Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
SoftWare Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive
Help Center/ Log Tank Service/ Service Overview/ Application Scenarios

Application Scenarios

Updated on 2024-08-19 GMT+08:00

Scenario 1: Application O&M

Enterprises often encounter the following pain points when collecting logs for routine O&M, audit, or security compliance:

  • They need to collect complex and massive logs from many departments.
  • Too many cloud resources and untrained monitoring personnel make O&M difficult.
  • High security compliance requirements and long-term storage result in high labor and maintenance costs.

LTS provides the following functions for this scenario:

  • All-scenario quick log ingestion: covers services, applications, middleware, and infrastructure.
  • Fast query and fault location: queries logs in seconds, and locates and analyzes issues in minutes based on the alarm rules and notifications you set.
  • Long-term log storage in OBS: meets cyber security requirements.
LTS provides the following solution to centrally collect production environment logs for developers to search and analyze, and for O&M personnel to detect and rectify faults in real time based on the configured alarm rules.
Figure 1 Application O&M solution

Scenario 2: Security Compliance

For large enterprises, each service department has an independent cloud account for isolating resources, O&M personnel of each department rely on log monitoring and alarms to locate and analyze faults, and the security department needs to centrally monitor logs of all departments. Therefore, unified log management of multiple accounts is challenging.

  • Independent O&M by service: Each service module has an independent account for resource isolation and needs a log service to configure monitoring alarms to quickly locate faults and root causes.
  • Unified log monitoring: To meet regulatory requirements, the security department needs to aggregate logs of all accounts to one account and store the logs for more than 180 days.

LTS provides the following functions for this scenario:

  • Independent management of accounts: Each account has isolated resources and permissions, and independently collects its own application and cloud service logs. You can configure alarm rules to demarcate 90% of problems in 10 minutes.
  • Central aggregation of cross-account log data: The multi-account log center copies logs of multiple accounts to a unified monitoring account to store for at least 180 days for centralized compliance audits, meeting cyber security regulations.
LTS provides the following solution for central collection and storage beyond 180 days, meeting the requirements of the Cybersecurity Law and General Data Protection Regulation (GDPR).
Figure 2 Security compliance solution

Scenario 3: Operations Analysis

Enterprises collect various logs (such as mobile device and server logs) during their daily operations. After being normalized, filtered, anonymized, and enriched, these logs can be analyzed with big data platforms and BI tools to obtain operations data such as the PV, UV, user stay duration, and transaction amount. The data helps enterprises understand their operations status, analyze user behavior characteristics, make adjustments in real time, improve user experience and operations efficiency, and implement digital transformation.

Enterprises often encounter the following pain points during service analysis:

  • Difficult data collection: It is not easy to collect logs of various mobile devices, such as web browsers, iOS, Android, Baidu applets, WeChat applets, DingTalk applets, and quick apps.
  • Unreliable data transmission: Mobile device logs are numerous and frequently transmitted. The transmission is slow and logs are prone to be lost, affecting service analysis.
  • Inconvenient data processing: Raw data cannot be directly processed by big data platforms.

LTS can collect various mobile device logs for you to analyze service operations on big data platforms.

  • Full collection of device logs: You can quickly integrate LTS mobile SDKs to your devices to enable functions such as cache sending, retry upon exceptions, and batch sending.
  • Fast and reliable reporting: The collected device logs are reported in seconds through the transmission link without data loss for more complete analysis.
  • Quick interconnection with DLI and DWS: DLI-Flink integrates connectors and consumes logs from LTS in real time. LTS easily transfers logs to OBS for DLI to read, and transfers structured logs to DWS.
LTS provides the following solution to structure logs, analyze logs with SQL syntax, generate visual charts, and work with big data platforms to help enterprises further explore data value and achieve digital transformation.
Figure 3 Operations analysis solution

We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out more

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback