Observability demands are growing rapidly — but many on-prem Elasticsearch deployments weren’t built to handle today’s scale, complexity, or cost pressures.
In this session, we’ll take a strategic look at what changes when organizations move Elastic from on-prem to the cloud. Rather than focusing on technical migration steps, we’ll explore how modern, cloud-based observability architectures impact scalability, operational efficiency, and long-term cost control.
This webinar is designed for engineering and technology leaders evaluating how to evolve their observability stack to support growth, reliability, and future workloads.
- How to migrate your on-prem Elastic observability to on-cloud efficiently
- The key differences between on-prem and cloud-based Elastic architectures
- How cloud-native observability impacts cost, performance, and operations
- What leaders often overlook when transitioning to cloud environments
- How to evaluate whether your current observability stack is future-ready
Scaling high-volume logs, metrics, and traces; supporting distributed and cloud-native systems; reducing operational overhead; improving uptime in mission-critical environments; and enabling AI-driven observability use cases without added infrastructure complexity.
- Scaling observability for high-ingestion environments (logs, metrics, traces)
- Supporting distributed systems and modern cloud-native applications
- Reducing operational overhead for platform and infrastructure teams
- Improving system reliability and uptime in mission-critical environments
- Preparing observability platforms for AI-driven and data-intensive workloads
Speakers
Rishabh Mahajan is an Elastic and AWS certified Cloud Engineer and Elastic Consultant with expertise in observability platforms at Hyperflex. He works on designing and managing Elastic Stack deployments for production environments.He has experience building CI/CD pipelines, optimizing cloud infrastructure, and improving system performance and reliability. His focus is on cost optimization, scalability, and high availability, helping teams run efficient and resilient systems.
Sohini Brahma is a COS at Hyperflex. She focuses on driving growth and customer success. Her position directly contributes to Hyperflex's objective of enabling companies through cutting-edge data innovation. She is eager to leverage her experience for continued learning and growth.