Divyanshu Mishra
Lead Devops Engineer - Eastern Enterprise
Delhi, India
Actions
With 8 years of expertise, Divyanshu Mishra is a Lead Devops Engineer at Eastern Enterprise formerly with Shellsquare. Capgemini and *Vivicta* (formerly Tietoevry), he excels in *Kubernetes*, *Python* automation, and *Public Cloud* architectures. At Vivicta, he pioneered *OpenAI* training for enterprise innovation. A speaker at various community events and the **Delhi organizer for OpenSearch**, he focuses on the intersection of *AI* and *Cloud-Native* platforms.
Links
Area of Expertise
Topics
The Lucene Scalpel: Tuning Low-Level Segments for Multi-Lingual Concurrency
As European search applications scale, they face a unique challenge: maintaining high-concurrency relevance across multi-lingual datasets. When an index grows to 25GB+, standard Lucene merge policies often lead to "Segment Fragmentation," causing significant latency spikes in k-NN search. This session moves beyond basic vector implementation to perform "surgery" on the underlying Lucene engine. We explore how to tune index merge policies and custom analyzers specifically for multi-lingual shards, ensuring that 60+ concurrent streams remain performant. Attendees will learn how to optimize the physical storage of vector data to reduce I/O overhead and maintain sub-second relevance without bloating hardware costs.
Index Lifecycle Management at Scale: The Decisions That Will Haunt You at 10 Billion Documents
At a certain scale, your "standard" indexing strategy stops being an asset and becomes a liability. When you cross the threshold of 10 billion documents, mistakes made in shard sizing, rollover policies, and tiering strategies don't just cause latency—they cause cluster-wide outages. Managing this volume requires moving beyond basic automation to a precision-engineered Index Lifecycle Management (ILM) strategy.
This session dives into the technical "horror stories" of scaling OpenSearch clusters to the multi-billion document range. We will explore the architectural trade-offs between storage density and search performance, the nuances of hot-warm-cold-frozen tiering, and the critical role of Data Prepper and Kafka in buffering ingestion spikes. Attendees will learn how to design a resilient ILM policy that balances cost, performance, and operational sanity.
Terraform at Scale: Managing 100+ Modules Across Teams
As infrastructure grows in complexity, so does the Terraform codebase behind it. In this talk, I’ll share our journey of scaling Terraform across multiple teams and business units, managing over 100 reusable modules in a production environment.
OpenSearchCon Europe 2026 Sessionize Event
HashiTalks: India Sessionize Event
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top