Auslöser

Das Unternehmen suchte gezielt Unterstützung für die Einführung und Evaluation von Cloud Nativen Entwicklungs- und Deploymentprozessen. Hierzu sollen Data-Driven Anwendungen mithilfe von Azure DevOps in die Cloud deployed werden.

Project description

Das Gesamt-Projekt des Kunden wurde von verschiedenen Dienstleistern betreut.

Im Subprojekt "Serve" wurde die Einrichtung des DevOps-Prozesses von unseren DevOps-Spezialisten umgesetzt, da das Unternehmen erstmals im Rahmen dieses Projekts mithilfe von Pipelines in die Cloud deployen wollte.

Verantwortlichkeiten im Subprojekt "Serve"

• DevOps Prozess aufsetzen: Der DevOps-Prozess wurde aufgesetzt und optimiert.
• Beratung in Bezug auf Tool-Entscheidungen: Das Unternehmen wurde bei der Auswahl der geeigneten Tools beraten. Dabei wurden insbesondere die Vor- und Nachteile von JFrog onPrem, JFrog Cloud und Azure DevOps evaluiert.
• Upskilling im DevOps-Bereich: Schulung und Weiterqualifizierung der internen IT-Abteilungen, um diese in die Lage zu versetzen, selbstständig DevOps-Prozesse zu betreuen.

Projektablauf

• Kick-Off und Initialanalyse: Ein ausführliches Projekt-Kick-Off-Meeting wurde mit allen Beteiligten organisiert, um die Ziele und den Umfang des Projekts zu definieren.
• Evaluation der Cloud-Tools: Evaluierung von JFrog onPrem, JFrog Cloud und Azure DevOps.
• Implementierung von Kernprozessen in DevOps in Azure: Unterstützung des Unternehmens bei der Einführung von Azure DevOps und der Integration bestehender On-Premise-Tools.
• Schulung: Durch eine kontinuierliche projektbezogene Schulung der internen IT-Abteilungen konnten der Wissenstransfers und das Upskilling im DevOps-Bereich sichergestellt werden.

Trigger:

MAKONIS had already supported the customer a few years ago and handed over the project to internal employees.  

The primary trigger for the project was a resource bottleneck at the customer, which was caused by rapid growth and complex, performance-intensive pricing logic requirements.

Project description

The "Development Support" project was created in response to the client's urgent need for more development resources due to its internal growth and complex operational requirements.

The aim was to expand and improve capacities in the areas of code quality, security and automation with the help of external support.

The project significantly improved internal data security through the implementation of Azure KeyVault and increased code quality and compliance with SonarCloud and Snyk in the deployment pipelines.

Best practices for automated tests and continuous integration/delivery (CI/CD) accelerated the development cycles, shortened the time to market and reduced the error rate.

Furthermore, technical debt was reduced to ensure long-term maintainability, and a newly developed API middleware optimized data integration between various ERP systems and a third-party system.

Overall, this project significantly improved the customer's technological efficiency and operational agility.

Project process:

Using the SCRUM methodology, regular sprint meetings were held at which the project team worked with the product owner to maintain the product backlog, assign tasks and monitor progress.

The experts were quickly trained and were able to provide direct support. Hiring internal employees or outsourcing to external experts abroad would have taken too long for the company.

The company has been using Azure for years and launched the project to improve the automation of its cloud infrastructure while maintaining high security and compliance standards. "Guard rails" were introduced for compliance, security and authorizations in order to meet the high requirements.

The "Azure Infrastructure Automation" project was developed to automate the provision and management of cloud resources and meet the company's requirements for high security and compliance standards.

Internal consultants need quick access to accounts and the ability to deploy a virtual machine independently and without in-depth experience in security. The system was designed so that cost centers for resources can be automatically stored and assigned to projects, which enables precise budget control.

The entire process has been automated to enable employees to work smoothly and manage the lifecycle of subscriptions to ensure that resources are properly removed once projects are completed.