framework) enables both machines and humans to work with structured knowledge in ways that relational databases can't, while Alsop shares his journey from knowledge management director to understanding the practical necessity of ontologies for business operations. They discuss the philosophical roots of the field, the separation between knowledge management practitioners and knowledge engineers, and why startups often overlook these approaches until scale demands them. You can find Larry's podcast at KGI.fm or search for Knowledge Graph Insights on Spotify and YouTube.Timestamps00:00 Introduction to Knowledge Graphs and Ontologies01:09 The Importance of Ontologies in AI04:14 Philosophy's Role in Knowledge Management10:20 Debating the Relevance of RDF15:41 The Distinction Between Knowledge Management and Knowledge Engineering21:07 The Human Element in AI and Knowledge Architecture25:07 Startups vs. Enterprises: The Knowledge Gap29:57 Deterministic vs. Probabilistic AI32:18 The Marketing of AI: A Historical Perspective33:57 The Role of Knowledge Architecture in AI39:00 Understanding RDF and Its Importance44:47 The Intersection of AI and Human Intelligence50:50 Future Visions: AI, Ontologies, and Human BehaviorKey Insights1. Knowledge Graphs Combine Structure and Instances Through Ontological Design. A knowledge graph is built using an ontology that describes a specific domain you want to understand or work with. It includes both an ontological description of the terrain—defining what things exist and how they relate to one another—and instances of those things mapped to real-world data. This combination of abstract structure and concrete examples is what makes knowledge graphs powerful for discovery, question-answering, and enabling agentic AI systems. Not everyone agrees on the precise definition, but this understanding represents the practical approach most knowledge architects use when building these systems.2. Ontology Engineering Has Deep Philosophical Roots That Inform Modern Practice. The field draws heavily from classical philosophy, particularly ontology (the nature of what you know), epistemology (how you know what you know), and logic. These thousands-year-old philosophical frameworks provide the rigorous foundation for modern knowledge representation. Living in Heidelberg surrounded by philosophers, Swanson has discovered how much of knowledge graph work connects upstream to these philosophical roots. This philosophical grounding becomes especially important during times when institutional structures are collapsing, as we need to create new epistemological frameworks for civilization—knowledge management and ontology become critical tools for restructuring how we understand and organize information.3. The Semantic Web Vision Aimed to Transform the Internet Into a Distributed Database. Twenty-five years ago, Tim Berners-Lee, Jim Hendler, and Ora Lassila published a landmark article in Scientific American proposing the semantic web. While Berners-Lee had already connected documents across the web through HTML and HTTP, the semantic web aimed to connect all the data—essentially turning the internet into a giant database. This vision led to the development of RDF (Resource Description Framework), which emerged from DARPA research and provides the technical foundation for building knowledge graphs and ontologies. The origin story involved solving simple but important problems, like disambiguating whether "Cook" referred to a verb, noun, or a person's name at an academic conference.4. Symbolic AI and Neural Networks Represent Complementary Approaches Like Fast and Slow Thinking. Drawing on Kahneman's "thinking fast and slow" framework, LLMs represent the "fast brain"—learning monsters that can process enormous amounts of information and recognize patterns through natural language interfaces. Symbolic AI and knowledge graphs represent the "slow brain"—capturing actual knowledge and facts that can counter hallucinations and provide deterministic, explainable reasoning. This complementarity is driving the re-emergence of neuro-symbolic AI, which combines both approaches. The fundamental distinction is that symbolic AI systems are deterministic and can be fully explained, while LLMs are probabilistic and stochastic, making them unsuitable for applications requiring absolute reliability, such as industrial robotics or pharmaceutical research.5. Knowledge Architecture Remains Underappreciated Despite Powering Major Enterprises. While machine learning engineers currently receive most of the attention and budget, knowledge graphs actually power systems at Netflix (the economic graph), Amazon (the product graph), LinkedIn, Meta, and most major enterprises. The technology has been described as "the most astoundingly successful failure in the history of technology"—the semantic web vision seemed to fail, yet more than half of web pages now contain RDF-formatted semantic markup through schema.org, and every major enterprise uses knowledge graph technology in the background. Knowledge architects remain underappreciated partly because the work is cognitively difficult, requires talking to people (which engineers often avoid), and most advanced practitioners have PhDs in computer science, logic, or philosophy.6. RDF's Simple Subject-Predicate-Object Structure Enables Meaning and Data Linking. Unlike relational databases that store data in tables with rows and columns, RDF uses the simplest linguistic structure: subject-predicate-object (like "Larry knows Stuart"). Each element has a unique URI identifier, which permits precise meaning and enables linked data across systems. This graph structure makes it much easier to connect data after the fact compared to navigating tabular structures in relational databases. On top of RDF sits an entire stack of technologies including schema languages, query languages, ontological languages, and constraints languages—everything needed to turn data into actionable knowledge. The goal is inferring or articulating knowledge from RDF-structured data.7. The Future Requires Decoupled Modular Architectures Combining Multiple AI Approaches. The vision for the future involves separation of concerns through microservices-like architectures where different systems handle what they do best. LLMs excel at discovering possibilities and generating lists, while knowledge graphs excel at articulating human-vetted, deterministic versions of that information that systems can reliably use. Every one of Swanson's 300 podcast interviews over ten years ultimately concludes that regardless of technology, success comes down to human beings, their behavior, and the cultural changes needed to implement systems. The assumption that we can simply eliminate people from processes misses that huma...

