Brief introduction to DTrace technologies within OpenSolaris/Solaris 10 and DTrace probes within Apache, PHP and MySQL can provide end to end dynamic tracing of your Drupal based web site..
Internship - Final Presentation (26-08-2015)Sean Krail
The document describes a C++ task graph generator that takes C++ code with OpenMP directives as input, parses it using Clang's AST into a data structure representing the task graph, and then outputs the task graph in various formats. The key parts of the task graph are call tasks for function calls and parallel regions, statement group tasks for non-parallel statements, and parallel tasks for parallel statements. The task graph data structure is then converted to TGFF, DOT and DARTS formats, with DARTS code generated to execute the task graph and validate correct dependencies and ordering.
A short and fast journey through some of the profiling options available in the Ruby 2.x world, including a look at flamegraphs and new ways of tracking memory usage in the MRI.
The document discusses using the r3 library in Node.js via the node-ffi package. It provides examples of defining foreign function interfaces (FFIs) for r3 functions in node-ffi, and calling them to create route trees, insert routes, and match routes. It also discusses handling structs and pointers in r3, including using ref-struct and ref.refType. Performance is addressed, noting the overhead of string transformations can be avoided by storing route data in a Buffer and passing indexes.
The document discusses clang-tidy, which is a tool for statically analyzing C++ code and finding typical programming errors. It has over 200 built-in rules for checking adherence to coding guidelines and best practices. The document provides examples of running clang-tidy on sample code and detecting issues. It also discusses how to develop custom rules by traversing the AST and registering matchers. Overall, the document serves as an introduction to using clang-tidy for code reviews and improving code quality.
This document describes the steps to convert a TensorFlow model to a TensorRT engine for inference. It includes steps to parse the model, optimize it, generate a runtime engine, serialize and deserialize the engine, as well as perform inference using the engine. It also provides code snippets for a PReLU plugin implementation in C++.
This document describes the steps to convert a TensorFlow model to a TensorRT engine for inference. It includes steps to parse the model, optimize it, generate a runtime engine, serialize and deserialize the engine, as well as perform inference using the engine. It also provides code snippets for a PReLU plugin implementation in C++.
All you need to know about the JavaScript event loopSaša Tatar
The document discusses the JavaScript event loop and call stack. It explains that JavaScript is single-threaded with an event loop that processes tasks in the order they are received. There is a call stack that processes code synchronously, and an event queue that holds asynchronous callbacks from events like timers, promises, etc. The event loop continually checks the call stack and event queue, running tasks from the queue after the stack is empty. This allows asynchronous code to run without blocking synchronous code.
The document discusses protocol handlers in Gecko. It explains that protocol handlers allow Gecko to interact with different URI schemes like http, ftp, file etc. It provides an overview of how the awesome bar, browser UI, DocShell and Necko components work together to handle protocol requests from inputting a URL in the awesome bar to creating a channel and loading content. It also briefly introduces channels and stream listeners in Necko which are used for asynchronous loading of content.
Evgeniy Muralev, Mark Vince, Working with the compiler, not against itSergey Platonov
The talk will look at limitations of compilers when creating fast code and how to make more effective use of both the underlying micro-architecture of modern CPU's and how algorithmic optimizations may have surprising effects on the generated code. We shall discuss several specific CPU architecture features and their pros and cons in relation to creating fast C++ code. We then expand with several algorithmic techniques, not usually well-documented, for making faster, compiler friendly, C++.
Note that we shall not discuss caching and related issues here as they are well documented elsewhere.
SHA1 collision analysis and resolving a problem of recursive hashing with xra...Diego Hernan Marciano
A friend just told me that there was a job offer that required a problem to be solved and I got into that during the weekend, it basically was about xrange, hashlib, hexdigest and sha1 hash cyclic collisions.
Capture the Flag (CTF) are information security challenges. They are fun, but they also provide a opportunity to practise for real-world security challenges.
In this talk we present the concept of CTF. We focus on some tools used by our team, which can also be used to solve real-world problems.
Евгений Крутько, Многопоточные вычисления, современный подход.Platonov Sergey
The document discusses parallel computing in modern C++. It introduces native threads, standard threads in C++11, thread pools, std::async, and examples of parallelizing real applications. It also covers potential issues like data races and tools for detecting them like Valgrind and ThreadSanitizer. Finally, it recommends using std::async, std::future and boost::thread for flexibility and OpenMP for ease of use.
