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1
Leon Yang
April 10th 2019, Senior Architect, Lenovo
ELK Practice in
Enterprise Integration
2
Agenda Slide
目录
About Us1
Using the Elastic Stack in Enterprise Integration3
Future Projects with IoT4
Key Business Values from using Elastic2
5 Q&A
3
About us
0
1
Integration Product DevOps
Lenovo integration / middleware products development.
A2A Integration
Lenovo business application / process integration
B2B Integration
Lenovo business partner / supply chain integration
Data Integration
Lenovo Mater Data integration
0
2
0
3
0
4
Leon Yang (杨磊)
Senior Architect, Lenovo.
关于我们
4
Challenges Faced Before Using Elastic
Cost Efficiency Security
High
Performance
Indexing
• Limited Team Resources
(Finance and People)
• Large-Scale Log Monitoring
• Support Global Functions
• Upper management
concerns
• Complex to separate data
permission by data owner
and data usage
• MySQL cannot support
large scale data persistency
• Cassandra and HBase are
very complex to use
• High Cost of Operation
5
Key Business Values of Using Elastic
• Cost Efficiency
‒ It took only two days to complete the Elastic Stack deployment and generate all the required reports in the
perfect style. With the Elastic Stack, our small team is can manage our middleware.
• Elastic Security Feature
‒ Elastic features, part of the commercial license, provides index level and index-field level security check to
easy separate data by ownership or usage
• High Performance Indexing
‒ Elasticsearch provides rapid indexing and the cluster nodes are easy to operate and maintain.
• Rich Plugins for Data Collection and Publishing
‒ Lenovo has 1000+ integration scenarios on data exchange or process collaboration between hundreds of
applications or services, on premises and cloud, including Lenovo internal and Lenovo external partners.
6
Efficiently implement middleware
system exception monitoring and
log analytics for more than 100
cluster nodes with 0.5 billion
transaction logs per day.
Leon Yang, Senior Architect, Lenovo
7
80
%Copy paste fonts. Choose the
only option to retain text.
• Supporting Lenovo integration system monitoring
• Supporting Lenovo API transaction log statistics & monitoring
API Service Statistics & Monitoring
100%
Successfully delivered
log statistics and
monitoring
ELK Practice in Enterprise Integration
1
8
1 2
Collection Transform
3
Indexing
4
Dashboard
Filebeat Logstash Elasticsearch Kibana
Application Log Files
Using the Elastic Stack in Enterprise Integration
Service Transaction Statistics
9
1 2
Collection Transform
3
Indexing
4
Dashboard
Logstash Elasticsearch Kibana
100+ cluster nodes
Filebeat
Business Application
Middleware
Middleware
Input: JDBC
Input: Kafka
Input: filebeat
Using the Elastic Stack in Enterprise Integration
Service Transaction Log Monitoring & Alarm
10
Using the Elastic Stack in Enterprise Integration
11
Using the Elastic Stack in Enterprise Integration
12
Using the Elastic Stack in Enterprise Integration
13
Using the Elastic Stack in Enterprise Integration
14
80
%Copy paste fonts. Choose the
only option to retain text.
• Exploring Lenovo stream processing integration and
data publish
Stream Processing Integration
80%
Incremental data
integration and
analytics.
2
Using the Elastic Stack in Enterprise Integration
15
LogstashFilebeat Stream Processing Cluster
Logstash Elasticsearch
Business
Application
A
Logstash
API GatewayData Warehouse
1
Data Collection
2
Stream Data Processing
3
Data Service Provision
Business
Application
B
4
Data Consuming
Restful
API
Zookeeper, Topic
Business
Application
C
Incremental data computing and integration
Using the Elastic Stack in Enterprise Integration
16
80
%Copy paste fonts. Choose the
only option to retain text.
• Exploring IoT big data integration and analytics
• Part of the Lenovo Strategy
IoT Data Integration
50%
IoT data integration and
analytics 3
Using the Elastic Stack in Enterprise Integration
17
Data Collection and Publish
Supporting various input and output plugins such as file,
jdbc, kafka, http, tcp and etc.
Data Analytics & Statistics
Providing rich visualization types for easily generating
report.
Data Indexing and Service Provision
With strong indexing engine and fantastic API accessing mode.
