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C1000-189
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C1000 189 Instana Administrator

The course teaches administrators how to install, configure, and optimize IBM Instana Observability v1.0.277, covering APM, analytics, Kubernetes, cloud integration, and ongoing administration to ensure reliable, high‑performance monitoring.

90
Minutes
62
Questions
62/100
Passing Score
$200
Exam Cost

Who Should Take This

It is designed for IT professionals who serve as system or site reliability engineers, senior DevOps specialists, or application performance managers with at least two years of experience managing enterprise‑scale services. Learners aim to deepen strategic insight into observability, automate performance tuning, and align monitoring with business objectives.

What's Covered

1 Domain 1: Installation
2 Domain 2: APM
3 Domain 3: Analytics
4 Domain 4: Kubernetes and Cloud
5 Domain 5: Administration
6 Domain 6: API and Automation

What's Included in AccelaStudy® AI

Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats

Course Outline

62 learning goals
1 Domain 1: Installation
3 topics

Backend

  • Configure Instana backend on Kubernetes with Helm charts and operator management.
  • Configure Instana application perspectives with service and endpoint filters to organize monitored services into logical business views.
  • Configure backend HA with multi-zone deployment, replication, and automated failover.
  • Design Instana monitoring architecture with agent deployment strategies, application perspectives, and alert channel configuration.

Agent

  • Configure host agents with automatic sensor discovery, monitoring, and JVM instrumentation.
  • Implement agent deployment with DaemonSets on K8s, packages on Linux, MSI on Windows.
  • Configure agent zones, tags, and custom configuration for logical organization.
  • Analyze agent connectivity to diagnose registration failures and data issues.

Agent Deployment

  • Implement Instana agent deployment using DaemonSet on Kubernetes with host and container monitoring.
  • Configure agent zone tagging and custom metadata for logical grouping of monitored infrastructure.
  • Analyze agent health metrics to diagnose connectivity issues and data collection gaps.
2 Domain 2: APM
3 topics

Tracing

  • Configure distributed tracing with auto-instrumentation for Java, Node.js, Python, Go, .NET.
  • Configure custom dashboard widgets with metric queries, threshold indicators, and time range selectors for operational visibility.
  • Configure trace grouping, service mapping, and endpoint detection for topology discovery.
  • Analyze traces to identify latency bottlenecks, error paths, and dependency impacts.

Perspectives

  • Implement distributed trace analysis using Instana trace view to identify latency bottlenecks across microservice call chains.
  • Implement custom dashboards with metric widgets, maps, and dependency visualizations.
  • Analyze trace waterfall diagrams to identify slow database queries, external service timeouts, and serialization overhead in distributed systems.
  • Design monitoring strategies with perspectives, SLOs, and alerts aligned to business goals.

Infrastructure

  • Configure infrastructure monitoring for containers, K8s, databases, messaging, and cloud.
  • Implement custom metrics with StatsD, Prometheus, and JMX for app-specific KPIs.
  • Analyze infrastructure metrics correlation with application performance to identify host-level resource constraints affecting service health.
3 Domain 3: Analytics
3 topics

Unbounded Analytics

  • Configure Analytics with unbounded queries for metrics, traces, and events exploration.
  • Implement custom aggregation with GROUP BY, filtering, and time-series visualization.
  • Configure website and mobile monitoring with JS injection and end-user tracking.
  • Design alerting strategies with tiered severity levels, intelligent grouping, and escalation policies for enterprise monitoring operations.

Alerting

  • Configure alert channels with email, Slack, PagerDuty, ServiceNow, and webhooks.
  • Implement alert policies with event filters, severity classification, and escalation.
  • Analyze alert noise patterns to tune event filtering rules and reduce mean time to detect actionable production incidents.
  • Design alerting with tiered severity, on-call routing, and automated incident creation.

Events

  • Configure event processing with built-in and custom types for health state changes.
  • Implement incident correlation using AI to group events and identify root cause.
  • Analyze incident resolution patterns to improve MTTD and MTTR metrics.
4 Domain 4: Kubernetes and Cloud
3 topics

Kubernetes

  • Configure K8s cluster monitoring with pod, node, deployment, and service metrics.
  • Implement K8s event correlation linking pod failures to application impacts.
  • Configure container resource monitoring with CPU, memory, network, and storage tracking.
  • Analyze cluster performance to identify contention, scheduling, and scaling needs.

Cloud

  • Configure cloud service monitoring for AWS, Azure, GCP with API-based collection.
  • Implement serverless monitoring for Lambda, Azure Functions, and Cloud Functions.
  • Design multi-cloud observability combining host, container, serverless, and managed services.

Custom Metrics and Events

  • Implement custom metric collection using Instana agent sensors and StatsD protocol for application KPIs.
  • Configure custom event definitions with threshold rules, trend detection, and anomaly sensitivity.
  • Analyze custom metric patterns to establish meaningful baselines and alert thresholds.
5 Domain 5: Administration
3 topics

RBAC

  • Implement role-based access control in Instana with team-based permissions, API token scoping, and application-level visibility restrictions.
  • Implement SSO with SAML and OIDC providers for enterprise authentication.
  • Analyze access control effectiveness to identify overprivileged accounts and implement least-privilege monitoring access policies.

Operations

  • Configure backend maintenance with retention policies, storage, and backup procedures.
  • Implement upgrade procedures for backend and agents with rolling updates.
  • Analyze backend performance to optimize queries, storage, and ingestion throughput.

Release Tracking

  • Implement release marker configuration for correlating application deployments with performance changes.
  • Configure SLO definitions with error budget tracking and burn rate alerting for service reliability.
  • Analyze release impact using before-and-after performance comparison with automated regression detection.
6 Domain 6: API and Automation
3 topics

API

  • Configure REST API for programmatic access to metrics, traces, and configuration.
  • Implement IaC for Instana configuration using Terraform provider and API scripts.
  • Configure synthetic monitoring with API checks and browser tests from distributed locations.
  • Analyze API usage to recommend automation for monitoring configuration management.

Integration

  • Configure Instana integration with IBM AIOps for event forwarding and correlation.
  • Configure Instana agent auto-update policies with version pinning, staged rollout, and rollback procedures for production environments.
  • Analyze agent version compatibility with monitored technology stacks to plan coordinated updates across infrastructure components.

API Monitoring

  • Implement API endpoint monitoring with latency tracking, error rate analysis, and throughput measurement.
  • Analyze API dependency maps to identify critical path services and single points of failure.
  • Design API monitoring strategies combining synthetic checks with real user monitoring for coverage.

Scope

Included Topics

  • All domains of IBM Instana v1.0.277 Administrator Professional (C1000-189).
  • Instana: auto-instrumentation, distributed tracing, infrastructure monitoring, smart alerts.
  • APM: service mapping, SLI/SLO, custom dashboards, website monitoring.
  • Infrastructure: host, container, Kubernetes, cloud, databases, messaging.

Not Covered

  • Non-IBM APM tools.
  • App development.
  • Deep K8s admin.
  • Data science.

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