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

The Netflix TechBlog

JANUARY 6, 2025

Personalization systems handle the recommendation and serving of titles on these canvases, leveraging a vast ecosystem of microservices, caches, databases, code, and configurations to build these product canvases.

Scalability 219

Scalability Cache Engineering Systems 219

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

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

Dynatrace

SEPTEMBER 2, 2020

Database calls. Maybe there are external HTTP Calls in several different places, or dozens of different views with their own database calls. The sqllite database. A common task we do is helping customers instrument Python applications with our OneAgent SDK. Instrument key portions of your application. Web Requests entry points.

Monitoring 279

Monitoring Cache Open Source Database 279

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 276

Cache Azure Infrastructure Monitoring 276

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. MySQL does.

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

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

DZone

MARCH 16, 2020

In this case, for the sake of demonstration, I have taken 2 million dummy physician records that reside in the database table and migrated them to in-memory maps. 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

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

Scalegrid

MARCH 23, 2020

Once authentication succeeds, it checks if it already has a cached connection for this database+user combination. Once the client disconnects, Pgpool-II has to decide whether to cache the connection: If it has an empty slot, it caches it. If it does, it returns the connection to the client.

Cache 264

Cache Servers Architecture Processing 264

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

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. System Components. Component Design. Posting on Instagram. API Design. Data Models.

Design 334

Design Media Storage Logistics 334

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

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

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 166

Database AWS Games Latency 166

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

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. That included web servers, app services, microservices, queues, databases, mainframe and external services.

Cache 214

Cache Database Architecture Government 214

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 156

Database Lambda AWS IoT 156

Dynatrace

APRIL 10, 2023

transitioned from a homegrown distributed database management system based on Apache Zookeeper and Apache Kafka to a commercial solution based on the high-speed Redis database, cache, and message broker, Dynatrace multicloud observability helped the company understand database performance deviations.

Cloud 243

Cloud Ecommerce Performance Retail 243

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

Dynatrace

MAY 13, 2022

Apache Cassandra is an open-source, distributed, NoSQL database. Microsoft Azure offers multiple ways to manage Apache Cassandra databases. It also removes the need for developers and database administrators to manage infrastructure or update database versions.

Azure 246

Azure Latency Metrics Infrastructure 246

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). You also decide to run your database for storing user uploads – such as images or videos – directly in Kubernetes. However, you lack insights into your PVCs.

Storage 246

Storage Database Network Metrics 246

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

The Netflix TechBlog

OCTOBER 29, 2020

Disk cache Of course, network connectivity may not always be available so downloaded rule sets need to be cached to disk. For this, we’re using SQLDelight along with it’s Android and Native Database drivers for Multiplatform persistence. We’re using Ktor ’s Multiplatform HttpClient to embed our networking code within the SDK.

Mobile 279

Mobile Cache Network Technology 279

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

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

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

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. The team at RevenueCat created an open-source memcache client that provides several advanced features.

Cache 109

Cache Open Source Availability Performance 109

Percona

NOVEMBER 1, 2023

version, like this: ANALYZE TABLE removes the table from the table definition cache, which requires a flush lock. This makes the query wait for any long-running queries to finish but also can trigger cascading waiting for other incoming requests. In short, ANALYZE could lead to nasty stalls in busy production environments. x are all safe.

Servers 117

Servers Database Cache C++ 117

Dynatrace

DECEMBER 21, 2023

Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). Implement appropriate caching layers (for example, read-only cache for static data). A few examples: Reduce roundtrips between services (for example, the N+1 query pattern). Reduce inter-process communications overhead.

Cloud 264

Cloud Energy Best Practices Cache 264

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

Database 90

Database Cache Benchmarking Efficiency 90

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 97

Cache Cloud Performance Retail 97

Scalegrid

JULY 8, 2020

Get To Know the Redis Database: Iterating Over Keys. The ability to iterate cheaply over the Redis key space is very important to familiarizing yourself with the database contents. Learn the various key space iteration options available in Redis. Learn more. Top Redis Use Cases by Core Data Structure Types. Learn more.

Servers 239

Servers Database Availability Monitoring 239

The Netflix TechBlog

MARCH 7, 2023

There are many naive solutions possible for this problem for example: Write different runs in different databases. Instead our challenge was to implement this feature on top of Cassandra and ElasticSearch databases because that’s what Marken uses. This is obviously very expensive. Write algo runs into files.

Media 272

Media Latency Architecture Database 272