Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms.

Efficiency 147

Efficiency Storage Database Scalability 147

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 85

Database Hardware Open Source Strategy 85

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 104

Availability Database Open Source Hardware 104

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Downtime due to SPOFs can also be attributed to bottlenecks from architectures designed for applications instead of databases. Without enough infrastructure (physical or virtualized servers, networking, etc.),

Availability 81

Availability Open Source Architecture Database 81

High Scalability

OCTOBER 24, 2022

Each cloud-native evolution is about using the hardware more efficiently. Network effects are not the same as monopoly control. You can even go old school and use non cloud-native architectures. Cloud providers incur huge fixed costs for creating and maintaining a network of datacenters spread throughout the word.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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. In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

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

All Things Distributed

MARCH 11, 2016

The expectation was that with each order or two of magnitude, we would need to revisit and revise the architecture to make sure we could address the issues of scale. We needed to build such an architecture that we could introduce new software components without taking the service down. The importance of the network.

AWS 147

AWS Hardware Retail Virtualization 147

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. 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.

Architecture 52

Architecture Cache Azure Storage 52

SQL Performance

APRIL 27, 2020

The basic tier provides up to 5 DTUs with standard storage. The standard tier supports from 10 up to 3000 DTUs with standard storage and the premium tier supports 125 up to 4000 DTUs with premium storage, which is orders of magnitude faster than standard storage. New Hardware Configuration for Provisioned Compute Tier.

Azure 55

Azure Database Serverless Hardware 55

Tech News Gather

JULY 19, 2023

Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. Hubs The hub would be the primary data collector and manager for a network of remote monitoring smart devices. Connect the architectural pieces of your program using secure gateways.

Wireless 52

Wireless IoT Development Internet 52

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

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. Delta implements the unified data management layer by extending the Amazon S3 object storage for ACID transactions and automatic data indexing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

High Scalability

NOVEMBER 14, 2018

New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime.

Design 54

Design Education Google Internet 54

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

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

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52

Energy Hardware Efficiency Architecture 52

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. For example: Read/Write tickets WiredTiger uses tickets to control the number of read / write operations simultaneously processed by the storage engine. The report focuses on MySQL, but it is valid for MongoDB as well.

Best Practices 52

Best Practices Design Tuning Database 52

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

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). optimised container networking and security. For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Storage provisioning. But Kubernetes storage is evolving quite quickly.

Big Data 63

Big Data Storage Benchmarking Hardware 63

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Total Cost of Ownership and the Return on Agility. By Werner Vogels on 16 August 2012 10:00 AM.

AWS 118

AWS Hardware Traffic Best Practices 118

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

All Things Distributed

APRIL 5, 2012

From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Intelligent Social network - Facilitate topical Q&A conversations among employees, customers and our most valued super contributors. Teachers can interact with their colleagues in professional learning networks.

Innovation 149

Innovation AWS Education Network 149

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 119

Cloud AWS Automotive Latency 119

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. Deployment Schema and High-Level Architecture.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

ACM Sigarch

AUGUST 20, 2018

same instruction set architecture, same operating system, etc.). Looking at current hardware and software security research, however, we are seeing a number of technologies that are being developed that limit this type of broad interoperability. The cloud system can perform processing steps (e.g.,

Hardware 47

Hardware Operating System Architecture Software 47

Adrian Cockcroft

JUNE 21, 2022

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product.

Tuning 52

Tuning Benchmarking Engineering C++ 52

All Things Distributed

SEPTEMBER 6, 2013

Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 130

Cloud Energy AWS Healthcare 130

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well. From CPU to GPU. General Purpose GPU programming.

AWS 136

AWS Latency Programming Architecture 136

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. MongoDB is popular with developers as it is easy to get started with.

Database 78

Database Servers Storage Strategy 78