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Marc Brooker, Mike Danilov, Chris Greenwood, and Phil Piwonka, Amazon Web Services Awarded Best Paper! AWS Lambda is a serverless event-driven compute service, part of a category of cloud compute offerings sometimes called Function-as-a-service (FaaS). When we first released AWS Lambda, functions were limited to 250MB of code and dependencies, packaged as a simple compressed archive. In 2020, we r

Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service Mostafa Elhemali, Niall Gallagher, Nicholas Gordon, Joseph Idziorek, Richard Krog, Colin Lazier, Erben Mo, Akhilesh Mritunjai, Somu Perianayagam ,Tim Rath, Swami Sivasubramanian, James Christopher Sorenson III, Sroaj Sosothikul, Doug Terry, Akshat Vig, Amazon Web Services Amazon DynamoDB is a NoSQL cloud

By now effectively all ;login:’s readers have heard the term “web3” and “dapps” bandied about as if they are some great revolution.  They are not.  The technical underpinnings are so terrible that it is clear they exist only to hype the underlying cryptocurrencies.  The actual utility of these “decentralized” systems is already available in modern distributed systems in ways that are several order

Note: Presentation times are in Coordinated Universal Time (UTC). In this talk we'll discuss some key principles and lessons learned that I've developed and refined in more than 10 years of experience as a Site Reliability Engineer across several teams within Google and Microsoft. These are topics that often come up as I discuss Site Reliability Engineering with Microsoft customers that are at dif

Anthony Rebello, Yuvraj Patel, Ramnatthan Alagappan, Andrea C. Arpaci-Dusseau, and Remzi H. Arpaci-Dusseau, University of Wisconsin - Madison We analyze how file systems and modern data-intensive applications react to fsync failures. First, we characterize how three Linux file systems (ext4, XFS, Btrfs) behave in the presence of failures. We find commonalities across file systems (pages are always

Linux Productivity Tools Ketan M. (km0@ornl.gov) Oak Ridge National Laboratory 1 LISA19 October 2019 Portland, OR, USA Table of Contents • Part 1: Overview and Logistics • Part 2: Basics • Part 3: Streams, pipe and redirection • Part 4: Classic Tools: find, grep, awk, sed • Part 5: Session Management: tmux • Part 6: ssh: config and tunneling • Part 7: Bash Tools • Part 8: Miscellaneous Utilities •

Firecracker: Lightweight Virtualization for Serverless Applications Alexandru Agache, Marc Brooker, Andreea Florescu, Alexandra Iordache, Anthony Liguori, Rolf Neugebauer, Phil Piwonka, and Diana-Maria Popa, Amazon Web Services Serverless containers and functions are widely used for deploying and managing software in the cloud. Their popularity is due to reduced cost of operations, improved utiliz

Understanding Kubernetes Storage: Getting in Deep by Writing a CSI Driver Understanding the many Kubernetes storage ‘objects’ along with their not-always-obvious interaction and life-cycles can be daunting (Volumes, Persistent Volumes, Persistent Volume Claims, Volume Attachments, Storage Classes, Volume Snapshots, CSIDriver, CSINode, oh my...) Perhaps the best ways to gleen a deep understand of t

Abhinav Jangda, Bobby Powers, Emery D. Berger, and Arjun Guha, University of Massachusetts Amherst All major web browsers now support WebAssembly, a low-level bytecode intended to serve as a compilation target for code written in languages like C and C++. A key goal of WebAssembly is performance parity with native code; previous work reports near parity, with many applications compiled to WebAssem

Few companies invest in SRE before there is a raging operational fire on their hands. As a result SREs often start out as firefighters, desperately trying to keep the company alive for one more day. Once we put out the fires and our site is safe we can begin evolving—but where to? In this talk we share the five distinct stages of SRE evolution. Moreover we’ll cover the transition of roles and resp

Profiling JVM Applications in Production Sasha Goldshtein CTO, Sela Group @goldshtn github.com/goldshtn https://s.sashag.net/srecon0318 Workshop Introduction • Mission: Apply modern, low-overhead, production-ready tools to monitor and improve JVM application performance on Linux • Objectives: qIdentifying overloaded resources qProfiling for CPU bottlenecks qVisualizing and exploring stack traces u

The benefits and costs of writing a POSIX kernel in a high-level language This paper presents an evaluation of the use of a high-level language (HLL) with garbage collection to implement a monolithic POSIX-style kernel. The goal is to explore if it is reasonable to use an HLL instead of C for such kernels, by examining performance costs, implementation challenges, and programmability and safety be

Man-in-the-Machine: Exploiting Ill-Secured Communication Inside the Computer Thanh Bui and Siddharth Prakash Rao, Aalto University; Markku Antikainen, University of Helsinki; Viswanathan Manihatty Bojan and Tuomas Aura, Aalto University Operating systems provide various inter-process communication (IPC) mechanisms. Software applications typically use IPC for communication between front-end and bac

The Battle of the Schedulers: FreeBSD ULE vs. Linux CFS Justinien Bouron, Sebastien Chevalley, Baptiste Lepers, and Willy Zwaenepoel, EPFL; Redha Gouicem, Julia Lawall, Gilles Muller, and Julien Sopena, Sorbonne University/Inria/LIP6 This paper analyzes the impact on application performance of the design and implementation choices made in two widely used open-source schedulers: ULE, the default Fr

Shopify has grown from less than 20 production services in 2011 to more than 400 in 2017. These services currently run on a wide variety of production environments making it harder to share tools across applications. Moving to the cloud is a common occurrence but Shopify decided to build a platform as a service (PaaS) to consolidate all production environments. This PaaS was built on a public clou

João Taveira Araújo, Lorenzo Saino, Lennert Buytenhek, and Raul Landa, Fastly Content delivery networks and edge peering facilities have unique operating constraints which require novel approaches to load balancing. Contrary to traditional, centralized datacenter networks, physical space is heavily constrained. This limitation drives both the need for greater efficiency, maximizing the ability to

Mingkai Dong and Haibo Chen, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University Fast, byte-addressable NVM promises near cache latency and near memory bus throughput for file system operations. However, unanticipated cache line eviction may lead to disordered metadata update and thus existing NVM file systems (NVMFS) use synchronous cache flushes to ensure consistency, wh

Monitoring and dashboarding systems are crucial to understanding the behavior of large distributed systems. But monitoring systems can lead you on wild goose chases, or hide issues. In this talk, I will look at some examples of how a monitoring system can lie to you – in order to sensitize the audience to these failure modes and encourage them to look for similar examples in their own systems. Seb