ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. Berger (Microsoft) shared the state of memory systems in the public cloud and projected two use cases of CXL-based disaggregated memories in the cloud ( IEEE Micro and ASPLOS’23 ).

Latency 52

Latency Hardware Cache Architecture 52

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. DynamoDB is the result of 15 years of learning in the areas of large scale non-relational databases and cloud services. All Things Distributed. Amazon DynamoDB â??

Scalability 167

Scalability Database Ecommerce Latency 167

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). So while scale out has seen the majority of attention in the cloud era, it’s good to remind ourselves periodically just what we really can do on a single box or even a single thread. MPSM: First things first.

Servers 128

Servers Hardware Latency Design 128

All Things Distributed

APRIL 4, 2017

After the launch of the AWS EU (Stockholm) Region, there will be 13 Availability Zones in Europe for customers to build flexible, scalable, secure, and highly available applications. This enables customers to serve content to their end users with low latency, giving them the best application experience.

AWS 116

AWS Airlines Latency Games 116

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. All Things Distributed. Comments (). until today.

Cloud 118

Cloud AWS Automotive Latency 118

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. Scalability. No more having to worry about maintenance, patching, or scaling.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dotcom-Montior

MAY 12, 2020

Modern web applications and pages, such as single-page applications, that put the user experience at its utmost priority are expected to be available 24/7, anywhere in the world, usable on any screen size, secure, flexible, scalable and be ready to meet traffic spikes on demand. Network latency. Hardware resources. Wi-Fi usage.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Download Now What is Amazon Aurora?

AWS 52

AWS Database Serverless Storage 52

Dotcom-Montior

NOVEMBER 24, 2021

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., Software and hardware components are autonomous and execute tasks concurrently. Scalability. Gone are the days of monolithic architecture. Concurrency. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

All Things Distributed

MARCH 11, 2016

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. This is a given, whether you are using the highest quality hardware or lowest cost components.

AWS 144

AWS Hardware Retail Virtualization 144

High Scalability

SEPTEMBER 14, 2018

Hey, it's HighScalability time: The Cloud Native Interactive Landscape is fecund. And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. changelog ). Do you like this sort of Stuff?

Internet 30

Internet Internet Scalability Education 30

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 56

Hardware Latency Virtualization Cloud 56

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g.,

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? All Things Distributed. Comments ().

Storage 115

Storage AWS Virtualization Cloud 115

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

AUGUST 5, 2019

Across the board, the topics cloud migration, application modernization, breaking the monolith or hybrid cloud re-platforming have been a center point in many of our discussions with our joint enterprise customers. If you can answer all these questions fine – if not: get your own Dynatrace Trial and start installing OneAgents.

Cloud 31

Cloud Traffic Database Network 31

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 40

Hardware Latency Virtualization Cloud 40

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. For example, the most fundamental abstraction trade-off has always been latency versus throughput. All Things Distributed. Comments ().

AWS 136

AWS Latency Programming Architecture 136

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

KeyCDN

AUGUST 15, 2019

Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability. Bottlenecks are just one of many problems that can occur when your website isn’t scalable. If you don’t test, then you’ll have to learn about them the hard way.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Abhishek Tiwari

DECEMBER 27, 2017

portability between cloud and on-premises. Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. direct access to raw block storage [18] without the abstraction of a filesystem for workloads that require consistent I/O performance and low latency.

Big Data 63

Big Data Storage Benchmarking Hardware 63

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Smashing Magazine

JANUARY 6, 2020

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. 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). A good starting point is to choose a good default stack for your application.

Performance 104

Performance Cache Network Metrics 104