This document provides 10 tips for improving Perl performance. Some key tips include using a profiler like Devel::NYTProf to identify bottlenecks, optimizing database queries with DBI, choosing fast hash storage like BerkeleyDB, avoiding serialization with Data::Dumper in favor of faster options like JSON::XS, and considering compiling Perl without threads for a potential 15% speed boost. Proper use of profiling is emphasized to avoid wasting time optimizing the wrong parts of code.
Devel::NYTProf 2009-07 (OUTDATED, see 201008)Tim Bunce
The slides of my "State-of-the-art Profiling with Devel::NYTProf" talk at OSCON in July 2009.
I'll upload a screencast and give the link in a blog post at http://blog.timbunce.org
This document discusses extending Perl with C libraries using XS. It explains that XS provides an interface between C and Perl by handling data conversion between their different types. The document outlines the components of a basic XS file and how it is compiled. It also discusses typemaps which define how C types are mapped to Perl types to allow values to be passed between the languages. Further details are provided on developing the XS interface and common tools like h2xs and a new converter tool.
На протяжении всего существования C++ тема компайл-тайм рефлексии поднимается постоянно, но, к сожалению, до сих пор Стандарт языка не дает достаточных возможностей для извлечения и манипулирования компайл-тайм информацией. Большое количество библиотек и препроцессоров было придумано для того, чтобы решить эту проблему, начиная от простых макросов и заканчивая Qt-moc или ODB. В докладе Антон расскажет о том, как на эту проблему смотрит Комитет по Стандартизации: какие решения были предложены, и какое стало доминирующим.
JavaOne 2015 - Having fun with JavassistAnton Arhipov
The document provides examples of using Javassist, an open-source bytecode engineering library, to dynamically generate, instrument, reflect and modify Java bytecode. It demonstrates how to use Javassist to generate proxy classes, insert logging before methods, and modify existing classes at runtime without recompilation. Key classes and methods discussed include ClassPool, CtClass, CtMethod and insertBefore.
We all want "better" test suites. But what makes for a good test suite? Certainly, test suites ought to aim for good coverage, at least at the statement coverage level. To be useful, test suites should run quickly enough to provide timely feedback.
This talk will investigate a number of other dimensions on which to evaluate test suites. The talk claims that better test suites are more maintainable, more usable (for instance, because they run faster, or use fewer resources), and have fewer unjustified failures. In this talk, I'll present and synthesize facts about 10 open-source test suites (from 8,000 to 246,000 lines of code) and evaluate how they are doing.
TensorFlow XLAの中では、
XLA Client を Pythonで利用できるようになっています。
また、2018年2月に開催されたSysMLの論文(JAX@Google)についても追記しました。
In TensorFlow XLA,
XLA Client is now available in Python.
Also added about SysML's paper (JAX @ Google) held in February 2018.
The document discusses different designs for asynchronous algorithms and reactive programming. It explores how to abstract sequences, control flow, cancellation, chaining of algorithms, and other aspects to support features like async generators, operators, testing, and failure handling. Push-based sequences, pull-based async generators, and Subject-Observer designs like SFRP are compared for supporting asynchronous and reactive programming.
An Experiment with Checking the glibc LibraryAndrey Karpov
We have recently carried out an experiment with checking the glibc library by PVS-Studio. Its purpose was to study how good our analyzer is at checking Linux-projects. The basic conclusion is, not much good yet. Non-standard extensions used in such projects make the analyzer generate a huge pile of false positives. However, we have found some interesting bugs.
This document summarizes two PHP monitoring tools: APM (Alternative PHP Monitor) and Pinba.
APM is a tool dedicated to error handling in PHP applications. It provides functions to retrieve error events and slow requests from a database. Pinba is focused on real-time performance monitoring. It allows setting timers and retrieving performance metrics like request time and memory usage. Both tools have low overhead and are open source alternatives to commercial monitoring solutions.
