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תוכן מסופק על ידי Adventures in DevOps, Will Button, and Warren Parad. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Adventures in DevOps, Will Button, and Warren Parad או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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NerdWallet's Smart Money Podcast


1 Estate Planning Made Simple and How to Handle Family Loans 32:09
32:09
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Learn how to build a simple estate plan and lend or repay family money without hurting your relationships. What’s the first thing to do when creating an estate plan? What’s the smartest way to handle loans between friends or family? Hosts Sean Pyles and Elizabeth Ayoola break down estate-planning basics like wills, revocable trusts, living wills/advance healthcare directives, and durable powers of attorney — tools that can ensure your wishes are carried out and help your loved ones avoid probate. They also share when to update your documents, how beneficiary designations can override your will, and three simple to-dos to get started without feeling overwhelmed. Then, mortgage and student loans writer Kate Wood joins Sean and Elizabeth to answer a listener’s question about paying a loan back to her parents. They explore how family loans and lending circles work, why it’s important to put agreements in writing (and when notarizing helps), and the impact informal loans can have on your credit. They also weigh different ways to set money aside, comparing high-yield savings accounts with taxable brokerage accounts invested in ETFs and considering timelines, growth potential, and tax trade-offs. Want us to review your budget? Fill out this form — completely anonymously if you want — and we might feature your budget in a future segment! https://docs.google.com/forms/d/e/1FAIpQLScK53yAufsc4v5UpghhVfxtk2MoyooHzlSIRBnRxUPl3hKBig/viewform?usp=header In their conversation, the Nerds discuss: estate planning, will vs trust, revocable trust, living will, durable power of attorney, healthcare proxy, advance healthcare directive, probate explained, beneficiary designation vs will, update beneficiaries after marriage, how often to update a will, intestate meaning, avoid probate, family loan agreement, lend money to family safely, informal lending, lending circle, saving circle, notarized loan contract, pros and cons of family loans, protect relationships when lending money, credit score and informal loans, high-yield savings accounts, taxable brokerage accounts, ETF basics for beginners, repaying parents for college, fiduciary roles in estate planning, power dynamics of lending to friends, writing a repayment schedule, when to use a trust for minors, and retitling assets into a trust. To send the Nerds your money questions, call or text the Nerd hotline at 901-730-6373 or email podcast@nerdwallet.com . Like what you hear? Please leave us a review and tell a friend. Learn more about your ad choices. Visit megaphone.fm/adchoices…
AI in DevOps: Managing Non-deterministic Workflows and Ensuring Model Lineage and Transparency - DevOps 214
Manage episode 440060753 series 3238263
תוכן מסופק על ידי Adventures in DevOps, Will Button, and Warren Parad. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Adventures in DevOps, Will Button, and Warren Parad או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Today, Will and Warren dive into the intersection of DevOps and AI with our special guest, Görkem Ercan, CTO of Jozu and a seasoned expert in developer tools and DevOps. In this episode, they explore the practical applications and challenges of integrating Machine Learning into DevOps workflows, utilizing real-world examples like global shirt distribution and the US Army's sizing issues. They also discuss the critical role of psychological safety in successful teams, the surprising origins of the webcam, and the remarkable engineering feats of the Voyager spacecraft.
Moreover, they unpack the intricacies of AI model management, confronting issues like non-deterministic outcomes, data drift, and the need for a unified control plane to handle complex, dynamic environments. They touch on the rise of internal AI management, the innovative use of sentiment analysis in customer support, and the surprising interest from consulting firms in AI-driven solutions.
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Moreover, they unpack the intricacies of AI model management, confronting issues like non-deterministic outcomes, data drift, and the need for a unified control plane to handle complex, dynamic environments. They touch on the rise of internal AI management, the innovative use of sentiment analysis in customer support, and the surprising interest from consulting firms in AI-driven solutions.
Socials
258 פרקים
Manage episode 440060753 series 3238263
תוכן מסופק על ידי Adventures in DevOps, Will Button, and Warren Parad. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Adventures in DevOps, Will Button, and Warren Parad או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Today, Will and Warren dive into the intersection of DevOps and AI with our special guest, Görkem Ercan, CTO of Jozu and a seasoned expert in developer tools and DevOps. In this episode, they explore the practical applications and challenges of integrating Machine Learning into DevOps workflows, utilizing real-world examples like global shirt distribution and the US Army's sizing issues. They also discuss the critical role of psychological safety in successful teams, the surprising origins of the webcam, and the remarkable engineering feats of the Voyager spacecraft.
Moreover, they unpack the intricacies of AI model management, confronting issues like non-deterministic outcomes, data drift, and the need for a unified control plane to handle complex, dynamic environments. They touch on the rise of internal AI management, the innovative use of sentiment analysis in customer support, and the surprising interest from consulting firms in AI-driven solutions.
Socials
…
continue reading
Moreover, they unpack the intricacies of AI model management, confronting issues like non-deterministic outcomes, data drift, and the need for a unified control plane to handle complex, dynamic environments. They touch on the rise of internal AI management, the innovative use of sentiment analysis in customer support, and the surprising interest from consulting firms in AI-driven solutions.
Socials
258 פרקים
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Adventures in DevOps

