DZone

MARCH 16, 2020

This article compares different options for the in-memory maps and their performances in order for an application to move away from traditional RDBMS tables for frequently accessed data. The migration will enable the application to quickly lookup in the map and vet the physician rather than querying the database table for vetting.

Cache 147

Cache Java Performance Database 147

Speed Curve

JANUARY 19, 2025

Let's kick off the new year by celebrating someone who has not just had a huge impact on web performance over the past few years, but who has even more exciting stuff in the works for the future: Annie Sullivan! Annie and her team navigate this arduous task with true passion for web performance and for improving the user experience.

Performance 98

Performance Google Speed Metrics 98

Dynatrace

AUGUST 12, 2019

With OneAgent installed on an application server, Davis, the Dynatrace AI causation engine, continuously analyzes all database statements within the context of your applications. Now, with Oracle database insights, we’re going even deeper, giving you visibility into what’s going on in the database layer.

Database 170

Database Metrics Cache Servers 170

Smashing Magazine

JANUARY 7, 2025

In this article, well discuss six ways to design websites for high-traffic events like product drops and sales: Compress and optimize images , Choose a scalable web host , Use a CDN , Leverage caching , Stress test websites , Refine the backend. You can also find optimization plugins or caching solutions that give you access to a CDN.

Traffic 86

Traffic Website Design Cache 86

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 276

Cache Azure Infrastructure Monitoring 276

Scalegrid

NOVEMBER 26, 2020

In fact, it is the number one key value store and eighth most popular database in the world. Redis is a great caching solution for highly demanding applications, and there are […]. Redis is an advanced key-value store. It has high throughput and runs from memory, but also has the ability to persist data on disk.

Cache 130

Cache Azure Benchmarking Performance 130

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Over time as new key-value databases were introduced and service owners launched new use cases, we encountered numerous challenges with datastore misuse.

Latency 260

Latency Storage Cache Servers 260

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. Sample Queries supported by Graph Database.

Design 334

Design Media Storage Logistics 334

High Scalability

FEBRUARY 17, 2021

This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. I have used latest versions for each NoSQL DB and have followed the recommendations to run all the databases in optimized conditions. Load and 2.

Benchmarking 308

Benchmarking Latency C++ Database 308

Scalegrid

AUGUST 30, 2019

Depending on how it is configured, Redis can act like a database, a cache or a message broker. It’s important to note that Redis is a NoSQL database system. Session Cache: Many websites leverage Redis Strings to create a session cache to speed up their website experience by caching HTML fragments or pages.

Cache 232

Cache Ecommerce Social Media Database 232

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. So, how do you know if your hot data is in memory?

Cache 107

Cache Efficiency Database Monitoring 107

The Netflix TechBlog

APRIL 27, 2023

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases.

Storage 297

Storage Cache Metrics Database 297

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Werner Vogels weblog on building scalable and robust distributed systems.

Scalability 162

Scalability Database Ecommerce Latency 162

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

Dynatrace

AUGUST 30, 2019

Digital Performance: 99% reduction in Response Time, from 18.2s Infrastructure Optimization: 100% improvement in Database Connectivity. Dynatrace Real User Monitoring (RUM) captures very detailed user behavior, as well as experience and performance information, about every user on your applications.

Cache 214

Cache Database Architecture Government 214

DZone

NOVEMBER 25, 2019

Monitoring is very essential for modern applications, modern applications are highly distributed in nature and have different dependencies like database, service, caching and many more. You may also like: Monitoring Using Spring Boot 2.0, Prometheus, and Grafana (Part 1 — REST API).

Monitoring 286

Monitoring Cache Metrics Database 286

Jos

JUNE 2, 2018

Web Performance is not only about understanding what makes a site fast. Performance is a feature and needs to be prioritized as such. Performance is a topic that has interested me for a long time. Moving over to web, the performance problems are different. This is not a post explaining why web performance is important.

Performance 237

Performance Speed Google Media 237

Dynatrace

MAY 13, 2022

This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Apache Cassandra is an open-source, distributed, NoSQL database. Microsoft Azure offers multiple ways to manage Apache Cassandra databases. You can also analyze table metrics, such as cache hits and misses.

