Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. Storage provisioning. But Kubernetes storage is evolving quite quickly. optimised container networking and security.

Big Data 63

Big Data Storage Benchmarking Hardware 63

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. Driving Storage Costs Down for AWS Customers. Comments ().

Cloud 119

Cloud AWS Automotive Latency 119

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. 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

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

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. I hope this helps!

Performance 123

Performance Hardware Tuning Storage 123

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. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

The Morning Paper

MARCH 17, 2020

An empirical guide to the behavior and use of scalable persistent memory , Yang et al., higher latency and lower bandwidth)… We have found the actual behavior of Optane DIMMs to be more complicated and nuanced than the "slower, persistent DRAM" label would suggest. The read latency for Optane is 2x-3x higher than DRAM.

Scalability 59

Scalability Latency Cache Media 59

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.

AWS 52

AWS Database Serverless Storage 52

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 147

AWS Hardware Retail Virtualization 147

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . driver: intel_pstate CPUs which run at the same hardware frequency: 0 .

Best Practices 40

Best Practices Scalability Performance C++ 40

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Network latency. Hardware resources. Network Latency. Network latency can be affected due to. Hardware Resources. Website and web application technologies have grown tremendously over the years. Wi-Fi usage.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

High Scalability

SEPTEMBER 14, 2018

NSF : When the HL-LHC reaches full capability in 2026, it is expected to produce more than 1 billion particle collisions every second, marking a 10-fold increase that will require a similar 10-fold increase in data processing and storage, including tools to collect, analyze, and record the most relevant events. So many more quotes.

Internet 30

Internet Internet Scalability Education 30

Highly Scalable

SEPTEMBER 18, 2012

Scalability is one of the main drivers of the NoSQL movement. Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. Read/Write latency. Read/Write scalability. Data Placement.

Database 213

Database Latency C++ Scalability 213

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. For example, the most fundamental abstraction trade-off has always been latency versus throughput. The throughput of this pipeline is more important than the latency of the individual operations. All Things Distributed. Comments (). Where to go from here?

AWS 136

AWS Latency Programming Architecture 136

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Remember: This is a critical aspect as you do not want to migrate a service and suddenly introduce high latency or costs to a system that you forgot about having a dependency with!

Cloud 31

Cloud Traffic Database Network 31

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 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 103

Performance Cache Metrics Network 103