Dr. Priyanka Ray discussed her essential tools for managing cloud migration and modernization projects. S
he emphasized the necessity of IBM's AI-based consulting accelerators, such as ICA and Delivery Curator, which are non-negotiable for her team.
Additionally, she highlighted the importance of third-party tools like CAST, Txture, and Device42, as well as AWS, Azure, and Google's AI-powered predictive analytics tool for data center performance.
Tools such as Turbonomic and FinOps for workload observability and infrastructure management are also crucial for her team's daily operations.
This video is excerpted from the podcast Ep. #52 Dr. Priyanka Ray, Global GTM Cloud Migration & Modernisation Lead of IBM | Data Center Go-to-Market Podcast.
Action Items
- Ensure the team is certified on third-party tools like CAST, Txture, and Device42 that clients use.
- Leverage the IBM Consulting Accelerators (ICA) and Delivery Curator tools for cloud migration and modernization projects.
- Utilize the Google AI-powered predictive analytics tool to analyze the applications and workloads running in the data center.
- Implement the Turbonomic tool for observability and performance monitoring of applications.
- Use FinOps tools like Apptio to optimize infrastructure costs and manage the running workloads.
Outline
Favorite Tools for Cloud Migration and Modernization
- Joshua Feinberg inquires about Priyanka's favorite tools, which she considers essential for her work, especially in the context of compliance or budget constraints.
- Dr. Priyanka Ray begins by mentioning IBM tools crucial for managing migration and modernization projects.
- Priyanka emphasizes the necessity of these IBM tools, stating that they are integral to their daily work and cannot be removed without significant impact.
- She also highlights the importance of third-party tools like CAST, Txture, and Device42, which are essential for client projects and require certification.
Essential Third-Party and Cloud Tools
- Priyanka discusses the necessity of AWS, Azure, and Google tools for their projects, including Google's AI-powered predictive analytics tool for data center performance.
- She explains the role of the Turbonomic tool in providing observability and performance insights for applications, which is a must-have tool for their team.
- Tools also help manage infrastructure and workloads, identifying unnecessary resources and optimizing usage.
- Priyanka elaborates on the importance of these tools in understanding workload performance and infrastructure needs, ensuring efficient management and optimization.
Resources
Do you want to stay up to date about upcoming episodes?
Subscribe to the Data Center Sales and Marketing Newsletter
