Percona

OCTOBER 18, 2023

You can tailor the database to meet your precise requirements by modifying the source code, adding extensions, or customizing configurations. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. And finally… budgets.

Open Source 90

Open Source Database Hardware Strategy 90

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 106

Availability Database Open Source Hardware 106

Percona

JULY 7, 2023

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

Availability 83

Availability Open Source Architecture Database 83

Scalegrid

JULY 13, 2020

You can compare all of their license costs in their Oracle Technology Global Price List. Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. pg_repack – reorganizes tables online to reclaim storage. PostgreSQL Community.

Open Source 244

Open Source Tuning C++ Database 244

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. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database.

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. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database.

Cache 52

Cache Storage Servers Database 52

Dotcom-Montior

MAY 12, 2020

Website and web application technologies have grown tremendously over the years. Websites are now more than just the storage and retrieval of information to present content to users. Monitoring of page load time, page length, response time, and request code can also be observed with the traditional HTTP monitoring.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. QuickSight is built on large number of innovative technologies to get a business user their first insights fast.

Cloud 137

Cloud Big Data AWS Analytics 137

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

The Morning Paper

FEBRUARY 18, 2020

The authors of the paper have "extensive experience of using ML technologies in production settings" between them. Models themselves must be subject to scrutiny with their storage and querying/scoring secured and auditable. EGML requirements. The key insight this led to is that ML models are software , derived from data.

Government 95

Government Software Engineering Storage Database 95

All Things Distributed

OCTOBER 8, 2014

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. More than a decade ago, Amazon embarked on a mission to build a distributed system that challenged conventional methods of data storage and querying.

Availability 145

Availability Performance Scalability AWS 145

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Before all was said and done, all of these people and more helped with various activities: · Eugene, Mike, Slava, Scott, Peter, Steve and others doing code reviews on my SQL Server and Host Extension changes. ·

Servers 90

Servers Media Cache Storage 90

Adrian Cockcroft

JUNE 21, 2022

I also learned a lot about how to work directly with customers, when to shut up and let the sales guy drive the conversation, and generally how technology sales works. I still code in R… One role I had for many years was to lead technical training events for the global specialist systems engineers, which we called the Ambassador Program.

Tuning 52

Tuning Benchmarking Engineering C++ 52

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

All Things Distributed

MAY 8, 2012

Using the AWS Toolkit for Visual Studio , you can now deploy your.NET applications to AWS Elastic Beanstalk directly from your Visual Studio environment without changing any code. of administrative tasks such as OS and database software patching, storage management, and implementing reliable backup and disaster recovery solutions.

Cloud 115

Cloud Development AWS Servers 115

ACM Sigarch

AUGUST 20, 2018

This interoperability has been a driver of the widespread adoption of information technology platforms. Looking at current hardware and software security research, however, we are seeing a number of technologies that are being developed that limit this type of broad interoperability.

Hardware 47

Hardware Operating System Architecture Software 47

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. 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.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

AUGUST 5, 2019

There is no code or configuration change necessary to capture data and detect existing services. It covers these key areas: Technology & Dependency Analysis. Step 1: Get to Know your Technology & Service Stack. Which technologies are candidates to be moved? For which technologies do we have alternative offerings?

Cloud 31

Cloud Traffic Database Network 31

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

Brendan Gregg

SEPTEMBER 5, 2017

It uses a Solaris Porting Layer (SPL) to provide a Solaris-kernel interface on Linux, so that unmodified ZFS code can execute. There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). LTS (April 2016).

Virtualization 76

Virtualization AWS Engineering Hardware 76

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

Alex Russell

OCTOBER 22, 2017

Most partners we work with are not aware of the real-world operating environment and make inappropriate technology choices as a result. Therefore, while a 150KB image won’t appreciably increase TTI, 150KB of JS will delay interactivity by the time required to: Request the code, including DNS, TCP, HTTP, and decompression overhead.

Performance 68

Performance Benchmarking Network Mobile 68

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. Write CSS Like Your Grandmother.

Website Performance 73

Website Performance Website Energy Performance 73

Smashing Magazine

JANUARY 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? The first render tends to warm up a bunch of lazily compiled code, which a larger tree can benefit from when it scales.

Performance 104

Performance Cache Network Metrics 104

Alex Russell

JULY 14, 2021

Understanding how mobile OSes undermine browser choice requires a nuanced understanding of OS and browser technology. The power dynamics of these situations are starkly different, even though "web technology" is used to render content in each case. Hardware access APIs, notably: Geolocation. How bad is the situation?

Google 121

Google Mobile Engineering Internet 121

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. In addition, we survey the current and emerging technologies and provide a few implementation tips. All these topics will be discussed in the later sections of the article. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. It is also not desirable to modify the code in order to implement it at the query level, given the possible impact of doing that in cost and time.

Tuning 44

Tuning Virtualization Testing Servers 44