Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Dotcom-Montior

DECEMBER 8, 2021

The IT service catalog is typically a database or resource that an organization creates to provide users with information on their operational services and offerings. Software services still require physical devices and hardware for them to function. Service Catalog. Change management is also sometimes grouped with release management.

Social Media 90

Social Media Monitoring Latency DevOps 90

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. Job Openings in AWS - Senior Leader in Database Services.

Cloud 119

Cloud AWS Automotive Latency 119

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

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.

Performance 122

Performance Hardware Tuning Storage 122

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. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications.

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

SEPTEMBER 18, 2012

Scalability is one of the main drivers of the NoSQL movement. These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases.

Database 213

Database Latency C++ Scalability 213

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? 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

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database.

Database 167

Database Lambda AWS IoT 167

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

Big Data 154

Big Data Processing Lambda Database 154

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. have adopted Kubernetes.

Efficiency 98

Efficiency Cloud Healthcare Open Source 98

HammerDB

OCTOBER 8, 2018

This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0. Latency: 0.

Best Practices 40

Best Practices Scalability Performance Hardware 40

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. That’s 100% faster.

AWS 117

AWS Airlines Latency Games 117

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. Database connectivity.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

HammerDB

OCTOBER 12, 2018

Similarly for this guide MySQL can be swapped for a mySQL based databases such as MariaDB. As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. As is exactly the same with PostgreSQL for system choice a 2 socket system is optimal for MySQL OLTP performance.

Best Practices 40

Best Practices Scalability Performance C++ 40

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? Software and hardware components are autonomous and execute tasks concurrently. Scalability.

Systems 74

Systems Monitoring Hardware Network 74

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00 current CPU frequency: Unable to call hardware current CPU frequency: 1.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

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

O'Reilly Software

APRIL 4, 2018

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components.

Architecture 80

Architecture Scalability Google Operating System 80

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

Dynatrace

AUGUST 5, 2019

Database & functional migration. 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. Step 4: Smart Database Migration. Which applications and services are depending on a database that might be impacted by a migration?

Cloud 31

Cloud Traffic Database Network 31

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? SQL Server 2005 introduces the snapshot database feature for point-in-time databases ​​ and online DBCC operations.

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 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