1 The IT Dictionary: Post-Mortems, Cargo Cults, and Dropped Databases 29:34
29:34
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אהבתי29:34
Episode Sponsor: Attribute - https://dev0ps.fyi/attribute We're joined by 20 year industry veteran and DevOps advocate, Adam Korga , celebrating the release of his book IT Dictionary . In this episode we quickly get down to the inspiration behind postmortems as we review some cornerstone cases both in software and in general technology. Adam shares how he started in the industry, long before DevOps was a coined term, focused on making systems safer and avoiding mistakes like accidentally dropping a production database. we review the infamous incidents of accidental database deletion, by LLMs and human's alike. And of course we touch on the quintessential postmortems in civil engineering, flight, and survivorship bias from World War II through analyzing bullet holes on returning planes. Notable Facts Adam's book: IT Dictionary Knight Capital: the 45 minute nightmare Work Chronicles Comic: Will my architecture work for 1 Million users? Picks: Warren - Cuitisan CANDL storage containers Adam - FUBAR…
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Adventures in DevOps

1 Vector Databases Explained: From E-commerce Search to Molecule Research 55:29
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אהבתי55:29
Episode Sponsor: Attribute - https://dev0ps.fyi/attribute Jenna Pederson, Staff Developer Relations at Pinecone , joins us to close the loop on Vector Databases. Demystifies how they power semantic search, their role in RAG, and also unexpected applications. Jenna takes us beyond the buzzword bingo, explaining how vector databases are the secret sauce behind semantic search. Sharing just how "red shirt" gets converted into a query that returns things semantically similar. It's all about turning your data into high-dimensional numerical meaning, which, as Jenna clarifies, is powered by some seriously clever math to find those "closest neighbors." The conversation inevitably veers into Retrieval-Augmented Generation (RAG). Jenna reveals how databases are the unsung heroes giving LLMs real brains (and up-to-date info) when they’re prone to hallucinating or just don’t know your company’s secrets. They complete the connection from proprietary and generalist foundational models to business relevant answers. Notable Facts Episode: MCP: The Model Context Protocol and Agent Interactions Crossing the Chasm Picks: Warren - HanCenDa USB C Magnetic adapter Jenna - Keychron Alice Layout Mechanical keyboard…
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Adventures in DevOps

1 The Unspoken Challenges of Deploying to Customer Clouds 52:41
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אהבתי52:41
This episode we are joined by Andrew Moreland, co-founder of Chalk . Andrew explains how their company’s core business model is to deploy their software directly into their customers’ cloud environments. This decision was driven by the need to handle highly sensitive data, like PII and financial records, that customers don't want to hand over to a third-party startup. The conversation delves into the surprising and complex challenges of this approach, which include managing granular IAM permissions and dealing with hidden global policies that can block their application. Andrew and Warren also discuss the real-world network congestion issues that affect cross-cloud traffic, a problem they've encountered multiple times. Andrew shares Chalk's mature philosophy on software releases, where they prioritize backwards compatibility to prevent customer churn, which is a key learning from a competitor. Finally, the episode explores the advanced technical solutions Chalk has built, such as their unique approach to "bitemporal modeling" to prevent training bias in machine learning datasets. As well as, the decision to move from Python to C++ and Rust for performance, using a symbolic interpreter to execute customer code written in Python without a Python runtime. The episode concludes with picks, including a surprisingly popular hobby and a unique take on high-quality chocolate. Notable Facts Fact - The $1M hidden Kubernetes spend Giraffe and Medical Ruler training data bias SOLID principles don't produce better code? Veritasium - The Hole at the Bottom of Math Episode: Auth Showdown on backwards compatible changes Picks: Warren - Switzerland Grocery Store Chocolate Andrew - Trek E-Bikes…
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Adventures in DevOps

