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Database Reliability Engineering: Designing and Operating Resilient Database Systems
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About the Author
Laine Campbell is a co-founder at Pythian, where she leads the open source database practice. She specializes in database architecture and operations, particularly MySQL and Cassandra. Laine founded and led PalominoDB, then Blackbird for 8 years, where her team of DBAs supported many of the most exciting database infrastructures in the industry. Before that, she designed, built and supported the Travelocity databases for 8 years with a remarkable team. She lives in Las Vegas, and travels extensively.Charity Majors is a Production Engineering Manager working on Parse at Facebook, with over 10 years of experience running operations for some of the world's fastest-growing tech startups. Before Parse she built infrastructure and teams for a series of startups, including Linden Lab and Shopkick. She loves hard scaling problems of all kinds, both technical and cultural, but always seems to end up doing stuff with databases. Rants a lot about ops, devops, performance tuning and culture. Charity lives in San Francisco and is never, ever leaving.
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Product details
Paperback: 294 pages
Publisher: O'Reilly Media; 1 edition (November 23, 2017)
Language: English
ISBN-10: 1491925949
ISBN-13: 978-1491925942
Product Dimensions:
7 x 0.6 x 9.2 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
16 customer reviews
Amazon Best Sellers Rank:
#422,775 in Books (See Top 100 in Books)
The authors have very, very deep knowledge - not just database specifics, but how the database interacts with applications and business requirements. They abstract their experience just enough to make it relevant to all data professionals, yet keep the language clear enough that it's still directly mappable to the technologies you use today.It's the kind of book that's easy to read, and hard to implement. Seriously, just implementing the SLOs described in chapter 2 takes most traditional companies months to agree on and monitor.Over time, the brand names and open source tools will change, but the concepts are going to be rock solid for at least a decade. This book is a great waypoint marker set about 5-10 years in the future for most of us, but it'll be one you'll be excited to work towards.
A great book for anyone looking to take over the datastore layer of their growing company or for old schoolers looking to modernizes their skills for the times to come.Laine has founded one of the best and most well known MySQL DBA consultancies and Charity took a bleeding edge database like Mongo and helped shape it into a better technology and with both of them as authors you get expertise and perspective that is geared towards quality of service and operating at scale without any tech worship bias or market-speak.
Database Reliability Engineering - highly recommended. I learned a lot and will be referring to this book over the course of the year as I make some changes in my company's engineering practices.I expected this book to cover techniques and patterns for building reliability and resiliency into databases. It delivered on that, but lots more as well. The book starts with a discussion of SLAs, SLOs, risk management, and visibility - after all, you can't really say meaningful things about reliability until you say what you mean BY reliability, in the context of your organizational commitments. Much of the rest of the book grounds back in this discussion in terms of how different techniques are relevant at different SLO and risk tradeoffs, and what things you need to watch to know how you're doing relative to these tradeoffs. It also notes that you can't prevent failures, so rather than trying to engineer with that as the goal (which results in fragile and brittle systems), it's wiser to aim for resiliency and recoverability. We're almost to page 75 before the book gets into meaty database topics like database-specific metrics (IOPS, TPS). We then dive into infrastructure, backup and recovery (and the importance of practicing - backup is boring, but when you need it, functional recovery is awesome like nothing else). The later chapters cover security, crypto, replication, and an overview of datastore architectures (not just relational). The book is a great blend of general guidelines and advice, concrete actions to consider, and architectural patterns that help you reason about data storage in general. Across all of the topics, you'll hear a lot about automation, infrastructure as code, and the need to automate routine operations to ensure consistency, repeatability, and ability to execute in a hurry.This should not be your first book on databases. It assumes a significant level of knowledge about data storage, devops, and automation. However, if you're responsbile for keeping a database system up and running, because that database is keeping your business up and running, this book deserves a place on your bookshelf.
"Database Reliability Engineering: Designing and Operating Resilient Database Systems" presents an actionable, reality-tested framework for helping your business develop a disciplined, sustainable ethos towards some of its' most valuable assets: its data.The authors of this book have the breadth and depth of knowledge and experience that can *only* come from observing unexpected behavior in complex systems built and operated by real humans working for actual companies.The structure and fluidity of the material also set it apart from other books I've read on database administration. After establishing the "guiding principles" of DBRE, I was pleasantly surprised to find a thoughtful framing of the friction between Development and Operations through the lens of Abraham Maslow's "A Theory of Human Motivation."While the section on Service-Level Objectives is worth the price of the book alone, Laine and Charity apply a similarly deliberate, grounded style to the wealth of technical material as well. You'll learn:* the importance of taking your data infrastructure seriously* what an OpViz framework is and why it matters* that failure is inevitable no matter who runs your hardware* why you should plan beyond "Step 1. Restore from backup."* how testing and development environments aren't just for developers anymore* your data lives on physical computers and computers are terrible* to insert and retrieve data, you use a network (fact: also terrible)* the importance of data security and integrity* tradeoffs of different memory allocation implementations* what CRDTs are and why they matter* and much, much moreThe authors' present reality and a framework for coping with it and advance the discussion of reliability by doing so. Much like "Release It!", "Continuous Delivery", "Web Operations", and "Systems Performance" before it, I believe "Database Reliability Engineering" will become essential reading for people making bits move.
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