Chris Aniszczyk, co-founder and CTO of the Cloud Native Computing Foundation (CNCF), argues that AI agents resemble microservices at a surface level, though they differ in how they are scaled and managed. In an interview ahead of KubeCon/CloudNativeCon Europe, he emphasized that being “AI native” requires being cloud native by default. Cloud-native technologies such as containers, microservices, Kubernetes, gRPC, Prometheus, and OpenTelemetry provide the scalability, resilience, and observability needed to support AI systems at scale. Aniszczyk noted that major AI platforms like ChatGPT and Claude already rely on Kubernetes and other CNCF projects.To address growing complexity in running generative and agentic AI workloads, the CNCF has launched efforts to extend its conformance programs to AI. New requirements—such as dynamic resource allocation for GPUs and TPUs and specialized networking for inference workloads—are being handled inconsistently across the industry. CNCF aims to establish a baseline of compatibility to ensure vendor neutrality. Aniszczyk also highlighted CNCF incubation projects like Metal³ for bare-metal Kubernetes and OpenYurt for managing edge-based Kubernetes deployments. Learn more from The New Stack about CNCF and what to expect in 2026:Why the CNCF's New Executive Director Is Obsessed With InferenceCNCF Dragonfly Speeds Container, Model Sharing with P2PJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Podcast: Tech Transformed PodcastGuest: Manesh Tailor, EMEA Field CTO, New Relic Host: Shubhangi Dua, B2B Tech Journalist, EM360TechAI-driven development has become obsessive recently, with vibe-coding becoming more common and accelerating innovation at an unprecedented rate. This, however, is also leading to a substantial increase in costly outages. Many organisations do not fully grasp the repercussions until their customers are affected.In this episode of the Tech Transformed Podcast, EM360Tech's Podcast Producer and B2B Tech Journalist, Shubhangi Dua, spoke with Manesh Tailor, EMEA Field CTO at New Relic, about why AI-generated code, also called vibe-coding, rapid prototyping, and a focus on speed create dangerous gaps. They also talked about why full-stack observability is now crucial for operational resilience in 2026 and beyond.AI Vibe Code Prioritising Speed over StabilityAI has changed how software is built. Problems are solved faster, prototypes are created in hours, and proofs-of-concept (POC) swiftly reach production. But this speed comes with drawbacks.“These prototypes, these POCs, make it to production very readily,” Tailor explained. “Because they work—and they work very quickly.”In the past, the time needed to design and implement a solution served as a natural filter. However, the barrier has now disappeared.Tailor tells Dua: “The problem occurs, the solution is quick, and these things get out into production super, super fast. Now you've got something that wasn't necessarily designed well.”The outcome is that the new systems work but do not scale. They lack operational resilience and greatly increase the cognitive load on engineering teams.New Relic's research indicates that in EMEA alone:The annual median cost of high-impact IT outages for EMEA businesses is $102 million per yearDowntime costs EMEA businesses an average of $2 million per hourMore than a third (37%) of EMEA businesses experience high-impact outages weekly or more often.Essentially, AI-driven development heightens risks and increases blind spots. “There are unrealised problems that take longer to solve—and they occur more often,” Tailor noted. This is because many AI-generated solutions overlook operability, scaling, or long-term maintenance.Modern architectures were already complex before AI came along. Microservices, SaaS dependencies, and distributed systems scatter visibility across the stack.“We've got more solutions, more technology, more unknowns, all moving faster,” he tells Dua. “That's generated more data, more noise—and more blind spots.”Traditional...

This interview was recorded for GOTO Unscripted.https://gotopia.techCheck out more here:https://gotopia.tech/articles/407Ben Smith - Staff Developer Advocate at StripeJames Beswick - Head of Developer Relations at StripeRESOURCESBenhttps://twitter.com/benjamin_l_shttps://github.com/bls20AWShttps://linkedin.com/in/bensmithportfoliohttp://developeradvocate.co.ukhttps://thewebsmithsite.wordpress.comJameshttps://bsky.app/profile/jbesw.bsky.socialhttps://twitter.com/jbeswhttps://linkedin.com/in/jamesbeswickLinkshttps://stripe.devhttps://serverlessland.comDESCRIPTIONJames Beswick and Ben Smith explore the evolution of modern software architecture. They discuss why workflow services are essential for managing distributed systems, the challenges of microservices versus monoliths, and the power of plugin architectures.The conversation covers practical topics like idempotency, circuit breaker patterns, and the importance of observability, while also diving into what makes a great developer advocate and how to build demos that truly resonate with developers.RECOMMENDED BOOKSSimon Brown • Software Architecture for Developers Vol. 2 • https://leanpub.com/visualising-software-architectureDavid Farley • Modern Software Engineering • https://amzn.to/3GI468MKim, Humble, Debois, Willis & Forsgren • The DevOps Handbook • https://amzn.to/47oAf3lSimon Wardley • Wardley Maps • https://amzn.to/45U8UprSimon Wardley • Wardley Mapping, The Knowledge • https://amzn.to/3XQEeDuDavid Anderson, Marck McCann & Michael O'Reilly • The Value Flywheel Effect • https://amzn.to/3VcHxCMike Amundsen • Restful Web API Patterns & Practices Cookbook • https://amzn.to/3C74fpHBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Rate Limiting klingt erstmal wie ein nerviges Nein. In Wahrheit ist es oft der Unterschied zwischen stabiler Plattform und dem Klassiker: kurz ein bisschen Traffic, und plötzlich ist alles down. Denn Systeme scheitern selten an einem Request, sondern fast immer an zu vielen: Retry Storms nach einem Funkloch, Thundering Herd nach einem Cache-Expire, Traffic Amplification in Microservices oder einfach ein Tenant, der als Noisy Neighbor das ganze Haus wachklingelt.In dieser Episode gehen wir gemeinsam tief ins Reliability- und Resilience-Engineering und bauen Rate Limiting von Grund auf. Wir klären, wozu Rate Limiting wirklich da ist, wie es sich von Back Pressure, Graceful Degradation, Fault Isolation und Load Shedding abgrenzt und wo du es in deiner Architektur verankerst: Client, Edge, API Gateway, Sidecar Proxy wie Envoy oder direkt an Ressourcen wie Datenbanken und Queues.Dann wird es konkret: Wir vergleichen die gängigen Strategien und Algorithmen, Fixed Window, Sliding Window, Token Bucket und Leaky Bucket, inklusive Bursts, Fairness und der Frage stateful vs. stateless. Dazu kommt die Realität: Was machst du, wenn der Rate Limiter selbst ausfällt – Fail Open vs. Fail Closed –, und warum das nicht nur Technik ist, sondern auch Produktmanagement, Monetarisierung und Kundenerlebnis.Als Bonus schauen wir auf Best Practices aus der Praxis: wie GitHub und Cloudflare Rate Limits via HTTP-Header kommunizieren, warum standardisierte Header gerade wieder Fahrt aufnehmen und wieso Rate Limiting bei GraphQL-APIs so schnell zur Kostenberechnung im Query-AST wird.Wenn du danach dein System nicht nur schneller, sondern auch stressresistenter machen willst, bist du hier richtig. Und ja, ein resilientes System darf auch mal Nein sagen, damit es morgen wieder Ja sagen kann.Bonus: Manchmal ist der beste Load Test ein einzelner Curl-Befehl zur falschen Zeit.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

