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Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and... - Selection from Designing Data-Intensive Applications [Book]| O’Reilly Online Learning
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Great things don't happen in a vacuum. But creating an environment for creative thinking and innovation can be a daunting challenge. How can you make it happen at your company? The... - Selection from Gamestorming [Book]| O’Reilly Online Learning
If you need to build a scalable, fault tolerant system with requirements for high availability, discover why the Erlang/OTP platform stands out for the breadth, depth, and... - Selection from Designing for Scalability with Erlang/OTP [Book]| O’Reilly Online Learning
Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology| O’Reilly Media
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach … - Selection from AI Engineering [Book]| O’Reilly Online Learning
Chapter 4. The Three Pillars of Observability Logs, metrics, and traces are often known as the three pillars of observability. While plainly having access to logs, metrics, and... - Selection from Distributed Systems Observability [Book]| O’Reilly Online Learning
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Software development projects can be fun, productive, and even daring. Yet they can consistently deliver value to a business and remain under control. Extreme Programming (XP) was conceived and developed … - Selection from Extreme Programming Explained [Book]| O’Reilly Online Learning
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Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up into manageable sections. In this practical guide, author Kent Beck, creator of Extreme... - Selection from Tidy First? [Book]| O’Reilly Online Learning
Although service-level objectives (SLOs) continue to grow in importance, there’s a distinct lack of information about how to implement them. Practical advice that does exist usually... - Selection from Implementing Service Level Objectives [Book]| O’Reilly Online Learning
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our... - Selection from Data Mesh [Book]| O’Reilly Online Learning
For years, companies have rewarded their most effective engineers with management positions. But treating management as the default path for an engineer with leadership ability... - Selection from The Staff Engineer's Path [Book]| O’Reilly Online Learning
Tim O'Reilly attempts to clarify just what is meant by Web 2.0, the term first coined at a conference brainstorming session between O'Reilly Media and MediaLive International, which also spawned the Web 2.0 Conference.| www.oreilly.com
Many programmers code by instinct, relying on convenient habits or a "style" they picked up early on. They aren't conscious of all the choices they make, like how they format … - Selection from Perl Best Practices [Book]| O’Reilly Online Learning
Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of … - Selection from Clean Code: A Handbook of Agile Software Craftsmanship [Book]| O’Reilly Online Learning