Overview
Cloud Log Service (CLS) is a comprehensive solution providing real-time log collection, storage, search, analysis, consumption, and shipping capabilities. It empowers enterprises to fulfill their operational, security, regulatory, and analytical requirements. With a deployment time of just five minutes, this dependable logging service eliminates the conventional challenges associated with resource provisioning and scalability.
Benefits
Comprehensive Features
CLS provides a plethora of capabilities, encompassing real-time log aggregation, structured logging, dependable storage, swift search functionalities, multidimensional analysis, and scheduled log delivery. Additionally, the service offers a comprehensive API and user-friendly console for seamless log administration.
Highly Reliable and Available
CLS ensures an impressive uptime of 99.9% and utilizes high-availability storage solutions. This service offers exceptional security and reliability, including support for redundant backups and a commitment to data durability with a guarantee of 99.99999999%.
Elastic Scaling
CLS employs a scalable and distributed architecture with high elasticity, enabling the concurrent processing of vast volumes of logs. Users can analyze hundreds of millions of log files daily without encountering the typical challenges associated with resource allocation.
Lightning-fast Queries
Logs are instantly captured and become searchable and analyzable as soon as they are received by CLS. The robust query engine can swiftly search through hundreds of millions of files within a single second, enabling efficient analysis and processing of extensive log data.
Easy Deployment
CLS provides a range of log aggregation techniques, such as the LogListener agent, API, and SDK, simplifying the collection and centralized administration of logs. Deployment can be swiftly accomplished within a mere five minutes. CLS has the capability to gather logs from a multitude of origins, spanning web pages, servers, and applications.
Cost-effective
CLS implements an economical pay-per-use model, sparing users the necessity of upkeeping their own open-source log management systems like the ELK stack. By eradicating resource duplications and the need for users to maintain these systems, CLS delivers substantial savings on hardware expenditures and operational overheads.
Features
Real-time Collection
LogListener Collection:
Acquire real-time log collection utilizing Cloud’s LogListener agent. The agent is readily deployable on a variety of widely used Linux operating systems, delivering a blend of reliability, security, and optimal performance while consuming minimal resources.
API/SDK Collection:
Leverage the versatile API to directly upload logs, eliminating the need for the initial installation of the LogListener agent.
Indexing and Queries
Real-time Indexing: Log data is instantly indexed, enabling searches to be conducted within a two-second timeframe.
Robust Query Engine: Seamlessly search through vast amounts of log data with rapid response rates, allowing for precise and swift error identification.
Adaptable Queries: Capable of conducting full-text and multi-keyword searches, as well as cross-topic queries, providing flexibility in search functionality.
Data Shipping
Data Transfer
Transfer logs to other Tencent Cloud services, such as COS, for storage or analysis purposes.
Transfer Logs to COS
Send log data to a user-owned COS bucket for storage and administration.
Scenarios
Backend Management
User Behavior Analytics
Logging Audit
Within extensive computer clusters, the LogListener agent efficiently consolidates logs from various nodes for centralized administration via CLS. Quick keyword searches swiftly pinpoint log errors and pinpoint problematic nodes. Contextual queries are subsequently utilized to reconstruct call chains. Log files are transferred to Cloud Object Storage (COS), which offers ample data storage capacity and streamlined life cycle management.
The CLS API and SDK enable the consolidation of logs from various terminal devices. These logs are readily searchable and analyzable in real-time to fulfill business requirements. Key data can be forwarded to COS for prolonged retention and centralized administration. CLS users can leverage EMR’s big data functionalities to analyze extensive datasets, develop models, establish customer profiles, and extract insights on user behavior. Additionally, visualization tools are available to support informed business decision-making.
The LogListener agent enables the consolidation of logs, which can subsequently be queried for swift analysis of user behavior, such as specific user account activities or webpage interactions, facilitating the detection of potential breaches. Logs can be transferred to COS for extended archival, ensuring adherence to regulatory requirements.
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