Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Isolated parts of the database can serve read/write requests in case of network partition. To prevent conflicts, a database must sacrifice availability in case of network partitioning and stop all but one partition.

Database 213

Database Latency C++ Scalability 213

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency.

Open Source 61

Open Source Hardware Benchmarking Systems 61

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

The Morning Paper

OCTOBER 4, 2020

The first 5G networks are now deployed and operational. The study is based on one of the world’s first commercial 5G network deployments (launched in April 2019), a 0.5 The 5G network is operating at 3.5GHz). The maximum physical layer bit-rate for the 5G network is 1200.98 The short answer is no.

Energy 130

Energy Latency Performance Network 130

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Alex Russell

MARCH 6, 2021

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Modern network performance and availability.

Performance 127

Performance Network Metrics Cache 127

The Morning Paper

JUNE 25, 2019

There’s another emerging option that we didn’t talk about there: the use of far-memory , memory attached to the network that can be remotely accessed without mediation by a local processor. Processor caches can help to hide local accesses too, but not remote accesses. Clients cache the entire tree, but not the hash tables.

Design 80

Design Cache Hardware Scalability 80

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. GAIA proposed to expand the OS page cache into accelerator memory. Heterogeneous ISA. Programmable I/O Devices.

Architecture 12

Architecture Hardware Cache Storage 12

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

Highly Scalable

APRIL 2, 2012

The rationale behind these methods is that frontend should be able to fetch transient information very efficiently and separately from fetching of heavy-weight domain entities because this information cannot be cached. So, the only way was to cache all necessary data to minimize interaction with RDBMS. Entity Gateway.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Testsigma

JUNE 3, 2021

Hardware error. We focus on software so much that we forget about the hardware failures. If the hardware gets disconnected or stops working then we cannot expect correct output from the software. Example: Printers and other hardware devices return bits of information that something is not right. Hardware issues.

Software 82

Software Software Testing Hardware 82

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Without enough infrastructure (physical or virtualized servers, networking, etc.),

Availability 114

Availability Database Open Source Hardware 114

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 109

Performance Monitoring Traffic Database 109

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. An extension to Service Workers that enables browsers to present users with cached content when offline. Delayed five years.

Media 145

Media Games Education Engineering 145

Scalegrid

JANUARY 5, 2024

Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types. These can be mitigated through the implementation of: efficient query optimization caching of database queries utilization of database indexes implementation of session storage employing database read replication and sharding.

Efficiency 147

Efficiency Storage Database Scalability 147

Percona

MAY 2, 2023

ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. If we expand the cache concept more, the buffer pool could be even less if the working set (hot data) is smaller. Questions Q: I have a MySQL server with 500 GB of RAM; my data set is 100 GB. How large my InnoDB buffer pool needs to be?

Social Media 126

Social Media Database Servers Cache 126

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 103

Performance Latency Cache Virtualization 103

Sutter's Mill

FEBRUARY 13, 2017

” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.”

Latency 48

Latency C++ Hardware Performance 48

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. BTW, the "i" in the Standard_E64is_v3 naming means that the instance is isolated to hardware dedicated to a single customer.

Azure 72

Azure Virtualization Servers Storage 72

CSS - Tricks

JULY 25, 2019

Cache-Headers missing? Lighthouse uses Chrome’s Remote Debugging Protocol to read network request information, measure JavaScript performance, observe accessibility standards and measure user-focused timing metrics like First Contentful Paint , Time to Interactive or Speed Index. After that, it’ll be mitigated by cache.

Google 72

Google Engineering Speed Mobile 72

Alex Russell

OCTOBER 22, 2017

We constrain ourselves to a real-world baseline device + network configuration to measure progress. Budgets are scaled to a benchmark network & device. JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. The median user is on a slow network.

Performance 74

Performance Network Benchmarking Mobile 74

Speed Curve

DECEMBER 16, 2024

RUM can tell you where that time is being spent, whether its network related or due to CDN or origin issues. Page was restored from back-forward cache – The bfcache essentially stores the full page in memory when navigating away from the page. We will periodically update these profiles as web performance trends change.

Cache 52

Cache Google Metrics Hardware 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. Microarchitectural channels. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. Hyperscale achieves high performance from each compute node having SSD-based caches which helps minimize the network round trips to fetch data. New Hardware Configuration for Provisioned Compute Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For the network, we can use Iperf to assess the network bandwidth between the client and the database server to ensure it will be enough to meet our peak requirement.

Performance 55

Performance Benchmarking Cache Storage 55

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

The Morning Paper

FEBRUARY 20, 2020

NN translation optimisations replace classical ML operators and data ‘featurizers’ with neural networks that can be executed directly in e.g. ONNX Runtime, PyTorch, or TensorFlow. " For single or very small numbers of predictions, Raven is faster due to SQL Server’s caching. " Query execution. The last word.

Processing 72

Processing Hardware Database Azure 72

The Morning Paper

MAY 14, 2019

When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation. E.g., in memcached there are five main internal stages, each of which has a hardware or software queue associated with it.

Big Data 45

Big Data Cloud Performance Hardware 45

Smashing Magazine

JANUARY 15, 2019

This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. Reduce Network Requests. Large preview ).

Website Performance 74

Website Performance Website Energy Performance 74

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. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. What about security?

Hardware 56

Hardware Programming Media Storage 56

Abhishek Tiwari

DECEMBER 27, 2017

Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache. Leveraging the recent hardware advances.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Highly Scalable

AUGUST 20, 2013

The whole point of this section is that all the algorithms above can be naturally implemented using a message passing architectural style i.e. the query execution engine can be considered as a distributed network of nodes connected by the messaging queues. It is conceptually similar to the in-stream processing pipelines. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Ecommerce 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Ecommerce 40

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? I don’t think so in this case, but this paper will take you down into the nitty-gritty of getting the best out of modern processors and networks, with up to two orders of magnitude single node throughput gains to be had. What’s their secret???

Blockchain 46

Blockchain Hardware Google Speed 46