Cache, Example, Processing 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

Cache-Control for Civilians

CSS Wizardry

MARCH 3, 2019

To this end, having a solid caching strategy can make all the difference for your visitors. ?? How is your knowledge of caching and Cache-Control headers? That being said, more and more often in my work I see lots of opportunities being left on the table through unconsidered or even completely overlooked caching practices.

Cache

Cache Latency Strategy Servers

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

There are two major processes which gets executed when a user posts a photo on Instagram. 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.

Design

Design Media Storage Logistics

Unlocking the Secrets of TOAST: How To Optimize Large Column Storage in PostgreSQL for Top Performance and Scalability

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. This process is done automatically and does not significantly impact how the database is used. text, bytea), and “strategy” is one of the four TOAST storage strategies (PLAIN, EXTENDED, EXTERNAL, MAIN).

Storage

Storage Scalability Strategy Performance

Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. 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. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache

Cache Storage Servers Database

Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. 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. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache

Cache Storage Servers Database

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. If the cache hit ratio is lower than ~0.8

Metrics

Metrics Monitoring Latency Cache

Key Advantages of DBMS for Efficient Data Management

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. It provides tools for organizing and retrieving data efficiently.

Efficiency

Efficiency Storage Database Scalability

Implementing AWS well-architected pillars with automated workflows

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS

AWS Efficiency Azure Cloud

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. Advanced monitoring techniques enable you to identify potential issues, such as high latency, CPU utilization, command throughput, and cache hit rate before they become major problems.

Strategy

Strategy Monitoring Latency DevOps

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. For example, are all user bounces caused by the same issue?

Mobile

Mobile Website Analytics Cache

Extending relational query processing with ML inference

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … 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. An INSERT INTO model.

Processing

Processing Hardware Database Azure

WiredTiger Logging and Checkpoint Mechanism

Percona

MARCH 28, 2023

Journal It’s a process where every write operation gets written (appended) from Memory to a Journal file, AKA transaction log that exists on disk at a specific interval configured using “ journalCommitIntervalMs.” The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. wt and index-*.wt).

Hardware

Hardware C++ Storage Cache

20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Percona

JULY 25, 2023

They are then applied (for example, writing old values back again) to the pages again and written to disk. After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Let’s take a look at the example table. CREATE TABLE test.t1(a

Cache

Cache Benchmarking Servers Design

Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. Jamstack files usually use Markdown before being compiled to HTML, for example: author: Agustinus Theodorus title: ‘Title’ description: Description. Active Memory Caching. Caching Schemes. Hello World.

Cache

Cache Performance Servers Social Media

In-Stream Big Data Processing

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance. Interoperability with Hadoop.

Big Data

Big Data Processing Lambda Database

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage

Storage Systems Hardware Efficiency

The Most Important MySQL Setting

Percona

APRIL 7, 2023

But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning

Tuning Cache Servers Benchmarking

A MyRocks Use Case

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. Long term stability.

Storage

Storage Cache C++ Virtualization

InnoDB Performance Optimization Basics

Percona

MARCH 23, 2023

As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Benchmark before you decide. Setting oom_score_adj to -800.

Performance

Performance Hardware Tuning Storage

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

Traffic Duplication and Correlation: The initial step requires the implementation of a mechanism to clone and fork production traffic to the newly established pathway, along with a process to record and correlate responses from the original and alternative routes. For example, if some fields in the responses are timestamps, those will differ.

Traffic

Traffic Latency Tuning Systems

Understanding Weak Reference In JavaScript

Smashing Magazine

MAY 25, 2022

When the JavaScript engine runs a garbage-collection process, the man object will be removed from memory and from the WeakMap that we assigned it to. The process of clearing memory when objects are no longer being used is referred to as garbage collection. As we’ve used an array in the example above, we can use map too.

Cache

Cache Programming Storage Code

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

Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

OCTOBER 15, 2019

caching (Memcached etc.), Another thread or process is constantly polling events from the log table and writes them to one or multiple datastores, optionally removing events from the log table after acknowledged by all datastores. providing advanced search capabilities (ElasticSearch etc.),

Transportation

Transportation Architecture Processing Storage

How to Assess MySQL Performance

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9

Performance

Performance Benchmarking Cache Storage

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. Inefficient query design, such as utilizing SELECT * instead of specifying necessary columns, can escalate data transfer and processing overhead. Avoid over-indexing, which can bloat storage and slow writes.

Tuning

Tuning Database Performance Hardware

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

OCTOBER 15, 2021

This information is gathered from remote, often inaccessible points within your ecosystem and processed by some sort of tool or equipment. The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams.

Open Source

Open Source Metrics Cloud Transportation

How To Optimize Progressive Web Apps: Going Beyond The Basics

Smashing Magazine

DECEMBER 23, 2020

You’ll also find example code or references to more specific guides so you can implement these tips to your PWA. The service workers enable the offline usage of the PWA by fetching cached data or informing the user about the absence of an Internet connection. Cached content with IndexedDB. A simple example is a messaging app.

