vRealize Network Insight

Begin by connecting your environments—data centers, public clouds, and virtual overlays—then let the platform ingest flows, configs, and metrics from sources like hypervisors, gateways, and cloud accounts. Use the built-in app discovery to group VMs and services automatically, then refine with tags and naming you already use. Create role-based dashboards that focus on the services you own: show uptime by tier, latency and packet loss by path, and capacity by site. Establish service targets for response time and availability, and set thresholds that trigger proactive alerts. Build baselines by hour and day so you know what “normal” looks like before you make changes or approve releases.

For segmentation work, start with flow exploration. Pick an application, view who talks to it, and break dependencies down by source, destination, and port. From there, auto-generate proposed allow rules, simulate the blast radius of blocking specific flows, and export ready-to-implement policy for your firewall or software-defined networking platform. Stage the rollout: move non-critical tiers first, monitor for rejected flows, then tighten policies for production. Use change windows with pre- and post-checks that confirm the same user-to-app paths work after each step, and capture evidence for audits directly from the policy comparison views.

Planning a migration? Map end-to-end dependencies for each workload so you can lift related services together. Identify shared services (DNS, logging, identity) that must move or be reachable from the new location. Estimate throughput needs using historical bandwidth and peak patterns, then verify that target links and security controls can handle the load. Pre-validate IP plans by checking overlaps and name resolution. Run a path test to see how latency will change across regions, and simulate ACL and route changes before cutover. During execution, track live health, error rates, and user path success; if thresholds breach, roll back with a single click and keep a timestamped trail for the migration report.

When incidents occur, pivot to time-based analysis. Compare the last known good window to the failure window, correlate traffic spikes with configuration changes, and trace the path from the affected user to the app—on-prem or in the cloud. Drill into server health to confirm whether the problem is compute, memory, I/O, or the network. Use real-time analytics to spot anomalies as data arrives, and launch diagnostics to validate DNS, IP, and gateway behavior. Generate quick web traffic summaries for stakeholders, and export SLA reports to your ticket. Schedule weekly capacity reports to predict saturation before it disrupts service, and send alerts to Slack, Teams, or your ITSM so the right team jumps in immediately.