Device Health Check
High efficient log collection and indexing to support rapid status check
for devices
IoT Data Integration
Using the Elastic Stack in Enterprise Integration
IoT Elastic
Stack
New
Ideas
18
Thank You
Q&A
leonyaa@sina.com

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Lenovo: Elastic Stack Practices in Enterprise Integration

  • 1. 1 Leon Yang April 10th 2019, Senior Architect, Lenovo ELK Practice in Enterprise Integration
  • 2. 2 Agenda Slide 目录 About Us1 Using the Elastic Stack in Enterprise Integration3 Future Projects with IoT4 Key Business Values from using Elastic2 5 Q&A
  • 3. 3 About us 0 1 Integration Product DevOps Lenovo integration / middleware products development. A2A Integration Lenovo business application / process integration B2B Integration Lenovo business partner / supply chain integration Data Integration Lenovo Mater Data integration 0 2 0 3 0 4 Leon Yang (杨磊) Senior Architect, Lenovo. 关于我们
  • 4. 4 Challenges Faced Before Using Elastic Cost Efficiency Security High Performance Indexing • Limited Team Resources (Finance and People) • Large-Scale Log Monitoring • Support Global Functions • Upper management concerns • Complex to separate data permission by data owner and data usage • MySQL cannot support large scale data persistency • Cassandra and HBase are very complex to use • High Cost of Operation
  • 5. 5 Key Business Values of Using Elastic • Cost Efficiency ‒ It took only two days to complete the Elastic Stack deployment and generate all the required reports in the perfect style. With the Elastic Stack, our small team is can manage our middleware. • Elastic Security Feature ‒ Elastic features, part of the commercial license, provides index level and index-field level security check to easy separate data by ownership or usage • High Performance Indexing ‒ Elasticsearch provides rapid indexing and the cluster nodes are easy to operate and maintain. • Rich Plugins for Data Collection and Publishing ‒ Lenovo has 1000+ integration scenarios on data exchange or process collaboration between hundreds of applications or services, on premises and cloud, including Lenovo internal and Lenovo external partners.
  • 6. 6 Efficiently implement middleware system exception monitoring and log analytics for more than 100 cluster nodes with 0.5 billion transaction logs per day. Leon Yang, Senior Architect, Lenovo
  • 7. 7 80 %Copy paste fonts. Choose the only option to retain text. • Supporting Lenovo integration system monitoring • Supporting Lenovo API transaction log statistics & monitoring API Service Statistics & Monitoring 100% Successfully delivered log statistics and monitoring ELK Practice in Enterprise Integration 1
  • 8. 8 1 2 Collection Transform 3 Indexing 4 Dashboard Filebeat Logstash Elasticsearch Kibana Application Log Files Using the Elastic Stack in Enterprise Integration Service Transaction Statistics
  • 9. 9 1 2 Collection Transform 3 Indexing 4 Dashboard Logstash Elasticsearch Kibana 100+ cluster nodes Filebeat Business Application Middleware Middleware Input: JDBC Input: Kafka Input: filebeat Using the Elastic Stack in Enterprise Integration Service Transaction Log Monitoring & Alarm
  • 10. 10 Using the Elastic Stack in Enterprise Integration
  • 11. 11 Using the Elastic Stack in Enterprise Integration
  • 12. 12 Using the Elastic Stack in Enterprise Integration
  • 13. 13 Using the Elastic Stack in Enterprise Integration
  • 14. 14 80 %Copy paste fonts. Choose the only option to retain text. • Exploring Lenovo stream processing integration and data publish Stream Processing Integration 80% Incremental data integration and analytics. 2 Using the Elastic Stack in Enterprise Integration
  • 15. 15 LogstashFilebeat Stream Processing Cluster Logstash Elasticsearch Business Application A Logstash API GatewayData Warehouse 1 Data Collection 2 Stream Data Processing 3 Data Service Provision Business Application B 4 Data Consuming Restful API Zookeeper, Topic Business Application C Incremental data computing and integration Using the Elastic Stack in Enterprise Integration
  • 16. 16 80 %Copy paste fonts. Choose the only option to retain text. • Exploring IoT big data integration and analytics • Part of the Lenovo Strategy IoT Data Integration 50% IoT data integration and analytics 3 Using the Elastic Stack in Enterprise Integration
  • 17. 17 Data Collection and Publish Supporting various input and output plugins such as file, jdbc, kafka, http, tcp and etc. Data Analytics & Statistics Providing rich visualization types for easily generating report. Data Indexing and Service Provision With strong indexing engine and fantastic API accessing mode. Device Health Check High efficient log collection and indexing to support rapid status check for devices IoT Data Integration Using the Elastic Stack in Enterprise Integration IoT Elastic Stack New Ideas