DevOps

DevOps Strategy

Metanet Digital takes two different approaches when it comes to the DevOps strategy. First is application of DevOps across the software development lifecycle (SDLC) from the larger perspective of digital transformation in companies and institutions.

To that end, you need changes in software engineering, software development methodology, software building, delivery, and deployment, application maintenance and operation, and IT governance. You also need a sweeping reform in corporate culture for improved collaboration between the business and IT as well as between IT divisions. Together with our customers, Metanet Digital is gradually adopting the most efficient DevOps system through our experience at the Metanet Global Delivery Center and by undertaking numerous projects with various companies and government agencies.

Second is adjusting the level of theDevOps system according to differing application modernization goals adopted by companies and government agencies. Their IT departments have different levels of support for their respective business, such as IT maturity, organizational mechanism, and the staff composition. Accordingly, they have distinctive modernization goals, roadmaps, and speeds.

We assess the level of their legacy systems and examine the application modernization strategy with customers to provide the DevOps service most appropriate for the given customer.

Metanet DevOps Platform & Service

Metanet Digital DevOps service is run on the Metanet DevOps Platform.

Metanet DevOps Platform consists of Meta Desk, Meta CI/CD, and the Metanet Application Service supporting them.

Meta Desk can be integrated with CI/CD using the light ITSM based on service requests depending on the characteristics of the given company and the institution. In particular, Meta Desk is configured to be used as a governing tool for CI/CD in the private sector and must comply with the strict release process laid down by the government and/or public institutions. Meta Desk can also be implemented according to different customer needs, such as SaaS cloud service, on-cloud, or on-premises.

Meta CI/CD is composed of open-source tool chains and the application modules that manage them. They are designed to be compatible with three major public clouds—AWS, Azure, Google—as well as private clouds.

Tool chains and the management process used in Meta CI/CD are adopted by diverse private and government institutions. The CI/CD automation tool chain and the management system offered by Metanet Digital deliver the best DevOps value to customers for sustainable integration, testing, and deployment, which are the most essential parts of application modernization.

Intelligent Automation

An enterprise-wide approach is necessary to unleash the real potential of automation and facilitate digital innovation. This means that you not only need to improve the process with AI but also design a new learning process based on AI.

By taking this approach, you can address and predict the toughest challenges of today and the future with the help of creative AI that can be optimized. AIOps refers to automation of workflows aimed at providing high-performance business services at all times. Service-level contracts concluded with companies are becoming more stringent while hybrid business services are becoming more complex than before. The IT department feels that they are limited by existing isolated tools and manual processes when maintaining the quality of their business service.

With Metanet Digital AIOps, you can reduce service management costs, time handling major HR services, and internal processing costs thanks to workflow automation while accelerating the speed of applying changes to the service operation method.

Why Metanet Digital AIOps

• Metanet Digital AIOps analyzes the connection with the services and businesses and generates alerts notifying users when a defect has been found in the metrics through automatic monitoring and actualization of infrastructure resource composition.
• It detects abnormal logs to predict failures. It assesses the cause of failures based on the impact on services and relevant intelligence.
• It automatically tackles workflow failures.
• You can automatically implement measures through integration with AWS and MS Azure.