Introduction Background Operations & observability Outro Intro to Prometheus With a dash of operations & observability Richard Hartmann & Frederic Branczyk @TwitchiH & @fredbrancz 2018-12-12 Richard Hartmann & Frederic Branczyk @TwitchiH & @fredbrancz Intro to Prometheus Introduction Background Operations & observability Outro Who are we? Richard ”RichiH” Hartmann Swiss army chainsaw at SpaceNet Hartmann & Frederic Branczyk @TwitchiH & @fredbrancz Intro to Prometheus Introduction Background Operations & observability Outro Time split 1 1/3 Prometheus 2 1/3 Observability 3 1/3 Questions Richard

Monadic Operations in Modern C++: A Practical Approach2About me ● Vitaly Fanaskov ● Senior software engineer at reMarkable ● 10+ years of C++ experience ● GIS, VFX, frameworks, and libraries ● Ph (CS) 3Agenda ● Briefly about expected and optional ● Common use cases of expected ● Monadic operations in software development ● Tips and tricks 4In this talk ● Less theory ● C++ only ● Practical a new widget {}: {}.", widgetBox.value(), error); } } 22How do we handle this? 23Monadic operations: and_then if (const auto widgetBox = getNewWidget(); widgetBox.has_value()) { const auto

Title: Pipeline architectures in C++: overloaded pipe operator | std::expected and its monadic operations Brief overview: Functional programming in C++ is gaining importance and is attracting programmers operator | will be presented, as well as I’ll explain std::expected and especially its monadic operations that can be tricky in practice. All these together present novel and efficient programming paradigms What's more, std::expected itself allows you to build pipelines – this time using its monadic operations. In this poseter I will explain details how to build your own pipeline architecture in modern

machine. The instructions of an abstract machine are tailored to the particular operations required to implement operations of a specific source language or class of languages.” (my emphasis) - Stephan end • There is no room for another language between C++ and the hardware • C++ maps types and operations directly onto hardware • Fundamental C++ types (e.g., char, int, double) map directly into memory directly to hardware addressing capabilities • Modern hardware supports useful arithmetic/logical operations on those entities CppCon 2020 - The Abstract Machine 16Copyright © 2020 Bob Steagall K E W B

AMP will select an optimal set of operations to cast to FP16. FP16 operations require 2X reduced memory bandwidth (resulting in a 2X speedup for bandwidth-bound operations like most pointwise ops) and 2X AMP will select an optimal set of operations to cast to FP16. FP16 operations require 2X reduced memory bandwidth (resulting in a 2X speedup for bandwidth-bound operations like most pointwise ops) and 2X full iteration CUDA graph capture including gradient AllReduce, Optimizer, and Parameter AllGather operations could fail with a CUDA error. We recommend reducing the scope of the CUDA graph capture as a workaround

auditing tool for enterprises. Auditing can record information such as query statements, transaction operations, and user login events. This information can be stored in the audit log for future queries and database auditing feature can help managers in enterprises track the source and impact of database operations to ensure that data would not be illegally stolen or tampered with. At the same time, database auditing All user interface operations are covered in the range of database auditing, including the prepared statement interface. Recursive operations from such operations are not audited. The following

live stream into batches of X seconds. • Treats each batch as RDDs and processes them using RDD operations. • Discretized Stream Processing (DStream) 7 / 79 Spark Streaming ▶ Run a streaming computation live stream into batches of X seconds. • Treats each batch as RDDs and processes them using RDD operations. • Discretized Stream Processing (DStream) 7 / 79 Spark Streaming ▶ Run a streaming computation live stream into batches of X seconds. • Treats each batch as RDDs and processes them using RDD operations. • Discretized Stream Processing (DStream) 7 / 79 DStream (1/2) ▶ DStream: sequence of RDDs

Channels §39. Other Concurrency Synchronization Techniques - the sync standard package. §40. Atomic Operations - the sync/atomic standard package. §41. Memory Order Guarantees in Go §42. Common Concurrent Programming manipulating operations in all kinds of ways to reach certain goals. Operations write data to and read data from hardware devices to complete tasks. For modern computers, elemental operations are low-level encapsulations for low-level operations, and make some abstracts for data, to make programming more intuitive and human-friendly. In popular high-level programming languages, operations are mainly achieved by

inheritance Other builtin data types Iterators Templates Casts and type conversions Bitwise operations Exceptions Destructors Finalizers Modules Include Part III: Nim’s Standard Library Command-line functions and data types that we can use in our programs to solve common tasks like input and output operations, using the file system, or sorting data. In Part IV, we will apply what we have learned by solving functionalities. Part VI of the book will finally introduce advanced concepts like asynchronous operations, threading and parallel processing, macros and meta- programming, and, last but not least, Nim’s

inheritance Other builtin data types Iterators Templates Casts and type conversions Bitwise operations Exceptions Destructors Finalizers Modules Include Part III: Nim’s Standard Library Command-line functions and data types that we can use in our programs to solve common tasks like input and output operations, using the file system, or sorting data. In Part IV, we will apply what we have learned by solving functionalities. Part VI of the book will finally introduce advanced concepts like asynchronous operations, threading and parallel processing, macros and meta- programming, and, last but not least, Nim’s