SoftTech / Monitoring

Monitoring

We build observability of services and infrastructure so that incidents are detected and eliminated before they impact business processes.

Metrics + Logs + Traces SLI/SLO Incident response

Which search requests this SoftTech section matches

We translate search wording into architecture scope, integration contour, roadmap and engineering delivery.

Reliability loop

Real-time monitoring of services and infrastructure
Observability-first

We collect metrics, logs and traces into a single observable model with a focus on business-critical user scenarios.

Incident management and SLI/SLO indicators
Incident response

We configure SLI/SLO, alerting and response regulations to reduce MTTR and keep SLA within predicted limits.

What we do

  • We create observability using metrics, logs and traces.
  • We configure alerting and response procedures.
  • We control business-critical scenarios 24/7.

Operational effects

Reduced MTTR We speed up diagnostics and restoration of services in the event of incidents.
SLA transparency Reliability metrics are visible to business and technical teams.
Prevention of degradation Early signals allow you to act before critical failures.

How to choose a SoftTech project format and defend the budget

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.

How to estimate a SoftTech project before launch

For 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.

Input and outcome matrix: monitoring, SRE and observability

We 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 scope TCO risk map 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 architecture ownership roadmap 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 release gates rollback runbook 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 proof pack metrics outcome 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.

Geography, SLA and request route for monitoring, SRE and observability

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.

Moscow / Remote

Team and communication: monitoring, SRE and observability

The legal and communication center is in Moscow; discovery, review, delivery and support can run remotely with clear communication slots and owners.

SLA / Ownership

How we document SLA/SLO, risks and ownership

Before estimation we connect scope with a risk map, acceptance criteria, service ownership, incident response, security baseline, release gates and support rules.

Monitoring, observability and SRE artifacts

We set up production control so the business sees service health, SLA/SLO, incidents, response owners and recovery plan.

01 / Signals

Metrics, logs, traces and SLI

We define critical signals for APIs, queues, databases, infrastructure and user journeys.

02 / Response

Incident response, alerts and on-call rules

We fix severity, escalation path, response owners, notification channels and noisy alert suppression rules.

03 / Reliability

SLA/SLO, runbook and reliability backlog

We deliver runbook, dashboards, availability goals, postmortem rules and a reliability engineering improvement backlog.

04 / Proof

Observability proof: signal, owner and reliability outcome

For every service we capture the signal, incident risk, dashboard/runbook artifact, response owner and metrics: MTTA, MTTR, error budget burn and incident rate.

Design an observability contour

FAQ

What is included in this service area?
  • We create observability using metrics, logs and traces.
  • We configure alerting and response procedures.
  • We control business-critical scenarios 24/7.
What result will we get?
  • Reduced MTTR
  • We speed up diagnostics and restoration of services in the event of incidents.
  • SLA transparency
  • Reliability metrics are visible to business and technical teams.
  • Prevention of degradation
  • Early signals allow you to act before critical failures.
What is included in a production monitoring and observability contour?

The contour includes metrics, logs, traces, SLI, SLA/SLO, alerts, incident response, on-call rules, runbook, dashboard, postmortem and reliability backlog.

How much does a project in the "production monitoring and observability" track cost and what drives the budget?

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.

What should be prepared to estimate the "production monitoring and observability" track?

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.

When should you choose the "production monitoring and observability" track versus an audit or server track?

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.

Do you need an audit, an architectural session or a dedicated SoftTech team?
We connect at the stage of discovery, design and production launch.
Contact us