Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 140

Performance Latency Hardware Storage 140

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

HammerDB

OCTOBER 23, 2023

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. However, with more complex application logic this network round trip soon becomes a key focus area for improving performance. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

Brendan Gregg

AUGUST 18, 2019

For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. For smaller environments, it can be of more use helping eliminate latency outliers. bpftrace uses BPF (Berkeley Packet Filter), an in-kernel execution engine that processes a virtual instruction set.

Latency 68

Latency C++ Cache Programming 68

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

All Things Distributed

JANUARY 23, 2012

The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable. Data written to these volumes is maintained on your on-premises storage hardware while being asynchronously backed up to AWS, where it is stored in Amazon S3 in the form of Amazon EBS snapshots.

Storage 115

Storage AWS Virtualization Cloud 115

Dotcom-Montior

DECEMBER 8, 2021

You cannot virtualize everything…yet. Software services still require physical devices and hardware for them to function. Knowing when and where an error, downtime, or application latency occurs is a critical factor in limiting the impact to users and customers. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

Storage 130

Storage Systems Big Data Azure 130

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. optimised container networking and security. In fact, if we go by current trends containerised microservices running on Kubernetes are the future.

Big Data 63

Big Data Storage Benchmarking Hardware 63

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. When customers left the constraining, old world of IT hardware and datacenters behind, they started to develop systems with new and interesting usage patterns that no one had ever seen before. The importance of the network.

AWS 144

AWS Hardware Retail Virtualization 144

Dotcom-Montior

NOVEMBER 24, 2021

There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network. The recipe was straightforward. Peer-to-Peer.

Systems 74

Systems Monitoring Hardware Network 74

SQL Performance

APRIL 27, 2020

Fast forward a few years after Azure SQL Database was released to when Azure SQL Managed Instance was in public preview, and "vCores" (virtual cores) were announced for Azure SQL Database. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. New Hardware Configuration for Provisioned Compute Tier.

Azure 55

Azure Database Serverless Hardware 55

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. Therefore any programming abstraction must be low latency and the kernel needs to be kept off the path of persistent data access as much as possible.

Hardware 56

Hardware Programming Media Storage 56

Percona

APRIL 17, 2023

Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100. The CFQ works well for many general use cases but lacks latency guarantees. Without further ado, let’s start with the OS settings.

Best Practices 52

Best Practices Design Tuning Database 52

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. There are also stateless interconnects including buses and on-chip networks. Requirement 4 : State flushing must be padded to its worst-case latency.

Hardware 44

Hardware Cache Latency Speed 44

Alex Russell

APRIL 29, 2021

Real-time network protocols for enabling videoconferencing, desktop sharing, and game streaming applications. Modern, asynchronous network APIs that dramatically improve performance in some situations. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience. Gamepad API.

Media 145

Media Games Education Engineering 145

Brendan Gregg

AUGUST 8, 2017

90491 N|rnberg (Germany) Consulting+Networking+Programming+etc'ing 42. They are demand on the system, albeit for software resources rather than hardware resources. ## Decomposing Linux load averages Can the Linux load average value be fully decomposed into components? Network I/O? Latency was acceptable and no one complained.

Latency 111

Latency Metrics C++ Systems 111

Brendan Gregg

SEPTEMBER 5, 2017

Here's some output from my zfsdist tool, in bcc/BPF, which measures ZFS latency as a histogram on Linux: # zfsdist. Tracing ZFS operation latency. At my employer we sometimes use SR-IOV for direct network interface access, and NVMe for direct disk access. Hit Ctrl-C to end. ^C x series.

Virtualization 76

Virtualization AWS Engineering Hardware 76

Dynatrace

AUGUST 5, 2019

While most of our cloud & platform partners have their own dependency analysis tooling, most of them focus on basic dependency detection based on network connection analysis between hosts. What is the network traffic going to be between services we migrate and those that have to stay in the current data center?

Cloud 31

Cloud Traffic Database Network 31

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

url=/library/en-us/fileio/fs/sparse_files.asp ) ​​ on the ​​ Microsoft Developer Network ​​ (MSDN). ​​ Extended Data: ​​ “incorrect checksum (expected:​​ ## ; actual:​​ ## )” Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. 300ms RTT, 1.6

Performance 145

Performance Cache Media Metrics 145