Velocity 2017 Performance analysis superpowers with Linux eBPFBrendan Gregg
Talk by for Velocity 2017 by Brendan Gregg: Performance analysis superpowers with Linux eBPF.
"Advanced performance observability and debugging have arrived built into the Linux 4.x series, thanks to enhancements to Berkeley Packet Filter (BPF, or eBPF) and the repurposing of its sandboxed virtual machine to provide programmatic capabilities to system tracing. Netflix has been investigating its use for new observability tools, monitoring, security uses, and more. This talk will investigate this new technology, which sooner or later will be available to everyone who uses Linux. The talk will dive deep on these new tracing, observability, and debugging capabilities. Whether you’re doing analysis over an ssh session, or via a monitoring GUI, BPF can be used to provide an efficient, custom, and deep level of detail into system and application performance.
This talk will also demonstrate the new open source tools that have been developed, which make use of kernel- and user-level dynamic tracing (kprobes and uprobes), and kernel- and user-level static tracing (tracepoints). These tools provide new insights for file system and storage performance, CPU scheduler performance, TCP performance, and a whole lot more. This is a major turning point for Linux systems engineering, as custom advanced performance instrumentation can be used safely in production environments, powering a new generation of tools and visualizations."
Hot Code is Faster Code - Addressing JVM Warm-upMark Price
What is the JVM warm-up problem, and how does it affect our software? How can we aid the runtime in optimising our programs, and is it even a good idea to do so?
This presentation explores the lifecycle of Java code, and how the JVM evolves the runtime representation of code during program execution. From bytecode to assembly and back again (via some uncommon traps), we will cover practical tips on ensuring that Java code is running fast when it matters most.
Velocity 2017 Performance analysis superpowers with Linux eBPFBrendan Gregg
Talk by for Velocity 2017 by Brendan Gregg: Performance analysis superpowers with Linux eBPF.
"Advanced performance observability and debugging have arrived built into the Linux 4.x series, thanks to enhancements to Berkeley Packet Filter (BPF, or eBPF) and the repurposing of its sandboxed virtual machine to provide programmatic capabilities to system tracing. Netflix has been investigating its use for new observability tools, monitoring, security uses, and more. This talk will investigate this new technology, which sooner or later will be available to everyone who uses Linux. The talk will dive deep on these new tracing, observability, and debugging capabilities. Whether you’re doing analysis over an ssh session, or via a monitoring GUI, BPF can be used to provide an efficient, custom, and deep level of detail into system and application performance.
This talk will also demonstrate the new open source tools that have been developed, which make use of kernel- and user-level dynamic tracing (kprobes and uprobes), and kernel- and user-level static tracing (tracepoints). These tools provide new insights for file system and storage performance, CPU scheduler performance, TCP performance, and a whole lot more. This is a major turning point for Linux systems engineering, as custom advanced performance instrumentation can be used safely in production environments, powering a new generation of tools and visualizations."
Hot Code is Faster Code - Addressing JVM Warm-upMark Price
What is the JVM warm-up problem, and how does it affect our software? How can we aid the runtime in optimising our programs, and is it even a good idea to do so?
This presentation explores the lifecycle of Java code, and how the JVM evolves the runtime representation of code during program execution. From bytecode to assembly and back again (via some uncommon traps), we will cover practical tips on ensuring that Java code is running fast when it matters most.
Доклад рассказывает об устройстве и опыте применения инструментов динамического тестирования C/C++ программ — AddressSanitizer, ThreadSanitizer и MemorySanitizer. Инструменты находят такие ошибки, как использование памяти после освобождения, обращения за границы массивов и объектов, гонки в многопоточных программах и использования неинициализированной памяти.
A 2015 performance study by Brendan Gregg, Nitesh Kant, and Ben Christensen. Original is in https://github.com/Netflix-Skunkworks/WSPerfLab/tree/master/test-results
Capturing NIC and Kernel TX and RX Timestamps for Packets in GoScyllaDB
Go gives us net.Dial and net.Listen for sending and receiving data at Layer 4. Now you will see how to send and receive raw packets directly to and from the NIC at Layer 1 to get timestamp information from timestamping-enabled NICs and when packets enter and leave the Linux kernel. Capturing these timestamps allows us to get better granularity when measuring latency and jitter instead of relying on time.Now() in userspace where that is subject to additional time introduced by the OS and Go runtime schedulers.
