The latest VirtualMetric DataStream release brings a significant step forward in platform observability and deployment flexibility. Version 1.9.0 gives security and infrastructure teams direct visibility into what’s happening across their pipelines in real time while expanding support for cloud-native environments and broadening connectivity options.
Here’s what’s new.
New features
Real-time visibility across your entire pipeline
Until now, diagnosing issues in DataStream meant relying on historical log data. That changes with this release.
Live Data is now available across Directors, Clusters, Devices, Targets, Advanced Routes, and the Pipeline Debugger. Teams can monitor activity and diagnose issues as they happen, without waiting for logs to accumulate or switching between tools.
Directors and Clusters now also expose live Console Logs directly in the interface, giving real-time visibility into service-level operations and diagnostics from the same place you manage your configuration.
To make this even more accessible, a new Log Stream column has been added to Device, Target, Director, and Cluster table views. It surfaces a 150-minute rolling log stream directly from the list view, so you can get to the information you need without navigating into individual configuration pages.
Together, these capabilities give your team a much clearer picture of what’s flowing through DataStream at any given moment.
Orchestrated Director for cloud-native environments
DataStream now supports a new Director type designed for auto-scaling cloud environments: the Orchestrated Director.
In elastic and containerized deployments, infrastructure instances are automatically managed, scaled, and replaced by the platform. The Orchestrated Director is built for exactly this scenario; it handles dynamic infrastructure where traditional Director lifecycle management is controlled externally, enabling seamless operation without manual intervention.
For teams running Director in Azure Scale Sets or other orchestrated environments, this removes a meaningful operational gap.
Improvements
New device integrations
This release adds four new device integrations, expanding the range of sources DataStream can ingest from:
- WEC (Windows Event Collector) — centralized Windows event forwarding, extending DataStream’s strong Microsoft ecosystem support
- Apache Kafka — for ingesting streaming event data from Kafka topics
- NATS — for high-performance message collection from NATS messaging systems
- CCF — device integration for CCF environments
Syslog and TCP regex support
Syslog and TCP device configurations now support regex filtering, giving teams pattern-based control over which logs are collected. This means more precise ingestion from these sources and less noise entering the pipeline from the start.
These are the highlights – the full release also includes a range of platform improvements covering connection status transparency, cluster networking, notification consistency, and more.
Looking ahead
This release focuses on giving teams better visibility and more deployment flexibility. In upcoming releases, we’ll continue expanding integrations and refining the platform experience.
For the full list of changes, see the release notes.
As always, feedback from real-world deployments helps guide future development. If you would like a walkthrough of any of these features or want to share suggestions, we would be glad to hear from you.
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