ENFR
Discuss your infrastructure

Technical depth

Expertise connected by production reality

The domains below are presented separately for clarity, but they are rarely independent in production. An intervention is shaped by evidence, access, business constraints and the team that will own the result.

01

Infrastructure and systems architecture

Make compute, virtualisation, containers and storage supportable through explicit dependencies, failure domains and recovery procedures.

Problems addressed

  • Legacy and modern platforms coexist without a coherent operating model
  • Virtualisation or storage failures affect too many services at once
  • Capacity, backup or recovery assumptions have not been tested
  • Container adoption has added complexity without improving operability
  • Changes depend on undocumented knowledge or manual sequences

Technical environment

  • Linux and Unix
  • Windows Server
  • VMware
  • Docker
  • Kubernetes
  • ZFS
  • TrueNAS
  • Nginx and Apache
  • MinIO

Types of intervention

  • Architecture and dependency assessment
  • Availability, capacity and failure-mode review
  • Progressive platform modernisation
  • Backup, recovery and disaster-recovery design
  • Operational documentation and knowledge transfer

Expected outcomes

  • A current-state architecture that teams can explain
  • Reduced blast radius and clearer service ownership
  • Testable recovery procedures
  • A migration path that protects production

Limits and prerequisites

  • Reliable conclusions require access to configurations, operating data and responsible teams.
  • High availability does not replace application-level resilience or tested recovery.
  • A target architecture must fit the available operating skills and budget.
02

Networks and interconnection

Design and diagnose routed networks where convergence, reachability, segmentation and external dependencies must remain predictable.

Problems addressed

  • Intermittent reachability, asymmetric paths or unstable routing
  • Large layer-two or stacked failure domains
  • BGP policy that has evolved without clear intent or safeguards
  • Fragile multi-site, multi-WAN or operator interconnections
  • Firewall and VPN complexity obscures the real traffic path

Technical environment

  • BGP
  • EVPN/VXLAN
  • Leaf-spine fabrics
  • Juniper
  • MikroTik
  • pfSense
  • IPsec
  • OpenVPN
  • Routing and traffic analysis

Types of intervention

  • Topology, routing-policy and failure-domain review
  • Packet-level incident diagnosis
  • Interconnection and resilient edge design
  • Layer-two to routed-fabric migration planning
  • Firewall, segmentation and VPN review

Expected outcomes

  • Explicit traffic paths and routing intent
  • Smaller and better understood failure domains
  • Controlled convergence and maintenance behaviour
  • A network that can be monitored and operated consistently

Limits and prerequisites

  • Diagnosis depends on representative captures, telemetry and configuration history.
  • Carrier and upstream changes remain subject to their operational processes.
  • Migration sequencing must reflect physical access and maintenance constraints.
03

Telecom, VoIP and real-time communications

Treat signalling, routing, media and endpoint behaviour as one service path—from operator interconnection to the user device.

Problems addressed

  • One-way audio, failed calls or intermittent media
  • SIP routing, number manipulation or interconnection faults
  • NAT, firewall and RTP behaviour that varies by endpoint or network
  • Overloaded or fragile call-control components
  • WebRTC or mobile push flows that fail in specific states

Technical environment

  • SIP
  • RTP and SRTP
  • VoIP
  • WebRTC
  • Asterisk
  • FreeSWITCH
  • Kamailio
  • Operator interconnection
  • Mobile push

Types of intervention

  • Call-flow, SIP trace and media-path analysis
  • Platform architecture and capacity review
  • Routing and interconnection design
  • High-availability and failure-mode assessment
  • Security, fraud-exposure and quality review

Expected outcomes

  • Traceable signalling and media decisions
  • Clearer separation of routing, policy and media functions
  • More predictable failover and troubleshooting
  • Actionable remediation based on observed call behaviour

Limits and prerequisites

  • Useful analysis requires timestamps, call identifiers, traces and access to the relevant path.
  • Quality can depend on access networks and third-party carriers outside direct control.
  • Regulatory and numbering requirements must be confirmed for each jurisdiction.
04

Databases and data platforms

Improve performance and recoverability by connecting query behaviour, data design, replication, storage and the application workload.

