Abstract: Cloud native database based on storage and computing separation architecture, compared with traditional database, with high performance, high expansion, consistency, easy management and multi-cloud support and other features, in mass data processing, intelligent storage, business applications and other aspects showed a strong vitality.
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In recent years, cloud native has become a hot topic in the field of cloud computing. As a developer, if you haven’t heard of cloud native, you don’t feel comfortable talking to your peers. So what exactly do developers mean by cloud native?
Cloud native: Make apps “born in the cloud, grow in the cloud”
Cloud native refers to the endogenous cloud capabilities on the cloud. Based on unified architecture and cloud native infrastructure, it can realize multi-cloud collaboration, hybrid cloud solutions, and edge cloud collaboration capabilities. Huawei Cloud believes that with the arrival of the Cloud native 2.0 era, enterprise Cloud transformation from “ON Cloud” to “IN Cloud”. New capabilities and existing capabilities are organically coordinated to create a new Cloud native enterprise with “high resource efficiency, agile application, business intelligence, security and reliability”.
With the wave of cloud native 2.0 rolling in, database system has also entered a new development direction. From open source database to cloud database service, from distributed database integrating computing and storage to cloud native database separating storage and computing, the database industry is developing in the direction of diversification and diversification. Cloud native database based on unified cloud infrastructure will become the data base of enterprise digital transformation.
Cloud native database makes enterprise business more efficient and agile
As cloud computing becomes larger and larger and data volume increases exponentially, traditional databases are unable to support massive data and write pressure. The cloud native database is based on the separation of storage and computing architecture. Compared with the traditional database, it has the characteristics of high performance, high expansion, consistency, easy management and multi-cloud support, showing a strong vitality in mass data processing, intelligent storage, business applications and other aspects.
Take cloud native GaussDB(for Influx) timing database as an example. As a PB-level distributed timing database developed by Huawei, GaussDB(for Influx) has made bold technical innovations in architecture, performance, and data compression by integrating huawei’s resources and experience in various fields. It supports Huawei cloud infrastructure services internally and is open to the outside in the form of cloud services, helping enterprises on the cloud to solve related business problems.
GaussDB(for Influx) is based on cloud native storage and computing separation architecture with fully compatible interfaces for InfluxDB and write interfaces for OpenTSDB, Prometheus, and Graphite. It supports 100 million timelines, extreme write performance, low storage cost, high-performance multi-dimensional aggregate query, and extreme elastic capacity expansion and reduction.
L Support hundred-million-level timeline: by optimizing memory allocation, recycling, single query and other functions, achieve the stability of writing performance of massive time offline system;
L Extreme write performance: it can write trillions of data every day, meeting the performance requirements of massive data write and query in large-scale operation and maintenance monitoring and Internet of Things scenarios;
L Low storage cost: greatly reduce data storage cost through data compression and data hot and cold separation design;
L High-performance multidimensional aggregated query: the performance of aggregated query is improved several times by optimizing MPP architecture, introducing vectorization query engine and incremental aggregation engine, etc.
L Minute-level elastic capacity expansion: The cloud native storage and computing architecture is separated. Data is shared by multiple compute nodes and the capacity can be rapidly expanded or shrunk based on service changes.
The era of cloud native 2.0 is the new “battlefield” of database, which has brought many exciting new challenges and new opportunities to the database industry that has developed for more than 40 years. Huawei Cloud hopes to work with many technical colleagues in the database industry at home and abroad to jointly cope with the new challenges of the era and push database technology to a higher realm.
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