Из презентации вы узнаете:
про большинство утилит из арсенала Go, предназначенных для оптимизации производительности;
— как и когда их (утилиты) использовать, а также мы посмотрим как они устроены внутри;
— про применимость linux утилиты perf для оптимизации программ на Go.
Кроме того, устроим небольшой crash course, в рамках которого поэтапно соптимизируем несколько небольших программ на Go с использованием вышеперечисленных утилит.
A look at some of the configuration issues that containers introduce, and how to avoid or fix them. Discusses immutable infrastructure, the difference between build-time and runtime configuration, scheduler configuration and more.
D Trace Support In My Sql Guide To Solving Reallife Performance ProblemsMySQLConference
DTrace is a dynamic tracing framework that can be used to identify performance problems in MySQL. It works by inserting probes into code locations and executing scripts when the probes fire. This allows tracking of events like SQL queries, table locks, and storage engine operations without restarting MySQL. The document provides examples of using static and dynamic probes to trace queries and identify hot database tables.
CONFidence 2015: DTrace + OSX = Fun - Andrzej Dyjak PROIDEA
This document summarizes a presentation about using DTrace on OS X. It introduces DTrace as a dynamic tracing tool for user and kernel space. It discusses the D programming language used for writing DTrace scripts, including data types, variables, operators, and actions. Example one-liners and scripts are provided to demonstrate syscall tracking, memory allocation snooping, and hit tracing. The presentation outlines some past security work using DTrace and similar dynamic tracing tools. It concludes with proposing future work like more kernel and USDT tracing as well as Python bindings for DTrace.
The document discusses protocol handlers in Gecko. It explains that protocol handlers allow Gecko to interact with different URI schemes like http, ftp, file etc. It provides an overview of how the awesome bar, browser UI, DocShell and Necko components work together to handle protocol requests from inputting a URL in the awesome bar to creating a channel and loading content. It also briefly introduces channels and stream listeners in Necko which are used for asynchronous loading of content.
Evgeniy Muralev, Mark Vince, Working with the compiler, not against itSergey Platonov
The talk will look at limitations of compilers when creating fast code and how to make more effective use of both the underlying micro-architecture of modern CPU's and how algorithmic optimizations may have surprising effects on the generated code. We shall discuss several specific CPU architecture features and their pros and cons in relation to creating fast C++ code. We then expand with several algorithmic techniques, not usually well-documented, for making faster, compiler friendly, C++.
Note that we shall not discuss caching and related issues here as they are well documented elsewhere.
SHA1 collision analysis and resolving a problem of recursive hashing with xra...Diego Hernan Marciano
A friend just told me that there was a job offer that required a problem to be solved and I got into that during the weekend, it basically was about xrange, hashlib, hexdigest and sha1 hash cyclic collisions.
Capture the Flag (CTF) are information security challenges. They are fun, but they also provide a opportunity to practise for real-world security challenges.
In this talk we present the concept of CTF. We focus on some tools used by our team, which can also be used to solve real-world problems.
Евгений Крутько, Многопоточные вычисления, современный подход.Platonov Sergey
The document discusses parallel computing in modern C++. It introduces native threads, standard threads in C++11, thread pools, std::async, and examples of parallelizing real applications. It also covers potential issues like data races and tools for detecting them like Valgrind and ThreadSanitizer. Finally, it recommends using std::async, std::future and boost::thread for flexibility and OpenMP for ease of use.
This document provides 10 tips for improving Perl performance. Some key tips include using a profiler like Devel::NYTProf to identify bottlenecks, optimizing database queries with DBI, choosing fast hash storage like BerkeleyDB, avoiding serialization with Data::Dumper in favor of faster options like JSON::XS, and considering compiling Perl without threads for a potential 15% speed boost. Proper use of profiling is emphasized to avoid wasting time optimizing the wrong parts of code.
Devel::NYTProf 2009-07 (OUTDATED, see 201008)Tim Bunce
The slides of my "State-of-the-art Profiling with Devel::NYTProf" talk at OSCON in July 2009.
I'll upload a screencast and give the link in a blog post at http://blog.timbunce.org
This document discusses extending Perl with C libraries using XS. It explains that XS provides an interface between C and Perl by handling data conversion between their different types. The document outlines the components of a basic XS file and how it is compiled. It also discusses typemaps which define how C types are mapped to Perl types to allow values to be passed between the languages. Further details are provided on developing the XS interface and common tools like h2xs and a new converter tool.
