Analytics, Cache, Example and Storage - Technology Performance Pulse

What is a Distributed Storage System

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage

Storage Systems Big Data Azure

MySQL Data Caching Efficiency

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. How do you know if your MySQL database caching is operating efficiently?

Cache

Cache Efficiency Database Monitoring

Designing Instagram

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design

Design Media Storage Logistics

Best practices and key metrics for improving mobile app performance

Dynatrace

DECEMBER 13, 2023

From the customer perspective, mobile devices have become the singular touchpoint between businesses and users, for example, the new storefront, office, and customer support line. This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes.

Best Practices

Best Practices Mobile Metrics Performance

Redis® Monitoring Strategies for 2024

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy

Strategy Monitoring Latency DevOps

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics

Analytics Airlines Cache Scalability

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics

Analytics Airlines Cache Scalability

What is session replay? Discover user pain points with session recordings

Dynatrace

DECEMBER 20, 2021

For example, the <body> element of your page exists on one branch of this tree structure, with any <img> assets branching off. Consider the example of “rage clicks,” which are rapid clicks (or taps) on the same spot when a feature is unresponsive. Improved analytic context. In others, patterns emerge.

Mobile

Mobile Website Analytics Cache

Implementing AWS well-architected pillars with automated workflows

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS

AWS Efficiency Azure Cloud

MySQL Key Performance Indicators (KPI) With PMM

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

Performance

Performance Monitoring Traffic Database

Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring

Monitoring Scalability Cache Database

Debugging Interaction to Next Paint (INP)

Speed Curve

FEBRUARY 25, 2024

In this post I'm going to walk through: How I help people identify the causes of poor INP times Examples of some of the most common issues Approaches I've used to help sites improve their INP Identifying Interactions The Chrome UX Report (CrUX) can provide a high-level view of INP. Opening a guest profile in Chrome 2.

Analytics

Analytics Processing Google Mobile

AppFabric Caching: Retry Later

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. During load-balancing, the client gets the following exception when accessing the cache: ErrorCode<ERRCA0017>:SubStatus<ES0006>:There is a temporary failure. Please retry later.

Cache

Cache Servers Network Design

HammerDB for Managers

HammerDB

JUNE 27, 2022

The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

Benchmarking

Benchmarking Open Source C++ Cache

Are Imposter Domains Re-Publishing Your Website?

Smashing Magazine

SEPTEMBER 20, 2021

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. 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.

Website

Website Analytics Google Cache

The Amazing Evolution of In-Memory Computing

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce

Ecommerce Cache Scalability IoT

The Amazing Evolution of In-Memory Computing

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce

Ecommerce Cache Scalability IoT

The Importance of Selecting the Proper Azure VM Size

SQL Performance

NOVEMBER 18, 2019

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. Storage optimized – High disk throughput and IO. Premium storage support.

Azure

Azure Benchmarking Storage Virtualization

Front-End Performance Checklist 2021

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

Performance Cache Media Metrics

SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

DECEMBER 18, 2018

For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.” – [link]. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Any storage device that can survive a power outage.

Servers

Servers Media Cache Storage

How We Improved Our Core Web Vitals (Case Study)

Smashing Magazine

MAY 17, 2021

Taking an average , for example, would hide a lot of bad experiences people have. Lighthouse also caught a cache misconfiguration that prevented some of our static assets from being served from our CDN. We are hosted on Google Cloud Platform, and the Google Cloud CDN requires that the Cache-Control header contains “public”.

Google

Google Analytics Serverless Metrics

The Future in Visual Computing: Research Challenges

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. One such example is activity recognition in motion video (such as LRCN , Convnets ) which may entail running combinations of both convolutional as well as recurrent neural networks simultaneously. Quality vs Bandwidth.

Wireless

Wireless IoT Analytics Architecture

MariaDB vs MySQL: Key Differences and Use Cases

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. as an example. Stock MySQL has provided several storage engines beyond just InnoDB (the default) and MyISAM.

Open Source

Open Source Servers Storage Scalability

HCI Performance testing made easy (Part 3)

n0derunner

SEPTEMBER 17, 2018

As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement. It is the shared storage that often causes performance issues for data bases which are otherwise separated across nodes. The idea here is to simulate the two main storage workloads of a DB.

Performance Testing

Performance Testing Benchmarking Testing Performance

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch

Smashing Magazine

NOVEMBER 2, 2021

Below is an example of the Netatmo PWA. 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. Check out how the “Add to Home Screen” feature works on the example below taken on the Apivita Magento PWA. You need a site for that. Large preview ).

Code

Code Cache Retail Mobile

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

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

Performance Cache Network Metrics

How Improving Website Performance Can Help Save The Planet

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. In this screenshot below, for example, we can see that loading the Smashing Magazine website for the first time incurs just under a megabyte of data transfer. For example, what actually deserves or needs to be on a homepage?

