DZone

JANUARY 16, 2024

From the dawn of computers to the present day, a multitude of operating systems and distributions have emerged to meet the different demands and tastes of users. These early computing machines, known as mainframes, required a system to manage their hardware resources efficiently.

Operating System 147

Operating System Systems Hardware Efficiency 147

VoltDB

DECEMBER 11, 2024

Use hardware-based encryption and ensure regular over-the-air updates to maintain device security. Managing and storing this data locally presents logistical and cost challenges, particularly for industries like manufacturing, healthcare, and autonomous vehicles. As data streams grow in complexity, processing efficiency can decline.

IoT 52

IoT Energy Logistics Latency 52

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources. The concept is like text messaging — a feature most mobile phone users understand.

Monitoring 246

Monitoring Serverless Programming Speed 246

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources. The concept is like text messaging — a feature most mobile phone users understand.

Monitoring 246

Monitoring Serverless Programming Speed 246

The Netflix TechBlog

JUNE 4, 2019

The idea CFS operates by very frequently (every few microseconds) applying a set of heuristics which encapsulate a general concept of best practices around CPU hardware use. We are working on multiple fronts to extend the solution presented here. We formulate the problem as a Mixed Integer Program (MIP).

Cache 255

Cache Latency Airlines Logistics 255

Dynatrace

APRIL 15, 2022

While modern cloud systems simplify tasks — such as deploying apps and provisioning new hardware and servers — cloud environments can be surprisingly complex. ” This allows Dynatrace to present relevant data, in context, for applications and operations — delivering the best observability possible.

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Dynatrace

MAY 2, 2024

At this year’s RSA conference, taking place in San Francisco from May 6-9, presenters will explore ideas such as redefining security in the age of AI. Attendees will seek answers to two crucial questions: ‘How secure are we?’ ’ and ‘How compliant are we? Dive into the following resources to learn more.

Artificial Intelligence 264

Artificial Intelligence Cloud Best Practices DevOps 264

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. All this was made possible without any need for hardware upgrades : Misconfigured queue and pool sizes are a common issue in distributed architectures. . A reduced resource footprint also makes migrating to a public cloud more cost-efficient.

Cache 214

Cache Database Architecture Government 214

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. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Challenges of Multi-Cloud Although multi-cloud has its benefits, it also presents some obstacles.

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

Scalegrid

JUNE 14, 2024

Benefits of Power BI The advantages of Power BI are manifold, from its intuitive interface to its ability to handle large datasets efficiently. Captivating Data Visualization Data visualization is a key aspect of Power BI, enabling users to present complex data in a visually compelling manner. Why connect Power BI to a MySQL Database?

Database 130

Database Azure Efficiency Servers 130

ACM Sigarch

APRIL 26, 2018

HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. Compared with Google Pixel 1, the HDR photography is accelerated by 5x and the power efficiency increased by 10x. SPU: Stream Processing Unit (SPU) is related to the specialized hardware to process the data streams of video.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Percona

NOVEMBER 2, 2023

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. You should also review your hardware resources, how you use MongoDB, and any custom configurations.

Best Practices 111

Best Practices Hardware Tuning Scalability 111

The Morning Paper

DECEMBER 1, 2019

Efficient lock-free durable sets Zuriel et al., State-of-the-art constructions of durable lock-free sets, denoted Log-Free Data Structures, were recently presented by David et al., In this paper, we present a new idea with two algorithms for durable lock-free sets, which reduce the number of flushes substantially. .”

Efficiency 60

Efficiency Cache C++ Performance 60

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 132

Availability Database Open Source Hardware 132

All Things Distributed

JANUARY 18, 2012

Each service encapsulates its own data and presents a hardened API for others to use. A database service that only presents a table interface with a restricted query set is a very important building block for many developers. Additional request capacity is priced at cost-efficiently hourly rates as low as $.01 Consistency.

Scalability 162

Scalability Database Ecommerce Latency 162

Alex Russell

APRIL 29, 2021

Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. These TransformStream types help applications efficiently deal with large amounts of binary data. is access to hardware devices. Form-associated Web Components. CSS Custom Paint.

