Technologies
Observability & operations
Telemetry design, SLO programs, incident command, and cost-aware observability—so leaders see reliability the same way engineering does.
SLO
programs tied to journeys—not vanity metrics
MTTR
reduction via runbooks & ownership clarity
OTel
vendor-neutral instrumentation standards
SIEM
detection content with stable schemas
Platform depth we deploy in production
Representative stacks and patterns from active programs—always tailored to your control framework and economics, never copy-pasted from a generic bill of materials.
Datadog · Dynatrace · New Relic
APM, RUM, synthetic checks, unified executive views
Splunk · Elastic · Chronicle
SIEM correlation, SOAR playbooks, detection content
Prometheus · Grafana · Thanos
Metrics at scale, long-term retention, HA pairs
OpenTelemetry
Vendor-neutral instrumentation standards across stacks
PagerDuty · Opsgenie · ServiceNow
On-call, major incident process, postmortems
Cilium · eBPF
Network observability, runtime security signals
How we work in this domain
Observability is how executives and engineers agree on what “good” looks like in production. We design telemetry, SLOs, and incident processes so reliability investments map to customer journeys and financial outcomes.
Telemetry design before vendor consolidation
Standardizing on OpenTelemetry avoids lock-in while still feeding commercial APM. We define cardinality budgets, sampling strategies, and naming conventions that survive multi-year estates.
Business context—tenant, journey step, revenue segment—is attached consistently so incidents can be triaged with customer impact in minutes.
Executive views that engineers do not distrust
Dashboards for leadership aggregate SLO burn, customer-impacting incidents, and remediation investments without hiding uncomfortable trends.
Synthetic checks and RUM complement server-side metrics so blind spots at the edge are visible.
Security operations telemetry alignment
Splunk, Elastic, and Chronicle pipelines share correlation IDs with application traces where investigations benefit—without violating least privilege.
Detection engineers receive structured logs with stable schemas so content development accelerates.
Cost-aware observability
Log volume and high-cardinality metrics can exceed production infrastructure cost. We implement tiering, tail sampling, and retention policies aligned to regulatory needs and investigation reality.
Chargeback or showback models make team-level accountability possible.
PagerDuty / Opsgenie
On-call health metrics and escalation policies.
ServiceNow
CMDB accuracy programs tied to incident workflows.
eBPF / Cilium
Network observability for Kubernetes estates.
Postmortems
Blameless culture with action item tracking to completion.