Software Engineering Daily

Monitoring translates machine data into actionable business metrics, and is a key component of a modern software company. James Turnbull’s new book “The Art of Monitoring” describes how organizations can build their monitoring infrastructure.

James joins the show today to outline the strategies that a company can use to proactively monitor their systems. We talk about pull- vs. push-based monitoring, events, logging, metrics, and James’s experience as CTO of Kickstarter.

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Lee Atchison spent seven years at Amazon working in retail, software distribution, and Amazon Web Services. He then moved to New Relic, where he has spent four years scaling the company’s internal architecture. From his decade of experience at fast growing web technology companies, Lee has written the book Architecting for Scale, from O’Reilly.

As an application scales, it becomes significantly more complicated while at the same time receiving more traffic. The intersection of these two problems leads to a variety of discussions around availability, risk management, and microservices. Lee and I didn’t have time to get through everything in his book Architecting for Scale, but if you enjoy this episode, check out the book. Lee also spoke recently at the O’Reilly Velocity conference in Santa Clara, so you can check out his talk.

We are giving away a free ticket to O’Reilly’s Velocity 2016 conference in New York. If you want to be entered to win that ticket, send a tweet about your favorite SE Daily episode about dev ops or web performance, and tag software_daily, as well as #velocityconf.

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Scheduling is the method by which work is assigned to resources to complete that work. At the operating system level, this can mean scheduling of threads and processes. At the data center level, this can mean scheduling Hadoop jobs or other workflows that require the orchestration of a network of computers.

Adrian is well-known for helping bring Netflix onto Amazon Web Services, and I recommend watching the numerous YouTube videos of Adrian talking about that transformation.

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In 1999, it took $50,000 to buy a server. Once you bought that server, you had to know how to operate and maintain it. Today, cloud service providers have changed how we build software. Servers, load balancers, networking, storage–these hardware concerns have been turned into software.

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Six years ago, Twitter was experiencing outages due to high traffic. Back in 2010 Twitter was built as a monolithic Ruby on Rails application. Twitter migrated to a microservices architecture to fix these problems. During this migration, the engineers at Twitter learned how to build and scale highly distributed microservice architectures.

William Morgan was an engineer at Twitter during that time, and he is now the CEO of Buoyant.io, a company building open-source microservices infrastructure. Some of the big problems at Twitter were solved at the communication layer, using an RPC library called Finagle. At Buoyant, those lessons are being applied to a project called Linkerd, an RPC proxy.

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Mass customization is the process of making customized, personalized products that are accessible to individuals and small businesses. The process involves manufacturing, assembly lines, supply chains, and software at every step along the way. Today’s guests are Jim Sokoloff and Maarten Wensveen, who work on infrastructure and technology at Cimpress, a mass customization platform.

Cimpress has t shirt printers, warehousing machines, supply chain management tools, and lots of other computers that come together in the computer-integrated manufacturing process. The company has been around for a few decades, and more recently they have moved to microservices for many of the reasons that have been discussed in previous episodes. If you work at a big company with some monolithic characteristics, this episode might give you some good arguments to bring to your manager about why and how to move to microservices.

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