Reduce the cost and operational risk of production data platforms.
SAB Consulting helps engineering organizations optimize observability spend, improve Elasticsearch and OpenSearch reliability, modernize Kubernetes telemetry and prepare AI search systems for production.
When platform growth becomes a business problem
Observability and search platforms rarely become expensive or fragile because of one decision. Cost and operational risk accumulate through telemetry growth, retention defaults, high-cardinality data, architecture drift, duplicated tooling and unclear ownership.
Cost growth without cost ownership
Invoices increase, but engineering leadership cannot clearly connect the spend to teams, services, telemetry value or operational outcomes.
Reliability risk hidden by complexity
Clusters, pipelines and dashboards continue to operate, but performance degradation, capacity limits and failure modes become harder to understand.
Architecture decisions made without evidence
Teams are pushed toward optimization, contract renewal or migration before the technical and financial trade-offs have been measured.
Two ways to engage
SAB Consulting offers focused entry points for organizations facing either a cost and architecture challenge or a specific production-platform problem.
Observability Cost & Architecture Optimization
For organizations operating Datadog, Elastic, OpenSearch, Splunk, Kubernetes or multi-vendor observability environments. We identify the real cost drivers, evaluate operational value and define an evidence-based optimization, governance or migration roadmap.
Explore Observability ServicesProduction Platform Assessments
For organizations dealing with recurring incidents, search latency, unstable clusters, fragile data pipelines or an AI search system that is not ready for production. We diagnose the problem, prioritize risks and define a practical remediation plan.
Explore Platform AssessmentsSpecialist services across the platform lifecycle
Observability cost optimization
Reduce spend across Datadog, Elastic, OpenSearch and Splunk by identifying real cost drivers and aligning telemetry with operational value.
Datadog optimization
Control Datadog spend through custom metric governance, ingestion tuning, retention alignment and host-level cost attribution.
Elasticsearch and OpenSearch
Improve cluster stability, search performance and index lifecycle management across Elastic and OpenSearch deployments.
Kubernetes and OpenTelemetry
Design telemetry pipelines and Kubernetes observability that scale without uncontrolled cost growth.
Architecture and migration
Evaluate migration trade-offs with evidence and execute architecture changes that reduce risk and operational burden.
AI search and RAG reliability
Assess retrieval quality, indexing strategy and production readiness for AI search and RAG systems.
From evidence to implementation
Establish the baseline
Measure current spend, telemetry volume, cluster health and operational patterns before making recommendations.
Identify the real drivers
Separate structural cost from avoidable waste, and distinguish real reliability risk from perceived complexity.
Compare realistic options
Evaluate optimization, governance and migration paths against financial impact, operational effort and risk.
Deliver an actionable roadmap
Provide a prioritized plan with clear ownership, measurable outcomes and implementation sequencing.
Why organizations engage SAB Consulting
Evidence before tooling
Recommendations are grounded in measured data, not vendor narratives or assumed best practices. We establish the facts before proposing solutions.
Production-first recommendations
Every recommendation is evaluated against production constraints, team capacity and operational reality, not theoretical architectures.
Focused technical leadership
Engagements are led by senior practitioners with deep expertise in observability, search and production data platforms.
Designed to work with existing teams
Our approach integrates with your engineering organization, builds internal capability and ensures knowledge transfer throughout the engagement.
Recommendations are based on the client's operational, financial and architectural requirements. Optimizing the current platform is often the right answer. Migration is recommended only when the evidence supports it.
Experience shaped by enterprise production environments
Our approach is informed by hands-on work across observability, search, data and application platforms in energy, luxury, aerospace, media, telecommunications, manufacturing and public-sector environments.
Tools and technical guidance for better platform decisions
Calculators
Interactive tools to estimate observability spend, ingestion costs and optimization potential.
Case Studies
Detailed accounts of platform optimization, migration and reliability engagements.
Insights
Technical analysis of observability cost drivers, search platform patterns and data platform architecture.
Explore InsightsTurn platform complexity into a clear decision
Whether the immediate concern is observability spend, an approaching vendor renewal, an unstable search platform or an architecture decision, the first step is a structured assessment.