Adventures in DevOps

Will Button, Warren Parad

Join us in listening to the experienced experts discuss cutting edge challenges in the world of DevOps. From applying the mindset at your company, to career growth and leadership challenges within engineering teams, and avoiding the common antipatterns. Every episode you'll meet a new industry veteran guest with their own unique story.

  1. 8월 24일

    The Open-Source Product Leader Challenge: Navigating Community, Code, and Collaboration Chaos

    In a special solo flight, Warren welcomes Meagan Cojocar, General Manager at Pulumi and a self-proclaimed graduate of “PM school” at AWS. They dive into what it’s like to own an entire product line and why giving up that startup hustle for the big leagues sometimes means you miss the direct signal from your users. The conversation goes deep on the paradox of open-source where direct feedback is gold, but dealing with license-shifting competitors can make you wary. From the notorious HashiCorp kerfuffle to the rise of OpenTofu, they explore how Pulumi maintains its commitment to the community amidst a wave of customer distrust. Meagan highlights the invaluable feedback loop provided by the community, allowing for direct interaction between users and the engineering team. This contrasts with the "telephone game" that can happen in proprietary product development. The conversation also addresses the recent industry shift and then immediate back-peddling from open-source licenses, discussing the subsequent customer distrust and how Pulumi maintains its commitment to the open-source model. And finally, the duo tackles the elephant in the cloud: LLMs, and extends on the early MCP episode. They debate the great code quality vs. speed trade-off, the risk of a "botched" infrastructure deployment, and whether these models can solve anything more than a glorified statistical guessing game. It's a candid look at the future of DevOps, where the real chaos isn't the code, but the tools that write it. The conversation concludes with a philosophical debate on the fundamental capabilities of LLMs, questioning whether they can truly solve "hard problems" or are merely powerful statistical next-word predictors. Notable Facts Veritasium - the Math that predicts everythingFact - Don't outsource your customer support: Clorox sues CognizantCloudFlare uses an LLM to generate an OAuth2 LibraryPicks: Warren - Rands Leadership CommunityMeagan - The Manager's Path by Camille Fournier

    59분

  2. 7월 31일

    FinOps: Holding engineering teams accountable for spend

    In this episode of Adventures in DevOps, we dive into the world of FinOps, a concept that aims to apply the DevOps mindset to financial accountability. Yasmin Rajabi, Chief Strategy Officer at CloudBolt, joins us to demystify, as we acknowledge the critical challenge of bringing together financial accountability and engineering teams who often are not paying attention to the business. The discussion further explores the practicalities of FinOps in the context of cloud spending and Kubernetes. Yasmin highlights that a significant amount of waste in organizations comes from simply not turning off unused systems and not right-sizing resources. She explains how tools like Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) can help, but also points out the complexities of optimizing across horizontal and vertical scaling behaviors. The conversation touches on "shame back reporting" as a way to provide visibility into costs for engineering teams, although the conversation emphasizes that providing tooling and insights is more effective than simply telling developers to change configurations. The episode also delves into the evolving mindset around cloud costs, especially with the rise of AI and machine learning workloads. While historically engineering salaries eclipsed cloud spending, the increasing hardware requirements for ML and data workloads are making cost optimization a more pressing concern. Spending-conscious teams are increasingly asking about GPU optimization, even if AI/ML teams are still largely focused on limitless spending to drive unjustified "innovation". The conclude by discussing the challenges of on-premise versus cloud deployments and the importance of addressing "day two problems" regardless of the infrastructure choice. Picks Warren - Lions and Dolphins cannot make babiesAimee - The Equip Protein Powder and Protein BarYasmin - Bone Broth drink by 1990 Snacks

