ZioSet Insights · Multi-Cloud Observability
Monitor every cloud.Understand every signal.
A modern multi-cloud monitoring and observability platform for AWS, Azure, GCP, Kubernetes, and DevOps integrations—from infrastructure and APM to FinOps, security visibility, and SLA dashboards.
Clusters
48
Services
312
Active alerts
12
SLO compliance
99.2%
Clouds connected
3+
AWS · Azure · GCP
Telemetry types
4
Metrics · Logs · Traces · Events
MTTR reduction
40%
Avg. across deployments
Cost savings
25%
FinOps recommendations
Platform capabilities
Everything ops teams need in one observability stack
From infrastructure health and application traces to incident response, FinOps, and compliance—built for modern multi-cloud and Kubernetes estates.
Infrastructure Monitoring
Unified visibility across compute, storage, network, and cloud-native services in AWS, Azure, and GCP.
Application Performance Monitoring
Distributed tracing, service maps, latency breakdowns, and error budgets for microservices and monoliths.
Log Management
Centralized log ingestion, search, parsing, and correlation with metrics and traces for faster triage.
Alerts & Incident Management
Smart alerting, on-call routing, runbooks, and automated incident workflows integrated with your stack.
Billing & FinOps Dashboards
Cloud spend visibility by team, project, and environment with chargeback-ready reporting.
Cost Optimization Recommendations
AI-assisted rightsizing, idle resource detection, reserved-instance insights, and waste elimination.
CI/CD & DevOps Integrations
Connect pipelines, deployments, and release events to observability for change-aware troubleshooting.
Cloud Security & Compliance
Posture monitoring, policy drift detection, and compliance dashboards across multi-cloud estates.
Auto Discovery & Topology Mapping
Continuous discovery of services, dependencies, and infrastructure relationships with live topology views.
SLA & Uptime Dashboards
SLO/SLA tracking, error budgets, uptime reporting, and executive-ready reliability scorecards.
Real-world use cases
Built for how your teams actually operate
From war rooms and releases to FinOps reviews and compliance audits—one platform supports every workflow.
Incident response & war rooms
Correlate spikes in errors, latency, and logs with recent deploys. Route context-rich alerts to Slack, PagerDuty, or ITSM in one workflow.
Release & deployment validation
Tie CI/CD events to golden signals. Compare canary vs production, catch regressions before they breach SLOs, and roll back with confidence.
FinOps & cloud cost reviews
Align spend with utilization and service ownership. Surface rightsizing, idle resources, and anomaly spend with team-level chargeback views.
Compliance & security posture
Track policy drift, encryption coverage, and audit-ready evidence across AWS, Azure, GCP, and Kubernetes estates from one dashboard.
End-to-end pipeline
Eight layers from cloud to insight
Click any layer to explore how telemetry flows from multi-cloud sources through streaming, storage, analytics, alerting, and executive dashboards.
Reference architecture
End-to-end observability pipeline — from cloud signals to actionable insights.
Four pillars of observability
Metrics, logs, traces & events—unified
The same signals your architecture diagram describes, correlated in one timeline instead of four disconnected tools.
Metrics
Time-series health for infra, apps, and business KPIs—aggregated, labeled, and SLO-ready.
- →CPU · memory · disk
- →Request rate & latency
- →Custom business metrics
Logs
Structured and unstructured logs with fast search, parsing, and cross-linking to traces and metrics.
- →App & platform logs
- →Audit & security events
- →Log-based alerting
Traces
End-to-end distributed tracing across services, APIs, and async jobs for latency and error analysis.
- →Service maps
- →Span-level drill-down
- →Dependency latency
Events
Deployments, config changes, scaling actions, and external signals enriched into the observability timeline.
- →Deploy markers
- →K8s events
- →Change correlation
DevOps & ecosystem
CI/CD-aware observability
Tie deployments, pipelines, and change events to live telemetry so teams know what changed—and what broke—within minutes, not hours.
- Jenkins · GitHub Actions · GitLab CI · Azure DevOps
- Terraform · Ansible · Helm · Argo CD
- PagerDuty · Opsgenie · Slack · Microsoft Teams
- Jira · ServiceNow · ITSM & incident platforms
- Prometheus · Grafana · Datadog · Splunk adapters
- Kubernetes · SDK Collectors · Kafka · cloud-native stack
Rollout in five phases
- 1Connect cloud accounts and Kubernetes clusters
- 2Deploy collectors and streaming ingestion
- 3Map services, dependencies, and SLOs
- 4Configure alerting, incidents, and integrations
- 5Enable FinOps, AI insights, and executive dashboards
Built for your teams
Every stakeholder, one observability story
Role-specific views without siloed tools—SRE, DevOps, FinOps, security, and leadership all work from correlated context.
SRE & Platform Engineering
Reliability, SLOs, and incident velocity
- Error budgets & burn-rate alerts
- Topology-aware triage
- Post-incident timelines
DevOps & Release Engineering
Pipelines, deployments, and change safety
- CI/CD event correlation
- Canary & rollout monitoring
- Automated rollback signals
FinOps & Cloud Economics
Spend visibility and optimization
- Team & project chargeback
- Rightsizing recommendations
- Budget vs actual tracking
Security & Compliance
Posture, policy, and audit readiness
- Multi-cloud compliance dashboards
- Drift & misconfiguration alerts
- Evidence for audits
Leadership & Operations
Uptime, cost, and risk at a glance
- Executive SLA scorecards
- Unified health summaries
- Exportable reports
Outcomes that matter to engineering and finance
One pane for hybrid estates
Stop switching between cloud consoles. Operate AWS, Azure, GCP, and on-prem from a single observability control plane.
Faster root-cause resolution
Correlate metrics, logs, and traces with deployment events and topology context to cut investigation time.
Reliability you can prove
SLO dashboards, uptime reporting, and incident timelines give engineering and leadership shared truth.
Spend aligned with usage
FinOps views tie cost to services and teams, with actionable recommendations—not just monthly invoices.
Why one platform
Stop juggling siloed observability tools
Fragmented stack
- ✕Separate tools for metrics, logs, traces, and billing
- ✕Manual correlation across tabs and consoles
- ✕Incidents without deployment or cost context
- ✕Siloed dashboards per cloud provider
ZioSet unified plane
- One pipeline from cloud signal to insight
- Correlated metrics, logs, traces, and events
- Incidents linked to changes, topology, and spend
- AWS, Azure, GCP, and Kubernetes in one plane
Trust & governance
Enterprise-ready from day one
Role-based access
Granular permissions per team and environment
Audit trails
Tamper-evident logs for compliance reviews
Encryption in transit
TLS for collectors, APIs, and exports
Integration-first
Works with your existing stack—no rip-and-replace
Common questions
Does this replace our existing observability tools?
No. The platform is integration-first—ingest from SDK collectors, Prometheus, Fluent Bit, and popular backends while unifying context in one experience.
Can we start with one cloud and expand?
Yes. Most teams begin with a single provider or Kubernetes estate, then expand to full multi-cloud coverage without re-architecting.
How does FinOps connect to monitoring?
Cost signals are correlated with utilization, services, and teams—so optimization recommendations are grounded in real telemetry, not static reports.
How long does a typical rollout take?
Pilots often go live in days with a single cloud or cluster. Full multi-cloud programs typically roll out in phased waves over a few weeks.
Ready to unify multi-cloud observability?
Bring infrastructure, APM, logs, incidents, FinOps, and SLA reporting into one platform designed for AWS, Azure, GCP, and Kubernetes.