Pipeline architecture for security and platform teams
We design and implement Cribl-based observability pipelines that give enterprise teams control over ingest costs, data governance, and platform transitions without disrupting existing operations.
The challenges enterprise teams face
Security and platform engineering teams face cost, compliance, and architectural challenges that compound as data volumes grow and platform landscapes shift.
Ingest Cost Escalation
SIEM and APM costs scale with data volume. Renewal uplift compounds annually. Architecture decisions get driven by budget pressure instead of security requirements.
Platform Migration Pressure
Vendor acquisitions, product sunsets, and forced UI migrations create deadline-driven platform transitions with high risk and long timelines.
Compliance Complexity
PII, PHI, and regulated data flows through telemetry pipelines. Multi-jurisdiction requirements demand classification and routing controls at scale.
Data Volume Growth
Cloud-native infrastructure, AI workloads, and expanded compliance mandates drive 50% year-over-year telemetry growth. Current architectures were not designed for this scale.
How we work
The same phased engagement model we use for MSPs, adapted for single-organization environments. Prove value first, then scale.
Proof of Value
Assess your environment, identify the data sources with the highest cost and lowest analytical value, and implement Cribl routing for one source to demonstrate measurable reduction.
- Environment assessment with volume breakdown by source type
- Architecture design for the highest-impact data source
- Production pilot with measurable cost and performance validation
System-Wide Architecture
Full inventory of data sources, destinations, cost models, and compliance requirements. Deliver a tiering blueprint that maps every source to the right destination tier.
- Complete data source and destination inventory
- Cost modeling across all SIEM and APM platforms
- Data tiering and routing architecture blueprint
- Compliance routing and retention design
Implementation
Deploy routing rules, enrichment pipelines, schema normalization, and replay architectures across all targeted data sources with parallel validation.
- Multi-source routing and enrichment deployment
- Schema normalization to platform-native formats
- Replay architecture for investigation and compliance
- Parallel validation and structured cutover
Ongoing Advisory and Optimization
Quarterly reviews to tune routing rules, adapt to new data sources, track cost targets, and evolve the pipeline architecture as your environment changes.
- Quarterly pipeline performance and cost reviews
- Routing rule adaptation for new sources
- Architecture guidance for platform changes and migrations
Explore by use case
Ready to modernize your pipeline architecture?
Let's discuss how a Cribl-based pipeline can address your cost, compliance, and platform challenges.
Schedule a Discovery Call