Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

All Things Distributed

MAY 22, 2013

Werner Vogels weblog on building scalable and robust distributed systems. Amazon Redshift and Designing for Security. Amazon Redshift can also be set up to encrypt all data at rest using hardware-accelerated AES-256. All Things Distributed. By Werner Vogels on 22 May 2013 08:30 AM. Comments ().

Design 110

Design AWS Hardware Media 110

ACM Sigarch

APRIL 26, 2018

BPU: Brain Processing Unit is the design of the AI chips by Horizon Robotics. With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Dynatrace

OCTOBER 28, 2021

A disruption spanning hardware, networks, and cloud infrastructure can require input and participation from network and infrastructure architects, risk experts, security teams, and even procurement officers. It makes experiments repeatable and scalable so teams can apply them to future experiments of the same or larger stacks.

Engineering 224

Engineering Entertainment Cloud Infrastructure 224

High Scalability

NOVEMBER 14, 2018

Five years ago when Google published The Datacenter as a Computer: Designing Warehouse-Scale Machines it was a manifesto declaring the world of computing had changed forever. The world is still changing, so Google published a new edition: The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition.

Design 54

Design Education Google Internet 54

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Cloud 213

ACM Sigarch

MAY 31, 2023

using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management. About CXL hardware availability with academia. About application transparency.

Latency 52

Latency Hardware Cache Architecture 52

The Morning Paper

NOVEMBER 5, 2019

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. It should offer high bandwidth, horizontal scalability, fault tolerance, and strong consistency. Supporting new storage hardware.

Storage 64

Storage Systems Hardware Efficiency 64

Percona

DECEMBER 27, 2023

It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. We want adopters of our technology to be able to deploy their critical open source databases and applications across any public or private cloud environment.

Cloud 82

Cloud Open Source Strategy Best Practices 82

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. Scalability: As an application expands and needs to handle more data and user loads, the database must scale accordingly.

Tuning 52

Tuning Efficiency Database Performance 52

Testsigma

APRIL 4, 2022

Mocking Component Behavior Useful in IoT & Embedded Software Testing Can also reduce (or eliminate) actual hardware/component need Test Reporting Generating summary report/email. Here are some examples: Test Environment Setup: Installing libraries using scripts Setting configuration variables, etc. Linking screenshots/logs to the reports.

Testing 95

Testing Open Source IoT Programming 95

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

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 54

Performance Benchmarking Cache Storage 54

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Scalability comes at a price. Scalability: A cloud-based tool offers scalability.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

MAY 5, 2020

We’re therefore excited to announce that Dynatrace has received the Amazon RDS Service Ready designation. Achieving this designation differentiates Dynatrace as an AWS Advanced Technology Partner with a product that is integrated with Amazon RDS and is generally available and fully supported.

Design 141

Design AWS Education Innovation 141

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. Attendees could be broken down into several distinct groups. Very Well!”

Hardware 56

Hardware Latency Virtualization Cloud 56

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable. All Things Distributed. Expanding the Cloud - The AWS Storage Gateway. By Werner Vogels on 23 January 2012 12:01 AM.

Storage 115

Storage AWS Virtualization Cloud 115

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

Testsigma

JANUARY 30, 2021

The applications are designed using the same code base as Desktop like HTML, Javascript, and CSS. Unlike Native Applications, Mobile web applications do not have to be designed separately for IOS and Android. The application should be designed in such a way that it compels users to revisit the site again.

Mobile 52

Mobile Testing Website Internet 52

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Cluster Compute Instances for Amazon EC2 change the HPC game for two important reasons: Access to scalable on-demand capacity.

Cloud 118

Cloud AWS Automotive Latency 118

Scalegrid

JANUARY 8, 2024

Discover key insights and strategic advice in our article, designed to steer you toward the best cloud solution that fits your company’s priorities. On the other hand, a hybrid model combines at least one private cloud solution with one or more public clouds to strike an optimal balance between security controls and scalability.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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. Attendees could be broken down into several distinct groups. Very Well!”

Hardware 40

Hardware Latency Virtualization Cloud 40

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability. Finally, there’s scalability. Serverless architecture offers several benefits for enterprises. Simplicity.

Serverless 279

Serverless AWS Lambda Storage 279

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on. Streaming algorithms.

Scalability 159

Scalability Hardware AWS Tuning 159

Dotcom-Montior

DECEMBER 8, 2021

ITSM defines how teams design, create, and deliver their services. Software services still require physical devices and hardware for them to function. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

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

The Morning Paper

JUNE 25, 2019

Designing far memory data structures: think outside the box Aguilera et al., Therefore, if we want to make full use of one-sided far memory, we need to think carefully about the design of our data structures to make that access efficient. This makes it challenging to design effective far memory data structures. HotOS’19.

Design 80

Design Cache Hardware Scalability 80

Percona

OCTOBER 18, 2023

Flexibility and scalability Open source databases provide much greater flexibility regarding customization and configuration. Compatibility Open source databases are designed with interoperability at their core, adhering to industry standards and offering support for a wide range of data import and export formats.

Open Source 95

Open Source Database Hardware Strategy 95

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 250

Development Serverless Best Practices Lambda 250

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Redundancy provides backups and safeguards against data loss in case of hardware failures. there cannot be high availability.

Availability 82

Availability Hardware Open Source Database 82

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 91

Database Hardware Open Source Strategy 91

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

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. It also supports the flexibility and scalability of the database infrastructure.

Availability 110

Availability Database Open Source Hardware 110

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

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 169

Architecture Availability Infrastructure Metrics 169