talk-data.com talk-data.com

Topic

monitoring

10

tagged

Activity Trend

2 peak/qtr
2020-Q1 2026-Q1

Activities

10 activities · Newest first

Observability Engineering, 2nd Edition

Observability is the only way to engineer, manage, and improve the business-critical systems that customers depend on every day—and as the complexity of software grows, so does the need for observability. With this thoroughly revised second edition, authors Charity Majors, Liz Fong-Jones, and George Miranda take inventory of the current state of the field and explain how practitioners can evolve their observability practices from collecting separate, disparate signals to unified data workflows. This book is for any software engineering team, large or small, that must understand the unique customer experience in order to ship quality code and features that customers want, at the right velocity. You'll discover the value that observable systems bring and learn concrete steps you can follow to achieve an observability-driven development practice yourself. And four completely new chapters explore recent trends such as large language models, frontend observability, cost optimization/performance engineering, and practical open source tooling. Understand the impact observability has across the entire software development lifecycle Learn how and why different functional teams use observability with service-level objectives Implement modern observability practices in your organization Maximize the cost-effectiveness of observability tooling Produce quality code for context-aware system debugging and maintenance Use data-rich analytics to quickly find answers when maintaining site reliability

An in-depth talk by Orell Garten on how his background in high-precision electromagnetic simulations informs rapid prototyping, automation, and production-grade data pipelines. Topics include Simulation Foundations, Rapid MVPs, Production Checklist (CI/CD, monitoring, schema versioning), and Workflow Automation.

Learn how to simplify and automate Kubernetes ingress management using Kong Gateway Operator for efficient application deployment and scaling. From gateway deployment essentials to advanced lifecycle management techniques, you'll learn to optimize your infrastructure, implement automated rollouts, and adapt to changing traffic patterns.

I am a big believer in synthetic monitoring as a concept to build reliable production services. If engineers are supposed to run what they build, they need monitoring tools that work for them. I have built my own custom solutions in the past using Jenkins or GH Actions and later used SaaS tools for this. I want to share my experience how I got frontend engineers to build monitoring and get everyone on an engineering team to care about production system reliability. Daniel Paulus is an accomplished technology leader, presently leading as the VP of Engineering at Checkly, building synthetic monitoring with Playwright.

Step into the world of promptiverse guardianship as we explore strategies to ensure the safety and security of your Large Language Model solutions. This talk is a fun and informative journey into defending against prompt hacking, covering techniques like prompt engineering and vigilant monitoring. Join us as we empower you to become a guardian of your LLM, safeguarding it against potential threats and ensuring its integrity in the ever-evolving digital landscape.

Julius will give a quick update on the latest developments in Prometheus and then give a deep dive into the new experimental native histograms: Histograms are crucial for anyone who wants to track service latency and other numeric value distributions in Prometheus. However, the existing "legacy" histograms in Prometheus come with a number of painful drawbacks: they require manual and static bucket configuration, generate a separate time series for each configured histogram bucket, and thus require you to make hard tradeoffs between a histogram's resolution and cost. This is where the new "native" histogram metric type comes in. These native histograms allow you to track value distributions in higher detail at a significantly lower storage and processing cost, while also reducing the manual bucket configuration effort. Julius will explain how native histograms work, how they achieve these key benefits, and how you can use them in Prometheus today in an experimental fashion.

Observability Engineering

Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experience of each and every user. This practical book explains the value of observable systems and shows you how to practice observability-driven development. Authors Charity Majors, Liz Fong-Jones, and George Miranda from Honeycomb explain what constitutes good observability, show you how to improve upon what you're doing today, and provide practical dos and don'ts for migrating from legacy tooling, such as metrics, monitoring, and log management. You'll also learn the impact observability has on organizational culture (and vice versa). You'll explore: How the concept of observability applies to managing software at scale The value of practicing observability when delivering complex cloud native applications and systems The impact observability has across the entire software development lifecycle How and why different functional teams use observability with service-level objectives How to instrument your code to help future engineers understand the code you wrote today How to produce quality code for context-aware system debugging and maintenance How data-rich analytics can help you debug elusive issues