На протяжении всего существования C++ тема компайл-тайм рефлексии поднимается постоянно, но, к сожалению, до сих пор Стандарт языка не дает достаточных возможностей для извлечения и манипулирования компайл-тайм информацией. Большое количество библиотек и препроцессоров было придумано для того, чтобы решить эту проблему, начиная от простых макросов и заканчивая Qt-moc или ODB. В докладе Антон расскажет о том, как на эту проблему смотрит Комитет по Стандартизации: какие решения были предложены, и какое стало доминирующим.
JavaOne 2015 - Having fun with JavassistAnton Arhipov
The document provides examples of using Javassist, an open-source bytecode engineering library, to dynamically generate, instrument, reflect and modify Java bytecode. It demonstrates how to use Javassist to generate proxy classes, insert logging before methods, and modify existing classes at runtime without recompilation. Key classes and methods discussed include ClassPool, CtClass, CtMethod and insertBefore.
We all want "better" test suites. But what makes for a good test suite? Certainly, test suites ought to aim for good coverage, at least at the statement coverage level. To be useful, test suites should run quickly enough to provide timely feedback.
This talk will investigate a number of other dimensions on which to evaluate test suites. The talk claims that better test suites are more maintainable, more usable (for instance, because they run faster, or use fewer resources), and have fewer unjustified failures. In this talk, I'll present and synthesize facts about 10 open-source test suites (from 8,000 to 246,000 lines of code) and evaluate how they are doing.
TensorFlow XLAの中では、
XLA Client を Pythonで利用できるようになっています。
また、2018年2月に開催されたSysMLの論文(JAX@Google)についても追記しました。
In TensorFlow XLA,
XLA Client is now available in Python.
Also added about SysML's paper (JAX @ Google) held in February 2018.
The document discusses different designs for asynchronous algorithms and reactive programming. It explores how to abstract sequences, control flow, cancellation, chaining of algorithms, and other aspects to support features like async generators, operators, testing, and failure handling. Push-based sequences, pull-based async generators, and Subject-Observer designs like SFRP are compared for supporting asynchronous and reactive programming.
An Experiment with Checking the glibc LibraryAndrey Karpov
We have recently carried out an experiment with checking the glibc library by PVS-Studio. Its purpose was to study how good our analyzer is at checking Linux-projects. The basic conclusion is, not much good yet. Non-standard extensions used in such projects make the analyzer generate a huge pile of false positives. However, we have found some interesting bugs.
This document summarizes two PHP monitoring tools: APM (Alternative PHP Monitor) and Pinba.
APM is a tool dedicated to error handling in PHP applications. It provides functions to retrieve error events and slow requests from a database. Pinba is focused on real-time performance monitoring. It allows setting timers and retrieving performance metrics like request time and memory usage. Both tools have low overhead and are open source alternatives to commercial monitoring solutions.
Из презентации вы узнаете:
про большинство утилит из арсенала Go, предназначенных для оптимизации производительности;
— как и когда их (утилиты) использовать, а также мы посмотрим как они устроены внутри;
— про применимость linux утилиты perf для оптимизации программ на Go.
Кроме того, устроим небольшой crash course, в рамках которого поэтапно соптимизируем несколько небольших программ на Go с использованием вышеперечисленных утилит.
A look at some of the configuration issues that containers introduce, and how to avoid or fix them. Discusses immutable infrastructure, the difference between build-time and runtime configuration, scheduler configuration and more.
D Trace Support In My Sql Guide To Solving Reallife Performance ProblemsMySQLConference
DTrace is a dynamic tracing framework that can be used to identify performance problems in MySQL. It works by inserting probes into code locations and executing scripts when the probes fire. This allows tracking of events like SQL queries, table locks, and storage engine operations without restarting MySQL. The document provides examples of using static and dynamic probes to trace queries and identify hot database tables.