1 How to build in Observability at Petabyte Scale 45:31
45:31
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אהבתי45:31
We welcome guest Ang Li and dive into the immense challenge of observability at scale, where some customers are generating petabytes of data per day. Ang explains that instead of building a database from scratch—a decision he says went "against all the instincts" of a founding engineer—Observe chose to build its platform on top of Snowflake, leveraging its separation of compute and storage on EC2 and S3. The discussion delves into the technical stack and architectural decisions, including the use of Kafka to absorb large bursts of incoming customer data and smooth it out for Snowflake's batch-based engine. Ang notes this choice was also strategic for avoiding tight coupling with a single cloud provider like AWS Kinesis, which would hinder future multi-cloud deployments on GCP or Azure. The discussion also covers their unique pricing model, which avoids surprising customers with high bills by providing a lower cost for data ingestion and then using a usage-based model for queries. This is contrasted with Warren's experience with his company's user-based pricing, which can lead to negative customer experiences when limits are exceeded. The episode also explores Observe’s "love-hate relationship" with Snowflake, as Observe's usage accounts for over 2% of Snowflake's compute, which has helped them discover a lot of bugs but also caused sleepless nights for Snowflake's on-call engineers. Ang discusses hedging their bets for the future by leveraging open data formats like Iceberg, which can be stored directly in customer S3 buckets to enable true data ownership and portability. The episode concludes with a deep dive into the security challenges of providing multi-account access to customer data using IAM trust policies, and a look at the personal picks from the hosts. Notable Links Fact - Passkeys: Phishing on Google's own domain and It isn't even new Episode: All About OTEL Episode: Self Healing Systems Picks: Warren - The Shadow (1994 film) Ang - Xreal Pro AR Glasses…
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Adventures in DevOps

1 The Open-Source Product Leader Challenge: Navigating Community, Code, and Collaboration Chaos 59:26
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אהבתי59:26
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 Links Veritasium - the Math that predicts everything Fact - Don't outsource your customer support: Clorox sues Cognizant CloudFlare uses an LLM to generate an OAuth2 Library Picks: Warren - Rands Leadership Community Meagan - The Manager's Path by Camille Fournier…
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Adventures in DevOps

1 FinOps: Holding engineering teams accountable for spend 55:07
55:07
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אהבתי55:07
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 babies Aimee - The Equip Protein Powder and Protein Bar Yasmin - Bone Broth drink by 1990 Snacks…
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Adventures in DevOps

1 The Auth Showdown: Single tenant versus Multitenant Architectures 53:24
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אהבתי53:24
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 Suade Aimee - Peloton Tread Brian - Searchcraft and Fight or Flight…
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Adventures in DevOps

1 Should We Be Using Kubernetes: Did the Best Product Win? 1:06:35
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אהבתי1:06:35
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. coli Picks Warren - Surveys are great, and also fill in the Podcast Survey Will - Katana.network Omer - Mobland and JJ (Jujutsu)…
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Adventures in DevOps

1 Mastering SRE: Insights in Scale and at Capacity with Aimee Knight 1:17:55
1:17:55
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אהבתי1:17:55
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: Survey Warren's Technical Blog Warren: The Fifth Discipline by Peter Senge Aimee: Sleep Token (Band) - Caramel , Granite Will: The Bear Grylls Celebrity Hunt on Netflix Jillian: Horizon Zero Dawn Video Game…
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Adventures in DevOps

1 Exploring MCP Servers and Agent Interactions with Gil Feig 1:04:57
1:04:57
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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: Survey Warren: The Magicians by Lev Grossman Gil: Constant Escapement in Watchmaking Will: Dungeon Crawler Carl & Atmos Clock…
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Adventures in DevOps

1 No Lag: Building the Future of High-Performance Cloud with Nathan Goulding 1:00:38
1:00:38
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אהבתי1:00:38
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: Survey Warren: Jetlag: The Game Nathan: Money Heist (La Casa de Papel)…
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Adventures in DevOps

