01
Platform Engineering
Multi-cluster platform operations
Connect clusters, nodes, workloads, networks, and service impact so platform teams manage capacity and anomalies in one context.
Use Cases
When complexityslows response,Diting entersthe scene.
When multiple clusters, teams, signals, and high-risk changes converge, teams need more than additional data. They need shared runtime relationships and a clear path to action.
When Diting Fits
System size isnot the issue.The cost ofcomplexity is.
When context switching, manual correlation, and cross-team waiting consume response time, shared runtime context becomes foundational rather than optional.
Operating Scenarios
Six frequent scenarios.Six clearoutcomes.
From platform operations to resilience engineering, every scenario is organized around observable change in how teams work.
02
SRE / Incident
High-pressure incident response
Bring alerts, logs, traces, runtime relationships, and sessions into one investigation with less manual correlation and waiting.
03
AI Operations
AI assistance in production
Give AI live system context, knowledge, and tools for investigation while permissions, approvals, and operation records remain intact.
04
Change Safety
High-risk change and release
Connect baselines, release state, batch tasks, and controlled failure experiments to identify risk before impact expands.
05
Application Reliability
Application and infrastructure troubleshooting
Move from requests and services into databases, containers, hosts, and networks while preserving the end-to-end impact path.
06
Enterprise Operations
Cross-team operating governance
Unify identities, roles, tokens, approvals, and audit so every operation has clear scope and ownership.
Fit Check
Three questionsshow when Ditingis needed.
If two of these conditions persist, the team needs shared runtime context rather than another isolated tool.
- 01
Is investigation fragmented across tools?
Does one incident require repeated switching between systems and manual alignment of time and entities?
- 02
Does impact depend on manual judgment?
Are services, resources, changes, user activity, and owners difficult to see in one relationship model?
- 03
Do actions lack a continuous record?
After fixes, scaling, rollback, experiments, and batch tasks, is the process and outcome difficult to trace?
Start Small
Choose onecriticalscenario.Measure whatDiting changes.
Begin with a critical application, Kubernetes environment, or resilience goal and create an observable evaluation path.