    55분

  3. 7월 17일

    The Auth Showdown: Single tenant versus Multitenant Architectures

    Get ready for a lively debate on this episode of Adventures in DevOps. We're joined by Brian Pontarelli, founder of FusionAuth and CleanSpeak. Warren and Brian face off by diving into the controversial topic of multitenant versus single-tenant architecture. Expert co-host Aimee Knight joins to moderate the discussion. Ever wondered how someone becomes an "auth expert"? Warren spills the beans on his journey, explaining it's less about a direct path and more about figuring out what it means for yourself. Brian chimes in with his own "random chance" story, revealing how they fell into it after their forum-based product didn't pan out. Aimee confesses her "alarm bells" start ringing whenever multitenant architecture is mentioned, jokingly demanding "details" and admitting her preference for more separation when it comes to reliability. Brian makes a compelling case for his company's chosen path, explaining how their high-performance, downloadable single-tenant profanity filter, CleanSpeak, handles billions of chat messages a month with extreme low latency. This architectural choice became a competitive advantage, attracting companies that couldn't use cloud-based multitenant competitors due to their need to run solutions in their own data centers. We critique cloud providers' tendency to push users towards their most profitable services, citing AWS Cognito as an example of a cost-effective solution for small-scale use that becomes cost-prohibitive with scaling and feature enablement. The challenges of integrating with Cognito, including its reliance on numerous other AWS services and the need for custom Lambda functions for configuration, are also a point of contention. The conversation extends to the frustrations of managing upgrades and breaking changes in both multitenant and single-tenant systems and the inherent difficulties of ensuring compatibility across different software versions and integrations. The episode concludes with a humorous take on the current state and perceived limitations of AI in software development, particularly concerning security. Picks Warren - Scarpa Hiking shoes - Planet Mojito SuadeAimee - Peloton TreadBrian - Searchcraft and Fight or Flight

    53분

  4. 6월 24일

    Should We Be Using Kubernetes: Did the Best Product Win?

    Episode Sponsor: PagerDuty - Checkout the features in their official feature release: https://fnf.dev/4dYQ7gL This episode dives into a fundamental question facing the DevOps world: Did Kubernetes truly win the infrastructure race because it was the best technology, or were there other, perhaps less obvious, factors at play? Omer Hamerman joins Will and Warren to take a hard look at it. Despite the rise of serverless solutions promising to abstract away infrastructure management, Omer shares that Kubernetes has seen a surge in adoption, with potentially 70-75% of corporations now using or migrating to it. We explore the theory that human nature's preference for incremental "step changes" (Kaizen) over disruptive "giant leaps" (Kaikaku) might explain why a solution perceived by some as "worse" or more complex has gained such widespread traction. The discussion unpacks the undeniable strengths of Kubernetes, including its "thriving community", its remarkable extensibility through APIs, and how it inadvertently created "job security" for engineers who "nerd out" on its intricacies. We also challenge the narrative by examining why serverless options like AWS Fargate could often be a more efficient and less burdensome choice for many organizations, especially those not requiring deep control or specialized hardware like GPUs. The conversation highlights that the perceived "need" for Kubernetes' emerges often from something other than technical superiority. Finally, we consider the disruptive influence of AI and "vibe coding" on this landscape, how could we not? As LLMs are adopted to "accelerate development", they tend to favor serverless deployment models, implicitly suggesting that for rapid product creation, Kubernetes might not be the optimal fit. This shift raises crucial questions about the trade-offs between development speed and code quality, the evolving role of software engineers towards code review, and the long-term maintainability of AI-generated code. We close by pondering the broader societal and environmental implications of these technological shifts, including AI's massive energy consumption and the ongoing debate about centralizing versus decentralizing infrastructure for efficiency. Links:​ Comparison: Linux versus E. coliPicks​ Warren - Surveys are great, and also fill in the Podcast SurveyWill - Katana.networkOmer - Mobland and JJ (Jujutsu)

    1시간 7분

  5. 6월 21일

    Mastering SRE: Insights in Scale and at Capacity with Aimee Knight

    In this episode, Aimee Knight, an expert in Site Reliability Engineering (SRE) whose experience hails from Paramount and NPM, joins the podcast to discuss her journey into SRE, the challenges she faced, and the strategies she employed to succeed. Aimee shares her transition from a non-traditional background in JavaScript development to SRE, highlighting the importance of understanding both the programming and infrastructure sides of engineering. She also delves into the complexities of SRE at different scales, the role of playbooks in incident management, and the balance between speed and quality in software development. Aimee discusses the impact of AI and machine learning on SRE, emphasizing the need for responsible use of these tools. She touches on the importance of understanding business needs and how it affects decision-making in SRE roles. The conversation also covers the trade-offs in system design, the challenges of scaling applications, and the importance of resilience in distributed systems. Aimee provides valuable insights into the pros and cons of a career in SRE, including the importance of self-care and the satisfaction of mentoring others. The episode concludes with us discussing some of the hard problems such as the on-call burden for large teams, and the technical expertise an org needs to maintain higher complexity systems. Is the average tenure in tech decreasing, we discuss it and do a deep dive on the consequences in the SRE world. Picks​ The Adventures In DevOps: SurveyWarren's Technical BlogWarren: The Fifth Discipline by Peter SengeAimee: Sleep Token (Band) - Caramel, GraniteWill: The Bear Grylls Celebrity Hunt on NetflixJillian: Horizon Zero Dawn Video Game

