We collect metrics, logs and traces into a single observable model with a focus on business-critical user scenarios.
We build observability of services and infrastructure so that incidents are detected and eliminated before they impact business processes.
We translate search wording into architecture scope, integration contour, roadmap and engineering delivery.
We collect metrics, logs and traces into a single observable model with a focus on business-critical user scenarios.
We configure SLI/SLO, alerting and response regulations to reduce MTTR and keep SLA within predicted limits.
Before development or audit, we document the business goal, scope, risk map, ownership, acceptance criteria and production readiness. The project becomes a controlled investment contour, not a scattered task list.
We review goals, constraints, dependencies, integrations, data, security baseline and cost of inaction before development starts.
Build audit scopeWhen uncertainty is high, we run a short PoC and define acceptance criteria, backlog, dependencies and implementation roadmap.
Defend roadmapWe prepare quality gates, rollback, monitoring, migration checklist, runbook and safe production entry criteria.
View deliveryWe transfer ownership through documentation, runbook, service ownership, SLA/SLO, incident response and a post-launch improvement plan.
Discuss ownershipFor a commercial decision, we collect inputs upfront and connect scope with TCO, cost of inaction, SLA/SLO, infrastructure and a clear CEO/CTO next step.
We capture the business goal, current system, users, data, integrations, constraints, deadline, security baseline and SLA/SLO requirements.
Collect inputsWe split discovery, PoC, development, migration, support, infrastructure and downtime risks so the budget is defensible, not guessed.
Defend budgetThe output captures scope, risk map, roadmap, acceptance criteria, owners, production readiness and the next safe project step.
Get the briefWe connect the business signal, technical inputs, decision and verifiable artifact. This helps clarify scope, budget, risk map, ownership and production readiness quickly.
| Signal | Inputs to send | Decision | Artifact |
|---|---|---|---|
| Need to understand risk and budget: monitoring, SRE and observability | Business goal, current system, users, integrations, data, constraints, deadline, SLA/SLO, RPO/RTO and security baseline. | Where discovery, PoC, architecture audit, delivery control or full engineering is needed. | Commercial decision brief: scope, TCO, cost of inaction, risk map and next safe step. |
| Architecture, integration or ownership uncertainty exists | Domain model, service contracts, APIs, queues, data flows, legacy zones, release process, incident history and service owners. | What to change first: module boundaries, API contracts, data ownership, infrastructure, monitoring or release gates. | Target architecture, dependency map, ownership matrix, backlog and phased roadmap without a big bang. |
| Safe production delivery is needed | Backlog, environments, CI/CD, migration plan, rollback, monitoring, runbook, support rules and acceptance criteria. | Which release gates block launch, where rollback is needed and who owns production risk. | Production readiness report, release checklist, rollback criteria, runbook and support ownership. |
| A provable outcome is needed, not just development | Business KPI, production metrics, incident rate, latency, error budget, lead time, defect rate, support cost and ownership boundaries. | Which metric proves value: release speed, incident reduction, recovery time, data quality or cost of ownership. | Proof pack: problem, risk, owner, artifact and measurable production outcome. |
SO-TECH runs monitoring, SRE and observability from Moscow and remotely: we lock the business goal, scope, SLA/SLO, RPO/RTO, integration constraints, ownership, budget and the next safe step.
The legal and communication center is in Moscow; discovery, review, delivery and support can run remotely with clear communication slots and owners.
Before estimation we connect scope with a risk map, acceptance criteria, service ownership, incident response, security baseline, release gates and support rules.
Describe the goal, current system, users, integrations, data, workload, deadline, constraints, security requirements and preferred support format.
Send requestWe set up production control so the business sees service health, SLA/SLO, incidents, response owners and recovery plan.
We define critical signals for APIs, queues, databases, infrastructure and user journeys.
We fix severity, escalation path, response owners, notification channels and noisy alert suppression rules.
We deliver runbook, dashboards, availability goals, postmortem rules and a reliability engineering improvement backlog.
For every service we capture the signal, incident risk, dashboard/runbook artifact, response owner and metrics: MTTA, MTTR, error budget burn and incident rate.
The contour includes metrics, logs, traces, SLI, SLA/SLO, alerts, incident response, on-call rules, runbook, dashboard, postmortem and reliability backlog.
The budget depends on scope, integration count, legacy code quality, SLA/SLO, RPO/RTO, security requirements, documentation depth and support format. Before estimation we lock scope, risks and acceptance criteria so the budget is defendable.
Prepare the business goal, current system description, integration list, workload data, incident history, team roles, deadlines and constraints. If artifacts are missing, we start with discovery, a risk map and a prioritized backlog.
Choose this SoftTech track when the main risk is in software, integrations, architecture or delivery. If the primary risk is capacity, fault tolerance, operations, infrastructure cost or server ownership, we connect the server catalog and technical audit track.