Cache, Example, Storage and Systems - Technology Performance Pulse

Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage

Storage Cache Metrics Database

Designing Instagram

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. After that, the post gets added to the feed of all the followers in the columnar data storage. Fetching User Feed. Optimization.

Design

Design Media Storage Logistics

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.

Storage

Storage Systems Hardware Efficiency

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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics

Metrics Monitoring Latency Cache

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage

Storage Systems Big Data Azure

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

Key Advantages of DBMS for Efficient Data Management

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency

Efficiency Storage Database Scalability

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

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This technique facilitates validation on multiple fronts.

Traffic

Traffic Latency Tuning Systems

Implementing AWS well-architected pillars with automated workflows

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. 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

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

On design systems, UX, web performance and CSS/JS. Jamstack files usually use Markdown before being compiled to HTML, for example: author: Agustinus Theodorus title: ‘Title’ description: Description. Active Memory Caching. Caching partially stores your data and is not used as permanent storage. Caching Schemes.

Cache

Cache Performance Servers Social Media

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

Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period.

Monitoring

Monitoring Scalability Cache Database

How to Assess MySQL Performance

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. 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. Operating System: Ubuntu 22.04

Performance

Performance Benchmarking Cache Storage

Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

OCTOBER 15, 2019

caching (Memcached etc.), Another issue exists for the capture of schema changes, where some systems, like MySQL, don’t support transactional schema changes [1][2]. By their nature, they can only rely on the lowest common denominator of participating systems. providing advanced search capabilities (ElasticSearch etc.),

Transportation

Transportation Architecture Processing Storage

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

Percona

SEPTEMBER 1, 2023

Enhanced User Experience Whether you operate an e-commerce platform, a content management system, or any other application reliant on MySQL, users will notice and appreciate the improved speed and responsiveness. Resource contention emerges when multiple database operations vie for the same system resources simultaneously.

Tuning

Tuning Database Performance Hardware

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

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs are important because you’ll naturally want an event-based record of any notable anomalies across the system. Watch webinar now!

Open Source

Open Source Metrics Cloud Transportation

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. The host variable can be found within specified code strings dedicated to creating/modifying content present on that particular remotely located Postgresql platform system.

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

Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. 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.

Cache

Cache Latency Traffic Systems

The Amazing Evolution of In-Memory Computing

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce

Ecommerce Cache Scalability IoT

MariaDB vs MySQL: Key Differences and Use Cases

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source

Open Source Servers Storage Scalability

Towards multiverse databases

The Morning Paper

JUNE 16, 2019

We’ll get to that, but first let’s look at some examples of privacy policies and how they can be expressed. For example: An aggregation policy could be used to rewrite any matching aggregation into a differentially-private version. The challenging thing of course, is efficiently maintaining all of these parallel universes.

Database

Database Cache Benchmarking Efficiency

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

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. Search Engine And Web Archive Cached Results. The message that appears above a cached search result in Google’s search service.

Website

Website Analytics Google Cache

Local-first software: you own your data, in spite of the cloud

The Morning Paper

NOVEMBER 19, 2019

On the other hand we have good old-fashioned native apps that you install on your operating system (a dying breed? With a traditional OS app 2 you have much more control over the data (the files on your file system at least, which if you’re lucky might even be in an open format). Google Docs, Trello, …).

Cloud

Cloud Software Software Internet

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

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud

Cloud Internet Internet AWS

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

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Servers

Servers Social Media AWS Website

Driving Compute Cost Down for AWS Customers - All Things.

All Things Distributed

MARCH 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. For example, the popular m1.small Some of the other instance types have even greater savings: for example, the high memory M2 instances will see a 10% price cut for On Demand and 37% for Reserved instances. Driving Compute Cost Down for AWS Customers.

AWS

AWS Innovation Scalability Cache

Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud

Cloud Media Storage Cache

Redis® Monitoring Strategies for 2024

Scalegrid

DECEMBER 21, 2023

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy

Strategy Monitoring Latency DevOps

PostgreSQL Indexes Can Hurt You: Negative Effects and the Costs Involved

Percona

APRIL 24, 2023

The urge to create more and more indexes is found to be causing severe damage in many systems. Many times, removing indexes is what we should be doing first before considering any new indexes for the benefit of the entire system. This post is about PostgreSQL, but most of the problems also apply to other database systems.

