From Pager Alerts to Self-Healing Systems

Your engineers shouldn't be waking up at 3 AM for a full disk or a hung process. We build systems that identify, diagnose, and remediate routine operational issues automatically, allowing your team to focus on high-value improvements rather than repetitive firefighting.

What We Build With It

We engineer production-grade remediation engines that turn your runbooks into code.

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Automated Diagnosis Workflows

Systems that automatically gather logs, thread dumps, and system state when an alert triggers, providing instant context.

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Self-Healing Resource Management

Implementing auto-restarts, disk cleanup scripts, and automated capacity expansion based on real-time demand.

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Intelligent Traffic Shifting

Automatically routing traffic away from degraded components while they are being repaired or replaced.

Why Our Approach Works

We move beyond simple automation to create intelligent systems that learn and adapt.

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Dramatic MTTR Reduction

By fixing issues in seconds instead of minutes or hours, you minimize business impact and user frustration.

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Reduced Developer Burnout

Eliminating the 'toil' of repetitive incidents keeps your best people focused and happy.

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Sustained Operational Stability

Consistent, automated responses are less prone to human error during high-pressure incidents.

Our Go-To Stack for Self-Healing

We leverage modern automation platforms and cloud-native tools to build reliable remediation engines.

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Event Rules

AWS EventBridge, Azure Monitor Alerts, and GCP Cloud Pub/Sub for event-driven triggers.

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Automation Engines

StackStorm, Ansible, and custom Lambda/Functions for executing remediation logic.

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Monitoring Integrations

Datadog, Prometheus, and New Relic for high-fidelity signal detection.

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Runbook Execution

Shoreline, Transposit, and AWS Systems Manager for managed runbook automation.

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Kubernetes Operators

Custom operators and Helm for managing complex application lifecycles inside clusters.

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Verification Suites

Automated post-remediation health checks to ensure the system is truly back to normal.

Ready to Stop Firefighting?

Let's build systems that take care of themselves, so you can focus on building the future.

Automate Your Ops

Frequently Asked Questions

Is automated remediation dangerous?

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Only if implemented without guardrails. We focus on low-risk, repeatable tasks first and implement safety checks, rate limiting, and clear logging to ensure the system is always predictable.

How do we know what the system did during an incident?

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Every automated action is logged and tracked. We integrate remediation events directly into your Slack or Teams channels and include them in blameless post-mortems.

What if the automation makes things worse?

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We design for ‘controlled failure.’ If an automated remediation step fails or doesn’t resolve the issue within a certain number of attempts, it halts and escalates to a human with a full report.

How do you handle the security of automated 'fix' scripts?

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We use the principle of least privilege. Remediation scripts are granted only the specific permissions needed for their task (e.g., ‘restart service’ but not ‘delete database’) and are stored in version-controlled repositories with mandatory peer reviews.

Can this work with our older, legacy monitoring tools?

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Yes. We use event-driven integration platforms that can ingest alerts from almost any source—from modern Prometheus setups to legacy SNMP traps—translating them into structured triggers for our remediation engine.

How do you report on the value of self-healing systems?

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We track ‘Toil Avoided’ and ‘Automated MTTR’ vs. ‘Manual MTTR’. We provide dashboards that show exactly how many developer hours were saved and how much downtime was avoided by the automation, providing clear ROI visibility.