CONFidence 2015: DTrace + OSX = Fun - Andrzej Dyjak PROIDEA
This document summarizes a presentation about using DTrace on OS X. It introduces DTrace as a dynamic tracing tool for user and kernel space. It discusses the D programming language used for writing DTrace scripts, including data types, variables, operators, and actions. Example one-liners and scripts are provided to demonstrate syscall tracking, memory allocation snooping, and hit tracing. The presentation outlines some past security work using DTrace and similar dynamic tracing tools. It concludes with proposing future work like more kernel and USDT tracing as well as Python bindings for DTrace.
4Developers 2018: Pyt(h)on vs słoń: aktualny stan przetwarzania dużych danych...PROIDEA
This document summarizes the current state of large data processing in Python. It discusses Apache Spark and its RDD and SQL features. It also covers vectorized UDFs in PySpark and Spark structured streaming. Dask and its array, dataframe, and bag features are presented as an alternative to Spark. Ray is introduced as another framework building on Pandas. Google BigQuery and TensorFlow are also mentioned as options for cloud platforms. The document concludes by discussing functional programming and SQL as possible directions for the future.
This document discusses PostgreSQL and Solaris as a low-cost platform for medium to large scale critical scenarios. It provides an overview of PostgreSQL, highlighting features like MVCC, PITR, and ACID compliance. It describes how Solaris and PostgreSQL integrate well, with benefits like DTrace support, scalability on multicore/multiprocessor systems, and Solaris Cluster support. Examples are given for installing PostgreSQL on Solaris using different methods, configuring zones for isolation, using ZFS for storage, and monitoring performance with DTrace scripts.
ETL with SPARK - First Spark London meetupRafal Kwasny
The document discusses how Spark can be used to supercharge ETL workflows by running them faster and with less code compared to traditional Hadoop approaches. It provides examples of using Spark for tasks like sessionization of user clickstream data. Best practices are covered like optimizing for JVM issues, avoiding full GC pauses, and tips for deployment on EC2. Future improvements to Spark like SQL support and Java 8 are also mentioned.
DTrace is a comprehensive dynamic tracing framework created by Sun Microsystems for troubleshooting kernel and application problems on production systems in real time. It provides probes in the operating system and applications to monitor events, collects and aggregates data, and provides tools to analyze the data. DTrace can be used on Unix-like systems like Solaris, Linux, macOS, and in Node.js applications through a DTrace provider. It allows gathering insights about the system and application behavior without restarting or slowing the system.
The goal was to create a reusable and efficient Hadoop Cluster Performance Profiler
Video (in Russian): https://www.youtube.com/watch?v=Yh9KxQ3fKy0
DTrace and SystemTap are dynamic tracing frameworks available for Solaris and Linux respectively. This session will give an overview of the static DTrace probes available in both Drizzle and MySQL and show numerous examples of scripts that utilize these probes. Mixing dynamic and static probes will also be discussed.
This document discusses using Sinatra to build a JSON query service with the following key points:
- It describes building a Sinatra app frontend to query portions of JSON documents stored in a Redis backend cache.
- The backend uses Redis as a fast key-value store to cache full JSON documents and return requested portions based on a JSON query syntax.
- Testing the Sinatra app is discussed as well as potential issues like query syntax, caching at scale, and performance under load.
The document discusses various techniques for profiling CPU and memory performance in Rust programs, including:
- Using the flamegraph tool to profile CPU usage by sampling a running process and generating flame graphs.
- Integrating pprof profiling into Rust programs to expose profiles over HTTP similar to how it works in Go.
- Profiling heap usage by integrating jemalloc profiling and generating heap profiles on program exit.
- Some challenges with profiling asynchronous Rust programs due to the lack of backtraces.
The key takeaways are that there are crates like pprof-rs and techniques like jemalloc integration that allow collecting CPU and memory profiles from Rust programs, but profiling asynchronous programs
DTrace is a dynamic tracing framework created by Sun Microsystems to provide operational insights into applications and operating systems with minimal overhead. It allows tens of thousands of probes to be enabled with no performance impact when disabled, and traces system calls, kernels, userland processes, and Java Virtual Machines to help tune and troubleshoot performance.
The document discusses creating an optimized algorithm in R. It covers writing functions and algorithms in R, creating R packages, and optimizing code performance using parallel computing and high performance computing. Key steps include reviewing existing algorithms, identifying gaps, testing and iterating a new algorithm, publishing the work, and making the algorithm available to others through an R package.
