Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
Self-Healing Infrastructure as Code with AI Agents
This talk demonstrates an autonomous agent that monitors environments, uses AI for real-time root-cause analysis of issues, and automatically applies fixes, learning from outcomes to improve accuracy.
The env-healing-agents project is an autonomous self-healing agent that monitors any running environment, detects problems in real time, diagnoses their root cause using AI, and automatically applies fixes.
Here’s what it does end-to-end:
- Monitor;
It tails log streams from any source; Kubernetes pods, files, AWS CloudWatch, systemd journald, stdin pipes, or process stdout and matches every line against known issue patterns .
- Diagnose;
When a pattern matches, it extracts the relevant error windows (±10 lines of context around each error line) and sends them to an AI model for root-cause analysis. Models in use:
- Claude via Anthropic Vertex AI
- Gemini
The AI returns a structured diagnosis: root cause, severity, confidence score, and the recommended fix to apply.
- Remediate;
If the confidence score meets the threshold (default 0.7) and remediation is enabled, it executes the fix from fix strategies.
- Learn;
Every outcome is recorded. After each run the learning agent adjusts the confidence scores for each issue pattern based on whether fixes succeeded or failed, so the agent gets more accurate over time.
Kubernetes-deployed AI agents diagnose and remediate environments using LLMs.
- ClaudeClaude is Anthropic's flagship family of large language models (LLMs): a high-performance, Constitutional AI system built for safety, complex reasoning, and expert-level collaboration.Claude is a next-generation AI assistant developed by Anthropic, a research firm prioritizing AI safety. The models (including Opus, Sonnet, and Haiku) leverage Constitutional AI to ensure helpful, honest, and harmless outputs, a key differentiator from competitors. Claude excels at complex enterprise tasks: processing massive context windows for in-depth data analysis, generating and reviewing code, and providing expert-level summarization for documents up to 200,000 tokens. It is deployed as a conversational chatbot and via API, offering scalable AI solutions for developers and businesses.
- GeminiGoogle's natively multimodal AI model: understands and operates across text, code, audio, image, and video.Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.
- KubernetesKubernetes (K8s): Production-grade container orchestration: automate deployment, scaling, and management across your cluster.Kubernetes (K8s) is your control plane for planet-scale container orchestration: it automates the deployment, scaling, and management of containerized applications across your cluster. Built on 15 years of Google's production experience (Borg), K8s ensures your *desired state* is always maintained. Core resources like Pods, Deployments, and Services manage auto-scaling, load balancing, and self-healing for you. You interact directly with the API server using `kubectl` (the command-line tool) to execute zero-downtime rollouts and rapid rollbacks. As a CNCF project, it provides vendor-neutral flexibility for any infrastructure: cloud, on-premises, or hybrid.
- AWSAWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from 33 geographic Regions.AWS is the global leader in cloud infrastructure, delivering over 200 fully featured services. We operate across 105 Availability Zones within 33 geographic Regions, ensuring high availability and low latency for your applications. Core services like Amazon EC2 (virtual servers), Amazon S3 (scalable object storage), and AWS Lambda (serverless compute) provide the foundational building blocks for any workload. This platform allows customers (from startups to Fortune 500s) to innovate faster, reduce operational costs by moving from CapEx to OpEx, and scale instantly. Security remains paramount: we offer 300+ security, compliance, and governance services, meeting standards like ISO 27001 and SOC 1/2/3. Simply put, AWS provides the secure, flexible, and proven foundation you need to build anything.
- PythonPython: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .
Compose Email
Loading recent emails...