    1시간 18분

  6. 6월 14일

    Exploring MCP Servers and Agent Interactions with Gil Feig

    In this episode, we delve into the concept of MCP (Machine Control Protocol) servers and their role in enabling agent interactions. Gil Feig, the co-founder and CTO of Merge, shares insights on how MCP servers facilitate efficient and secure integration between various services and APIs. The discussion covers the benefits and challenges of using MCP servers, including their stateful nature, security considerations, and the importance of understanding real-world use cases. Gil emphasizes the need for thorough testing and evaluation to ensure that MCP servers effectively meet user needs. Additionally, we explore the implications of MCP servers on data security, scaling, and the evolving landscape of API interactions. Warren chimes in with experiences integrating AI with Auth. Will stuns us with some nuclear fission history. And finally, we also touch on the balance between short-term innovation and long-term stability in technology, reflecting on how different generations approach problem-solving and knowledge sharing. Picks​: The Adventures In DevOps: SurveyWarren: The Magicians by Lev GrossmanGil: Constant Escapement in WatchmakingWill: Dungeon Crawler Carl & Atmos Clock

    1시간 5분

  7. 6월 9일

    No Lag: Building the Future of High-Performance Cloud with Nathan Goulding

    Warren talks with Nathan Goulding, SVP of Engineering at Vultr, about what it actually takes to run a high-performance cloud platform. They cover everything from global game server latency and hybrid models to bare metal provisioning and the power/cooling constraints that come with modern GPU clusters. The discussion gets into real-world deployment challenges like scaling across 32 data centers, edge use cases that actually matter, and how to design systems for location-sensitive customers—whether that’s due to regulation or performance. Additionally, there's talk about where the hyperscalers have overcomplicated pricing and where simplicity in a flatter pricing model and optimized defaults are better for everyone. There’s a section on nuclear energy (yes, really), including SMRs, power procurement, and what it means to keep scaling compute with limited resources. If you're wondering whether your app actually needs high-performance compute or just better visibility into your costs, this is the episode. Picks​ The Adventures In DevOps: SurveyWarren: Jetlag: The GameNathan: Money Heist (La Casa de Papel)

    1시간 1분

  8. 6월 4일

    Ground Truth & Guided Journeys: Rethinking Data for AI with Inna Tokarev Sela

    Inna Tokarev Sela, CEO and founder of Illumex, joins the crew to break down what it really means to make your data “AI-ready.” This isn’t just about clean tables—it’s about semantic fabric, business ontologies, and grounding agents in your company's context to prevent the dreaded LLM hallucination. We dive into how modern enterprises just cannot build a single source of truth, not matter how hard they try. All the while knowing that it's required to build effected agents utilizing the available knowledge graphs and. The conversation unpacks democratizing data access and avoiding analytics anarchy. Inna explains how automation and graph modeling are used to extract semantic meaning from disconnected data stores, and how to resolve conflicting definitions. And yes, Warren finally coughs up what's so wrong with most dashboards. Lastly, we quickly get to the core philosophical questions of agentic systems and AGI, including why intuition is the real differentiator between humans and machines. Plus: storage cost regrets, spiritual journeys disguised as inference pipelines, and a very healthy fear of subscription-based sleep wearables. Picks​ The Adventures In DevOps: SurveyWarren: The Non-Computability of IntuitionWill: The Arc BrowserInna: Healthy GenAI skepticism

    53분
모두 보기(276개)

4.4
최고 5점
18개의 평가

소개

Join us in listening to the experienced experts discuss cutting edge challenges in the world of DevOps. From applying the mindset at your company, to career growth and leadership challenges within engineering teams, and avoiding the common antipatterns. Every episode you'll meet a new industry veteran guest with their own unique story.

정보

  • 제작진
    Will Button, Warren Parad
  • 방송 연도
    2019년 - 2025년
  • 에피소드
    276
  • 등급
    무삭제판
  • 저작권
    © Rhosys AG
  • 웹사이트 보기
    Adventures in DevOps

좋아할 만한 다른 항목