Dynatrace

OCTOBER 28, 2020

This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. There’s a more efficient way with Dynatrace. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest software releases twice a year.

Monitoring 146

Monitoring Systems Infrastructure Cloud 146

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 90

Database Hardware Open Source Strategy 90

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. An SDC is the worst possible outcome of a fault, as it can have an arbitrary impact on the correctness of software running on the hardware. Therefore, testing alone is unlikely to be the definitive solution to address these new faults.

Energy 52

Energy Hardware Best Practices Architecture 52

Dynatrace

DECEMBER 20, 2019

There’s a more efficient way with Dynatrace! From mainframe to mobile, Dynatrace has the broadest technology coverage, including supported languages, application architectures, cloud, on-premise or hybrid, enterprise apps, SaaS monitoring, and more. Stop searching, find answers. All things come to those who wait?

Infrastructure 134

Infrastructure Government Cloud Monitoring 134

Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

Open Source 91

Open Source Storage Database Big Data 91

All Things Distributed

JULY 20, 2015

Today, I want to explore the Amazon ECS architecture and what this architecture enables. To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures. task definition). Let’s talk about what Amazon ECS is actually doing.

Latency 166

Latency Architecture AWS Open Source 166

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Low-effort/high-impact actions are easy wins, and definitely worth prioritizing. Hardware And E-Waste. Making performance improvements to a client’s site could result in happier clients who send more business our way.

Strategy 123

Strategy Development Energy Website 123

High Scalability

NOVEMBER 25, 2019

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. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. The closer one looks, the less a definition of "appiness" can be pinned down to specific technologies.

Hardware 64

Hardware Mobile Programming Java 64

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. 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. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

All Things Distributed

SEPTEMBER 4, 2017

This has allowed for more research, which has resulted in reaching the "critical mass" in knowledge that is needed to kick off an exponential growth in the development of new algorithms and architectures. Definitely, because they offer business and society fascinating possibilities. Progress through machine learning.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. The point-of-sales system records changes from all the purchases and stores them in DynamoDB.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

DECEMBER 20, 2017

The benefit for customers: Authorized users can view this data and therefore manage their inventories across different sites, making the maintenance processes much more efficient. We need mechanisms that enable the mass production of data using software and hardware capabilities. This pattern should be broken.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. Mirroring can be implemented at a software or hardware level.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Meanwhile, budget segment devices have finally started to see improvement ( as this series predicted ), thanks to hand-me-down architecture and process node improvements.

Performance 90

Performance Network Mobile Speed 90

Alex Russell

OCTOBER 22, 2017

One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

JULY 14, 2021

I've got a long blog post brewing on this, but jumping to the end, an operable definition is: A browser is an application that can register with an OS to handle http and https navigations by default. Hardware access APIs, notably: Geolocation. Commenters forwarding these claims, as a rule, do not understand browser architecture.

Google 121

Google Mobile Engineering Internet 121

Smashing Magazine

JANUARY 6, 2020

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). Still, after all these years, keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Use progressive enhancement as a default.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Still, after all these years, keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 7, 2019

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). Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Consider using PRPL pattern and app shell architecture.

Performance 103

Performance Cache Metrics Network 103