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Amazon Web Services renomme Amazon Elasticsearch Service avec sa nouvelle identité, Amazon OpenSearch Service, après un procès intenté contre elle par Elasticsearch
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OpenSearch, the AWS-sponsored Elasticsearch fork, reaches 1 0 milestone
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API gateways are a response to a key outcome of the microservices architecture style: the proliferation of services and their interfaces. The core purpose of an API gateway is to simplify and stabilize the interfaces exposed to clients.
In addition to this, because of the unique position of an API gateway in the architecture, a variety of add-on benefits are enabled, like monitoring, logging, security, load balancing, and manipulation of traffic.
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An API gateway is similar to the Facade design pattern, but applied at the network level. The objective in both cases is to provide a simplified interface profile that hides the complexity of the system. You can see this idea in Figure 1.
Data lake storage: Cloud vs on-premise data lakes
The data lake is a fundamental concept of data management. But what type of storage do you need to build a data lake on and what are the pros and cons of on-premise vs the cloud?
Share this item with your network: By Published: 18 Feb 2021
Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts.
In this article, we’ll start at the top of that hierarchy and look at data lakes. As organisations try to get a grip of their data and to wring as much value from it as they can, the data lake is a core concept.
Amazon объявил о создании собственного форка Elasticsearch
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