The document provides step-by-step instructions for building and running Intel DPDK sample applications on a test environment with 3 virtual machines connected by 10G NICs. It describes compiling and running the helloworld, L2 forwarding, and L3 forwarding applications, as well as using the pktgen tool for packet generation between VMs to test forwarding performance. Key steps include preparing the Linux kernel for DPDK, compiling applications, configuring ports and MAC addresses, and observing packet drops to identify performance bottlenecks.
This document provides an overview of WiredTiger, an open-source embedded database engine that provides high performance through its in-memory architecture, record-level concurrency control using multi-version concurrency control (MVCC), and compression techniques. It is used as the storage engine for MongoDB and supports key-value data with a schema layer and indexing. The document discusses WiredTiger's architecture, in-memory structures, concurrency control, compression, durability through write-ahead logging, and potential future features including encryption and advanced transactions.
This document provides an agenda and overview for a hands-on lab on using DPDK in containers. It introduces Linux containers and how they use fewer system resources than VMs. It discusses how containers still use the kernel network stack, which is not ideal for SDN/NFV usages, and how DPDK can be used in containers to address this. The hands-on lab section guides users through building DPDK and Open vSwitch, configuring them to work with containers, and running packet generation and forwarding using testpmd and pktgen Docker containers connected via Open vSwitch.
The document compares the performance of NFS, GFS2, and OCFS2 filesystems on a high-performance computing cluster with nodes split across two datacenters. Generic load testing showed that NFS performance declined significantly with more than 6 nodes, while GFS2 maintained higher throughput. Further testing of GFS2 and OCFS2 using workload simulations modeling researcher usage found that OCFS2 outperformed GFS2 on small file operations and maintained high performance across nodes, making it the best choice for the shared filesystem needs of the project.
Build an High-Performance and High-Durable Block Storage Service Based on CephRongze Zhu
?
This document discusses building a high-performance and durable block storage service using Ceph. It describes the architecture, including a minimum deployment of 12 OSD nodes and 3 monitor nodes. It outlines optimizations made to Ceph, Qemu, and the operating system configuration to achieve high performance, including 6000 IOPS and 170MB/s throughput. It also discusses how the CRUSH map can be optimized to reduce recovery times and number of copysets to improve durability to 99.99999999%.
The document discusses DPDK (Data Plane Development Kit) performance, providing background and examples such as L2FWD and L3FWD applications. It highlights key performance metrics, challenges in networking speed, and the importance of optimizing configurations and architectural choices. The conclusion emphasizes that while DPDK can enable fast routing capabilities, achieving optimal performance is complex and fraught with potential pitfalls.
Boosting I/O Performance with KVM io_uringShapeBlue
?
The document discusses the performance of KVM storage using io_uring in a cloud infrastructure environment, highlighting that while bare metal performance is optimal, virtual machines incur overhead that affects disk I/O efficiency. It details preallocation methods for qcow2 disk images, the testing setup, and the need for further investigation into performance limitations. The conclusion emphasizes improvements with io_uring, suggesting a significant potential for enhancing storage performance in cloud deployments.
IPC in Microkernel Systems, CapabilitiesMartin Děck?
?
The document discusses inter-process communication (IPC) mechanisms within microkernel systems and their significance compared to monolithic systems. It covers various IPC methods, including classic mechanisms like pipes, message queues, and shared memory, as well as advanced capabilities and structures like D-Bus and capability-based security. Additionally, it addresses performance considerations, particularly the evolution from synchronous to asynchronous IPC and the implications for system design.
The document discusses containerd, a core container runtime used with various orchestration frameworks, and highlights its CNFC graduation status and integration with platforms like Docker and Kubernetes. It details features of containerd, including lazy pulling, runtime options, and plugins such as the stargz snapshotter, enhancing image management and performance. Furthermore, it references multiple resources and ongoing developments related to containerd's architecture and functionalities.
Deep Dive In To Redis Replication: Vishy KasarRedis Labs
?
This document summarizes a presentation about Redis replication. It discusses the basics of Redis replication including that it is asynchronous and non-blocking on the master. It also covers replication configuration, monitoring, data consistency, and memory usage. The presentation agenda includes topics like full and partial synchronization, and common replication issues. It concludes with an offer to demo Redis replication.
