Elasticsearch Service
Kingsoft Cloud Elasticsearch Service (KES) is a cloud-based, fully managed service based on open source Elasticsearch. It integrates Kibana and common plug-ins to provide near-real-time storage, search, and analysis features that allow you to manage ultra-large datasets. KES allows you to focus on your business requirements. It supports fast deployment, pay-as-you-go billing, and elastic scaling, making it easy to manage KES clusters. KES applies to a variety of business scenarios, such as log analysis, exception monitoring, and enterprise-class search.
Benefits
Fully Managed Service
KES provides ready-to-use features that allow you to manage clusters in the KES console without the need to maintain underlying hardware or systems.
Hot/Cold Data Isolation
KES distinguishes between data nodes and supports master nodes, coordinator nodes, and warm nodes to demarcate node responsibilities. This enables hot/cold data separation and read/write splitting to fully leverage the advantages of a distributed cluster and cope with different business scenarios.
Elastic Scaling
KES enables real-time, elastic scaling of clusters based on your business requirement. The scaling does not interrupt services.
High Security
KES allows you to deploy clusters in logically isolated VPCs to ensure the security of your data on the cloud. You can control access inside a VPC or between VPCs by using security groups.
High Availability
KES can automatically back up snapshots to Kingsoft Cloud Standard Storage Service (KS3) as scheduled on a daily basis to support disaster recovery.
Extensive Service Packages
KES provides a variety of packages for the Elastic Block Storage (EBS), local SSD, and Elastic Physical Compute (EPC) models. You can select packages for your nodes based on your business requirements to reduce costs and improve efficiency.
Releases
1
KES V1.0 Released
KES V1.0 is released, which provides features such as one-click deployment, elastic scaling, cluster monitoring, and cluster configuration. KES supports Elasticsearch 5.6.16 and 6.8.4 and can be used in the cn_beijing_6 region.
2020-03-04
New Features
2
Experience Optimization
KES allows you to configure security groups.
2020-03-19
Experience Enhancements
3
More Regions Supported
KES supports AZs A and B in the cn_shanghai_2 region and AZ A in the cn_guangzhou_1 region.
2020-04-02
New Features
4
KES V2.0 Released
KES provides the cluster backup feature and supports Elasticsearch 7.4.2.
2020-04-16
New Features
Scenarios
Search Service
Real-time Log Analysis
Time Series Data Analysis
Business Intelligence Analysis
Search Service
Search is a significant part of daily work and life. KES provides the exact search, combined search, full-text search, and filtered search features to meet your search requirements in various business scenarios.
Scenarios
Commodity, location, video, document, hotel, and flight searches in apps and websites.
Features
KES provides a highly available, high-concurrency, and low-latency search experience. It helps you find required information in PBs of data within milliseconds.
Related Services
Real-time Log Analysis
Logs can help you locate exceptions. However, logs are scattered, diversified, and large in scale. KES supports full-text search and responds to your searches in seconds. This allows you to interactively analyze massive amounts of logs and to efficiently utilize logs.
Scenarios
Analysis of business logs such as user behavior logs, status logs such as exception logs and slow logs, audit logs, and system logs.
Features
KES provides a comprehensive solution for log analysis. KES uses Beats and Logstash to connect to various data sources, stores logs in a centralized storage, and uses Kibana dashboards to display analysis results.
Related Services
Time Series Data Analysis
KES can be used to store, process, and retrieve time series data.
Scenarios
Monitoring of infrastructure devices such as servers, containers, and networks, application performance monitoring (APM), and analysis of sensor data generated by intelligent hardware and industrial IoT.
Features
You can write time series data to KES at a high concurrency. KES provides flexible and scalable statistical analysis capabilities and response within seconds. This allows you to be notified of system events in real time.
Related Services
Business Intelligence Analysis
With the growth in the volume of data and increased demand for efficiency in analysis, KES easily meets requirements for efficient and personalized statistical analysis. KES allows enterprises to identify issues and opportunities in their business data and assists in business decision-making.
Scenarios
Metric statistics, multi-dimensional analysis, and statistical reports.
Features
KES supports structured queries, complex filtering, and aggregate statistics, and uses Kibana to provide visual data display.