Website Performance

Website Performance Website Energy Performance

No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it. At werner.ly Syndication.

Servers

Servers Social Media AWS Website

Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. One way or another, rather than focusing on full page loading time (via onLoad and DOMContentLoaded timings, for example), prioritize page loading as perceived by your customers. We could also go beyond the bundle size budget though.

Performance

Performance Cache Metrics Network

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

All Things Distributed

DECEMBER 5, 2010

A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. There are two main types of DNS servers: authoritative servers and caching resolvers. Driving Storage Costs Down for AWS Customers. At werner.ly

Cloud

Cloud Internet Internet AWS

The Performance Inequality Gap, 2021

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. The Moto G4 , for example. The fastest Androids predictably remain 18-24 months behind, owing to cheapskate choices about cache sizing by Qualcomm, Samsung Semi, and all the rest.

Performance

Performance Network Cache Metrics

How to Easily Deploy an IMDG in the Cloud

ScaleOut Software

AUGUST 19, 2014

For example, consider a web server farm handling requests for web users or mobile apps. For example, when external requests from a web user are directed to different web servers, the user’s state has to be tracked independent of which server is handling the request. The Need to Keep It Simple.

Cloud

Cloud Azure Virtualization Scalability

How to Easily Deploy an IMDG in the Cloud

ScaleOut Software

AUGUST 19, 2014

For example, consider a web server farm handling requests for web users or mobile apps. For example, when external requests from a web user are directed to different web servers, the user’s state has to be tracked independent of which server is handling the request. The Need to Keep It Simple.

Cloud

Cloud Azure Virtualization Scalability

Using Parallel Query with Amazon Aurora for MySQL

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. The second and third run used the cached data. This query is 100% cached.

Cache

Cache C++ AWS Airlines

In-Stream Big Data Processing

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Consider an example where the data is grouped by a string key and sum of the numerical values is computed in each group: In this example, computation consists of two steps: local aggregation and global aggregation.

Big Data

Big Data Processing Lambda Database

Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. It is also responsible for asset discovery, validation, sharing, and for triggering workflows.

Strategy

Strategy Cache Analytics Storage

Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Building upon Redis. Many of our customers share my excitement: Interactive Intelligence, Inc.

Scalability

Scalability Analytics Cache AWS

The Amazon.com 2010 Shareholder Letter Focusses on Technology.

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. It is deeply integrated into everything we do.

Technology

Technology Technology AWS Storage

A one size fits all database doesn't fit anyone

All Things Distributed

JUNE 21, 2018

Airbnb is a great example of a customer building high-performance and scalable applications with Amazon Aurora. This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. Take Expedia, for example.

Database

Database AWS Games Latency

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems

Systems Cache Website Network

5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Databricks Delta is a perfect example of this class. Overall, less complexity to deal with. Common in-memory data interfaces.

Big Data

Big Data Artificial Intelligence Storage Hardware

Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

JANUARY 18, 2012

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. s pricing is simple and predictable: Storage is $1 per GB per month. The growth of Amazonâ??s Domain scaling limitations. Amazon DynamoDBâ??s

Scalability

Scalability Database Ecommerce Latency

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

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

Architecture Cache Azure Storage

What is a Distributed Storage System

MySQL Data Caching Efficiency

Trending Sources

Designing Instagram

Best practices and key metrics for improving mobile app performance

Redis® Monitoring Strategies for 2024

The Power of Integrated Analytics Within an IMDG

The Power of Integrated Analytics Within an IMDG

What is session replay? Discover user pain points with session recordings

Implementing AWS well-architected pillars with automated workflows

MySQL Key Performance Indicators (KPI) With PMM

Percona Monitoring and Management 2 Scaling and Capacity Planning

Debugging Interaction to Next Paint (INP)

AppFabric Caching: Retry Later

HammerDB for Managers

Are Imposter Domains Re-Publishing Your Website?

The Amazing Evolution of In-Memory Computing

The Amazing Evolution of In-Memory Computing

The Importance of Selecting the Proper Azure VM Size

Front-End Performance Checklist 2021

SQL Server On Linux: Forced Unit Access (Fua) Internals

How We Improved Our Core Web Vitals (Case Study)

The Future in Visual Computing: Research Challenges

MariaDB vs MySQL: Key Differences and Use Cases

HCI Performance testing made easy (Part 3)

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

How Improving Website Performance Can Help Save The Planet

No Server Required - Jekyll & Amazon S3 - All Things Distributed

Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

The Performance Inequality Gap, 2021

How to Easily Deploy an IMDG in the Cloud

How to Easily Deploy an IMDG in the Cloud

Using Parallel Query with Amazon Aurora for MySQL

In-Stream Big Data Processing

Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

Accelerating Data: Faster and More Scalable ElastiCache for Redis

The Amazon.com 2010 Shareholder Letter Focusses on Technology.

A one size fits all database doesn't fit anyone

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

5 data integration trends that will define the future of ETL in 2018

Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

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