HKG18-411 - Introduction to OpenAMP which is an open source solution for hete...Linaro
?
The document introduces OpenAMP, a standard for facilitating communication between multiple operating systems in sophisticated System-on-Chip (SoC) environments, addressing lifecycle, communication, and resource handling issues. It outlines the OpenAMP library and its components such as RPMsg for message passing and RemoteProc for lifecycle management. The document also discusses ongoing changes and future improvements related to OpenAMP and its implementation across various operating systems and hardware platforms.
[KubeCon NA 2020] containerd: Rootless Containers 2020Akihiro Suda
?
Rootless containers allow running container runtimes as a non-root user, enhancing security by mitigating vulnerabilities and misconfigurations. Although they are not a complete solution against all threats, they prevent unauthorized access to files and system components. The technology has evolved from its inception in 2012 to widespread adoption in various projects like Docker, Kubernetes, and BuildKit, with ongoing improvements in performance and functionality.
Spider's HA structure includes data nodes, spider nodes, and monitoring nodes. Data nodes store data, spider nodes provide load balancing and failover, and monitoring nodes monitor data nodes. To add a new data node without stopping service: 1) Create a new table on the node, 2) Alter tables on monitoring nodes to include new node, 3) Alter clustered table connection to include new node, 4) Copy data to new node. This maintains redundancy when a node fails without service interruption.
Virtio is an I/O virtualization framework for Linux that provides an abstraction layer for virtual devices. It standardizes the interface between paravirtualized guest operating systems and hypervisors to improve efficiency and promote code reuse. Virtio defines front-end drivers for the guest and back-end drivers for the hypervisor to communicate. It uses virtual queues and buffer abstractions to encapsulate data and commands exchanged between the guest and hypervisor. Major hypervisors like KVM and Xen support virtio to virtualize network, block, and other device types in a standardized way.
InnoDB Architecture and Performance Optimization, Peter ZaitsevFuenteovejuna
?
This document provides an overview of the Innodb architecture and performance optimization. It discusses the general architecture including row-based storage, tablespaces, logs, and the buffer pool. It covers topics like indexing, transactions, locking, and multi-versioning concurrency control. Optimization techniques are presented such as tuning memory configuration, disk I/O, and garbage collection parameters. Understanding the internal workings is key to advanced performance tuning of the Innodb storage engine in MySQL.
Transparent sharding with Spider: what's new and getting startedMariaDB plc
?
The document discusses the capabilities and features of the Spider storage engine for MariaDB, focusing on its sharding capabilities and high availability. It outlines the architecture, setup procedures, and enhancements in new versions, including support for partitioning, direct join functionality, and DDL pushdown. The document also presents various use cases and best practices for implementing Spider in scalable database environments.
The document presents a detailed overview of packet processing in Linux, focusing on the XDP (Express Data Path) technology and its applications for enhancing network performance. It covers various packet processing concepts such as filtering, forwarding, NAT, and traffic control, while demonstrating practical examples using netfilter and traffic control commands. Additionally, it provides insights into performance metrics, showcasing packet drop rates and test environments to illustrate the effectiveness of these techniques.
Here are some useful GDB commands for debugging:
- break <function> - Set a breakpoint at a function
- break <file:line> - Set a breakpoint at a line in a file
- run - Start program execution
- next/n - Step over to next line, stepping over function calls
- step/s - Step into function calls
- finish - Step out of current function
- print/p <variable> - Print value of a variable
- backtrace/bt - Print the call stack
- info breakpoints/ib - List breakpoints
- delete <breakpoint#> - Delete a breakpoint
- layout src - Switch layout to source code view
- layout asm - Switch layout
Debug dpdk process bottleneck & painpointsVipin Varghese
?
The document outlines debugging and troubleshooting strategies for bottlenecks and performance issues in a Linux-based application environment using DPDK, focusing on packet processing. It provides a detailed checklist for diagnosing issues related to received and transmitted packet rates, packet drops, producer and consumer rings, memory management, and crypto performance. Various functions and commands are suggested for gathering statistics and configurations to ensure optimal performance and identify areas needing attention.
MongoDB WiredTiger Internals: Journey To TransactionsMydbops
?
