## Make Successor Build Systems: A World Tour of Build Systems Towards Better C++ Builds DAMIEN BUHL & ANTONIO DI STEFANO 20 23 October ## Reliable, Fast and Safe Builds ![Image](/uploads/doc strokes # That requires a decent amount of CPU power Let's look at other build systems ## Learning from other build-systems ## Parallelism How many independent targets can a build system run concurrently provide centralised repositories of dependencies tweaked to better work with the respective build systems ## Will it CMake? ## But package management in C++ is ## Actually we have a good solution • CMake

## Scalable Stream Processing - Spark Streaming and Flink Amir H. Payberah payberah@kth.se 05/10/2018 https://id2221kth.github.io ## Data Processing Graph Data Pregel, GraphLab, PowerGraph GraphX Distributed File Systems ## Data Storage GFS, Flat FS NoSQL Databases Dynamo, BigTable, Cassandra ## Distributed Messaging Systems Kafka Resource Management Mesos. YARN ## Stream Processing Systems Design streaming sources: 1. Basic sources directly available in the StreamingContext API, e.g., file systems, socket connections. 2. Advanced sources, e.g., Kafka, Flume, Kinesis, Twitter. 3. Custom sources

## +24 ## Balancing Efficiency and Flexibility: Cost of Abstractions in Embedded Systems MARCELL JUHASZ  zühlke ## whoami

## +23 ## Building Effective Embedded Systems: Architectural Best Practices ## GILI KAMMA ## 20 23 October 01 - 06 ## I am Gili Kamma I love technology & people 20 years of experience R&D Exploring best practices in embedded systems, with a focus on operating systems Today’s spotlight: Exploring best practices in embedded systems, with a focus on operating systems Today’s take away: Practical Practical tips for building better software, applicable not only to embedded systems but also to software in general ## Every rule presented here comes with an exception Software isn't black and white #

## Design and Implementation of Highly Scalable Quantifiable Data Structures in C++ ## CHRISTINA PETERSON, VICTOR COOK, ZACHARY PAINTER 2021 | October 24-29 ## Overview Motivation Correctness (Safety) search for reductions ▶ Growth of distributed software applications: blockchain, distributed file systems, network apps ## Desiderata ▶ Native concurrent correctness, independent of sequential history last two) ## First Principles ## I nspired by Descartes Applying Cartesian thought to concurrent systems, we see that first principles describe what the program does (what is programmed), while secondary

have a scalable, redundant and feature rich solution ## • Go Language • Systems programming language • Compiles to binary code for target OS/Architectures • Cross compile on many operating systems • Access Access to scalable cloud computing environments • MGO driver for Go provides excellent MongoDB support ## • MongoDB • Scalability and redundancy out of the box • Great MongoDB hosting providers • and Beego are powerful technologies. • Create data driven and dynamic systems with Go and MongoDB. • Leverage powerful cloud systems like Iron.IO and Heroku. • The MongoDB aggregation pipeline is fast

Nanoseconds Matter: Ultrafast Trading Systems in C++ ## DAVID GROSS ## 2024 September 15 - 20 ## I ntroduction • About me - Leading the Options Automated Trading Systems team at Optiver, a global market market maker company - Worked on low-latency systems for 15 years in Trading and Defense  ## I ntroduction • About me Leading Trading Systems team at Optiver, a global market maker company - Worked on low-latency systems for 15 years in Trading and Defense • Today's talk - Engineering low-latency trading systems - Profiling

## CrateDB Real-Time Unified Data Layers: A New Era for Scalable Analytics, Search, and AI # Table of Contents 1\. Introduction 2. The Interconnection of Analytics, Search, and AI 3. What is a Real-Time across a growing number of sources and formats, data engineering and architecture teams must design systems that not only scale but also deliver real-time access and insights. However, the complexity isn’t of structured, semi-structured, and unstructured data with high-quality indexing. Yet, fragmented systems and inconsistent formats create silos, limiting accessibility and reducing effectiveness. - Scalability

## Building resilient systems inside the mesh: abstraction and automation of Virtual Service generation Vladimir Georgiev, Thought Machine ## I stioCon ## Sync calls failures inside the mesh - Everyone

## +24 ## LLVM's Realtime Safety Revolution: Tools for Modern Mission Critical Systems DAVID TREVELYAN & CHRISTOPHER APPLE ## Chris Apple ## David Trevelyan • 10-year veteran of the audio industry