Search

Cloud monitoring

Graph Timeline Cyber Security

Use this showcase if you’re building an application where users need to investigate cloud incidents across connected services. It shows how service topology, alert status and time-based context can work together and help explain where the issue started and what is affected.

What the showcase demonstrates

The showcase visualizes a set of cloud services and their associated health alerts. The service dependency chart lets users visually inspect the system with the option to switch between a sequential view and a more organic layout, depending on how they want to survey the topology.

A user can focus the chart by service type, such as databases, queues, gateways or caches. Selecting a node reveals details including health status, team ownership and version, while the timeline narrows to the relevant alert history. This makes it easier to move from a broad operational picture to the service that needs attention.

The alerts list provides a second route into the investigation. Filtering by critical, degraded or healthy status updates the dependency chart and timeline together, so the visual network always reflects the current alert context. Selecting an individual alert brings the affected service into focus and shows supporting detail alongside it.

The timeline is especially useful for understanding sequence. In this example, it helps users identify which service reached a critical state first, then follow how the issue propagated to other affected parts of the system.

What you can evaluate

For product and engineering teams, this showcase demonstrates how the SDKs can support cloud observability and incident triage workflows. It shows synchronized service dependency, alert-list and timeline views, along with filtering, layout switching and alert-driven navigation.

The workflow helps users move from a high-priority alert to its wider operational impact: which service was affected, when it became critical and how the issue propagated through dependent services.

Presented by

Pete Wood

Pete Wood

Product Team Lead

Pete leads the team of product managers and product designers at Cambridge Intelligence, with a particular focus on product strategy, team learning, and understanding the needs of our customers.

More from Cambridge Intelligence

See all →

Terms of use

These terms do not alter or supersede any existing agreements between you (or your employer) and us.

By accessing or using any Content you agree to be bound by these Terms of Use. Please review these terms carefully before using the website.

The contents of this website, including but not limited to any text, code samples, API references, schemas, interactive tools, and other materials (collectively, the 'Content'), are made available for informational and internal evaluation purposes only. All intellectual property rights in the Content are reserved. No licence is granted to use the Content for any commercial purpose, or to copy, distribute, modify, reverse-engineer, or incorporate any part of the Content into any product or service, without our prior written consent.

This Content is provided “as is” and “as available,” without any representations, warranties, or guarantees of any kind, whether express or implied, including but not limited to implied warranties of merchantability, fitness for a particular purpose, non-infringement, or accuracy. To the fullest extent permitted by applicable law, we expressly exclude and disclaim all implied warranties, conditions, and other terms that might otherwise be implied.

We disclaim all liability for any loss or damage, whether direct, indirect, incidental, consequential, or otherwise, arising from any reliance placed on the Content or from your use of it, to the fullest extent permitted by applicable law. By continuing to access or use the Content, you acknowledge and agree to these terms.