This interview was recorded for GOTO Unscripted.https://gotopia.techCheck out more here:https://gotopia.tech/articles/400David Whitney - Director of Architecture at NewDayIan Cooper - A Polyglot Coding Architect at Just EatHannes Lowette - Principal Consultant at Axxes, Monolith Advocate, Speaker & Whiskey LoverRESOURCESDavidhttps://bsky.app/profile/davidwhitney.co.ukhttp://twitter.com/david_whitneyhttps://www.instagram.com/davidwhitneycoukhttps://github.com/davidwhitneyhttps://www.linkedin.com/in/davidwhitneyhttps://davidwhitney.co.uk/blogIanhttps://bsky.app/profile/icooper.bsky.socialhttps://hachyderm.io/@ICooperhttps://twitter.com/ICooperhttps://www.linkedin.com/in/ian-cooper-2b059bhttps://github.com/iancooperhttps://ian-cooper.writeas.comDESCRIPTIONThree experienced software engineers - Ian Cooper, David Whitney, and Hannes Lowette - discuss the evolution of software architecture from traditional "ivory tower" approaches to modern, collaborative practices. The conversation explores the tension between emergent and designed architecture, the importance of sustainable versus "slash-and-burn" development approaches, and how architectural decisions scale with organizational growth.Key themes include the critical role of communication and coaching in architecture, the dangers of pattern cargo-culting, and the fundamental reality that all architectural challenges are ultimately people problems requiring empathy, shared language, and cultural change.RECOMMENDED BOOKSBarry O'Reilly • Residues • https://leanpub.com/residualityBarry O'Reilly • The Architect's Paradox • https://leanpub.com/architectsparadoxDiana Montalion • Learning Systems Thinking • https://amzn.to/3ZpycdJSam Newman • Monolith to Microservices • https://amzn.to/2Nml96ERonnie Mitra & Irakli Nadareishvili • Microservices: Up and Running• https://amzn.to/3c4HmmLJacqui Read • Communication Patterns • https://amzn.to/3E37lvvVaughn Vernon & Tomasz Jaskula • Strategic Monoliths & Microservices • https://amzn.to/3AcUscjHow Hacks HappenHacks, scams, cyber crimes, and other shenanigans explored and explained. Presented...Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode of Hands-On IT, Landon Miles explores the history of servers and enterprise IT infrastructure, from early mainframe computers to cloud computing, Linux servers, virtualization, containers, and AI-driven data centers.This episode connects decades of server evolution into a clear, accessible story, focusing on the people, technologies, and ideas that shaped modern computing. From IBM's System/360 and minicomputers, to Unix and Linux, virtualization, cloud platforms like AWS and Azure, and container orchestration with Docker and Kubernetes, this episode explains how servers became the foundation of today's digital world.Topics covered include: • Server history and early computing systems • IBM mainframes and enterprise computing • Minicomputers and distributed computing • Unix, Linux, and open-source software • Virtualization and data center efficiency • Cloud computing and hyperscale infrastructure • Docker, Kubernetes, and cloud-native architecture • AI workloads, GPUs, and modern server hardwareLandon also highlights key figures in computing history, including Grace Hopper, Ken Olsen, Linus Torvalds, Dave Cutler, Diane Greene, and Jeff Bezos, and explains how their work still influences IT operations today.This episode is part of our December Best Of series, featuring some of our favorite moments and episodes from the past year.Originally aired March 20, 2025.

In dieser Episode Scaling Technology sprechen Stephan Schulze (A11) und Andy Stryz (FINN) über die Realität der Tech-Skalierung. Sie teilen, warum Technologie immer dem Business dienen muss, wie man die Balance zwischen Speed und Qualität findet und warum manchmal ein Monolith besser als Microservices ist. Was du lernst: Technologie & Business: Warum Tech dem Business dient Die richtige Balance finden Wie man Entscheidungen trifft Architektur & Skalierung: Monolith vs. Microservices Wann man was einsetzt Die richtige Timing-Entscheidung Organisation & Teams: Die kritischen Wachstumsphasen Wie man Teams richtig aufbaut Warum Erfahrung entscheidend ist Buy vs. Build: „We buy commodities, we build assets“ Die richtige Entscheidungsfindung Warum Verhandlungen wichtig sind ALLES ZU UNICORN BAKERY: https://stan.store/fabiantausch Mehr zu Andy Stryz und Stephan Schulze: LinkedIn: https://de.linkedin.com/in/andreasstryz https://de.linkedin.com/in/stephan-schulze Website: https://www.finn.com/de-DE https://www.a11.global/ Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/ Kapitel: (00:00:00) Intro: Die Rolle von Technologie im Business (00:06:51) Der größte Fehler: Engineering for the Sake of Engineering (00:09:07) Die richtige Hiring-Strategie für Tech-Teams (00:12:06) Das 10x-Denken: Vorbereitung auf explosives Wachstum (00:12:58) Der Tod des Startups: Techies ohne Business-Verständnis (00:13:49) Deployment-Pipeline als Kennmetrik (00:16:48) Automatisierung bei Finn: Der pragmatische Ansatz (00:19:29) Premature Optimization: Der Killer von Startups (00:26:19) Vision, Strategie und die Org-Chart-Frage (00:46:14) Feature-Sales und der Umgang mit Vertriebsversprechen (00:51:59) Tech-Schulden: Warum Schulden nicht schlecht sind (00:55:12) Make or Buy: Die Entscheidung zwischen Eigenentwicklung und Kauf (00:57:41) Negotiation-Training für Techies (01:06:20) Lessons Learned: Die wichtigsten Erkenntnisse nach 5 Jahren (01:10:44) Die kritische Phase: Von 20 zu 40 Mitarbeitern

Buddhadeb Das Gupta, EVP & Global Head of Payments & Digital Solutions, Yethi ConsultingIncreasing architectural complexity and ever-changing regulatory demands have left the global payments ecosystem at a critical inflection point. Transformation and compliance are now a matter of business survival. Robin Amlôt of IBS Intelligence talks to Buddhadeb ‘Deb' Das Gupta of Yethi Consulting about the economics of competitive positioning and how to build sustainable competitive advantage.

#326: Microservices architecture has evolved far beyond simple distributed systems, but most development teams are still rebuilding the same foundational patterns over and over again. Mark Fussell, co-founder of Dapr and Diagrid, explains how his team at Microsoft identified this repetitive reinvention problem and created a solution that abstracts away the complexity of service discovery, messaging, state management, and security while providing true cloud portability. Dapr emerged from Microsoft's Azure incubations team with a clear mission: stop forcing developers to rebuild distributed systems patterns from scratch. The runtime provides standardized APIs for common microservices needs while allowing teams to swap underlying infrastructure components without changing application code. Whether using Kafka, RabbitMQ, Redis, or cloud-native messaging services, developers write against consistent APIs while platform teams maintain control over infrastructure choices. The conversation covers Dapr's journey from Microsoft internal project to CNCF graduated status, the technical decisions behind its multi-language approach, and how it integrates with existing frameworks like Spring Boot and .NET. Mark also discusses Diagrid's platform play around durable workflows and the emerging role of Dapr in AI agent development. Darin and Viktor explore the practical adoption challenges, the balance between developer productivity and platform engineering concerns, and why experienced developers tend to embrace abstraction layers more readily than those building their first distributed systems.   Mark's contact information: X: https://x.com/mfussell LinkedIn: https://www.linkedin.com/in/mfussell/   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