1 Ground Truth & Guided Journeys: Rethinking Data for AI with Inna Tokarev Sela 52:45
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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: Survey Warren: The Non-Computability of Intuition Will: The Arc Browser Inna: Healthy GenAI skepticism…
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Adventures in DevOps

1 Incident Vibing: The Self-Healing System - DevOps 242 1:10:05
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Sylvain Kalache, Head of Developer Relations at Rootly joins us to explore the new frontier of incident response powered by large language models. We dive into the evolution of DevRel and how we meet the new challenges impacting our systems. We explore Sylvain's origin story in self-healing systems, dating back to his SlideShare and LinkedIn days. From ingesting logs via Fluentd to building early ML-driven RCA tools, he shares a vision of self-healing infrastructure that targets root causes rather than just restarting boxes. Plus, we trace the historical arc of deterministic and non-deterministic tools. The conversation shifts toward real-world applications, where we're combining logs, metrics, transcripts, and postmortems to give SREs superpowers. We get tactical on integrating LLMs, why fine-tuning isn't always worth it, and how the Model Context Protocol (MCP) could be the USB of AI ops, but how it is still insecure. We wrap by facing the harsh reality of "incident vibing" in a world increasingly built by prompts, not people—and how to prepare for it.Picks Warren: There is no AI Revolution Sylvain: Incident Vibing and Rootly Labs SRE event on April 24th…
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Adventures in DevOps

1 Decentralized Chaos: Web3 Infra, NodeOps, and the Art of Blockchain Load Balancing - DevOps 241 1:16:25
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This week, Paul Marston from Ankr joins the crew to unpack the madness that is modern blockchain infrastructure. From his wild career transition out of financial services into 24/7 node ops for Web3, Paul shares the brutal truth about uptime expectations, decentralization challenges, and why hard forks are more like enterprise schema upgrades with a community twist. If you’ve ever wondered why managing a blockchain node is like owning a temperamental pet server, this one’s for you. The team goes deep on the nitty-gritty of load balancing across dozens of chains, explaining why routing traffic to the “wrong” archive node could ruin your day—and how Ankr’s custom load balancer is basically magic for JSON-RPC calls. Warren tosses out wild scenarios about encrypted data smuggling via blockchain, while Will confesses his angry typing habit (yes, it’s back). The discussion gets even more fun with debates on innovation vs. rigor, Web2's forgotten best practices, and why testing in prod might not be such a dirty word after all. But don’t think it’s all crypto and code. Paul shares battle-won wisdom from running over 100 chains across bare metal, giving us a peek at the operational sophistication and automation involved. From Terraform templates to Docker configs, he walks through the process of onboarding new chains and tuning for performance. The episode also touches on emerging risks like data exfiltration via public blockchains, and why AI (used wisely) might just be the sidekick DevOps always needed. And of course memes, we talk a bit about this one: Tree Swing Product Development Picks Warren: Dvorak Keyboard Setup and Logitech K295 Will: Quirky Record Player from Miniot Paul: Super Whisper - Voice Transcription Tool…
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Adventures in DevOps

1 Observability in the CI/CD Pipeline with Adriana Villela - DevOps 240 1:21:08
1:21:08
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אהבתי1:21:08
In this episode, Will and Warren welcome Adriana Villela — CNCF ambassador, Dynatrace advocate, and host of the Geeking Out podcast — for a wide-ranging conversation on observability in CI/CD pipelines. Adriana shares her journey from “On Call Me Maybe” to her own podcast, her work with OpenTelemetry, and why observability isn’t just for SREs anymore. The crew digs into how telemetry should be integrated across the software development lifecycle — from development to QA to production — and what that really looks like in modern teams. Adriana drops knowledge on CI/CD failures, distributed traces, and even how to bring observability to other parts of the business like recruiting and onboarding. She also explains how she got involved in the OpenTelemetry end-user SIG and what’s next for the observability movement. Things get persona as we trade war stories about SVN, terrible version control systems, reusable grocery bags, and the ethics of AI log parsers. Adriana closes with a powerful take: observability is a team sport, and the better we play it, the more effective — and environmentally conscious — our systems can become.Picks Warren: Adventures In DevOps survey - How can we make it better for you? Adriana: Bouldering — she recommends it both as a physical activity and a therapeutic mental reset, especially when traveling Jillian: Expeditionary Force Will: Iron Neck and Purpose & Prophet…
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