DZone

DECEMBER 14, 2021

Metadata synchronization (sync) is a core feature in Alluxio that keeps files and directories consistent with their source of truth in under-storage systems, thus making it simple for users to reason the data retrieved from Alluxio. This article describes the design and the implementation in Alluxio to keep metadata synchronized.

Design 244

Design Storage Tuning Systems 244

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

MARCH 14, 2024

This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges. Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special.

Database 130

Database Cloud Hardware Storage 130

DZone

AUGUST 22, 2019

Alluxio is an open-source data orchestration system for analytics and AI workloads. We refer to external storage such as HDFS or S3 as under storage. Alluxio is a new layer on top of under storage systems that can not only improve raw I/O performance but also enables applications flexible options to read, write and manage files.

Storage 100

Storage Open Source Analytics Systems 100

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. Then the KV DAL handles writing to the appropriate underlying storage engines depending on latency, availability, cost, and durability requirements.

Latency 243

Latency Storage Big Data Tuning 243

Scalegrid

JULY 17, 2020

What’s in this article? If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. JSONB storage results in a larger storage footprint. Why Store JSON in PostgreSQL?

Storage 321

Storage Database Efficiency Processing 321

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Speed Curve

FEBRUARY 25, 2024

Guest profiles also start with empty caches, empty cookie stores, empty browser storage, etc. These may get populated during testing, but we can clear them at any time via Application > Storage > Clear Site Data in DevTools. Opening a guest profile in Chrome 2. While that is one place to start, it's not the only approach.

Analytics 91

Analytics Processing Google Mobile 91

Percona

JULY 17, 2023

First, some stage-setting for this blog article. It’s a good setup for real-time analytics and high-speed logging. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM. Also, Redis is designed primarily for key-value storage and lacks advanced querying capabilities.

Open Source 76

Open Source Database Scalability Software 76

Official Blog - World Web Technology

NOVEMBER 27, 2023

This article will help small business owners pick a website development company for their site. The package includes SEO, social networking, sharing, and analytics tools. monthly and allows you to host a single website with 50GB of storage space. This article will help you find an expert to boost your business online.

Website 59

Website Development Mobile Storage 59

Tech News Gather

OCTOBER 7, 2023

This article sheds light on the often-underestimated capabilities of phone call tracking apps and why they deserve your undivided attention. By optimizing your marketing and customer service based on call data, you can outperform competitors who rely solely on digital analytics.

Strategy 52

Strategy Big Data Scalability Games 52

Smashing Magazine

SEPTEMBER 20, 2021

We explore how you can use web analytics or real user measurement data on your website to get insight into any imposter domains re-publishing your work. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services. Turning The Data Into Information.

Website 89

Website Analytics Google Cache 89

Smashing Magazine

MAY 17, 2021

Through the use of BundlePhobia and Lighthouse, we found that third-party error logging and analytics software contributed significantly to our bundle size and load time. This article provides an excellent explanation of how the CLS score is calculated and the reasoning behind it. Large preview ).

Google 93

Google Analytics Serverless Metrics 93

Smashing Magazine

JANUARY 15, 2019

An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. But we can also draw on a wealth of existing ideas, conference talks and articles which — while not having an explicit focus on sustainability — have a huge overlap with the philosophy of sustainable web design.

Website Performance 73

Website Performance Website Energy Performance 73

Scalegrid

OCTOBER 7, 2019

PostgreSQL VACUUM is a technique to remove tuples that have been deleted or are now obsolete from their table to reclaim storage occupied by those dead tuples, also known as Bloat. #Java #Python #C Click To Tweet. Most Popular PostgreSQL VACUUM Strategies. While highly recommended, 33.3% autovacuum can cause out of memory errors.

Strategy 182

Strategy Cloud Java Open Source 182

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries.

Database 40

Database Analytics Blockchain Healthcare 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

SQL Server According to Bob

DECEMBER 18, 2018

Durability is a cornerstone of any database system and starting with SQL Server 2017 on Linux Cumulative Update 6 (CU6), SQL Server on Linux enables “Forced Flush” behavior as described in this article , improving durability on non-Fua optimized systems. “Be Patrick and Purvi doing performance and regression analytics. Description.

Servers 90

Servers Media Cache Storage 90

Speed Curve

DECEMBER 11, 2019

When it comes to real user monitoring (RUM), I’m convinced that the marginal cost of collection, computation, storage, etc. I hope this is helpful and encourage you to check out some of these support articles below or reach out if you have questions. Otherwise, I highly encourage you to get started with a free trial of LUX today!

Retail 59

Retail Traffic Media Metrics 59

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

Percona

JULY 15, 2023

In this article, I will first explain an overview of indexes in MySQL and cover the MySQL CREATE INDEX before diving into showing what functional indexes are and how they work. How do indexes affect database storage and resource usage in MySQL 8.0? An index on that column can not be used. How Do MySQL 8.0 Functional Indexes Work?

Virtualization 77

Virtualization Speed Database Efficiency 77

All Things Distributed

NOVEMBER 19, 2010

In an in-depth article on Streaming Media Dan Rayburn analyzed the impact of Amazon Cloudfront move to GA: Amazons CDN Gets More Competitive, Adds SLA, New Edge Locations, Lower Pricing. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures.

AWS 67

AWS Cloud Benchmarking Storage 67

The Morning Paper

OCTOBER 22, 2019

About half (18) used programming as their primary means of exploring data, and the remainder used visual analytics tools or a mix of tools and programming. are tied for most commonly used data storage and manipulation solutions. There were 30 participants in the study, each with at least four years of analysis experience.

Programming 40

Programming Software Engineering Database Analytics 40

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

SQL Performance

APRIL 17, 2020

Other extended events useful for tracking ALTER COLUMN operations include metadata_ddl_alter_column and alter_column_event , both in the Analytic channel. When compressed, fixed-length string columns do not store trailing blanks, making them just as efficient as variable-length string columns from a storage point of view.

Servers 63

Servers Database Testing Efficiency 63

Smashing Magazine

NOVEMBER 2, 2021

On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. Will they use it often afterward or delete it if they wish to free up device storage space? Such shortcuts look like any other native app icon, but their weight is unnoticeable to a user.

Code 74

Code Cache Retail Mobile 74

SQL Performance

APRIL 23, 2019

This article covers additional factors that affect aggregate pushdown for GROUP BY queries only. Columnstore storage. To understand this, it is necessary to first review how columnstore storage works at a high level: A compressed row group contains a column segment for each column.

Servers 67

Servers Testing Metrics Storage 67

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. 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 104

Performance Cache Network Metrics 104

Percona

JANUARY 17, 2019

now has a version which will support parallelism for SELECT queries (utilizing the read capacity of storage nodes underneath the Aurora cluster). In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. AWS Aurora (based on MySQL 5.6) running on an EC2 instance of the same class.

Cache 46

Cache C++ AWS Airlines 46

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. CrUX data collection and first-party RUM analytics of these metrics require live traffic, meaning results can be predicted but only verified once deployed. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

All Things Distributed

FEBRUARY 24, 2010

I laid out some of these challenges in an article explaining the concept of eventual consistency. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. But replication in itself brings a whole set of challenges that need to be addressed.

AWS 69

AWS Latency Database Scalability 69