De afgelopen maanden hebben grote storingen bij Cloudflare, AWS en andere cloudproviders laten zien hoe kwetsbaar onze internetinfrastructuur is. Cloudflare verwerkt 20% van het wereldwijde internetverkeer, maar één verkeerd configuratiebestand kan het halve internet platleggen. In deze aflevering van Techzine Talks duiken we in de oorzaken van deze grootschalige uitval.Opmerkelijk is dat bijna alle grote storingen worden veroorzaakt door menselijke fouten, niet door cyberaanvallen. Van een configuratiebestand met te veel regels bij Cloudflare tot DNS-problemen bij AWS.  Automatisering en configuratiefouten of een combinatie daarvan blijken de grootste kwetsbaarheden. We bespreken waarom deze systemen zo moeilijk te testen zijn en wat de uitdagingen zijn van centralisatie in de cloudinfrastructuur.De impact van deze storingen reikt verder dan alleen de directe klanten. Door de verwevenheid van moderne microservices-architecturen kunnen problemen bij één provider een olievlekwerking hebben op het hele internet. We onderzoeken of meer redundantie en decentralisatie de oplossing zijn, en waarom zelfs AI vooralsnog geen antwoord biedt op deze complexe uitdagingen.Keywords: Cloudflare storing, AWS uitval, internet infrastructuur, DNS problemen, cloud redundantie, configuratiefouten, botmanagement, cybersecurity, automatisering, cloudprovidersChapters:0:10 - Storingen in de infrastructuur0:34 - Cloudflare en internetverkeer2:54 - Menselijke fouten versus cyberaanvallen3:00 - Het configuratieprobleem bij Cloudflare7:16 - AWS DNS-storing8:17 - DNS als telefoonboek van het internet9:49 - Centralisatie en afhankelijkheid15:38 - Testen en preventie uitdagingen

Kennst du das? Neun Klicks sind blitzschnell, der zehnte hängt gefühlt ewig. Genau da frisst die Tail Latency deine User Experience und der Durchschnittswert hilft dir kein bisschen. In dieser Episode tauchen wir in Request Hedging ein, also das bewusste Duplizieren von Requests, um P99 zu drücken und Ausreißer zu entschärfen.Wir starten mit einem kurzen Recap zu Resilience Engineering: Timeouts, Retries, Exponential Backoff, Jitter, Circuit Breaker. Danach gehen wir tief rein ins Hedging: Was ist der Hedge Threshold, warum optimieren wir auf Tail statt Head Latency und wie Perzentile wie P50, P95 und P99 die Sicht auf Performance verändern. Wir zeigen, wie du Hedging sicher umsetzt, ohne dein Backend zu überlasten, wo Idempotenz Pflicht ist und warum Schreibzugriffe besonders heikel sind.In der Praxis klären wir, wie du Requests sauber cancelst: HTTP 1.1 via FIN und Reset, HTTP 2 mit RESET_STREAM, gRPC Support und wie Go mit Context Cancellation nativ hilft. Zum Tooling gibt es echte Beispiele: Envoy als Cloud-native Proxy mit Hedging, gRPC, Open Source Erfahrungen. In der Datenbankwelt sprechen wir über Read Hedging, Quorum Reads und Write-Constraints bei Cassandra und Kafka, über Vitess im MySQL-Universum und Grenzen von PG Bouncer. Auch Caches wie Redis und Memcached sowie DNS Patterns wie Happy Eyeballs sind am Start. Historisch ordnen wir das Ganze mit The Tail at Scale von Jeff Dean ein und schauen, wie Google, Netflix, Uber, LinkedIn oder Cloudflare Hedging verwenden.Am Ende nimmst du klare Best Practices mit: Hedging gezielt auf Tail Latency einsetzen, Requests wirklich canceln, Idempotenz sicherstellen, dynamische Thresholds mit Observability füttern und deine Guardrails definieren.Neugierig, ob Hedging dein P99 rettet, ohne dich selbst zu ddosen? Genau darum geht es.Bonus: Hedgehog hat damit nichts zu tun, auch wenn der Name dazu verführt.Keywords: Resilience Engineering, Request Hedging, Tail Latency, P99, Perzentile, Microservices, HTTP 2, gRPC, Go Context, Observability, Monitoring, Prometheus, Grafana, Envoy, Open Source, Cassandra, Kafka, Vitess, Redis, Memcached, Quorum Reads, Tech Community, Networking.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

SOLID: Single-Responsibility, Open-Closed, Liskovsche Substitution, Interface-Segregation und Dependency-InversionSOLID klingt nach Fels in der Brandung, fühlt sich in der Praxis aber oft nach Abstraktionspyramide an. Brauchen wir die fünf Prinzipien heute noch oder bremsen sie uns beim Time-to-Market aus? In dieser Episode gehen wir genau dieser Frage nach und nehmen dich mit von der nicht ganz offiziellen SOLID-Entstehungsgeschichte über die wichtigsten Prinzipien bis hin zur ehrlichen Einordnung zwischen Clean Code, Teamrealität und AI-Overengineering.Wir starten mit dem S wie Single Responsibility und zerlegen den klassischen UserService: Was gehört rein, was raus, warum Utils-„Mülleimer“ gefährlich sind und wieso Komposition in der Praxis oft die bessere Wahl ist. Danach das O wie Open-Closed mit zwei greifbaren Beispielen: Rabattlogik ohne if-Hölle und Zahlungsanbieter-Design zwischen Switch Case und Strategie. Beim L wie Liskov Substitution wird es historisch und konkret: Barbara Liskov, Turing Award, Rechteck–Quadrat und die Frage, warum protected so oft Kapselung sprengt. Beim I wie Interface Segregation feiern wir kleine, fokussierte Interfaces, Duck Typing und die Go-Philosophie. Und beim D wie Dependency Inversion klären wir den Unterschied zu Dependency Injection, zeigen Injection-Varianten und warum Tests dadurch so viel leichter werden.Wir ordnen ein, wo SOLID glänzt und wo es Grenzen hat: Overengineering durch zu viele Klassen, DI-Container-Magic, ORMs, Microservices als Fehlinterpretation von SRP sowie der gesunde Trade-off zwischen sauberen Contracts und schneller Lieferung. Dazu Teamkultur statt Dogmatismus, Clean Code ohne Religion und die Erkenntnis, dass gute Architektur vor allem durch Datenflüsse, Domain-Zuschnitte und klare Systemgrenzen entsteht.Am Ende bleibt ein pragmatisches Playbook: Komposition über Vererbung, kleine Interfaces, klare Contracts, Injection wo es hilft und bewusstes Brechen von Regeln, wenn der Kontext es fordert.Bonus: Side Project-Idee aus der Community-Ecke. Baue einen Fax-zu-Discord-Bot. Wir integrieren ihn. Versprochen.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview here:https://gotopia.tech/episodes/389Alessandro Colla - Partner & Head of Development at Evoluzione & Co-Author of "Domain-Driven Refactoring"Alberto Acerbis - Software Architect at Intré & Co-Author of "Domain-Driven Refactoring"Xin Yao - Independent Consultant Contextualizing DDD & Sociotechnical ArchitectureRESOURCESAlessandrohttps://www.linkedin.com/in/alessandrocollahttps://www.alessandrocolla.comAlbertohttps://www.linkedin.com/in/aacerbishttps://albertoacerbis.comXinhttps://bsky.app/profile/settling-mud.bsky.socialhttps://www.linkedin.com/in/xinxinLinkshttps://github.com/PacktPublishing/Domain-driven-Refactoringhttps://github.com/BrewUpDESCRIPTIONLegacy code isn't just old - it's a treasure chest of lost business knowledge waiting to be rediscovered. Alessandro Colla and Alberto Acerbis share their battle-tested approach to domain-driven refactoring, explaining why you should start with understanding the business problem before touching a single line of code. Like Michelangelo seeing the statue of David hidden in marble, they show how the right solution already exists within your legacy codebase—you just need the right tools and techniques to set it free.From event storming workshops over beer to modular monoliths as stepping stones, these "double-A battery" developers prove that thoughtful, incremental refactoring beats flashy microservices migrations every time.RECOMMENDED BOOKSColla & Acerbis • Domain-Driven Refactoring • https://amzn.to/3I3I7zfEvans • Domain-Driven Design • https://amzn.to/3tnGhwmVernon • Implementing Domain-Driven Design • https://amzn.to/44r39PBNilsson • Applying Domain-Driven Design and Patterns • https://amzn.to/3GoxYwInspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode of The Engineering Room, Dave Farley speaks with Sam Newman, renowned author of "Building Microservices" and "Monolith to Microservices," about distributed systems, architectural decisions, and the future of software development.-------------------------Sam Newman on "X" (formerly "Twitter"): https://x.com/samnewman?lang=en

