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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

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). Future 5G Standalone Architecture (SA) deployments with a native 5G control plane will not have this problem.

Energy 130

Energy Latency Performance Network 130

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network.

Architecture 52

Architecture Cache Azure Storage 52

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

The Morning Paper

MARCH 8, 2020

When I think about cloud-native architectures, I think about disaggregation (enabling each resource type to scale independently), fine-grained units of resource allocation (enabling rapid response to changing workload demands, i.e. elasticity), and isolation (keeping tenants apart). From shared-nothing to disaggregation.

Storage 112

Storage Engineering Cache Serverless 112

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 110

Performance Latency Cache Virtualization 110

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 124

Performance Network Cache Metrics 124

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

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

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

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. 300ms RTT, 1.6 Mbps down, 0.8

Performance 145

Performance Cache Media Metrics 145

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

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

Smashing Magazine

JANUARY 6, 2020

If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. To make the performance impact more visible, you could even introduce 2G Tuesdays or set up a throttled 3G/4G network in your office for faster testing. 300ms RTT, 1.6 Mbps down, 0.8

Performance 145

Performance Cache Network Metrics 145

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. Note that the class size is limited to about 100, so that I’ll be able to interact with most attendees directly.

Latency 51

Latency C++ Hardware Performance 51

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache. There is an issue with this, which causes the OS to swap even with memory available.

Best Practices 52

Best Practices Design Tuning Database 52

Smashing Magazine

JANUARY 7, 2019

If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled network (e.g. To make the performance impact more visible, you could even introduce 2G Tuesdays or set up a throttled 3G network in your office for faster testing. 150ms RTT, 1.5 Mbps down, 0.7 Mbps up) with a throttled CPU (5× slowdown).

Performance 104

Performance Cache Network Metrics 104

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 52

Performance Latency Cache Virtualization 52

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 71

Google Engineering Speed Mobile 71

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 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 Healthcare 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 Healthcare 40

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

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. One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. The median user is on a slow network.

Performance 68

Performance Benchmarking Network Mobile 68

John McCalpin

NOVEMBER 5, 2016

The art and science of microprocessor architecture is a never-ending struggling to balance complexity, verifiability, usability, expressiveness, compactness, ease of encoding/decoding, energy consumption, backwards compatibility, forwards compatibility, and other factors.

Cache 40

Cache C++ Latency Hardware 40

ACM Sigarch

NOVEMBER 4, 2019

The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. For the feed-forward neural network, TensorFlow using GPUs is still significantly faster with smaller hidden layers, but cannot scale.

Network 44

Network Database Programming Hardware 44

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. Marz, “Big Data Lambda Architecture”. Pipelining. Jacobsen and R.

Big Data 154

Big Data Processing Lambda Database 154