Query Metrics Faster & Reduce Observability Costs

Felix Roessel

Principal Solutions Architect

Elastic

Zero switching effort for your SREs.
In this on-demand session, learn how to get data volumes under control, avoid custom-metrics pricing traps, and use AI agents in a token-efficient way.

Why observability budgets are exploding right now

Cloud-native architectures, Kubernetes and AI workflows are making telemetry data grow exponentially. As a result, companies are forced into bad compromises:

• Hidden costs of custom metrics: Other vendors charge astronomical premiums for business-critical metrics.
• Dangerous blind spots: To save money, non-production environments are often ignored, which increases risk.
• Token trap from AI & LLMs: Imprecise log searches force AI agents into unnecessary LLM interactions, which makes your token costs explode.

WHAT TO EXPECT IN THE SESSION

In this session, we show you two concrete levers you can apply right away, with no rip-and-replace:

1. Metrics without the cost trap

• Full control: One fair price per GB, whether it’s a standard or custom metric.
• No host limits: Monitor 100% of your infrastructure instead of just production.
• Use your existing workflows: Query as usual with PromQL or ES|QL.

2. Efficient, AI-assisted root cause analysis (RCA)

• Index-based log search: AI agents find relevant context in seconds.
• Lower token consumption: Fewer LLM loops mean direct cost savings on AI analysis.
• Precise results: Faster troubleshooting (MTTR) through semantic search and ES|QL.

WHY YOUR SREs WILL LOVE THIS SOLUTION

Cost-optimization efforts often fail because engineering teams resist having to learn new tools. With Elastic, it’s different:

• No retraining needed: SREs keep working with their familiar PromQL queries and dashboards.
• No tool switching: Logs, metrics and spans live on a single platform.
• Lower MTTR: AI agents take over the tedious data searching, so SREs solve problems faster.

WHO IS THIS SESSION FOR?

This session is aimed at engineering teams, IT decision-makers and architects.