AmrudAiAI IT OBSERVABILITY
SOLUTIONS

Observe the enterprise across domains — without creating more silos.

AmrudAi’s coverage direction spans network, infrastructure, cloud, Kubernetes, data platforms, applications, services, SaaS, backup and operational governance.

AmrudAiUnified operational graph⌁NetworkPath · Flow · NCM · IPAM▦InfrastructureServers · VM · Storage☁CloudAWS · Azure · GCP · K8s◉DataSQL · NoSQL · Streaming▤ServicesAPI · DNS · Synthetics⚙OperationsIncident · SLA · Change
NETWORK

Network observability with path, protocol and topology context.

Coverage targets include routers, switches, WLAN, firewalls, load balancers, SD-WAN, DNS/DHCP, flow/NTA, NCM, IPAM, path analysis and topology.

  • SNMP v1/v2c/v3, traps and informs
  • ICMP and traceroute / path evidence
  • NetFlow, IPFIX and sFlow
  • Syslog and event evidence
  • NETCONF, RESTCONF and gNMI/gRPC targets
  • BGP, OSPF, IS-IS, MPLS, VXLAN/EVPN, VRF, redundancy and QoS subject to Pack/vendor evidence
SNMPv3ICMPNetFlowIPFIXsFlowSyslogNETCONFRESTCONFgNMIBGPOSPFSD-WANWLANNCMIPAM
Windows / Linux / UnixProcesses & ServicesVirtualizationStorage & SANHardware / Out-of-band
INFRASTRUCTURE

More than CPU, memory and disk.

Server monitoring is designed to include resource pressure, filesystems/inodes, block I/O, network quality, process/service state, OS evidence and hardware signals where safely available.

  • Agent and agentless paths tracked independently
  • SSH and WinRM/WMI/CIM targets
  • CPU scheduler / load / pressure
  • Memory / swap / paging and exhaustion evidence
  • Filesystem, inode and block-I/O quality
  • Service state, Top-N process and operational log evidence
CLOUD & CONTAINERS

Normalize cloud-native estates into one operational graph.

Vendor-specific resources map into platform-owned identity, state and dependency contracts.

Public cloud

AWS, Azure, GCP and OCI coverage targets through governed connectors.

Kubernetes

Cluster, node, namespace, workload, pod, container, service, ingress and persistent-volume entities.

Runtime dependencies

Ingress → service → workload → pod → node plus database/cache/queue/external API edges where evidence exists.

OpenTelemetry

Metrics and logs in initial scope with trace-ready architecture; no full bytecode APM claim initially.

DATABASES & DATA

Health, workload and capacity evidence across data platforms.

Relational targetsOracleSQL ServerPostgreSQLMySQL / MariaDBDb2SAP HANA
Data-platform targetsMongoDBCassandraRedis / ValkeyElasticsearch / OpenSearchKafkaClickHouse
L3 directionsGrowth riskReplication lagLocks / session pressureQuery workloadShard imbalanceCapacity risk
OTHER ENTERPRISE DOMAINS

Beyond the traditional NMS boundary.

Applications & Middleware

JMX/metrics/API/log based coverage targets for common enterprise middleware without claiming full bytecode APM.

Synthetics

ICMP, TCP, DNS, HTTP/HTTPS, API and TLS checks with service context.

SaaS

Provider API health, quotas, throttling, authentication and service KPIs where exposed.

Backup & Data Protection

Job state, repository capacity, RPO evidence, replication and restore-test evidence where available.

Batch / Scheduled Jobs

SUCCESS, FAILED, MISSED, STUCK, LATE and RUNNING semantics across schedulers.

EUC / VDI direction

Operational experience signals with explicit privacy and anti-surveillance boundaries.