Adrian Cockcroft

JANUARY 27, 2025

We had some fun getting hardware figured out, and I used a 3D printer to make some cases, but the whole project was interrupted by the delivery of the iPhone by Apple in late 2007. I wonder if any of my code is still present in todays Netflixapps?) I use mine most days to watch videos.

C++ 88

C++ Mobile Hardware Java 88

VoltDB

DECEMBER 11, 2024

Use hardware-based encryption and ensure regular over-the-air updates to maintain device security. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Key issues include: Limited storage capacity on edge devices.

IoT 52

IoT Energy Logistics Latency 52

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 246

Monitoring Programming Serverless Speed 246

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 246

Monitoring Programming Serverless Speed 246

Percona

MARCH 28, 2023

” This acts as a step to ensure durability by recovering lost data from the same journal files in case of crashes, power, and hardware failures between the checkpoints (see below) Here’s what the process looks like. Journal, on the one hand, is an append-only operation in a journal file, AKA transaction log file present on disk.

Hardware 111

Hardware C++ Storage Cache 111

DZone

JULY 19, 2023

Presented below is the journey of Enel, a multinational energy company and one of the world's leading integrated electricity and gas operators. This offered an enhanced ability to scale operations in line with the growing computational demands and data storage needs.

Virtualization 130

Virtualization Scalability Energy Cloud 130

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. By implementing data abstraction techniques, these challenges can be addressed more effectively.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

FEBRUARY 9, 2021

We need to be able to easily determine what imagery is present for a given platform, region, and language. This requires an asset storage solution. Asset Storage We refer to asset storage and management simply as asset management. The UI can then use these fields to control the presentation in the UI layer.

Engineering 168

Engineering Storage Latency Entertainment 168

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 121

Performance Latency Hardware Storage 121

All Things Distributed

JANUARY 18, 2012

Each service encapsulates its own data and presents a hardened API for others to use. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. The growth of Amazonâ??s Domain scaling limitations. SimpleDBâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

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. Amazon Elastic Block Store (EBS) is your good-to-go option for disk space.

Cloud 133

Cloud Serverless AWS Storage 133

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. Challenges of Multi-Cloud Although multi-cloud has its benefits, it also presents some obstacles. But what do these entail?

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? ” scenarios at industrial scale.

Hardware 116

Hardware Storage Big Data Blockchain 116

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

Percona

JANUARY 17, 2023

In terms of storage, internal pages are no different than the root page; they also store pointers to other internal pages. In this blog, I have deliberately chosen an index without any internal pages, so that readers may understand that internal pages may not necessarily be present in every B-tree index. Defective disk or RAM.

Database 138

Database Hardware Storage Performance 138

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

Scalegrid

JANUARY 21, 2025

Such as: RedisInsight Offers an easy way for users to oversee their Redis information with visual cues; Prometheus Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JUNE 14, 2024

Captivating Data Visualization Data visualization is a key aspect of Power BI, enabling users to present complex data in a visually compelling manner. By employing techniques like indexing, query optimization, denormalization, and proper hardware configuration in MySQL, data retrieval operations can be significantly improved.

Database 130

Database Azure Efficiency Servers 130

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Despite all its upside, PostgreSQL software presents such challenges. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution?

Availability 98

Availability Open Source Architecture Database 98

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 Strategy Hardware 111

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Helps developers present better, more contextual options and prompts, reducing user annoyance and "prompt spam" Screen Wakelock. Important for apps that present boarding passes and QR codes for scanning, as well as and presentation apps (e.g.

Media 145

Media Games Education Engineering 145

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge The “wal_level” is set at logical. Redundancy can potentially decrease overall performance.

Database 114

Database Benchmarking Latency C++ 114

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Hardware resources. Present-day applications make more much use of the database. Hardware Resources. Effective usage of hardware resources can help in capacity planning and provide a better end-user experience.

Monitoring 63

Monitoring Entertainment Hardware Traffic 63

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. A common area of application is in locations where video cameras are present such as malls and large retail stores. Cloud enables self-service analytics.

Analytics 108

Analytics Cloud Healthcare Retail 108

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

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 103

Performance Latency Cache Virtualization 103

SQL Performance

DECEMBER 27, 2019

billion rows, presented on 143 million pages, and occupying ~1.14TB. Note that I am not focusing on reporting workload or other read query performance at this time – I merely want to see what impact I can have on storage (and memory) footprint of this data. At the time it had 3.75 Sounds like a great job for compression, right?

Database 70

Database Storage Hardware Efficiency 70

The Morning Paper

DECEMBER 8, 2019

On the last morning of the conference Daniel Bittman presented some of the work being done in the context of the Twizzler OS project to explore new programming models for NVM. This is left as an exercise for the application developer at present. In particular, it’s goodbye to the POSIX interface. What about security?

Hardware 56

Hardware Programming Media Storage 56

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

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Hardware Past As Performance Prologue. This 2GiB RAM, Android 9 stalwart features the all-too classic lines of a Quad-core A53 (1.4GHz, small mercies) CPU, tastefully presented in a charming 5.5"

Performance 127

Performance Network Mobile Metrics 127

The Morning Paper

FEBRUARY 20, 2020

… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. Raven is the system that Microsoft built to explore this question, and answer it with a resounding yes. The last word.

Processing 72

Processing Hardware Database Servers 72

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

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

Scalegrid

JANUARY 25, 2024

It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality. Furthermore, the wise utilization of different types Redis offers, such as strings, lists, sets , and sorted sets , allows efficient storage management.

Metrics 130

Metrics Monitoring Latency Cache 130

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