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Title & Speakers	Event
Event Google NY Site Reliability Engineering (SRE) Tech Talks, 23 Sep 2025 2025-09-23
Retrieval Augmented Generation (RAG) to improve customer self-service and upskill your team's knowledge 2025-09-23 · 22:30 Victoria Wang – Sr SRE BigTable @ Google SRE gets many customer tickets, some of which are answered in the many go links we have on our page that no one will read. RAG trains an LLm on our codebase, internal documentation, forums, issues queries, etc. These contextual resources help the customer get better answers to their questions faster, freeing up time on both the customer, dev, and SRE side. Additionally, this helps train our team more efficiently as well. retrieval augmented generation LLM observability
Managing Kafka Reliability 2025-09-23 · 22:30 Drew Oetzel – Developer Advocate , Germain Cassis – Lead sales and alliances @ lenses.io , Kir Titievsky – Product Manager @ Google Apache Kafka is the simplest possible reliable, horizontally scalable low-latency storage system for commodity hardware. This is increasingly making it the backbone of analytic data collection stacks and event-bus like architectures. Critical systems like this require very reliable operations. Kafka is both stateful and distributed, so it has traditional sysadmin kind of problems and those that require pretty deep expertise. We will discuss the problems with CPU and disk capacity management as well as defining availability SLOs for a distributed stateful system. We will also show some of the ways in which the Google Cloud Managed Service for Apache Kafka and lenses.io helps in solving these problems in a demo. Kafka google cloud managed service for apache kafka lenses.io
Beyond the Dashboard: Enhancing DORA Intelligence with Generative AI 2025-09-23 · 22:30 Naveen Kumar – Founder & CEO @ truxt.ai DORA metrics are the gold standard for measuring software delivery performance and stability. However, conventional methods of capturing these metrics are increasingly challenged by siloed DevOps toolchains, manual data collection, and the growing prevalence of AI-generated code in production. Enterprise delivery pipelines demand resilience and accuracy, but today's measurement systems struggle with both integration complexity and the specialized expertise required to operate in large, distributed environments. This talk will discuss these challenges in detail and show how Generative AI can elevate DORA from static, descriptive dashboards to dynamic diagnostic, prescriptive, and predictive insights—unlocking a new era of actionable intelligence. generative ai dora metrics DevOps

Retrieval Augmented Generation (RAG) to improve customer self-service and upskill your team's knowledge 2025-09-23 · 22:30

Victoria Wang – Sr SRE BigTable @ Google

SRE gets many customer tickets, some of which are answered in the many go links we have on our page that no one will read. RAG trains an LLm on our codebase, internal documentation, forums, issues queries, etc. These contextual resources help the customer get better answers to their questions faster, freeing up time on both the customer, dev, and SRE side. Additionally, this helps train our team more efficiently as well.

retrieval augmented generation LLM observability

Managing Kafka Reliability 2025-09-23 · 22:30

Drew Oetzel – Developer Advocate , Germain Cassis – Lead sales and alliances @ lenses.io , Kir Titievsky – Product Manager @ Google

Apache Kafka is the simplest possible reliable, horizontally scalable low-latency storage system for commodity hardware. This is increasingly making it the backbone of analytic data collection stacks and event-bus like architectures. Critical systems like this require very reliable operations. Kafka is both stateful and distributed, so it has traditional sysadmin kind of problems and those that require pretty deep expertise. We will discuss the problems with CPU and disk capacity management as well as defining availability SLOs for a distributed stateful system. We will also show some of the ways in which the Google Cloud Managed Service for Apache Kafka and lenses.io helps in solving these problems in a demo.

Kafka google cloud managed service for apache kafka lenses.io

Beyond the Dashboard: Enhancing DORA Intelligence with Generative AI 2025-09-23 · 22:30

Naveen Kumar – Founder & CEO @ truxt.ai

DORA metrics are the gold standard for measuring software delivery performance and stability. However, conventional methods of capturing these metrics are increasingly challenged by siloed DevOps toolchains, manual data collection, and the growing prevalence of AI-generated code in production. Enterprise delivery pipelines demand resilience and accuracy, but today's measurement systems struggle with both integration complexity and the specialized expertise required to operate in large, distributed environments. This talk will discuss these challenges in detail and show how Generative AI can elevate DORA from static, descriptive dashboards to dynamic diagnostic, prescriptive, and predictive insights—unlocking a new era of actionable intelligence.

generative ai dora metrics DevOps

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