This document provides an overview of using DTrace to instrument systems. It discusses what DTrace is and its uses for performance analysis, debugging, and finding out what is happening in software. It covers DTrace terminology like probes, actions, and predicates. The document provides examples of simple DTrace scripts for profiling system calls and measuring latency. It also discusses how Instruments on Mac OS X uses DTrace and provides an example Instruments file activity instrument.
Automate ml workflow_transmogrif_ai-_chetan_khatri_berlin-scalaChetan Khatri
TransmogrifAI is an open source library for automating machine learning workflows built on Scala and Spark. It helps automate tasks like feature engineering, selection, model selection, and hyperparameter tuning. This reduces machine learning development time from months to hours. TransmogrifAI enforces type safety and modularity to build reusable, production-ready models. It was created by Salesforce to make machine learning more accessible to developers without a PhD in machine learning.
WMQ Toolbox: 20 Scripts, One-liners, & Utilities for UNIX & Windows T.Rob Wyatt
This document provides summaries of 20 tools, scripts, and utilities for working with WebSphere MQ on UNIX and Windows systems. It begins with some equivalents between UNIX and Windows commands, then describes each tool in 1-2 sentences, including parsing trigger messages from the command line, checking if a queue manager is running, finding queues with message depths above a threshold, stopping all channels on a queue manager, and enhancing MQSC scripts and FTE XML files.
Django - Framework web para perfeccionistas com prazosIgor Sobreira
This document provides an overview of the Django web framework. It defines Django as a Python-based framework that encourages rapid development and clean design. Key points include:
- Django was developed in 2005 and is open-source and free to use.
- It uses the MTV (Model-Template-View) pattern to separate the different aspects of development.
- Python was chosen as the implementation language because it is highly productive, multi-paradigm, dynamically typed, and cross-platform.
- Django encourages organizations like DRY (Don't Repeat Yourself) and provides features like an ORM, automatic admin interface, and reusable apps.
Solr Troubleshooting - Treemap Approach: Presented by Alexandre Rafolovitch, ...Lucidworks
The document discusses troubleshooting techniques for Solr, including using a "TreeMap" process of establishing boundaries, splitting the problem, identifying relevant parts, zooming in, and re-formulating boundaries in an iterative process until the problem is fixed. It outlines how to establish boundaries by defining the identity, location, timing, and magnitude of the problem. Examples are provided for indexing and searching processes in Solr.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
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11. Dtrace format ● provider:module:function:name ● -P provider ● -m module ● -f function ● -n name ● -s script ● -p pid ● -c run command ● -l list ● -v verbose
12. How to write a Dtrace script Sample Dtrace scripts. /usr/demo/dtrace (Solaris 10/OpenSolaris) Dtracetoolkit includes task specific Dtrace scripts for OpenSolaris. /opt/DTT (OpenSolaris)
22. Sample MySQL D Script Output select * from t1 order by i limit 10 N 1072 set global query_cache_size=262144 N 0 select * from t1 order by i limit 10 N 781 select * from t1 order by i limit 10 Y 0 select * from t1 order by i limit 30 Y 0 select * from t1 order by i limit 10 Y 0 select * from t1 order by i limit 10 Y 0
31. How to try it out ? AMP stack within OpenSolaris 2009.06 includes Dtrace probes. Dtrace probes are integrated within Apache, PHP and MySQL source repository. Available for Solaris 10 as Sun Glassfish Web Stack. http://www.sun.com/webstack Compile yourself MySQL probes are integrated within MySQL 5.4
32. Apache Dtrace probes are available at http://prefetch.net
35. To learn more on DTrace... Dtrace Toolkit (sample scripts) http://www.opensolaris.org/os/community/dtrace/dtracetoolkit/ Dtrace documentation http://www.sun.com/bigadmin/content/dtrace/
38. To learn more on Web Stack... Open Solaris Web Stack Project Home http://www.opensolaris.org/os/project/webstack Apache, Dtrace and MySQL probes are part of Web Stack (OpenSolaris, Solaris 10)
39. PHP Dtrace probes are now documented at http://blogs.sun.com/natarajan/entry/new_dtrace_probes_within_php Sun Web Stack documentation http://wikis.sun.com/display/webstack