Cache

Cache Internet Internet Google

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

PostgreSQL® Hostname Configuration

Scalegrid

NOVEMBER 23, 2023

Configure the PostgreSQL hostname by editing configuration files and restarting the server, with secure storage of connection details to enhance security. Practical Examples The hostname function can be extremely beneficial for PostgreSQL SQL queries, as it allows users to access a number of useful features.

Database

Database Servers Storage Network

How It Works (It Just Runs Faster): Non-Volatile Memory SQL Server Tail Of Log Caching on NVDIMM

SQL Server According to Bob

NOVEMBER 8, 2016

Note: We received feedback that there was some confusion on us calling this functionality “tail of the log caching” because our documentation and prior history has referred to the tail of the log as the portion of the hardened log that has not been backed up. Announcement and Syntax Example: [link]. . Tail Of Log Caching.

Cache

Cache Servers Media Storage

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

Django Highlights: Wrangling Static Assets And Media Files (Part 4)

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. Here’s a short example model of that information: from django.db

Media

Media Cache Storage AWS

MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

APRIL 17, 2023

For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache. 25.84 - Total 21.04 zone_reclaim_mode In some OS versions, the vm.zone_reclaim_mode is enabled. 25.84 - Total 21.04

Best Practices

Best Practices Design Tuning Database

Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache

Cache Latency Traffic Systems

HammerDB for Managers

HammerDB

JUNE 27, 2022

The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. An additional specification called TPC-CH for hybrid transactional/analytical processing (HTAP) is under research and development for inclusion in a future release as TPROC-CH.

Benchmarking

Benchmarking Open Source C++ Cache

Helios: hyperscale indexing for the cloud & edge – part 1

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. We push as much data processing as possible onto warehouse-scale computers and systems software. Industrial IoT use cases are an example here. Emphasis mine ).

Cloud

Cloud Big Data Latency Architecture

Fast key-value stores: an idea whose time has come and gone

The Morning Paper

JUNE 23, 2019

Factor VI in the 12-factor app manifesto , “Execute the app as one or more stateless processes,” to be dropped and replaced with “Execute the app as one or more stateful processes.” session state that you want to survive an application process crash), and to keep the application server/services layer stateless.

Cache

Cache Latency Google Lambda

Optimizing Web Performance: Understanding Waterfall Charts

Dotcom-Montior

MARCH 6, 2022

It assists in identifying where important events happened during the loading process. Waterfall charts within the Dotcom-Monitor platform can help users identify where important events happened during the page load process. Moreover, caching utility may decrease the waiting time. Queued request. What’s the Difference?

Performance

Performance Cache Website Speed

Amazon DynamoDB Accelerator (DAX): Speed Up DynamoDB Response Times from Milliseconds to Microseconds without Application Rewrite.

All Things Distributed

JUNE 21, 2017

Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX) , a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. DynamoDB was the first service at AWS to use SSD storage.

Speed

Speed Cache Latency AWS

Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

NOVEMBER 2, 2023

Given its unchanging nature, static content is ideal for caching. Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. But what if we could streamline this?With

Architecture

Architecture Performance Internet Internet

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

What is a Distributed Storage System

Cache-Control for Civilians

Trending Sources

MySQL Data Caching Efficiency

Designing Instagram

Unlocking the Secrets of TOAST: How To Optimize Large Column Storage in PostgreSQL for Top Performance and Scalability

Use Distributed Caching to Accelerate Online Web Sites

Use Distributed Caching to Accelerate Online Web Sites

Crucial Redis Monitoring Metrics You Must Watch

Key Advantages of DBMS for Efficient Data Management

Implementing AWS well-architected pillars with automated workflows

Redis® Monitoring Strategies for 2024

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

Extending relational query processing with ML inference

WiredTiger Logging and Checkpoint Mechanism

20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Five Data-Loading Patterns To Improve Frontend Performance

In-Stream Big Data Processing

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Most Important MySQL Setting

A MyRocks Use Case

InnoDB Performance Optimization Basics

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Understanding Weak Reference In JavaScript

MySQL Key Performance Indicators (KPI) With PMM

Delta: A Data Synchronization and Enrichment Platform

How to Assess MySQL Performance

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

How To Optimize Progressive Web Apps: Going Beyond The Basics

The Amazing Evolution of In-Memory Computing

The Amazing Evolution of In-Memory Computing

PostgreSQL® Hostname Configuration

How It Works (It Just Runs Faster): Non-Volatile Memory SQL Server Tail Of Log Caching on NVDIMM

Debugging Interaction to Next Paint (INP)

Django Highlights: Wrangling Static Assets And Media Files (Part 4)

MongoDB Best Practices: Security, Data Modeling, & Schema Design

Consistent caching mechanism in Titus Gateway

HammerDB for Managers

Helios: hyperscale indexing for the cloud & edge – part 1

Fast key-value stores: an idea whose time has come and gone

Optimizing Web Performance: Understanding Waterfall Charts

Amazon DynamoDB Accelerator (DAX): Speed Up DynamoDB Response Times from Milliseconds to Microseconds without Application Rewrite.

Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

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

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