Azure 246

Azure Latency Metrics Infrastructure 246

Scalegrid

JANUARY 10, 2025

Heading into 2024, SQL databases will remain essential in data management, increasingly using distributed systems to meet growing needs for scalability and reliability. According to 2023 statistics, 49% of web applications use an SQL-based database , with SQL having a 75% adoption rate in the IT industry.

Database 130

Database Scalability Best Practices Blockchain 130

DZone

JUNE 3, 2019

Let's imagine a web application, where for each request received, it must read some configuration data of a database. Imagine also that the database is very busy or the connection is slow. A solution to that problem could be using a cache, but how do you implement it? What would happen?

Cache 100

Cache Database Network Java 100

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes.

Database 158

Database Lambda AWS IoT 158

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. When it comes to performance, you shouldn’t be stingy. On design systems, UX, web performance and CSS/JS. Active Memory Caching. Using the cache as permanent storage is an anti-pattern.

Cache 141

Cache Performance Servers Architecture 141

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 99

Cache Cloud Performance Retail 99

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. AWS AppSync: AppSync offers a fully managed approach to developing APIs with GraphQL — connecting to AWS DynamoLB or Lambda along with adding caches and client-side data. Data Store.

Serverless 325

Serverless AWS Lambda Storage 325

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 144

Performance Hardware Tuning Storage 144

The Netflix TechBlog

NOVEMBER 4, 2019

Specifically, how our team uses the relationships and schemas defined within GraphQL to automatically build and maintain a search database. Each service could potentially implement its own search database, but then we would still need an aggregator. Best of all, our page can load much faster since everything is cached in Elasticsearch.

Database 246

Database Cache Servers Performance 246

DZone

DECEMBER 28, 2020

In this post, we will mostly be talking about a few things that we should keep in mind while writing web APIs to get the best possible performance out of them. Let's discuss a few points to help you understand how we can work more of performance optimization. Virtual Tables. Let's look at an example. This process may take some time.

Performance 189

Performance Virtualization Database Processing 189

Dynatrace

DECEMBER 21, 2023

Level 2: Hosts and containers You might run thousands of hosts and containers, many of which have been sized by prioritizing performance over energy consumption. Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). So, it’s time to consider the next level of optimization.

Cloud 264

Cloud Energy Best Practices Cache 264

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. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 136

Performance Monitoring Traffic Database 136

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

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 Redis on Azure 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 37

Azure Cloud Open Source Virtualization 37

Percona

AUGUST 31, 2018

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. It is important to pay attention to performance when writing database queries. PostgreSQL’s Tuneable Parameters.

Tuning 79

Tuning Database Performance Benchmarking 79

Dynatrace

NOVEMBER 3, 2021

Because monitoring tends to focus on key indicators such as utilization rates and throughput, monitoring indicates overall system performance. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

InfoQ

JANUARY 29, 2024

RevenueCat extensively uses caching to improve the availability and performance of its product API while ensuring consistency. The company shared its techniques to deliver the platform, which can handle over 1.2 billion daily API requests. By Rafal Gancarz

Cache 109

Cache Open Source Availability Performance 109

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. HA is sometimes confused with “fault tolerance.”

Availability 132

Availability Database Open Source Hardware 132

Dynatrace

OCTOBER 21, 2020

Our Cluster Performance Engineering Team in collaboration with our Autonomous Cloud Enablement (ACE) and development teams quickly identified the root cause and fixed the problem in no time! By default, checking these configurations is not a performance problem as a standard tenant only has a handful of these custom locations configured.

Code 246

Code Cloud Engineering Java 246

The Netflix TechBlog

MAY 19, 2023

Netflix Modeling Challenges Before Caveats SpiceDB, being a Relationship Based Access Control (ReBAC) system, expected authorization checks to be performed against the existence of a specific relationship between objects. A cleanup process to prune stale relationships from the database. This is a Caveated SpiceDB relationship.

Cache 255

Cache Google Open Source Systems 255