This document presents an in-depth overview of MongoDB's WiredTiger storage engine, focusing on its architecture, transaction management, and internal workings. It discusses MongoDB's evolution with WiredTiger, including transaction features introduced in various versions, as well as features like MVCC and journaling for data integrity. The presentation outlines practical implications for developers and DBA practitioners, emphasizing best practices for managing transactions and performance optimization.
DPDK greatly improves packet processing performance and throughput by allowing applications to directly access hardware and bypass kernel involvement. It can improve performance by up to 10 times, allowing over 80 Mbps throughput on a single CPU or double that with two CPUs. This enables telecom and networking equipment manufacturers to develop products faster and with lower costs. DPDK achieves these gains through techniques like dedicated core affinity, userspace drivers, polling instead of interrupts, and lockless synchronization.
Boosting I/O Performance with KVM io_uringShapeBlue
?
The document discusses the performance of KVM storage using io_uring in a cloud infrastructure environment, highlighting that while bare metal performance is optimal, virtual machines incur overhead that affects disk I/O efficiency. It details preallocation methods for qcow2 disk images, the testing setup, and the need for further investigation into performance limitations. The conclusion emphasizes improvements with io_uring, suggesting a significant potential for enhancing storage performance in cloud deployments.
IPC in Microkernel Systems, CapabilitiesMartin Děck?
?
The document discusses inter-process communication (IPC) mechanisms within microkernel systems and their significance compared to monolithic systems. It covers various IPC methods, including classic mechanisms like pipes, message queues, and shared memory, as well as advanced capabilities and structures like D-Bus and capability-based security. Additionally, it addresses performance considerations, particularly the evolution from synchronous to asynchronous IPC and the implications for system design.
The document discusses containerd, a core container runtime used with various orchestration frameworks, and highlights its CNFC graduation status and integration with platforms like Docker and Kubernetes. It details features of containerd, including lazy pulling, runtime options, and plugins such as the stargz snapshotter, enhancing image management and performance. Furthermore, it references multiple resources and ongoing developments related to containerd's architecture and functionalities.
Deep Dive In To Redis Replication: Vishy KasarRedis Labs
?
This document summarizes a presentation about Redis replication. It discusses the basics of Redis replication including that it is asynchronous and non-blocking on the master. It also covers replication configuration, monitoring, data consistency, and memory usage. The presentation agenda includes topics like full and partial synchronization, and common replication issues. It concludes with an offer to demo Redis replication.
HKG18-411 - Introduction to OpenAMP which is an open source solution for hete...Linaro
?
The document introduces OpenAMP, a standard for facilitating communication between multiple operating systems in sophisticated System-on-Chip (SoC) environments, addressing lifecycle, communication, and resource handling issues. It outlines the OpenAMP library and its components such as RPMsg for message passing and RemoteProc for lifecycle management. The document also discusses ongoing changes and future improvements related to OpenAMP and its implementation across various operating systems and hardware platforms.
[KubeCon NA 2020] containerd: Rootless Containers 2020Akihiro Suda
?
Rootless containers allow running container runtimes as a non-root user, enhancing security by mitigating vulnerabilities and misconfigurations. Although they are not a complete solution against all threats, they prevent unauthorized access to files and system components. The technology has evolved from its inception in 2012 to widespread adoption in various projects like Docker, Kubernetes, and BuildKit, with ongoing improvements in performance and functionality.
Spider's HA structure includes data nodes, spider nodes, and monitoring nodes. Data nodes store data, spider nodes provide load balancing and failover, and monitoring nodes monitor data nodes. To add a new data node without stopping service: 1) Create a new table on the node, 2) Alter tables on monitoring nodes to include new node, 3) Alter clustered table connection to include new node, 4) Copy data to new node. This maintains redundancy when a node fails without service interruption.
Virtio is an I/O virtualization framework for Linux that provides an abstraction layer for virtual devices. It standardizes the interface between paravirtualized guest operating systems and hypervisors to improve efficiency and promote code reuse. Virtio defines front-end drivers for the guest and back-end drivers for the hypervisor to communicate. It uses virtual queues and buffer abstractions to encapsulate data and commands exchanged between the guest and hypervisor. Major hypervisors like KVM and Xen support virtio to virtualize network, block, and other device types in a standardized way.
InnoDB Architecture and Performance Optimization, Peter ZaitsevFuenteovejuna
?