Tuning

Tuning Cache Storage Database

COLD, WARM, HOT … CLEAN, DIRTY, FREE … What Does All This Mean?

SQL Server According to Bob

AUGUST 8, 2016

For example, when your teenager says something is “BAD” they really mean is it GOOD. Take a metal pole as an example. The more work on the system the more CPU is consumed. The less work on the system the COOLER the CPU. For example, SQL Server may employ a per NODE or per CPU based design. COLD, WARM, HOT.

Cache

Cache Energy Database Servers

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. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage

Storage Scalability Strategy Performance

Tuning Autovacuum in PostgreSQL and Autovacuum Internals

Percona

AUGUST 10, 2018

In fact, you should not set it to OFF in a production system unless you are 100% sure about what you are doing and its implications. sec < 2018-08-06 07:22:35.199 EDT > LOG: automatic analyze of table "vactest.scott.employee" system usage: CPU 0.00s/0.02u sec elapsed 0.15 For example, a value of 0.2

Tuning

Tuning Cache Database Storage

In-Stream Big Data Processing

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size.

Big Data

Big Data Processing Lambda Database

Service Workers and PWAs: It’s About Reliable Performance, Not “Offline”

Alex Russell

MAY 4, 2016

But doesn’t AppCache let you cache documents you might want offline? ” Yes, it does, but because of AppCache’s atomic update system and practical limits to storage space , this means that the set of URLs in this list needs to be low and change infrequently. Turns out this only works in trivial cases.

Performance

Performance Cache Google Network

Using anti-requirements to find system boundaries

Particular Software

MAY 22, 2023

Is this the best way to build a system, though? For example, you might need the data to be denormalized for performance, or the warehouse data might exist on a physically different system that can’t participate in a database join. From a technical perspective, attributes that change together should also be cached similarly.

Systems

Systems Cache Strategy Database

Dynatrace Kubernetes Observability for Persistent Volume Claims

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. You quickly realize that it will take ages to fill up the overprovisioned database storage.

Storage

Storage Database 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

Remote Workstations for the Discerning Artists

The Netflix TechBlog

MARCH 8, 2021

They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. Instead, we created a service to take the most popular configurations and cache them. We needed a system that could manage hundreds to one-day thousands of workstations. Artists need many components to be customized.

Entertainment

Entertainment Storage Hardware Open Source

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

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. 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]. The Back Story.

Servers

Servers Media Cache Storage

Improved Alerting with Atlas Streaming Eval

Designing Instagram

Trending Sources

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

Crucial Redis Monitoring Metrics You Must Watch

What is a Distributed Storage System

Best practices and key metrics for improving mobile app performance

Key Advantages of DBMS for Efficient Data Management

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

Implementing AWS well-architected pillars with automated workflows

MySQL Key Performance Indicators (KPI) With PMM

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

Five Data-Loading Patterns To Improve Frontend Performance

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

Percona Monitoring and Management 2 Scaling and Capacity Planning

How to Assess MySQL Performance

Delta: A Data Synchronization and Enrichment Platform

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

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

PostgreSQL® Hostname Configuration

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

Consistent caching mechanism in Titus Gateway

The Amazing Evolution of In-Memory Computing

The Amazing Evolution of In-Memory Computing

MariaDB vs MySQL: Key Differences and Use Cases

Towards multiverse databases

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

Are Imposter Domains Re-Publishing Your Website?

Local-first software: you own your data, in spite of the cloud

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

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

Driving Compute Cost Down for AWS Customers - All Things.

Netflix Cloud Packaging in the Terabyte Era

Redis® Monitoring Strategies for 2024

PostgreSQL Indexes Can Hurt You: Negative Effects and the Costs Involved

COLD, WARM, HOT … CLEAN, DIRTY, FREE … What Does All This Mean?

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

Tuning Autovacuum in PostgreSQL and Autovacuum Internals

In-Stream Big Data Processing

Service Workers and PWAs: It’s About Reliable Performance, Not “Offline”

Using anti-requirements to find system boundaries

Dynatrace Kubernetes Observability for Persistent Volume Claims

How Improving Website Performance Can Help Save The Planet

Remote Workstations for the Discerning Artists

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

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