This interview was recorded at GOTO Copenhagen 2024.https://gotocph.comMichael Nygard - General Manager of Data at NubankDave Farley - Continuous Delivery & DevOps Pioneer, Award-winning Author, Founder & Director of Continuous Delivery Ltd.RESOURCESMichaelhttps://www.linkedin.com/in/mtnygardhttps://twitter.com/mtnygardhttp://www.michaelnygard.comDavehttps://bsky.app/profile/davefarley77.bsky.socialhttps://www.continuous-delivery.co.ukhttps://linkedin.com/in/dave-farley-a67927https://twitter.com/davefarley77http://www.davefarley.netRead the full abstract hereRECOMMENDED BOOKSDavid Deutsch • The Beginning of InfinityMichael Nygard • Release It! 2nd EditionMichael Nygard • Release It! 1st EditionZhamak Dehghani • Data MeshDave Farley • Modern Software EngineeringDave Farley • Continuous Delivery PipelinesDave Farley & Jez Humble • Continuous DeliveryInspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

The Transformation Ground Control podcast covers several topics important to digital and business transformation. This episode covers the following topics and interviews:   Where is the ERP Market Headed? It's Time to Completely Re-Think ERP Systems (Eyal Katz & Evgenya Kontorovich, Priority Software) Microservices & Alternatives to ERP, Jan Baan   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Wie würdest du ... Open Podcasts … bauen? Architektur- und Design-Diskussion, die zweite.Monolith oder Microservices? Python oder Go? Wer träumt nachts eigentlich vom perfekten ETL-Stack? Als Softwareentwickler:in kennst du das: Daten aus zig Quellen, kapriziöse APIs, Security-Bedenken und der Wunsch nach einem skalierbaren, sauberen Architekturkonzept. Fragen über Fragen und etliche mögliche Wege. Welcher ist “der Richtige”?Genau dieses Szenario nehmen wir uns zur Brust: Wolfi hat mit „Open Podcast“ ein reales Projekt gebaut, das Analytics-Daten aus Plattformen wie Spotify, Apple & Co. zusammenführt. Du willst wissen, wie du verteilte APIs knackst, Daten harmonisierst, Backups sicherst und deine Credentials nicht als Excel-Sheet auf den Desktop legst? Komm mit auf unseren Architektur-Deepdive! Andy wird Schritt für Schritt interviewt und challenged, wie er als Engineer, von API-Strategie über Message Queues bis Security und Skalierung, dieses Problem kreativ lösen würde. Nebenbei erfährst du alles Wichtige über Open-Source-Vorteile, Datenbanken (PostgreSQL, Clickhouse), Backups, Monitoring und DevOps. Das Ganze immer garniert mit Learnings aus der echten Praxis.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview hereSheen Brisals - AWS Serverless Hero, Engineering Leader & Co-Author of "Serverless Development on AWS"Vlad Khononov - Author of "Balancing Coupling in Software Design" & "Learning Domain Driven Design" & Creator of the Balanced Coupling ModelRESOURCESVladhttps://bsky.app/profile/vladikk.bsky.socialhttps://vladikk.comhttps://github.com/vladikkhttps://www.linkedin.com/in/vladikkSheenhttps://bsky.app/profile/sheenbrisals.bsky.socialhttps://twitter.com/sheenbrisalshttps://www.linkedin.com/in/sheen-brisalshttps://sbrisals.medium.comLinkshttps://www.informit.comhttps://youtu.be/6hTZXR2brWEDESCRIPTIONSheen Brisals sits down with software engineer and author Vlad Khononov to explore his latest book, "Balancing Coupling in Software Design". Vlad shares his journey from a failed microservices project to his deep dive into the principles of coupling, drawing insights from a 1970s structured design book.The duo discusses the timeless nature of coupling in software, how modern systems like microservices and cloud architectures still rely on age-old design principles, and the importance of understanding complexity for better problem decomposition and estimation. Vlad also reveals his unique approach to the book—integrating AI-generated poetry into each chapter to help readers grasp complex concepts. With a focus on modularity as the antidote to complexity, Vlad emphasizes that by managing coupling, engineers can create more maintainable, scalable systems.RECOMMENDED BOOKSVlad Khononov • Balancing Coupling in Software DesignVlad Khononov • Learning Domain-Driven DesignSheen Brisals & Luke Hedger • Serverless Development on AWSGlenford Myers • Composite/Structured DesignVaughn Vernon • Implementing Domain-Driven DesignEric Evans • Domain-Driven Designvan Kelle, Verschatse & Baas-Schwegler • Collaborative Software DesignNick Tune & Jean-Georges Perrin • Architecture ModernizaBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview hereAnne Currie - Co-Author of "The Cloud Native Attitude" & "Building Green Software"Sarah Wells - Independent Consultant & Author & Author of "Enabling Microservice Success"RESOURCESAnnehttps://bsky.app/profile/annecurrie.bsky.socialhttps://www.strategically.greenSarahhttps://bsky.app/profile/sarahjwells.bsky.socialhttps://www.sarahwells.devhttps://linkedin.com/in/sarahjwells1DESCRIPTIONSarah Wells and Anne Currie dive into “The Cloud Native Attitude” and uncover why it's more than just using cloud infrastructure. It's about breaking bottlenecks, embracing rapid change, and aligning the entire organization.Anne reflects on how Kubernetes has risen since the book's first edition, but the core principles remain. They discuss why CI/CD is key, how cloud native supports sustainability, and why true transformation demands more than just a lift-and-shift. The conversation wraps up with practical advice on identifying real bottlenecks and securing buy-in for a successful cloud native journey.RECOMMENDED BOOKSAnne Currie & Jamie Dobson • The Cloud Native AttitudeAnne Currie, Sarah Hsu, & Sara Bergman • Building Green SoftwareSarah Wells • Enabling Microservice SuccessBill Gates • How to Avoid a Climate DisasterLiz Rice • Container SecurityBurns, Beda & Hightower • Kubernetes: Up & RunningMatthew Skelton & Manuel Pais • Team TopologiesBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode, we sit down with Christian Posta, the Field CTO at Solo.io and an industry author and leader on topics such as Microservices, AI, and IAM.We will explore the rise of Agentic AI and its supporting protocols, such as MCP and A2A, and the broader challenges and considerations of Identity security in the age of LLMs.

