As of December 31, 2021, the company has 402 holding companies in more than 20 provinces (autonomous regions and municipalities), about 45,400 cooperative farmers (family farms), and about 44,000 employees. In 2021, the company listed 13.2174 million pork pigs and 1.101 billion broilers, achieving a revenue of 64.954 billion yuan.
Background of IT Operations transformation
1. Background and challenges of operations transformation:
1) Rapid business growth and increasingly complex IT architecture: The existing system runs in virtual machine, and the new system is deployed and run in K8S cluster pod mode
2) Low automation level of operation and maintenance, low efficiency of operation and maintenance: fewer operation and maintenance personnel, more repetitive work, solving the problem of low-value work, and difficult to quantify daily work
3) lack of a unified operation and maintenance asset management tool: Manual updating of CMDB records leads to easy delay or omission of updates during busy hours, without recording the correlation of configuration objects
4) Immature operation and maintenance integration construction: diminishing marginal returns from the construction of a single operation and maintenance tool, and the lack of operation and maintenance management platform integrating supervision and control
2. Operation and maintenance transformation objectives:
1) Integration: Based on the concept of "platform + application", the existing capabilities and resources are integrated to reshape the enterprise operation and maintenance system.
2) Automation: The operation and maintenance operations with high manual repeatability are replaced by automatic means to improve the efficiency and safety of operation and maintenance.
3) Fast service response: Improve service quality, accelerate application and resource delivery speed, and gradually achieve efficient operation and maintenance
4) Easy operation and management: simple operation process, reduce operation and maintenance personnel learning costs, improve work efficiency
3. Operation and maintenance transformation stage:
The practice of operation and maintenance transformation stage of Wen Group is based on the base of Blue Whale integrated platform, from object digitization (CMDB, monitoring and alarm) to behavior digitization (automatic operation and maintenance) to operation digitization (unified operation and maintenance portal, resource billing management, operation and maintenance process SLA), step by step.
Thinking on the system of Process Management driving automated operation and maintenance
1. Example presentation: Domain name delivery automation
1) Approval process Platform: Process work order Bill of Lading -- Approval in Blue Whale ITSM (integrates two sets of user systems for internal and external personnel of organization structure) -- API automatically creates task and executes (ability of process tool to integrate open API) -- waits for background processing to complete -- processing to complete -- notifies user -- completion of work order
2) Automation process: Do user synchronization with the external user system, approve the process bill of lading, automatically create and execute tasks through the process transfer API interface, arrange the execution of the process, write back the CMDB and update the status of the process and person of the work order
2. Automatic operation and maintenance system driven by process management: The Group's process-driven automated operation and maintenance system relies on the unified operation and maintenance PaaS provided by Blue Whale, supported by the ITSM process system +ITOM automation system.
In the practice of Wenn Group, the process plays two important roles in driving the automation scene: one is to enrich the scene horizontally, and the other is to pull the data vertically. Through connecting the two, the whole user system of Wen Group is opened up, and the whole operation and maintenance structure forms a closed loop, which can be traced back.
3. Three conditions are required for the implementation of process-driven operation and maintenance automation:
1) Agile operation and maintenance process design: flexible arrangement of visual drag process nodes, including approval, API and automation nodes. Personalized process form configuration to support different form content for each process node.
2) Strong automation ability:
Executive ability: integrate the original system ability of the enterprise, including the platform's own ability, to do a comprehensive operation on the technology platform, application system, etc.
Job management capability: Diversified job execution modes and flexible job scheduling upgrade single point execution capability to systematic automation capability to support more automated scenarios.
3) Accurate CMDB configuration information data:
IT design objectified, from the hardware to the operating system, and then to the database middleware and application system digitized, the formation of the configuration management database. The database is application-centric.
CMDB fusion process management, automatic operation and maintenance
How to ensure the data quality of CMDB? Can it better serve processes and automate them? 1. Process linkage write back to CMDB:
Many forms in the nodes of the
process. By invoking the interface of CMDB to consume data in the market, the process and CMDB have a two-way linkage relationship.Operation and maintenance process integration. Through the customized orchestration and automatic integration of the process, the update is automatically recorded into the CMDB after the completion of resource online, release, and automatic change execution. 2. Develop inspection SaaS to detect the accuracy of CMDB data:
For example, multiple attributes in the model: The oid attributes of the hardware snmp protocol, cabinet location, VM cpu memory, disk, online date, and scheduled offline date are checked periodically through SaaS inspection to form a quality report.
3. Verify data quality in the process of continuous consumption:
CMDB provides internal product linkage and external system consumption interface, such as CMDB-based data, including server resources, cpu memory, disks, public IP, etc. The usage of these resources and some resource charging standards are defined. In order to achieve three dimensions (business level, department level, user level) resource valuation statistical analysis, standardize the rational use of IT resources. By this means, the CMDB data quality accuracy is guaranteed, and the process automation is driven.
Blue Whale Based Process Driven Automation Practice Scenario presentation
Blue Whale provides a number of principle capabilities, configuration platforms, job platforms, API gateways, and development frameworks. Users can use the Blue Whale Tool to access tools within the Wintek platform, such as publication automation, database synchronization, resource delivery, and more.
< /p>Blue Whale provides the architecture internally. Wen connects the existing systems (OA system, JIRA, IMC, etc.), game platform, etc., with Blue Whale's API gateway to form the overall architecture.
