Data DevRedesignUX Strategy

Flanksource

Data dev dashboard redesign

Role

UX/UI Designer

Timeline

2025

Tools

Figma, Miro

Flanksource began as a Kubernetes consulting firm. Teams were drowning in data but lacked context. Mission Control was built to close that gap.

They had metrics dashboards, log tools, and Git for config, but nothing tying them together. Engineers needed one place to understand the health of their systems and act on it.

The Challenge

What we were up against

Engineers needed context, not more data. Existing tools created noise without signal.

Key components were siloed across separate views with no single entry point.

Actionable items were buried inside individual tools. Nothing surfaced by default.

Unfamiliar terminology required deep domain learning before any design could begin.

Brief

Dashboard redesign

Design a single dashboard that surfaces actionable insights and system health, consolidating five major platform components into one scannable view.

Five components to unify

01

Topology

System relationships and infrastructure map.

02

Playbooks

Runbooks for responding to incidents and alerts.

03

Catalogue

Service catalogue with metadata and ownership.

04

Health Checks

Real-time pass/fail state of services.

05

Notifications

Alerts and updates requiring attention.

Process

01

Domain immersion

Logged into the beta platform. Learned terminology and understood each component function before touching Figma.

02

Data visualisation exploration

Explored methods to communicate system health clearly, balancing density with scannability.

03

Ideate and wireframe

Translated component data into dashboard layouts. Mapped what surfaces by default vs. on demand.

04

Structural design

Produced final dashboard representations for review with the Flanksource product team.

Before and after

Before

Flanksource original dashboard layout

After

Flanksource redesigned dashboard

Insights

01

Engineers needed context, not more data

02

Key components were siloed across separate views

03

Actionable items were buried in individual tools

04

Unfamiliar terminology required deep domain learning

Outcomes

Unified dashboard communicating key system health metrics

Consolidated five major components into one view

Improved operational visibility for engineering teams

Reflection

01

Domain immersion is non-negotiable for unfamiliar products

02

Data density requires strict visual hierarchy