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview hereRandy Shoup - SVP Engineering at Thrive MarketCharles Humble - Freelance Techie, Podcaster, Editor, Author & ConsultantRESOURCESRandyhttps://bsky.app/profile/randyshoup.bsky.socialhttps://medium.com/@randyshouphttps://x.com/randyshouphttps://github.com/randyshoup-thrivehttps://www.linkedin.com/in/randyshoupCharleshttps://bsky.app/profile/charleshumble.bsky.socialhttps://linkedin.com/in/charleshumblehttps://mastodon.social/@charleshumblehttps://conissaunce.comLinkshttps://se-radio.net/2008/09/episode-109-ebays-architecture-principles-with-randy-shoupDESCRIPTIONCharles Humble sits down with veteran tech leader Randy Shoup, now SVP of Engineering at Thrive Market.Randy discusses Thrive Market's evolution from a 10-year-old monolith to a microservices architecture, emphasizing domain-driven design and agile scaling. Drawing on his experiences at eBay and other tech giants, he explains when to adopt microservices and the importance of continuous delivery and platform engineering for boosting productivity.RECOMMENDED BOOKSSam Newman • Monolith to MicroservicesSam Newman • Building Resilient Distributed SystemsDave Farley & JDigital Disruption with Geoff Nielson Discover how technology is reshaping our lives and livelihoods.Listen on: Apple Podcasts Spotify Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview hereNat Pryce - Co-Author of "Growing Object­-Oriented Software Guided by Tests" & "Java to Kotlin"Duncan McGregor - Co-Author of "Java to Kotlin" & Independent ConsultantRESOURCESNathttps://mastodon.social/@natprycehttps://github.com/nprycehttps://x.com/natprycehttps://www.linkedin.com/in/natprycehttp://www.natpryce.comDuncanhttps://twitter.com/duncanmcghttps://www.linkedin.com/in/duncan-mcgregor-a3038b6https://github.com/dmcghttp://www.oneeyedmen.comhttps://java-to-kotlin.devLinkshttps://www.meetup.com/extreme-tuesday-club-xtchttps://guava.dev/releases/21.0/api/docs/com/google/common/base/Function.htmlDESCRIPTIONThis conversation between Duncan McGregor and Nat Pryce explores the legacy of Nat's co-authored book "Growing Object-Oriented Software, Guided by Tests" (GOOS) and how software development practices have evolved in the past 15 years.They discuss the origins of test-driven development (TDD) within London's Extreme Tuesday Club, the shift from object-oriented to functional programming paradigms, and how changing technology has influenced development approaches.Key topics include outside-in vs bottom-up testing strategies, mock objects, the rise of microservices, and whether modern development practices have actually improved productivity.The conversation provides valuable historicaDigital Disruption with Geoff Nielson Discover how technology is reshaping our lives and livelihoods.Listen on: Apple Podcasts Spotify Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Chris Adams is joined by Adrian Cockcroft, former VP of Cloud Architecture Strategy at AWS, a pioneer of microservices at Netflix, and contributor to the Green Software Foundation's Real Time Cloud project. They explore the evolution of cloud sustainability—from monoliths to microservices to serverless—and what it really takes to track carbon emissions in real time. Adrian explains why GPUs offer rare transparency in energy data, how the Real Time Cloud dataset works, and what's holding cloud providers back from full carbon disclosure. Plus, he shares his latest obsession: building a generative AI-powered house automation system using agent swarms.

Mark Fussell is the CEO of Diagrid, a developer platform that provides tools and services for building cloud native applications. They've raised $24.2M from Amplify and Norwest. He is also the co-creator of Dapr, an open source tool used by 40,000 companies. Mark's favorite books: - Crossing the Chasm (Author: Geoffrey A. Moore)- Good to Great (Author: Jim Collins)- The Dispossessed (Author: Ursula K. Le Guin) (00:01) Opening and Introduction(00:09) The Origins of Dapr: Solving Developer Pain(01:53) Why Launch Diagrid After Building Dapr at Microsoft(03:36) Why Dapr Gained Traction Among Developers(05:30) Open Source Commercialization: What to Charge For(07:51) When Do Companies Turn to Diagrid for Help?(09:53) Key Features: PubSub, Workflow, and Catalyst(11:48) North Star Metrics and Innovation Philosophy(13:17) Pricing Strategy for Infra and Dev Tools(15:28) Competing Against Hyperscalers Like AWS & Azure(17:32) Who Diagrid Competes With and Role of Platform Engineering(19:29) The Agentic Shift in Microservices(21:28) How AI Is Changing Microservices Design(22:59) What's Coming Next at Diagrid: Roadmap and AI Features(24:51) Lessons from the First Five Customers(26:59) Rapid Fire Round--------Where to find Mark Fussell: LinkedIn: https://www.linkedin.com/in/mfussell/--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite X: https://x.com/prateekvjoshi 

Sam Newman, one of the pioneers of microservices, encourages architects to use distributed systems as a last resort architecture. He stresses the importance of focusing on the desired outcome and starting with monoliths, gradually evolving the architecture. By thinking holistically at the system level, including observability, ephemeral environments, and testing, it will enable your team to remain in a continuous state of flow. Read a transcript of this interview: https://bit.ly/3FFKB5T Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - Twitter: twitter.com/InfoQ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

Kelly Goetsch is the Chief Operating Officer of Pipe17, which specializes in AI-powered composable order operations. Before joining Pipe17, he served as the Chief Strategy Officer at commercetools, where he played a pivotal role in scaling the company to over $100 million in annual recurring revenue. Kelly also co-founded MACH Alliance, a nonprofit industry organization advocating for Microservices, APIs, Cloud-native, and Headless (MACH) technologies.  In this episode… Customers expect fast fulfillment and delivery across various selling channels, including social media and marketplaces. Traditional systems struggle to keep pace, leaving companies tangled in connectivity issues between their sales, inventory, and fulfillment networks. How can brands deliver seamless, cost-effective experiences while scaling across these fragmented digital touchpoints? With experience in AI-driven order management, Kelly Goetsch advises brands to adopt a connectivity-first model. This requires integrating a flexible routing layer that connects selling channels, back-office systems, and fulfillment partners, enabling dynamic order flow based on cost, speed, and product needs. Kelly also recommends embracing emerging sales platforms like TikTok and leveraging AI tools to align with how customers discover products, noting that companies must modernize their operations or risk falling behind in today's competitive landscape. In today's episode of The Digital Deep Dive, Aaron Conant speaks with Kelly Goetsch, COO of Pipe17, about reshaping order management for AI-driven shopping. Kelly explains how selling channels have evolved, marketing gaps in midsize brands, and how voice commerce has shaped emerging conversational shopping experiences.

