High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. More in the following sub-section.)

Availability 109

Availability Database Open Source Hardware 109

Dynatrace

AUGUST 1, 2022

Kubernetes was initially designed with a strong focus on stateless workloads, meaning these workloads do not need to store any persistent data. 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).

Storage 187

Storage Database Network Tuning 187

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 130

Storage Systems Big Data Azure 130

Scalegrid

NOVEMBER 23, 2023

Imagine a world where your PostgreSQL® database connections are seamless and secure. Key Takeaways Understanding PostgreSQL hostname is essential for successful database connections. Understanding the PostgreSQL Hostname Hostname is a key factor for the effective management of PostgreSQL databases and providing secure access.

Database 130

Database Servers Storage Network 130

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. Spoiler alert: This post focuses on MongoDB 3.6.X

Best Practices 52

Best Practices Design Tuning Database 52

All Things Distributed

SEPTEMBER 3, 2013

Today, we added two important choices for customers running high performance apps in the cloud: support for Redis in Amazon ElastiCache and a new high memory database instance (db.cr1.8xlarge) for Amazon RDS. No single database architecture or solution can meet all of Amazon.com’s or our customers’ needs.

Cache 129

Cache Cloud Performance Retail 129

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

Percona

MAY 2, 2023

In today’s data-driven world, losing critical data can be catastrophic for any organization. As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. Why are MongoDB database backups important? Why are MongoDB database backups important?

Best Practices 52

Best Practices Database Storage Servers 52

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Data Placement. Data Consistency. This fact is often referred to as the CAP theorem.

Database 213

Database Latency C++ Scalability 213

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. We have several YouTube Tutorials and blog posts available that show how you can use Dynatrace RUM data for Web Performance & User Experience Optimization. Digital Performance: 99% reduction in Response Time, from 18.2s Digital Performance improvement.

Cache 198

Cache Database Architecture Government 198

Percona

OCTOBER 2, 2023

You can get summaries of your database servers, or you verify replication lag on MySQL and PostgreSQL servers. You get thirty-eight scripts that can do any manner of actions, and you will find them very valuable in your regular database work. Caches | 12.4G Caches | 12.4G Caches | 12.4G LTS (jammy) Kernel | 6.2.0-33-generic

Cache 100

Cache Database Virtualization Servers 100

IO River

NOVEMBER 2, 2023

This is where Content Delivery Networks (CDNs) come into play. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. What is Dynamic Content?Dynamic

Cache 52

Cache Social Media Website Performance Website 52

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). In the Reliability space, our data teams focus on two main approaches. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Scalegrid

APRIL 16, 2020

Where you decide to host your cloud databases is a huge decision. But, if you’re considering leveraging a managed databases provider, you have another decision to make – are you able to host in your own cloud account or are you required to host through your managed service provider? Where to host your cloud database?

Cloud 242

Cloud Azure AWS Database 242

Speed Curve

FEBRUARY 5, 2024

Server Timing is a specification that allows communication of data from the server to the client through the use of a server-timing header. SpeedCurve's RUM collection library – lux.js – accesses this interface to collect custom data from the user agent. In the case of a cache miss, this should be zero.)

Servers 57

Servers Cache Retail Benchmarking 57

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency.

Scalability 130

Scalability Analytics Cache AWS 130

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. HyperScale Database. Hyperscale databases are provisioned using vCores. DTU Pricing Tier.

Azure 55

Azure Database Serverless Hardware 55

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. 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 105

Performance Monitoring Traffic Database 105

Percona

APRIL 24, 2023

This post is about PostgreSQL, but most of the problems also apply to other database systems. The more indexes, the more the requirement of memory for effective caching. Indexes need more cache than tables Due to random writes and reads, indexes need more pages to be in the cache.

Tuning 128

Tuning Cache Storage Database 128

IO River

NOVEMBER 2, 2023

This is where Content Delivery Networks (CDNs) come into play. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache 52

Cache Social Media Website Performance Website 52

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. For storage, FIO is generally used.

Performance 54

Performance Benchmarking Cache Storage 54

Percona

MAY 2, 2023

At the same time that I see database engineers relying on the tool, sites such as StackOverflow are banning ChatGPT. Questions Q: I have a MySQL server with 500 GB of RAM; my data set is 100 GB. ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. What could it be?

Social Media 123

Social Media Database Servers Cache 123

Scalegrid

OCTOBER 2, 2019

October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Hosting on Azure for Redis™ service. Redis™, the #1 key-value store and top 10 database in the world, has grown by over 300% in popularity over that past 5 years, per the DB-Engines knowledge base.

Azure 100

Azure Availability Open Source Virtualization 100

Smashing Magazine

AUGUST 3, 2023

You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side. You need to beware of large HTML files or slow network connections because they can lead to longer download times. Everything in one single 528-pages book.

Performance 74

Performance Cache Traffic Metrics 74

Smashing Magazine

DECEMBER 23, 2020

However, let’s take a step further and learn how to deploy modern qualities to PWAs, such as offline functionality, network-based optimizing, cross-device user experience, SEO capabilities, and non-intrusive notifications and requests. The service workers also retrieve the latest data once the server connection is restored.

Cache 123

Cache Internet Internet Google 123

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

ScaleOut Software

JULY 27, 2018

For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications. Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications. Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads.

Scalability 40

Scalability Cache Airlines Healthcare 40

Percona

JULY 27, 2023

This will be handy for auditing data. While this is a great idea for security reasons, there will be many more posts on websites like Stackoverflow bemoaning that their old code and connector can not connect to the new version of the database. has EXPLAIN FORMAT=JSON that can output data into a user variable. Suspicious servers?

Servers 84

Servers Open Source Tuning Cache 84

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. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. If you want to store time-expiring data that should be shared across application processes, used Memcached or Redis.

Cache 79

Cache Latency Google Lambda 79

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98

Lambda Serverless Cache Latency 98

CSS Wizardry

AUGUST 7, 2019

TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!). The reason is because mobile networks are, as a rule, high latency connections. only to find that the resource they’re requesting isn’t in that PoP ’s cache.

Latency 269

Latency Ecommerce Servers Mobile 269