AI-Driven DevOps & Reliability Engineering for the Future
WalkingTree enables AI-driven DevOps, scalable MLOps, and next-gen LLMOps for optimized software delivery and resilient architectures. With Keycloak-powered security, we ensure seamless deployment, automation, and protection of digital ecosystems.
Our Key Capabilities
WalkingTree enables seamless DevOps, MLOps, LLMOps, and Reliability Engineering with automation, scalability, and security powered by KeyCloak.
1. End-to-End DevOps Automation & CI/CD Pipelines
End-to-end DevOps automation enables seamless software delivery, from code commit to deployment, ensuring scalability, security, and high availability.
- By implementing Infrastructure as Code (IaC), automated CI/CD pipelines, security enforcement (DevSecOps), and observability & AI-driven monitoring, we help accelerate software releases while reducing failures.
- Our GitOps-driven approach ensures consistent, version-controlled infrastructure, allowing teams to deploy confidently across multi-cloud and hybrid environments.
- With KeyCloak, we enhance authentication, SSO, and API security across CI/CD pipelines, ensuring that DevOps workflows remain secure and compliant.
Key Capabilities
CI/CD Automation
Streamline builds, testing, and deployments for faster releases.
Infrastructure as Code (IaC)
Automate and standardize cloud provisioning at scale.
DevSecOps Integration
Embed security and compliance into every development stage.
Observability & Monitoring
Enable proactive incident detection and rapid recovery.
2. MLOps Offerings (Machine Learning Operations)
MLOps bridges the gap between data science and production deployment, ensuring automated ML model training, scalable deployment, real-time monitoring, and AI governance.
- Our end-to-end MLOps framework covers model versioning, CI/CD for ML workflows, bias detection, model drift monitoring, and retraining automation. This ensures ML models remain accurate, reliable, and cost-efficient in real-world scenarios.
- With KeyCloak, we ensure secure access to ML models, Role-Based Access Control (RBAC) for AI pipelines, and OAuth2 authentication for API-driven ML deployments.
Key Capabilities
Automated Model Training
Enable continuous experimentation, tuning, and retraining.
Scalable Model Deployment
Ensure seamless hosting for real-time and batch inference.
Model Monitoring & Drift Detection
Detect performance degradation and trigger auto-retraining.
AI Governance & Explainability
Enforce compliance with ethical AI and regulatory standards.
3. LLMOps Offerings (Large Language Model Operations)
Our LLMOps offering focuses on the end-to-end lifecycle of Large Language Models (LLMs)—from fine-tuning and serving to scalability, performance optimization, and guardrails for safety.
- Given the computationally expensive nature of LLMs, our solutions optimize for low latency, inference efficiency, secure data handling, and responsible AI usage.
- We integrate RAG (Retrieval-Augmented Generation), vector search, and AI guardrails to enhance the reliability of generative AI applications.
Key Capabilities
Fine-Tuning & Customization
Adapting LLMs for specific enterprise needs.
LLM Deployment & Optimization
Enhancing speed, efficiency, and cost-effectiveness.
Security & Compliance
Ensuring safe, unbiased, and reliable AI interactions.
Knowledge Management & Retrieval
Improving accuracy with advanced retrieval techniques.
4. Reliability Engineering & Site Reliability Engineering (SRE)
Reliability Engineering ensures high availability, fault tolerance, and scalable performance for mission-critical systems.
- Our SRE framework automates disaster recovery, real-time system monitoring, performance tuning, and chaos engineering to ensure SaaS platforms run smoothly even under extreme conditions.
- We help teams define SLAs, SLOs, and error budgets while leveraging AI-powered auto-remediation and self-healing infrastructure.
- KeyCloak strengthens security by providing identity-based access control for cloud infrastructure and observability tools.
Key Capabilities
Proactive Monitoring & Incident Management
AI-driven root cause analysis and automated recovery.
High Availability & Auto-Scaling
Ensuring seamless performance with failover strategies and dynamic scaling.
Chaos Engineering & Fault Injection
Simulating failures to enhance system resilience.
Cloud Cost Optimization & FinOps
Reducing infrastructure costs while maintaining reliability.
Why WalkingTree?
Proven Expertise in DevOps, Data Pipeline & AI/ML Pipelines
We have successfully implemented high-performance CI/CD, Data Pipelines, AI/ML pipelines, and automated cloud deployments for global enterprises.
KeyCloak-Integrated Identity & Access Management (IAM)
Our KeyCloak-powered IAM solutions ensure secure authentication, Single Sign-On (SSO), Role-Based Access Control (RBAC), and OAuth2 security for DevOps, AI, and LLM applications.
End-to-End AI & ML Lifecycle Automation
Our proven expertise, derived from building platforms like Qritrim, enables us to automate the complete AI lifecycle, driving both efficiency and accuracy through seamless model training, deployment, monitoring, and retraining.
Reliability Engineering with Self-Healing Infrastructure
We ensure 99.99% uptime with chaos engineering, proactive monitoring, and fault-tolerant cloud architectures—helping businesses scale without disruptions.
Multi-Cloud & Hybrid Cloud Expertise
WalkingTree enables multi-cloud, hybrid, and edge deployments with seamless integrations across AWS, Azure, GCP, Kubernetes, and edge AI environments.
Case Studies & Success Stories
Explore real-world case studies showcasing innovation, efficiency, and measurable success in wealth management.
