Opsphere

One Terraform-native team with operational awareness

Terraform defines your infrastructure. Opsphere helps you connect intended infrastructure with operational reality — understanding how infrastructure, environments, services and repositories relate, then investigating operational questions using current evidence from the systems that own the data.

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THE OPERATIONAL PAIN

Infrastructure as Code doesn't eliminate operational complexity

Terraform gives teams consistency, repeatability and scalability. But when production issues appear, engineers still need to understand how infrastructure changes, deployments and runtime behaviour interact across environments.

"We know exactly what Terraform deployed. The hard part is understanding why production started behaving differently afterwards."

— Senior Infrastructure Engineer, Cloud-Native SaaS Company
  • Infrastructure changes have hidden consequences

    A seemingly harmless Terraform change can affect networking, performance, deployments and service behaviour across multiple environments.

  • Multi-environment operations are difficult

    Development, staging and production environments evolve independently, making operational visibility increasingly challenging.

  • Infrastructure and operations remain disconnected

    Terraform state explains what exists. Engineers still need to manually determine how infrastructure affects production systems.

HOW OPSPHERE SOLVES IT

Connect intended infrastructure with operational reality

Platform teams can use Opsphere to understand how infrastructure, environments, services and repositories relate, and then investigate operational questions using current evidence from the systems that own the data.

  • Infrastructure Context

    Understand how cloud resources, networking and platform services relate to operational incidents.

  • Change Correlation

    Connect Terraform changes with deployments, service behaviour and production events automatically.

  • Multi-Environment Visibility

    Operate consistently across development, staging and production without losing context.

  • Dependency Awareness

    Visualize relationships between infrastructure, applications and operational signals.

BEFORE / AFTER OPSPHERE

  • Infrastructure without runtime
  • Blind to runtime drift
  • Drift across envs
  • Hidden downstream op
  • Terraform plan blind
  • Reactive investigations
  • Infrastructure + operations
  • Tf plans tied to prod
  • Runtime across env
  • Mapped relationships
  • Complete operational context
  • Pre-apply impact map
Infrastructure without runtime
Infrastructure + operations
Blind to runtime drift
Tf plans tied to prod
Drift across envs
Runtime across env
Hidden downstream op
Mapped relationships
Terraform plan blind
Complete operational context
Reactive investigations
Pre-apply impact map

HOW OPSPHERE INVESTIGATES

Connect intended infrastructure with operational reality

Opsphere investigates operational questions using current evidence from the systems that own the data. It relates what Terraform intended to what production is actually doing, forms hypotheses about a change's impact, tests them against runtime signals, and returns calculated confidence, a timeline and explicit verification conditions across every environment.

  • Terraform-managed resources related to live runtime behaviour
  • Hypotheses about a change's impact tested against current evidence
  • Calculated confidence, a timeline and verification conditions per environment

HOW OPSPHERE KEEPS CONTEXT

Infrastructure relationships that persist between changes

The relationships between repositories, cloud accounts, environments, Kubernetes and running services are kept and reused, along with previous investigations. A drift or regression that looks familiar is matched to the earlier analysis instead of being traced again by hand.

SCENARIO WALKTHROUGH

A Terraform change. Full operational visibility.

Here's how a Terraform-focused infrastructure team uses Opsphere to understand the impact of a production infrastructure modification.

Scenario: Networking change affects application latency

Tuesday 11:08 UTC — infrastructure update deployed successfully, followed by unexpected service degradation

  1. 11:08

    Infrastructure change detected

    Opsphere identifies recently modified Terraform-managed resources across the production environment.

    ⚡ Infrastructure timeline assembled

  2. 11:09

    Operational signals correlated

    Latency increases, service behaviour and infrastructure modifications are connected automatically.

    🔗 Resource-to-service dependency mapping

  3. 11:10

    Impact analysis generated

    Affected services, environments and infrastructure dependencies are surfaced immediately.

    📊 Complete operational context

  4. 11:18

    Issue mitigated

    Configuration corrected, service behaviour normalized and operational timeline documented.

    ✅ Faster diagnosis and recovery

READY?

Understand what your infrastructure is actually doing.

Connect Terraform, cloud resources and operational signals into a single intelligence layer.

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