As an AWS advanced consulting partner, ECCOM is not only AWS Managed Service Provider and China Solution Provider, but also has joined the AWS Solution Provider Program. The company has AWS Migration Consulting Competency and Security Consulting Competency, and dozens of AWS senior certified professionals provide customized services to customers.
ECCOM has rich experience in key business cloud experience and strong public cloud technical capabilities, including tools, methods and practices, it can provide customers withAWS-related consulting planning, migration implementation, managed operation and maintenance, architecture optimization, data management and data value A series of professional services such as excavation.
ECCOM, as a close digital partner of many companies, has long been trusted and recognized by customers. When customers are considering putting big data storage and analysis services on the cloud, they will seek ECCOM as their close consulting and landing partner to help them with the best way to achieve the goal.
The traditional database-based data processing mode requires personnel to be on duty for 24 hours due to insufficient robustness in the big data scenario.
The threshold for data analysis business development is high and it is difficult to achieve agility.
The dimensions of big data analysis far exceed the traditional analysis dimensions of performance data, making computing power more and more strained, and distributed processing is urgently needed.
The cost of data storage and operation has increased sharply, and the difficulty of management has increased significantly.
The increase in the number of users poses a challenge to the data access mechanism, and the slow response time is becoming increasingly severe.
Based on AWS' complete infrastructure ecology and advanced service tools, save enterprise data in the form of a data lake to AWS and use Amazon Web Services native data analysis services to efficiently and securely carry out data analysis activities on the basis of cost optimization , Customers can meet their needs in the most convenient way.
EMR and S3 are the foundation of the data lake. The data analysis business on AWS usually takes them as the core, and implements it with other services (including native services and third-party services) according to different business needs. EMR cooperates with S3 to separate computing and storage. The elasticity of EMR is used to ensure availability, and S3 is used to provide low-cost and reliable storage. EMR continues to update the latest version of Hadoop ecological tools and integrates various AWS services to achieve analysis goals. It can get an accurate and efficient operation experience with the help of AWS operation and maintenance tools.
Customers need to use the IoV system platform to uniformly manage business data across the entire European region. In the project, by migrating the IoV system to the Amazon Web Services Frankfurt Region, the end-to-end cloud adaptation of IoV IoT is completed to achieve unified data aggregation and mining. Realize the rapid launch of business and the perfect combination of business agility, flexibility and reliability. And with the help of Amazon Web Services's advanced technology stack, cost reduction and security enhancement are achieved.
The entire business system of the project involves multiple applications, including TSP, OTA, mobile APP, data analysis platform, new energy monitoring and so on. Big data, IoT, other services and middleware are used in the architecture, and the overall virtual machine scale reaches 400+. The solution uses Terraform-based methods to quickly build multiple environments for user testing and production. The system architecture on the cloud adopts a multi-zone redundancy architecture, the front-end and back-end of the business system are separated, and the dynamic scaling of the business is achieved through ELB load balancing and Auto Scaling.