Amplify the speed of cloud deployments with Artificial Intelligence

by Ayisha Tabbassum | at Minnebar 18 | 2:50 – 3:35 in Discover | View Schedule

Leveraging artificial intelligence (AI) to amplify the speed of cloud deployments represents a groundbreaking approach that transforms the traditional methodologies of cloud management, resource allocation, and service delivery. At the heart of this transformation is the strategic integration of AI-driven technologies and processes that enable organizations to anticipate needs, automate complex decisions, and optimize resources dynamically, ensuring that cloud environments are both efficient and scalable.

AI-Driven Predictive Analytics employs sophisticated algorithms to sift through vast amounts of historical data related to cloud usage, application performance metrics, and deployment trends. By harnessing machine learning models, these analytics can forecast future resource demands and identify potential performance bottlenecks before they impact service delivery. The predictive nature of AI not only facilitates a more proactive approach to scaling and resource management but also empowers organizations to make informed decisions, leading to more resilient and responsive cloud environments.

Automated Resource Optimization is another pivotal feature, where AI continuously scans the cloud ecosystem to pinpoint inefficiencies—such as underutilized compute instances or unnecessarily high storage allocations. By intelligently adjusting resources in real-time based on current demands and usage patterns, AI ensures that deployments are not just cost-effective but also tailored to deliver optimal performance. This level of automation reduces the need for manual oversight and allows for a more agile response to changing requirements.

Products and Services in the market in this space

All levels

Ayisha Tabbassum

With a Master's degree in Computer Science from Indiana University Bloomington and multiple cloud certifications, I am an Onsite Lead for Cloud Operations and Multi-Cloud Architecture at Otis Elevator CO. I design, automate, provision, and secure Azure, AWS, and GCP infrastructure for various business domains and customer needs. I am also the founder and CEO of One Stop for cloud, an Edtech company with the motto of providing Simplified Learning Solutions for 5 major cloud platforms such as AWS, Azure, GCP, OCI, and IBM.

I have extensive work experience in using most sophisticated cloud services and tools, such as AKS, EKS, Storage accounts, Key vaults, Azure Monitor, App gateway, VPC, CloudFront, Route53, S3, ELB, RDS, APIGW, Open search, IAM, and Terraform, to create scalable, reliable, and cost-effective solutions. I am also responsible for reporting and addressing the vulnerabilities in Azure security center, and designing and implementing policy add-ons to enhance security.

In addition to my cloud engineering and architecture skills, I have a strong background in infrastructure automation and CI-CD application deployments, using technologies such as Git, Gitlab, Jenkins, Ansible, Docker, Kubernetes, Openshift, Dynatrace, Splunk, Prometheus, Grafana, Sitescope, Nagios, ELK, and Azure Monitor. I have applied these skills in diverse domains, such as E-Commerce, Retail, Big Data, and Security, delivering high-quality solutions that meet business requirements and customer expectations.

I am passionate about learning new technologies and staying updated with the latest trends and best practices in cloud computing and DevOps. I am also motivated by collaborating with cross-functional teams and stakeholders and contributing to the organization's goals and vision.

Have been featured in Architecture and Governance magazine: Have posted my most popular multi-cloud architecture designs on medium:

Similar Sessions

Does this session sound interesting? You may also like these:

Are you interested in this session?

This will add your name to the list of interested participants. It will help us gauge interest for scheduling purposes.

Interested Participants