## 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

## +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 #

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

## 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

language. - It will also touch on tooling and resources for programming on resource constrained systems. ## Definitions C++ • What is C++? • Probably a silly thing to be defining what C++ is at a C++ in the “Developing” World. ## Solving The Riddle With Software • In the “Developing World”, the systems available to most users is usually underpowered or very power inefficient. • Therefore Software safer tools to experiment, optimize and interact with our systems. - It may be the safest way to access system level features of our operating systems in a safer way. Alot of the software and libraries commonly

591 K1: Data Stream Processing and Analytics Spring 2020 ## 1 /28: Stream ingestion and pub/sub systems Vasiliki (Vasia) Kalavri vkalavri@bu.edu ## Streaming sources  Publish/Subscribe Systems ## Publish/Subscribe Systems publisher Event Service Subscription management publisher ![Image](/uploads all sub-topics of that topic, too. - Topic names are represented with URL-like notation and some systems also allow the use of wildcards. ## Content-based Pub/Sub • Events are grouped according to event

u|Anthos| |---|---|---|---|---| |Application Catalog|●|●|●|●| |Provision with Config Management Systems|●|●|●|●| |Integration with CI/CD Solutions|●|●|●|●| |Advanced Monitoring|●|●|●|●| |Alerts and No feature (BYOH). Tanzu's BYOH feature allows operators to use different platforms and operating systems; however, in doing so, operators will lose access to some features of Tanzu. Upgrades are bound Kubernetes distribution originally developed by the SUSE Rancher team that can run in remote, resource-constrained environments including Raspberry Pi. In August 2020, K3s was accepted as a CNCF Sandbox project

feature rich solution ## • Go Language • Systems programming language • Compiles to binary code for target OS/Architectures • Cross compile on many operating systems • Access to scalable cloud computing 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 a seamless way to process datasets. • These technologies can be used to create highly scalable systems. # gophercon.ardanstudios.com BUILDING a Relevancy ENGINE using mongoDB & =60 ArdanStudios