Highlights from this week's conversation include:Mark's Background and Journey in Data (1:08)Mark's Time at Microsoft (5:33)Internal Adoption of Azure (9:20)Understanding Pain Points (11:06)Complexity in Software Development (13:15)Microservices Architecture Overview (17:15)Microservices vs. Monolith (22:08)Modernizing Legacy Applications (24:39)Dependency Management with Dapr (29:43)Infrastructure as Code (33:04)AI's Rapid Evolution and Vendor Changes (37:27)Language Models in Application Development (39:05)AI in Creative Applications (42:59)The Future of Backend Development (47:22)Streamlining Development Processes (49:29)Dapr as an Open Source Solution (51:11)Getting Started with Dapr and Parting Thoughts (51:39)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Im Podcast diskutieren Torsten Mandry und Sven Johann Überlegungen und Erfahrungen für oder gegen eine Microservices-Architektur bzw. einen Modulithen. Während Microservices oft wegen ihrer Unabhängigkeit und Entkopplung geschätzt werden, zeigen sich auch Nachteile, etwa durch erhöhten Schnittstellenaufwand, komplexes Deployment und Infrastruktur. Torsten beschreibt, wie er durch ein eigenes Experiment mit einem Modulith herausfinden wollte, ob und wie Modularisierung ohne Microservices gelingen kann. Die beiden diskutieren die Abwägungen dieser Entscheidung – abhängig von Teamgröße, Projektphase, technischen Anforderungen und strategischer Planung.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

 In this episode of Untangled, Jan Baan — the legendary founder of Baan Company and pioneer in enterprise software — unpacks the deep flaws of today's ERP systems. From the rise of microservices to the misuse of RFPs and the myth of SaaS perfection, Jan calls for a smarter, more flexible future for public sector technology. He dives into how governments can modernize without vendor lock-in, how AI should serve the user (not the vendor), and why the “job to be done” mindset is the path forward. This is a bold, unscripted masterclass in tech strategy from the man who helped invent the category. 

This episode dives into the fascinating evolution of server technology, from room-sized mainframes to today's AI-powered cloud computing. It explores the innovations, rivalries, and key players—IBM, Microsoft, Unix pioneers, and the rise of Linux—that shaped the industry. The discussion covers the transition from minicomputers to personal computing, the impact of open-source software, and the shift toward containerization, hybrid cloud, and AI-driven infrastructure. With a focus on the forces driving technological progress, this episode unpacks the past, present, and future of server technology and its role in digital transformation.

In this episode of the Steering Engineering Podcast, host Danny Brian and co-host Brent Stewart are joined by Gartner Distinguished VP Analyst, Gary Olliffe, to answer the question, “Are microservices dead?” Listen as Danny, Brent and Gary explore this topic by examining microservices architecture from a more technical perspective and by discussing its current and future outlook.About the GuestGary Olliffe is a distinguished VP analyst in the software engineering practice supporting Gartner for Technical Professionals (GTP). Gary's research covers a range of software architecture topics, including application architecture, platform engineering, applications of AI in software delivery, microservice and event-driven architectures.

Guy Royse, dev advocate at Redis, discusses going beyond the cache with Redis and Node.js. He explores its capabilities as a memory-first database, session management, and even fun use cases like the Bigfoot Tracker API. He also shares insights on Redis OM for object mapping and its future in the JavaScript ecosystem. Links http://guyroyse.com http://github.com/guyroyse https://www.twitch.tv/guyroyse https://www.youtube.com/channel/UCNt5SDc6LosO41E77jr59cQ https://x.com/guyroyse https://www.linkedin.com/in/groyse https://2024.connect.tech/session/693665 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Guy Royse.

Roy Derks, Developer Experience at IBM, talks about the integration of Large Language Models (LLMs) in web development. We explore practical applications such as building agents, automating QA testing, and the evolving role of AI frameworks in software development. Links https://www.linkedin.com/in/gethackteam https://www.youtube.com/@gethackteam https://x.com/gethackteam https://hackteam.io We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Roy Derks.

A distributed system is a network of independent services that work together to achieve a common goal. Unlike a monolithic system, a distributed system has no central point of control, meaning it must handle challenges like data consistency, network latency, and system failures. Debugging distributed systems is conventionally considered challenging because modern architectures consist of The post Troubleshooting Microservices with Julia Blase appeared first on Software Engineering Daily.

A distributed system is a network of independent services that work together to achieve a common goal. Unlike a monolithic system, a distributed system has no central point of control, meaning it must handle challenges like data consistency, network latency, and system failures. Debugging distributed systems is conventionally considered challenging because modern architectures consist of The post Troubleshooting Microservices with Julia Blase appeared first on Software Engineering Daily.

In this special episode of Watson Weekly, Rick Watson is joined by Kelly Goetsch, a Commercetools Advisor and industry thought leader. Kelly shares his unique insights into the evolving landscape of e-commerce, focusing on the intersection of technology and healthcare. Together, they explore key topics like consumer behavior trends, the growing role of composable commerce, and the untapped opportunities in health tech. From tackling HIPAA compliance to redefining retail experiences, this episode dives deep into the transformative potential of technology across industries. Don't miss this engaging discussion packed with expertise and forward-thinking strategies.About Kelly - Kelly Goetsch is a commercetools Advisor. Until January 2025, Kelly was the company's Chief Strategy Officer, and prior to that, he served as the Chief Product Officer at commercetools for nearly six years. Goetsch is an industry thought-leader who champions the MACH (Microservices, API, Cloud-Native, and Headless) movement, and co-founded the MACH Alliance, a group of 100+ independent, future-thinking tech companies dedicated to advocating for open, best-of-breed technology ecosystems. Prior to commercetools, Goetsch held senior-level product development and go-to-market responsibilities at Oracle and held the role of Senior Architect ATG (acquired by Oracle), where he was instrumental to 31 large-scale ATG implementationsHe is the author of four books - GraphQL for Modern Commerce (O'Reilly, 2020), APIs for Modern Commerce (O'Reilly, 2017), Microservices for Modern Commerce (O'Reilly, 2016) and E-Commerce in the Cloud (O'Reilly, 2014). He holds three patents, including one key to distributed computing.

Hi, Spring fans! (and happy holidays!) in this installment I talk to Intact's Luke Shannon about their use of Spring, developer portals, and so much more.

