[카테고리:] Couchbase Architecture
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Support for Concurrent Index Creation in Indexing Service
Modern applications are implemented as a set of a large number of microservices. Each such microservice may run independently of many other microservices. Such applications expect underlying databases to support multi-tenancy. Couchbase Server 7.0…
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How to Migrate to Scopes & Collections in Couchbase 7.0
Whether you’re new to Couchbase or a seasoned vet, you’ve likely heard about Scopes and Collections. If you’re ready to try them out for yourself, this article helps you make it happen. Scopes and…
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5 Reasons for Developers to Attend Couchbase Connect
When it comes to online tech conferences, you’ve got options. Lots of options. If you’re a NoSQL developer, then Couchbase ConnectONLINE 2021 should be at the top of your list. This free two-day conference…
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How Scopes & Collections Simplify Multi-Tenant App Deployments on Couchbase
Now it’s easier than ever to build and deploy microservices and multi-tenant applications on Couchbase. The 7.0 release introduces a new data organization feature called Scopes and Collections. Scopes and Collections allow logical isolation…
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4 Patterns for Microservices Architecture in Couchbase
Microservices have emerged as a common architecture pattern over the last decade. In this approach, small, autonomous and loosely coupled services work together over a distributed network. Each microservice is typically delimited to a…
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Couchbase Autonomous Operator vs MongoDB Enterprise Kubernetes Operator
A Kubernetes Operator is a software extension to Kubernetes that supports built-in capabilities to manage your Kubernetes applications in an automated fashion and that follows Kubernetes principles – especially the Control Loop pattern. Why…
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How to Harness Real-Time Data Analytics Using Operational Data
Today’s organizations generate data at massive scales and volumes. Applications running on servers in the cloud, data centers and edge devices all produce more data, from more data sources, than ever before. With this…
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How did digital architects deal with the COVID-19 challenge?
How did digital architects deal with the COVID-19 challenge, and what is their blueprint for the future? In Couchbase’s fourth annual digital transformation survey, we have already looked at the challenges to digital transformation…
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Distributed Database Architecture Explained
Distributed databases apply the principles of distributed computing to data storage. The simplest example is a database which stores data on two (or more) servers connected by a network. This “cluster” can be accessed…
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How we implemented Distributed Multi-document ACID Transactions in Couchbase
ACID Transactions are a must when you have strict data consistency requirements in your application. The costs of running transactions on distributed systems can rapidly create bottlenecks at scale. In this article, we will…
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Data Structures & Queries with Couchbase N1QL (SQL for JSON)
In the Data Structures for NoSQL Applications post, we used simplified JSON data access through native collections, maps, and more. This post demonstrates querying that data using higher-level N1QL queries, the SQL-based language for…
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NoSQL Is Dead, Long Live NoSQL
Dynamo accelerated the NoSQL revolution that’s driving the database industry. Recently, Amazon announced PartiQL – A SQL-Compatible Query Language for their flagship NoSQL database Amazon DynamoDB. This has brought the NoSQL “re:evolution” full circle. It’s wonderful to…