Media 145

Media Games Education Engineering 145

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) It requires both a disaggregated memory solution for independent scaling, and an efficient mechanism to share that disaggregated memory across multiple tenants.

Storage 112

Storage Engineering Cache Serverless 112

Scalegrid

JANUARY 21, 2025

This ensures each Redis instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every commands function and how to decipher its output. Its equally important to put preventative measures in place.

Strategy 130

Strategy Monitoring Latency DevOps 130

SQL Performance

JANUARY 23, 2020

The approach was influential in the design of the SQL Sentry performance dashboard, which presents waits flanked by queues (key resource metrics) to deliver a comprehensive view of server performance. Since CPU and IO consumption translate directly to server hardware and cloud spend, this is significant. Most Queries Don't Wait.

Tuning 115

Tuning Servers Monitoring Hardware 115

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 111

Open Source Database Hardware Strategy 111

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Google goes a step further in offering compute instances with its specialized TPU hardware.

Hardware 116

Hardware Storage Big Data Blockchain 116

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. The second work presented a novel scalable distributed capability mechanism for security and protection in such systems.

Architecture 12

Architecture Hardware Cache Storage 12

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Over-provisioned instances may lead to unnecessary infrastructure costs.

Cloud 133

Cloud Serverless AWS Storage 133

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output. It’s equally important to put preventative measures in place.

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

AUGUST 15, 2021

Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. Gain awareness of which features are or aren’t working. Many businesses already have a technology roadmap.

Technology 144

Technology Technology Development Strategy 144

Dotcom-Montior

NOVEMBER 24, 2021

A three-tier system is a software application architecture that consists of a presentation layer, application layer, and data, or core, layer. Software and hardware components are autonomous and execute tasks concurrently. Blockchain is a good example of this. There is no single server or machine that takes care of the workload.

Systems 74

Systems Monitoring Hardware Network 74

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. Industrial machinery is instrumented and Internet connected to stream data into the cloud to gain usage insights, improve efficiencies and prevent outages. Cloud enables self-service analytics.

Analytics 109

Analytics Cloud Healthcare Retail 109

Testsigma

APRIL 13, 2021

During compatibility testing of an application, we check the compatibility of the application with multiple devices, hardware, software versions, network, operating systems, and browsers, etc. During backward compatibility testing we will ensure that the latest application version is compatible with the older devices/ browsers/ hardware.

Testing 84

Testing Hardware Mobile Testing Tools 84

SQL Performance

MARCH 17, 2020

I will be looking for distinct values in the BountyAmount column of the dbo.Votes table, presented in bounty amount order ascending. The MAXDOP 1 query now uses a Stream Aggregate because the optimizer can use the nonclustered index to present rows in BountyAmount order: Serial Nonclustered Row Mode Plan.

Servers 86

Servers Tuning Database Efficiency 86

The Morning Paper

JUNE 13, 2019

HotOS’19 is presenting me with something of a problem as there are so many interesting looking papers in the proceedings this year it’s going to be hard to cover them all! Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs. HotOS’19.

Hardware 58

Hardware Latency Serverless Energy 58

Sutter's Mill

FEBRUARY 13, 2017

” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. I’ll pick which one (or more) of those topics to present sometime in March. Description.

Latency 48

Latency C++ Hardware Performance 48

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

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache Architecture 52

SQL Performance

DECEMBER 27, 2019

billion rows, presented on 143 million pages, and occupying ~1.14TB. Of course we can always throw more disk at a table, but I wanted to see if we could scale this more efficiently than the current linear trend. mdf' ) TO FILEGROUP FG_CCI_PARTITIONED ; On this particular hardware (YMMV!), At the time it had 3.75

Database 70

Database Storage Hardware Efficiency 70

O'Reilly Software

APRIL 4, 2018

Fast forward to the present day and we find ourselves in a world where the number of connected devices is constantly increasing. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible.

Architecture 80

Architecture Scalability Google Operating System 80