Migrating to the Cloud: Keeping your Operations Stable in an Unstable World

Migrating to the cloud continues to be challenging because of changing infrastructure, breaking down monoliths, and adoption of orchestration and serverless technologies. One way to meet these challenges is moving to an abstract model of your workloads. In this webinar, we’ll share how abstract models can help you navigate your re-architecting efforts in a continuously changing environment. 

Join Florian Baumert, Customer Engineer at Google and Evgeni Wachnowezki, Product Manager at Instana and hear:

  • How to get insights into on-premise and cloud workloads and why GCP and Instana are a seamless fit
  • How to migrate on-premise workloads to the Google cloud and keep operations stable
  • How to reach operational excellence/Anthos Configuration Management (ACM) in combination with Instana as an easy way to automate and govern

Evgeni Wachnowezki

Evgeni Wachnowezki serves as Technical Product Manager of Instana, where he focuses on the Enterprise, Integration and Profiling aspects of Instana. In this capacity as Technical Product Manager, he leverages his expertise in a large number of technologies, some bleeding edge and some far less so, that he has accrued as an IT consultant for codecentric AG and itestra GmbH. Evgeni has a Bachelor of Science in Computer Science from Paderborn University and a Master of Science from RWTH Aachen University.

Florian Baumert

Florian Baumert works as a Customer Engineer for Google with the specialization in application modernization. Having worked a long time as a Software Engineer and Architect mostly in the market data and clearing Business, his passion is to deliver fast and efficient software. In his opinion, this can only be achieved with deep and meaningful insights into the applications. Having built his first do-it-yourself performance and operational monitoring system around 1999/2000, this pattern continued in every company he worked for. First get insights, than optimize. Florian is happy there are tools available nowadays, commoditizing Observability.

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