Imagine standing at a crossroads, juggling countless possibilities yet needing to choose just one path.That's what most early-stage founders struggle with. And for me, that's picking the right course towards the ever-elusive Product-Market fit.Today, I'll share how I tackle this challenge and what I do to show my best customers the highest possible value of my product as early as possible.This episode is sponsored by Paddle.com — if you're looking for a payment platform that works for you so you can focus on what matters, check them out.The blog post: https://thebootstrappedfounder.com/product-market-fit-time-to-first-value/The podcast episode: https://tbf.fm/episodes/360-product-market-fit-time-to-first-valueCheck out Podscan to get alerts when you're mentioned on podcasts: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

At Amazon's reInvent conference the company unveiled a range of AI-centric innovations. AWS CEO Matt Garman highlighted the transformative potential of generative AI across various industries, introducing Amazon Bedrock, which aims to streamline model training and reduce costs. The new Nova family of foundation models, including Nova Micro, Nova Lite, and Nova Premier, was also announced, showcasing AWS's commitment to enhancing AI capabilities. Additionally, updates to Q-Business, AWS's AI assistant, promise seamless integration with over 40 enterprise tools, enhancing workflow efficiency.The episode also delves into AWS's hardware advancements, particularly the Graviton processor, which offers significant improvements in price performance and energy efficiency. New instances featuring NVIDIA's Blackwell chips and the launch of Tranium 2, AWS's second-generation AI chip, further emphasize the company's focus on supporting AI workloads. To address reliability concerns, AWS introduced automated reasoning to combat AI hallucinations and model distillation for efficient multi-agent collaboration. Furthermore, AWS's new Aurora DSQL engine and Data Transfer Terminal locations aim to enhance data processing and storage capabilities.Shifting gears, Host Dave Sobel discusses a major cyber attack on U.S. telecommunications companies, urging the use of encrypted messaging apps to safeguard communications. The hacking campaign, attributed to China, has raised significant privacy concerns, with officials recommending encryption to protect sensitive information. The episode also touches on the role of AI in the recent global elections, where despite fears of misinformation, AI was utilized positively for language translation and voter engagement, highlighting a more balanced narrative than anticipated.Finally, the episode explores broader industry trends, including Intel's challenges following the forced exit of its CEO and the potential resurgence of monolithic architectures as companies reconsider the complexities of microservices. Sobel emphasizes the evolving role of IT departments, which are gaining recognition and influence within organizations due to the rise of AI. The discussion encourages listeners to reflect on their technology choices, partnerships, and the strategic contributions of IT in navigating these changes.Three things to know today00:00 Amazon Unveils AI-Centric Updates at re:Invent: Nova Models, Hardware Breakthroughs, and Legacy System Modernization06:04 Balancing Risks and Relief: Encryption and AI Oversight Take Center Stage in 2024's Security Landscape08:41 From Intel's Future to Microservices' Decline and IT's Strategic Rise  Supported by:  http://blumira.com/radio/https://www.coreview.com/msp   All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

In this episode of the Convergence Podcast, Ashok welcomes Derek Ferguson, Chief Software Officer at Fitch Group, for the first of a two-part series. Derek shares how his unique blend of a music background and decades in product leadership have shaped his approach to leading high-performing software teams. From his insights on disciplined creativity to the vital relationship between agile methods and microservices, Derek provides a wealth of actionable advice for building successful product teams. Derek also unpacks the challenges of aligning business stakeholders with technology teams, earning their trust, and navigating complex migrations with an innovative yet pragmatic approach. Whether you're curious about how design, agile, and DevOps intersect or you're leading a team striving to deliver better software faster, this conversation is packed with invaluable lessons. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode… • How a music background translates to product leadership. • Building trust with business stakeholders in agile environments. • Why microservices, agile, and DevOps are a winning trio. • Real-world stories of disciplined creativity at work. • The importance of rethinking legacy processes in migrations. Mentioned in this episode • Fitch Group • Agile coaching • Microservices and DevOps methodologies • Integral.io

Thomas Mulreid is the VP of Sales at Orium and he was Kailin Noivo's latest guest on Ecommerce Toolbox: Expert Perspectives. Thomas shared his journey from finance through the tech world, and eventually landed at Orium, just at the very moment that the pandemic started to reshape how we work. Now, he's an expert in the changes that are reshaping the world of ecommerce: headless and composable commerce. In this conversation, Thomas reflects on how Orium has helped brands to quickly create tailored digital experiences with cutting-edge composable strategies. They also explore the pivotal role of MACH architecture in building the sort of flexible solutions that can adapt as businesses grow. Tune in to hear practical advice and learn how innovation and best practices are shaping the future of online shopping.

Matteo Collina and Luca Maraschi join the podcast to talk about Platformatic. Learn about Platformatics' incredible 4.3 million dollar seed round, its robust features and modular approach, and how it addresses the unique challenges faced by devs and enterprises. Links https://platformatic.dev/docs/getting-started/quick-start-watt Matteo Collina: https://nodeland.dev https://x.com/matteocollina https://fosstodon.org/@mcollina https://github.com/mcollina https://www.linkedin.com/in/matteocollina https://www.youtube.com/@adventuresinnodeland Luca Maraschi: https://www.linkedin.com/in/lucamaraschi https://x.com/lucamaraschi We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guests: Luca Maraschi and Matteo Collina.

916: The ways customers interact with retailers and other organizations have vastly changed in recent years, and the pet care industry is no different, leveraging technology to deliver personalized, efficient experiences for pet parents. In this episode of Technovation, Peter High interviews Greg Fancher, Executive Vice President of IT and Chief Information Technology Officer of PetSmart. Greg discusses PetSmart's ongoing digital transformation, which has included a shift from a distribution center-focused model to store-based e-commerce fulfillment, improving speed and efficiency for customers. He also shares insights into re-platforming PetSmart's systems to use microservices, enabling faster innovation, and the company's strategic use of AI for optimizing operations like pick path efficiency and personalized marketing. Greg provides an inside look at the company's efforts to enhance its omnichannel retail strategy, including cloud-based booking for pet services and real-time inventory visibility. Lastly, Greg highlights the importance of leadership restructuring and portfolio management in aligning technology investments with business goals and discusses his excitement for future technologies like quantum computing and their potential impact on security.

The ways customers interact with retailers and other organizations have vastly changed in recent years, and the pet care industry is no different, leveraging technology to deliver personalized, efficient experiences for pet parents. In this episode of Technovation, Peter High interviews Greg Fancher, Executive Vice President of IT and Chief Information Technology Officer of PetSmart. Greg discusses PetSmart's ongoing digital transformation, which has included a shift from a distribution center-focused model to store-based e-commerce fulfillment, improving speed and efficiency for customers. He also shares insights into re-platforming PetSmart's systems to use microservices, enabling faster innovation, and the company's strategic use of AI for optimizing operations like pick path efficiency and personalized marketing. Greg provides an inside look at the company's efforts to enhance its omnichannel retail strategy, including cloud-based booking for pet services and real-time inventory visibility. Lastly, Greg highlights the importance of leadership restructuring and portfolio management in aligning technology investments with business goals and discusses his excitement for future technologies like quantum computing and their potential impact on security.

In this episode of the E-commerce Toolbox: Expert Perspectives podcast, Kailin Noivo is joined by Kelly Goetsch, Chief Strategy Officer at Commercetools and an influential voice in headless commerce. Kelly, a seasoned expert in e-commerce architecture, shares his experiences and insights on the evolution of digital commerce platforms, drawing from his extensive background in technology leadership at Oracle and ATG. He delves into the benefits of a headless approach to commerce, emphasizing the flexibility and scalability it offers to modern retailers. Tune in to discover how brands can future-proof their digital commerce strategies through innovation and technology leadership.