SRE Prodcast brings Google's experience with Site Reliability Engineering together with special guests and exciting topics to discuss the present and future of reliable production engineering!
Reliability in software engineering stems from prioritizing simplicity and systematically addressing the "long tail" of idiosyncratic edge cases. Tailscale achieves this by utilizing a mesh network architecture that remains consistent across scales, from individual home labs to large enterprise deployments. By aggregat...
Managing large-scale cloud infrastructure requires evolving beyond simple virtual machine provisioning to orchestrating complex, integrated systems including networks, firewalls, and load balancers. Google Compute Engine exemplifies this shift, operating as a "data center in a box" that necessitates specialized SRE tea...
The necessity of human expertise increases alongside the adoption of artificial intelligence in complex systems. Courtney Nash, co-founder of The Void and an expert in cognitive science, argues that while AI is often marketed as a tool to simplify operations, the resolution of critical failures—such as metastable failu...
Expertise in software engineering functions similarly to gravity—it is a ubiquitous yet often overlooked force that drives both success and failure. While organizations invest heavily in interviewing to gauge candidate expertise, they frequently fail to analyze how that knowledge is maintained or transferred beyond for...
SREcon Americas serves as a critical practitioner-focused gathering where the messy, non-linear reality of production software is prioritized over idealized theoretical models. John Allspaw, a resilience engineering expert and former Velocity Conference chair, highlights that the "no bullshit" culture of the SRE commun...
Home labbing serves as a powerful catalyst for professional growth and technical mastery within the site reliability engineering field. Ricard Bejarano, a lead SRE at Cisco’s Thousand Eyes and author of The Home Lab Handbook, explains how transitioning from Docker to Kubernetes in a personal environment directly transl...
The rapid integration of AI and agentic workflows is fundamentally reshaping the role of Site Reliability Engineers (SREs), shifting the profession from human-centric operations to human-supervised automation. This transition demands a move toward broader, generalist capabilities, as agents increasingly handle code cre...
Burnout in the SRE industry manifests through symptoms like diminished motivation, emotional exhaustion, and a persistent inability to accept help. Addressing this requires applying systems engineering principles to personal well-being: treat the self as a system by monitoring indicators of health—similar to SLIs—and i...
Crisis management requires recognizing that organizations only abandon entrenched, ineffective habits when faced with an existential threat. During these brief windows of total disintegration, leaders can steer teams toward necessary structural adaptations. Site Reliability Engineers are uniquely positioned to act as f...
Mean Time To Repair (MTTR) remains a problematic metric in site reliability engineering because it lacks statistical significance and fails to capture actual business impact. Incidents of varying durations often result in vastly different outcomes, rendering time-based averages misleading for operational decision-makin...
The podcast explores the evolution of reliability engineering within Google DeepMind, focusing on the unique challenges and adaptations required in a research-oriented environment. Damion Yates, based in London at Google DeepMind, recounts his initial role in introducing reliability concepts to a team primarily focused...
The podcast explores the concept of "crisis engineering," distinguishing it from standard incident response with its focus on novel, high-stakes situations lacking established playbooks. Carla Geisser from LayerEleph, a crisis engineering firm, defines a crisis by five elements: fundamental surprise, broken critical fu...
The podcast explores the challenges and novel tooling involved in ensuring the safety and reliability of AI models in production. It highlights the shift from well-defined safety boundaries in traditional systems to the open-ended interactions of modern AI, making safety a squishy continuum encompassing quality and use...
The podcast explores the gLinux platform at Google, focusing on managing and securing a large fleet of devices. Shannon Neufeld-Brady from the gLinux team discusses the team's shift from traditional SRE roles while maintaining SRE principles. Key strategies include rigorous testing, canarying, and monitoring, along wit...
The podcast explores the application of AI in site reliability engineering (SRE), particularly focusing on how AI can be used to reduce toil and improve incident management. Denia del Cid, an SRE at Google, discusses her work on using AI to analyze support cases and ticket queues, enabling earlier detection of outages ...
The podcast explores the intersection of site reliability engineering (SRE) and cybersecurity, particularly during incidents. Heather Adkins from Google's Office of Cybersecurity Resilience, highlights the key difference: security incidents are often instigated by malicious actors, requiring anticipation of their behav...
The podcast explores the practical application of Service Level Objectives (SLOs) in diverse organizational settings, addressing common challenges and misconceptions. It emphasizes that successful SLO adoption requires ownership and participation from the teams responsible for both writing and running the code, rather ...
In this episode of the Google SRE podcast, Matt Siegler and Florian Rathgeber interview Steph Hippo, Platform Engineering Director at Honeycomb, about the influence of AI on observability and SRE practices. Steph discusses how AI and observability create a self-reinforcing loop, with AI providing insights that enhance ...
In this episode of Google's podcast about site reliability engineering, Steve McGhee and Kaslin Fields host Ben Good to discuss platform engineering and its relationship to Kubernetes. They explore how Kubernetes serves as a foundation for building platforms, emphasizing that it's a key tool but not the only requiremen...
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