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 105

Availability Database Open Source Hardware 105

Percona

JULY 7, 2023

Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

Availability 81

Availability Open Source Architecture Database 81

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. Traditional pointers address a memory location (often virtual of course). At least, the nature of pointers that we want to make persistent.

Hardware 56

Hardware Programming Media Storage 56

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. There are limitations to this model of course. It can’t handle loops for example (an analysis of 4.6M

Processing 72

Processing Hardware Database Azure 72

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. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. They now allow users to interact more with the company in the form of online forms, shopping carts, Content Management Systems (CMS), online courses, etc. Hardware resources. Hardware Resources. The list goes on and on.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. At hardware reset the boot code is granted maximally permissive architectural capabilities.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Percona

AUGUST 29, 2023

Among its many capabilities, a Citus cluster can: Create distributed tables that are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage, and I/O capacity. Columnar storage of tables can compress data, speeding up scans and supporting fast projections, both on regular and distributed tables.

C++ 77

C++ Database Storage Testing 77

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. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52

Tuning Efficiency Database Performance 52

Percona

DECEMBER 14, 2022

The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements. The complete CITUS feature set which, except for the Columnar storage component, is not covered in this blog, includes: Distributed tables. Columnar storage. Of course, there’s always more that can be said.

Database 92

Database Analytics Storage Processing 92

SQL Performance

DECEMBER 27, 2019

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. 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.

Database 70

Database Storage Hardware Efficiency 70

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. Of course analog signalling comes with a whole bunch of challenges of its own, which is one of the reasons we tend to convert to digital. One such possible representation is pure analog signalling.

Energy 52

Energy Hardware Efficiency Architecture 52

The Morning Paper

JANUARY 30, 2020

These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). This could of course be a local worker on the mobile device. The location selection algorithm is run periodically to see if better options are now available.

Mobile 104

Mobile Cloud Latency Games 104

CSS Wizardry

APRIL 2, 2018

If you want to listen to the track—of course you do, it’s stunning—then you’ll have to make do with the YouTube version. If I go down this path, I’ll need to start considering many other things such as storage, backups, compatible media players, and maybe even dedicated hardware. Technics OTTAVA™ f SC-C70 – £799.

Website 108

Website Media Hardware Monitoring 108

Testsigma

FEBRUARY 13, 2021

Acknowledging the benefits, businesses across the globe are shifting to cloud-based automation testing to streamline their operations but of course, it comes with more benefits. It’s cost-effective and offers a flexible testing environment. Photo Credit: [link]. 6 Signs You Need To Invest In A Cloud-Based Test Automation Tool.

Cloud 52

Cloud Testing Testing Tools Small Business 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. Fast forward a decade, and both the software and hardware situations have changed dramatically. Don't like the consequences?

Hardware 64

Hardware Mobile Java Programming 64

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. Not as much as we'd like, of course, but the worldwide baseline has changed enormously. Hardware Past As Performance Prologue. There are differences, of course, but not where it counts.

Performance 124

Performance Network Cache Metrics 124

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

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . Europe is a continent with much diversity and for each country there are great AWS customer examples to tell.

Cloud 130

Cloud Energy AWS Healthcare 130

The Morning Paper

MARCH 3, 2020

It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. And, of course, it is designed to minimise the blast radius of any failures that do occur. Physalia in the large.

Database 106

Database AWS Network Design 106

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. is access to hardware devices. This allows customisation and use of specialised features without custom, proprietary software for niche hardware. Some commenters appear to confuse unlike hardware for differences in software. Where Chrome Has Lagged.

Media 145

Media Games Education Engineering 145

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

All Things Distributed

APRIL 5, 2012

Of course, with as much textual data as we have we are leveraging Lucene/SOLR (a NoSQL solution) for Search and Semantic processing. Why did you choose a SQL approach to build your social community app? Troy: The initial architecture was based on MySQL– weve continued with use of SQL but are now leveraging RDS.

Innovation 149

Innovation AWS Education Network 149

Smashing Magazine

JANUARY 15, 2019

how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. These include data transfer (i.e.

Website Performance 73

Website Performance Website Energy Performance 73

Alex Russell

OCTOBER 22, 2017

This, in turn, drives the single most important trend in setting the global web performance budget hardware baseline: the next billion users will largely come online when they can afford to. Time required to read bytes from disk (it’s not zero, even on flash-based storage!). Time to execute and run our code.

Performance 68

Performance Benchmarking Network Mobile 68

Smashing Magazine

JANUARY 6, 2020

This might be very different for your company, of course, but that’s a close enough approximation of a majority of customers out there. 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). Both of them are great introductions for diving into Webpack.

Performance 145

Performance Cache Network 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). Of course, your data might show that your customers are not on these devices, but perhaps they simply don’t show up in your analytics because your service is inaccessible to them due to slow performance.

Performance 103

Performance Cache Metrics Network 103

The Morning Paper

JANUARY 19, 2020

Humans can of course work in teams, with a structure resembling that of the system itself , so I’m not saying everything must fit in a single mind, but each of the pieces that need to be understood as a whole do need to. But do A and C share the same storage, compute, or network resources for example? Go overdrawn (i.e.,

C++ 50

C++ Systems Software Software 50

Smashing Magazine

JANUARY 11, 2021

This might be very different for your company, of course, but that’s a close enough approximation of a majority of customers out there. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later).

Performance 145

Performance Cache Media Metrics 145

High Scalability

OCTOBER 24, 2022

Each cloud-native evolution is about using the hardware more efficiently. Of course not, but let's ignore that very few organizations in the world have the technological know-how to create such managed services, especially without low level control of the entire system. That's easy to do, right? So why bother innovating?

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Alex Russell

JULY 14, 2021

Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. Hardware access APIs, notably: Geolocation. Fixing mobile won't be sufficient to unwind desktop's increasingly negative dark patterns, of course.

Google 121

Google Mobile Engineering Internet 121

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Network partitions of course can lead to violation of this guarantee. (G, In this article, we, of course, consider only a couple of applied techniques. Data Placement. Davies, and T. Lakshman, P.Malik.

Database 213

Database Latency C++ Scalability 213

Brendan Gregg

SEPTEMBER 5, 2017

Linux has been adding tracing technologies over the years: kprobes (kernel dynamic tracing), uprobes (user-level dynamic tracing), tracepoints (static tracing), and perf_events (profiling and hardware counters). Appliance manufacturers hire kernel engineers to develop custom features, including storage appliances.

Virtualization 76

Virtualization AWS Engineering Hardware 76

All Things Distributed

DECEMBER 12, 2018

We help Supercell to quickly develop, deploy, and scale their games to cope with varying numbers of gamers accessing the system throughout the course of the day. If the solution works as envisioned, Telenor Connexion can easily deploy it to production and scale as needed without an investment in hardware.

AWS 124

AWS Cloud Games Serverless 124