Problems addressed

  • Latency or load increases without an identified cause
  • Replication lag, divergence or unreliable failover
  • Clusters exist but recovery behaviour is unclear
  • Backup success is measured without proving restore capability
  • A migration must preserve availability and data integrity

Technical environment

  • MySQL
  • MariaDB Galera
  • PostgreSQL
  • Microsoft SQL Server
  • Kafka
  • ClickHouse
  • Redis
  • MinIO
  • Storage and filesystem analysis

Types of intervention

  • Workload, query and execution-plan analysis
  • Replication, clustering and failover review
  • Index and schema optimisation
  • Migration and cutover engineering
  • Backup, restore and recovery validation

Expected outcomes

  • Prioritised causes rather than undirected tuning
  • Known consistency and failover behaviour
  • Measured recovery objectives and tested procedures
  • A safer path for version, platform or topology changes

Limits and prerequisites

  • Performance work requires representative workload data and query visibility.
  • Schema or query changes may require application-owner involvement.
  • No migration should proceed without verified backups and an agreed rollback position.
05

Security and operational resilience

Reduce realistic exposure and make incidents observable, containable and recoverable without separating security from operations.

Problems addressed

  • Internet exposure and administrative access are not fully known
  • Segmentation exists on paper but is inconsistent in production
  • Logs cannot support an incident timeline
  • Hardening has been applied unevenly across inherited systems
  • Continuity plans rely on untested assumptions

Technical environment

  • Network segmentation
  • System hardening
  • Firewall policy
  • Secure remote access
  • Logging and event collection
  • Exposure analysis
  • Backup isolation
  • Recovery testing

Types of intervention

  • Exposure, access-path and trust-boundary review
  • Pragmatic hardening and segmentation plan
  • Incident timeline and contributing-factor analysis
  • Logging and detection coverage design
  • Continuity and recovery exercise preparation

Expected outcomes

  • A risk-ranked view of reachable assets and control gaps
  • Reduced lateral movement and administrative exposure
  • Evidence suitable for faster incident decisions
  • Recovery measures that have been exercised rather than assumed

Limits and prerequisites

  • This work does not replace a formal certification audit or legal advice.
  • Security depends on maintained processes, ownership and testing after the initial intervention.
  • Intrusive testing is performed only with explicit scope and authorisation.
06

Automation, observability and AI integration

Automate repeatable decisions and make systems observable before adding AI to processes that are not yet reliable or measurable.

Problems addressed

  • Teams spend time correlating disconnected alerts and manual records
  • Monitoring reports symptoms but not service impact or causality
  • Operational workflows depend on copying data between tools
  • AI initiatives lack governed inputs, measurable purpose or human review
  • Telephony and support events cannot be reused safely by business processes

Technical environment

  • OpenTelemetry
  • Sentry
  • n8n
  • APIs and webhooks
  • Event pipelines
  • Kafka
  • ClickHouse
  • AI-assisted workflows
  • Telephony integration

Types of intervention

  • Telemetry and event-model design
  • Alert quality and incident-workflow review
  • API and n8n process automation
  • Applied AI feasibility and risk assessment
  • Human-in-the-loop support and telephony integration

Expected outcomes

  • Fewer manual hand-offs and more traceable operations
  • Telemetry organised around services and decisions
  • Automation with explicit failure and fallback behaviour
  • AI use cases bounded by data quality, privacy and measurable value

Limits and prerequisites

  • Automation should follow a stable, understood process rather than conceal a broken one.
  • AI output requires appropriate human oversight and data-governance controls.
  • Third-party model or API use depends on an approved confidentiality and retention policy.

A precise first conversation

Your infrastructure does not need another layer of complexity. It needs clarity.

Describe the system, incident, migration or architectural problem you are facing. Ironitia will determine whether and how it can help.

Discuss your infrastructure