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

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 298

Storage Cache Metrics Database 298

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

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 261

Latency Storage Cache Efficiency 261

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

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

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 256

Monitoring Cache Open Source Database 256

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

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 96

Cache Efficiency Database Monitoring 96

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 164

Scalability Database Ecommerce Latency 164

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 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 128

Database Metrics Cache Servers 128

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 215

Cache Azure Infrastructure Monitoring 215

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 159

Database Lambda AWS IoT 159

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 205

Cache Database Architecture Government 205

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 108

Cache Open Source Availability Performance 108

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 242

Azure Latency Metrics Infrastructure 242

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

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 293

Serverless AWS Lambda Storage 293

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 247

Database Cache Servers Performance 247

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

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 101

Cache Cloud Performance Retail 101

The Netflix TechBlog

MAY 19, 2023

A cleanup process to prune stale relationships from the database. Over time, each node caches a subset of subproblems to support a distributed cache, reduce the datastore load, and achieve SpiceDB’s horizontal scalability. What was problematic about this design? SpiceDB walks the graph and decomposes it into subproblems.

Cache 255

Cache Google Open Source Systems 255

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

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

VoltDB

MARCH 21, 2024

In the world of databases, data management, and data platforms, this entropy usually takes the form of a simple database or data platform that might be ideal for early use cases evolving (or rather, de volving) into an expensive and unmanageable nightmare due to operational strain from use-case gluttony. How hard can it be?

Cache 52

Cache Database Storage Availability 52

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 200

Storage Database Network Metrics 200

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 273

Media Latency Architecture Database 273

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

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 114

Availability Database Open Source Hardware 114

Uber Engineering

MAY 2, 2024

Learn how Uber serves over 40 million reads per second from its in-house, distributed database built on top of MySQL using an integrated caching solution: CacheFront.”

Cache 81

Cache Storage Database 81

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 182

Cloud Ecommerce Performance Retail 182

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 103

Servers Database Cache C++ 103