Hubble Timescape

Data and their historical context

• What did it look like last week?

  • During troubleshooting or forensics, app developers and secops have need to compare behavior of systems at different times.
  • But data are often only present for the moment, and not stored over time.
  • If long-time data aggregation is present, it is often inefficient due to missing cloud native and Kubernetes context.
  • Data lakes on their own can be overwhelming without pre-defined, helpful queries and data visualization tooling.

• Observability platform Timescape

  • Enhanced Kubernetes observability with historic network flows and auditing of network policies.
  • Time-ranged based and metadata filters with queries support for L3-L7 filters, CIDR ranges, etc
  • Historical flows, historical view integrated into the UI.
  • Scale-up/Scale-out infrastructure to meet your platforms requirements.
  • Pre-defined queries for typical operational and analsysing tasks
  • Role-Based Access Control (RBAC) support.

A time machine for observability data with powerful analytics capabilities

• User-friendly and tenant-capable access to long-term analytics.
• Simplified troubleshooting and forensics.
• Analytical value right from the start due to pre-defined queries.

Full visibility into the network flow lifecycle for your application and associated services

• Accessible in both the Hubble UI and CLI for your application owners.
• Supports Role Based Access Control.
• Enables Process events from Tetragon to be visualised in the Hubble UI.

• Managing Cilium Network Policies with Timescape || Isovalent Enterprise Platform