ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. The recently announced CXL3.0 The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

The Netflix TechBlog

JUNE 4, 2019

When you’re running in the cloud your containers are in a shared space; in particular they share the CPU’s memory hierarchy of the host instance. However, the key insight here is that these caches are partially shared among the CPUs, which means that perfect performance isolation of co-hosted containers is not possible.

Cache 251

Cache Latency Airlines Logistics 251

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Components of high availability infrastructure Multiple copies of data Data redundancy helps prevent data loss due to hardware or software failures. Redundancy is also critical for disaster recovery.

Availability 104

Availability Database Open Source Hardware 104

ACM Sigarch

FEBRUARY 23, 2018

I had a professor in grad school who used to joke that all architecture is reinvented every 5 years. Both virtualization and power burst onto the architecture community seemingly out of nowhere even though there was a clear historical basis and trend for both. The same myopic view clouds us as researchers.

Architecture 47

Architecture Cache Hardware Virtualization 47

Brendan Gregg

FEBRUARY 28, 2023

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation.

Storage 112

Storage Engineering Cache Serverless 112

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. 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. Edge caching. Migration to cloud.

Architecture 52

Architecture Cache Azure Storage 52

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Scalegrid

JANUARY 5, 2024

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

OCTOBER 4, 2020

Our analysis suggests that the wireline paths, upper-layer protocols, computing and radio hardward architecture need to co-evolve with 5G to form an ecosystem, in order to fully unleash its potential. This is a feature of the NSA architecture which requires dropping off of 5G onto 4G, doing a handover on 4G, and then upgrading to 5G again.

Energy 130

Energy Latency Performance Network 130

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. “ Preventing side-channel attacks between VMs hosted on public cloud infrastructure. Microarchitectural channels. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

Brendan Gregg

FEBRUARY 28, 2023

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] , Mar 2020 [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Abhishek Tiwari

DECEMBER 27, 2017

With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. 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. Event-driven data flow architecture.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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 48

Latency C++ Hardware Performance 48

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. The point-of-sales system records changes from all the purchases and stores them in DynamoDB.

Database 167

Database Lambda AWS IoT 167

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

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. A silver lining on this dark cloud is that mobile JavaScript payload growth paused in 2020. Hardware Past As Performance Prologue. The Moto G4 , for example. Mind The Gap.

Performance 124

Performance Network Cache Metrics 124

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. This improves page load time and caching during navigations. From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19).

Performance 145

Performance Cache Media Metrics 145

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. This helps developers decide when to increase server disk space and power or whether or not using a virtual cloud server is optimal.

Strategy 72

Strategy Metrics Monitoring Servers 72

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Still, after all these years, keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Use progressive enhancement as a default.

Performance 145

Performance Cache Network Metrics 145

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Smashing Magazine

JANUARY 7, 2019

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Consider using PRPL pattern and app shell architecture.

Performance 104

Performance Cache Metrics Network 104

All Things Distributed

JANUARY 18, 2012

DynamoDB is the result of 15 years of learning in the areas of large scale non-relational databases and cloud services. With Amazon DynamoDB, developers scaling cloud-based applications can start small with just the capacity they need and then increase the request capacity of a given table as their app grows in popularity.

Scalability 167

Scalability Database Ecommerce Latency 167

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. Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., VLDB’19.

Network 44

Network Database Programming Hardware 44