Solutions
Autonomous remediation of configuration drift
The Hidden Threat of Configuration Drift
Modern cloud workloads are dynamic by nature and frequently change and update configurations over time. Unless these changes are carefully tracked, they could lead to configuration drift, a situation in which the runtime state of a resource deviates from its intended baseline configuration. Drift can have consequences, causing system outages, degrading system performance, potentially introducing security vulnerabilities, and violating compliance requirements.
From Firefighting to Proactive Prevention
Historically, DevOps teams have been focusing on reactive mode and troubleshoot drift-induced incidents after the outage is occured. Today’s emerging agentic AI approach is reshaping that paradigm. Instead of constant firefighting, intelligent agents can continuously guard and inspect your configurations, identifying and fixing drift before it causes problems. By harnessing AI-driven automation, organizations can detect issues early and take preventive measures against drift.
Streetrace Config Inspector Agent: Autonomous Drift Defense
Streetrace response to configuration drift is the Config Inspector – an AI agent embedded directly into your GitOps pipeline. This agent acts as a safeguard within your deployment workflow, continuously detecting, forecasting, and remediating drift in real time. Crucially, it’s built with safety and transparency at its core, so you get the benefits of automation without losing control:
Continuous Drift Monitoring Every pull request or pipeline event is inspected by the Streetrace Config Inspector. It parses the proposed manifests and can even generate corrective patches the moment drift is detected. Your configurations remain aligned to the desired state at all times.
Policy Validation & Guardrails Before any change is applied, the agent performs iterative syntax and semantic checks. It compiles and dry-runs the manifests, enforcing policy-as-code rules (security best practices, compliance standards, resource limits, etc.) and guidelines from Streetrace Enterprise Context Store to ensure each change meets your baseline requirements. This built-in compliance check prevents bad configs from ever reaching production.
Blast Radius Forecasting The Config Inspector doesn’t just see what’s changed – it projects what could happen. By leveraging of historical incidents, post-mortems from Streetrace Enterprise Context Store it quantifies the potential impact of a change on system reliability and SLAs. Think of it as an AI-powered risk analyst that warns stakeholders if a proposed config tweak might have unintended side effects.
Human-in-the-Loop Control For any non-trivial or high-risk change, the agent pauses and seeks approval. It surfaces a hypothesis of the issue and a recommended remediation plan to your SRE or DevOps engineers. This human-in-the-loop checkpoint means you remain in control – engineers can review, adjust, or veto the fix with full context before anything deploys.
Observability & Transparency High-resolution audit logs and end-to-end traceability record every agent decision, command, and artifact, issuing signed attestations for each step—delivering provable change history, tamper-evident compliance across pipelines and production environments.
Enterprise-Ready Platform with No Vendor Lock-In
Designed for the enterprise demands, Streetrace integrates seamlessly into complex, cloud-native and hybrid landscapes. Its lightweight, containerized agents can run anywhere – in public cloud, on-premises, or at the edge – augmenting your existing pipelines without imposing new infrastructure.
Open & portable by design Open-core, model-agnostic agents, so you can bring you language model provider and swap anytime without hard coupling to a single vendor.
Run anywhere SaaS, self-hosted, or fully air-gapped. Data, prompts, and logs stay in your perimeter under your keys.
Plug into GitOps you have Bring your DevOps automation platfrom: Jenkins, GitHub or GitLab.
Glass-box AI Policies, prompts, and decisions are inspectable and versioned; approvals remain human-in-the-loop.
Enterprise-grade security controls built-in SSO/SAML, fine-grained RBAC, secrets management, data encryption at-rest and in-transit.
Governance & provenance End-to-end audit trails with signed change attestations for compliance and forensics.
Extensible like code Agents and guardrails defined in YAML, shipped as Docker; fork, reuse, and integrate new tools via SDK.
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