Empower Your Platform Team with In-Depth, Hands-On OpenSearch Training

As OpenSearch adoption grows across industries, organizations are increasingly managing self-hosted OpenSearch clusters in containerized or traditional environments. To help teams unlock the full potential of OpenSearch — from core operations to machine learning — we’re excited to announce the launch of the O11yAI OpenSearch Operations Training Program.

This live, instructor-led training is tailored for DevOps engineers, SREs, and platform teams running OpenSearch in production, especially those working with local clusters, containerized deployments, or transitioning away from managed services.

Two-Level Program Structure for Progressive Mastery

Level 1: Core OpenSearch Concepts

This foundational course is perfect for teams new to OpenSearch or migrating to self-managed setups. It covers:

• OpenSearch architecture and indexing strategies

• Cluster setup (standalone, containerized, or hybrid)

• Scaling and performance fundamentals

• Secure deployments and role-based access control (RBAC)

Whether your team is running OpenSearch in Docker containers or on bare metal, this level equips you with a strong operational foundation.

Level 2: Performance, Scaling & Machine Learning

For teams ready to push OpenSearch further, this advanced course dives into:

• Advanced query tuning and optimization

• High-availability and auto-scaling techniques

• Detailed RBAC configurations for compliance

• Integrating OpenSearch’s machine learning features (e.g., anomaly detection, time series forecasting)

This level is ideal for teams seeking database mastery, including real-world ML use cases and performance tuning at scale.

What Makes This Training Different

Many teams using OpenSearch in production — especially at large enterprises — are looking for more than theory. That’s why O11yAI’s approach is:

• Hands-on: Live labs mirror real-world challenges in containerized and classic deployments

• Flexible: Customized modules based on your cluster architecture and team maturity

• Future-facing: We cover not just operations but also machine learning integration, aligning with where observability is headed

Plus, our trainers are practitioners who manage OpenSearch clusters in real environments — no fluff, just real answers to real problems.

Custom Support & Ongoing Enablement

We offer tailored training packages and post-course support options, including:

• Slack-based technical support

• Custom consulting on architecture, scaling, and performance

• Follow-up sessions as your team scales adoption

Why Teams Are Investing in OpenSearch Training Now

As OpenSearch becomes the go-to open-source alternative to Elasticsearch, especially in cost-sensitive or air-gapped environments, organizations are:

• Moving to self-managed observability stacks

• Deploying local OpenSearch clusters in CI/CD pipelines or containers

• Seeking greater control over search, analytics, and ML use cases

If your team is exploring any of these areas, the time to invest in internal capability building is now.

This shift reflects a broader industry trend, where platform teams and SREs are becoming increasingly strategic in shaping how observability is implemented and scaled — as explored in this post on the evolving role of SREs.

Ready to Train Your Team?

To learn more or customize your team’s training experience, visit the OpenSearch Operations Training Program page.