Transparent sharding with Spider: what's new and getting startedMariaDB plc
OpenWorks 2019 Session
MariaDB Server 10.3 introduced transparent, built-in sharding with the Spider storage engine to scale out reads, writes and storage. MariaDB Server 10.4 will include a number of improvements, including DDL pushdown. In this session, Ralf Gebhardt and Kentoku Shiba of MariaDB show how to set up a sharded MariaDB cluster and scale out on demand, as well explore as best practices for high availability and consistency in a sharded deployment.
Доклад рассказывает об устройстве и опыте применения инструментов динамического тестирования C/C++ программ — AddressSanitizer, ThreadSanitizer и MemorySanitizer. Инструменты находят такие ошибки, как использование памяти после освобождения, обращения за границы массивов и объектов, гонки в многопоточных программах и использования неинициализированной памяти.
A 2015 performance study by Brendan Gregg, Nitesh Kant, and Ben Christensen. Original is in https://github.com/Netflix-Skunkworks/WSPerfLab/tree/master/test-results
Capturing NIC and Kernel TX and RX Timestamps for Packets in GoScyllaDB
Go gives us net.Dial and net.Listen for sending and receiving data at Layer 4. Now you will see how to send and receive raw packets directly to and from the NIC at Layer 1 to get timestamp information from timestamping-enabled NICs and when packets enter and leave the Linux kernel. Capturing these timestamps allows us to get better granularity when measuring latency and jitter instead of relying on time.Now() in userspace where that is subject to additional time introduced by the OS and Go runtime schedulers.
Transparent sharding with Spider: what's new and getting startedMariaDB plc
OpenWorks 2019 Session
MariaDB Server 10.3 introduced transparent, built-in sharding with the Spider storage engine to scale out reads, writes and storage. MariaDB Server 10.4 will include a number of improvements, including DDL pushdown. In this session, Ralf Gebhardt and Kentoku Shiba of MariaDB show how to set up a sharded MariaDB cluster and scale out on demand, as well explore as best practices for high availability and consistency in a sharded deployment.
This presentation was presented in a day long dialogue arranged by 'Bangladesh Institute of Islamic Studies'. The heading was 'Ulama's contribution in IT and Media : Recent thoughts'. Dated : 30th December 2010. Place : IDB Bhaban 3rd floor, Agargaon.
"Amar Bari Amar Khamar" (My Home, My Farm) has become a resounding success story, encapsulating the essence of agricultural empowerment and community resilience. 🌾🏡
🚀 Empowering Rural Living:
Born from a vision to transform rural landscapes, Amar Bari Amar Khamar stands as a testament to the power of sustainable agriculture. The initiative empowers individuals to cultivate their own land, fostering self-sufficiency and economic independence.
🌱 Community-Led Agriculture:
At its core, the success of Amar Bari Amar Khamar lies in community collaboration. Farmers come together, sharing knowledge, resources, and support. This united front not only enhances agricultural practices but also strengthens the social fabric of these rural communities.
📈 Economic Impact:
The initiative has not only redefined farming practices but has also brought about significant economic impact. By providing tools, training, and market access, Amar Bari Amar Khamar has become a catalyst for rural economic growth, elevating the standard of living for many.
🌍 Sustainability and Innovation:
Amar Bari Amar Khamar is not just a farming initiative; it's a beacon of sustainability. Embracing innovative farming techniques, eco-friendly practices, and technology integration, it paves the way for a greener, more sustainable future.
👨🌾 Individual Success Stories:
The initiative is marked by numerous individual success stories. From small-scale farmers experiencing increased yields to families achieving food security, Amar Bari Amar Khamar has become a source of hope and prosperity.
In the tapestry of rural development, Amar Bari Amar Khamar stands tall, weaving a story of agricultural success, community resilience, and a brighter, sustainable future for all. 🌟🌾 #AmarBariAmarKhamar #AgriculturalEmpowerment #RuralSuccessStory
ইসলামী এ্যাপ ও ওয়েবসাইটের বিশ্বযাত্রা: আমাদের অবস্থানYousuf Sultan
পুরো বিশ্বে ইসলামী ওয়েবসাইট ও এ্যাপ কী পরিমাণ রয়েছে, বিশেষ করে সীরাতের ওয়েবসাইট ও এ্যাপ কী পরিমাণ আছে, বাংলা ভাষা কী অবস্থান আমাদের - এসব বিষয় উঠে এসেছে প্রেজেন্টেশনটিতে।