This document provides an overview of the Innodb architecture and performance optimization. It discusses the general architecture including row-based storage, tablespaces, logs, and the buffer pool. It covers topics like indexing, transactions, locking, and multi-versioning concurrency control. Optimization techniques are presented such as tuning memory configuration, disk I/O, and garbage collection parameters. Understanding the internal workings is key to advanced performance tuning of the Innodb storage engine in MySQL.
Transparent sharding with Spider: what's new and getting startedMariaDB plc
?
The document discusses the capabilities and features of the Spider storage engine for MariaDB, focusing on its sharding capabilities and high availability. It outlines the architecture, setup procedures, and enhancements in new versions, including support for partitioning, direct join functionality, and DDL pushdown. The document also presents various use cases and best practices for implementing Spider in scalable database environments.
The document presents a detailed overview of packet processing in Linux, focusing on the XDP (Express Data Path) technology and its applications for enhancing network performance. It covers various packet processing concepts such as filtering, forwarding, NAT, and traffic control, while demonstrating practical examples using netfilter and traffic control commands. Additionally, it provides insights into performance metrics, showcasing packet drop rates and test environments to illustrate the effectiveness of these techniques.
Here are some useful GDB commands for debugging:
- break <function> - Set a breakpoint at a function
- break <file:line> - Set a breakpoint at a line in a file
- run - Start program execution
- next/n - Step over to next line, stepping over function calls
- step/s - Step into function calls
- finish - Step out of current function
- print/p <variable> - Print value of a variable
- backtrace/bt - Print the call stack
- info breakpoints/ib - List breakpoints
- delete <breakpoint#> - Delete a breakpoint
- layout src - Switch layout to source code view
- layout asm - Switch layout
Debug dpdk process bottleneck & painpointsVipin Varghese
?
The document outlines debugging and troubleshooting strategies for bottlenecks and performance issues in a Linux-based application environment using DPDK, focusing on packet processing. It provides a detailed checklist for diagnosing issues related to received and transmitted packet rates, packet drops, producer and consumer rings, memory management, and crypto performance. Various functions and commands are suggested for gathering statistics and configurations to ensure optimal performance and identify areas needing attention.
MongoDB WiredTiger Internals: Journey To TransactionsMydbops
?
This document presents an in-depth overview of MongoDB's WiredTiger storage engine, focusing on its architecture, transaction management, and internal workings. It discusses MongoDB's evolution with WiredTiger, including transaction features introduced in various versions, as well as features like MVCC and journaling for data integrity. The presentation outlines practical implications for developers and DBA practitioners, emphasizing best practices for managing transactions and performance optimization.
DPDK greatly improves packet processing performance and throughput by allowing applications to directly access hardware and bypass kernel involvement. It can improve performance by up to 10 times, allowing over 80 Mbps throughput on a single CPU or double that with two CPUs. This enables telecom and networking equipment manufacturers to develop products faster and with lower costs. DPDK achieves these gains through techniques like dedicated core affinity, userspace drivers, polling instead of interrupts, and lockless synchronization.
This document provides an overview of GNU Make, Autotools, and CMake. It begins with a disclaimer and then outlines the topics to be covered, including GNU Make, Autotools, CMake, comparisons between the tools, and a question and answer section. The document recommends using tabs rather than spaces for indentation in code examples.
From Home Enabled Personal Media To Instant Personal Media Sharingguest829cce0
?
Universal Plug and Play (UPnP) and Digital Living Network Alliance (DLNA) technologies allow for the sharing and streaming of digital media content between devices on a home network. UPnP defines protocols for device discovery, control, and event notification, while DLNA builds on UPnP to establish standards for interoperability between networked consumer electronics devices. The document discusses UPnP protocols such as discovery, description, control, and eventing. It also covers DLNA device classes, media formats, and the content directory and connection manager services used by digital media servers.
The document discusses various aspects of cross-compilers and the LLVM (Low-Level Virtual Machine) framework, emphasizing its ability to function as a static compiler without requiring garbage collection or runtime code generation. It highlights the importance of LLVM in modern programming, its components, and the benefits of using a virtualized compiler architecture. Furthermore, it touches on the evolution of programming languages and their relationship with the LLVM infrastructure.