GeoCell · 03 · Operate
Infrastructure that operates itself — according to your policies.
GeoCell is FieldLine's policy-driven infrastructure and application operations platform. It manages the complete lifecycle of infrastructure and applications across regions and clouds, with a human-in-the-loop model defined by your organization's own policies.
Autonomy is not the absence of humans. Autonomy is the execution of clearly defined human policy.
Four operational pillars.
InfraOps
Complete infrastructure lifecycle management.
AppOps
Application lifecycle management from source code to Kubernetes deployment.
ResiliencyOps
Continuous resilience, telemetry-driven scaling, and automated failure testing.
ChatOps
A conversational interface for understanding and interacting with the system.
Policy is the control layer.
You define what the system is allowed, expected, or required to do:
Cost Policy
Define acceptable infrastructure cost and cost behavior.
Keep infrastructure within the defined cost envelope.
Resiliency Policy
Define required availability, replication, failover, and recovery behavior.
Maintain the required resiliency level across defined failure domains.
Vendor Policy
Define which cloud vendors or infrastructure providers may be used.
Use only approved cloud providers.
Autonomy Policy
Define how much autonomous action the system is allowed to take.
Require human approval before a major infrastructure change.
Humans define policy. GeoCell operates within that policy.
For every autonomous action, the system evaluates:
InfraOps
The complete infrastructure lifecycle.
Default recommended architecture
Three regions. One Kubernetes cluster per region. Minimum two cloud providers.
This is the default recommendation, not a hard-coded requirement. Regional topology is policy-driven — for example: Development: 1 region · Test: 2 regions · Production: 3 regions.
Databases are part of the infrastructure system
GeoCell treats databases as part of infrastructure lifecycle and resilience — not as an isolated external service.
AppOps
Bring your code. GeoCell turns it into an operational workload.
You connect a GitHub repository. GeoCell reads the application code and determines how it should be packaged and deployed.
Runs across the defined regional infrastructure — one Kubernetes cluster per region, three regions by default.
ResiliencyOps
System pressure, not just CPU percentage.
ResiliencyOps continuously evaluates health and pressure across multiple signals — not a single metric:
Compute pressure
CPU and workload execution pressure.
Disk pressure
Storage capacity and disk behavior.
Database pressure
Database load, performance, and operational conditions.
Queue pressure
Queue depth and backlog behavior.
Network pressure
Network and connection behavior.
Scaling is based on system pressure, not simply CPU percentage.
Continuous resiliency testing
GeoCell can perform failover testing during periods of zero or very low traffic:
1
Identify a suitable testing window.
2
Predict zero- or low-traffic periods.
3
Perform the resiliency/failover test.
4
Record what happened.
5
Evaluate the result.
6
Maintain the incident/test history.
Don't wait for a disaster to discover whether your disaster recovery works.
Incidents
Every incident becomes part of the system's operational history:
Policy actions are recorded too
An auditable relationship between policy, decision, human, action, and result.
ChatOps
Ask your infrastructure a question.
Instead of navigating dozens of dashboards, ask directly — GeoCell answers using its actual operational data:
How is my application traffic today?
What is my current availability?
What is my SLA performance?
What caused the last incident?
Which region is under pressure?
Why did GeoCell scale the application?
Did the resiliency policy pass?
Preview
A human-in-the-loop interface, in your pocket.
Receive notifications, then resolve them through ChatOps:
Example
The complete loop.
GeoCell does not replace human decisions. It turns human policy into continuous operational behavior.
Humans define the rules. GeoCell handles the execution.
Operate according to policy.
Not a static pipeline. A continuously adapting system, bounded by rules you define.