tag

Distributed Systems

  1. #57 6 min

    Take It to the Limit: Considerations for Building Reliable Systems

    Complex systems usually operate in failure mode. This is because a complex system typically consists of many discrete pieces, each of which can fail in isolation (or in concert). In a microservice architecture where a given function potentially comprises several independent service calls, high availability hinges on the ability to be partially available. This is a core tenet behind resilience engineering. If a function depends on three services, each with a reliability of 90%, 95%, and 99%, respectively, partial availability could be the difference between 99.995% reliability and 84% reliability (assuming failures are independent). Resilience engineering means designing with failure as the normal.

  2. #56 13 min

    Benchmarking Commit Logs

    In this article, we look at Apache Kafka and NATS Streaming, two messaging systems based on the idea of a commit log. We’ll compare some of the features of both but spend less time talking about Kafka since by now it’s quite well known. Similar to previous studies, we’ll attempt to quantify their general performance characteristics through careful benchmarking. The purpose of this benchmark is to test drive the newly released NATS Streaming system, which was made generally available just in the last few months. NATS Streaming doesn’t yet support clustering, so we try to put its performance into context by looking at a similar configuration of Kafka.

  3. #52 22 min

    So You Wanna Go Fast?

    I originally proposed this as a GopherCon talk on writing “high-performance Go”, which is why it may seem rambling, incoherent, and—at times—not at all related to Go. The talk was rejected (probably because of the rambling and incoherence), but I still think it’s a subject worth exploring. The good news is, since it was rejected, I can take this where I want. The remainder of this piece is mostly the outline of that talk with some parts filled in, some meandering stories which may or may not pertain to the topic, and some lessons learned along the way. I think it might make a good talk one day, but this will have to do for now.

  4. #50 21 min

    From the Ground Up: Reasoning About Distributed Systems in the Real World

    The rabbit hole is deep. Down and down it goes. Where it ends, nobody knows. But as we traverse it, patterns appear. They give us hope, they quell the fear. Distributed systems literature is abundant, but as a practitioner, I often find it difficult to know where to start or how to synthesize this knowledge without a more formal background. This is a non-academic’s attempt to provide a line of thought for rationalizing design decisions. This piece doesn’t necessarily contribute any new ideas but rather tries to provide a holistic framework by studying some influential existing ones. It includes references which provide a good starting point for thinking about distributed systems. Specifically, we look at a few formal results and slightly less formal design principles to provide a basis from which we can argue about system design.

  5. #48 5 min

    Infrastructure Engineering in the 21st Century

    Infrastructure engineering is an inherently treacherous problem space because it’s core to so many things. Systems today are increasingly distributed and increasingly complex but are built on unreliable components and will continue to be. This includes unreliable networks and faulty hardware. The 21st century engineer understands failure is routine. Naturally, application developers would rather not have to think about low-level failure modes so they can focus on solving the problem at hand. Infrastructure engineers are then tasked with competing goals: provide enough abstraction to make application development tractable and provide enough reliability to make subsystems useful. The second goal often comes with an additional proviso in that there must be sufficient reliability without sacrificing performance to the point of no longer being useful. Anyone who has worked on enterprise messaging systems can tell you that these goals are often contradictory. The result is a wall of sand intended to keep the developer’s feet dry from the incoming tide. The 21st century engineer understands that in order to play in the sand, we all need to be comfortable getting our feet a little wet from time to time.