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Platform Engineering
Strategic consulting
We Will Help You Ideate, Design & Implement
AI Capabilities in Platform Engineering
AI Capabilities in Platform Engineering
AI For Incident Management
AI automates failure detection, root cause analysis, and issue resolution to reduce downtime. It enables self-healing systems that fix common problems without human intervention, improving system reliability and speeding up recovery.
- Failure Detection Automation
- Root Cause Analysis
- Self-Healing Systems
- Reduced Downtime and Improved Reliability
AI-based Monitoring & Observability
AI processes telemetry data to detect anomalies, predict potential issues, and enhance system reliability. It reduces alert fatigue by filtering out noise and focusing attention on real, actionable problems.
- Telemetry Data Processing
- Anomaly Detection and Prediction
- Intelligent Alert Filtering
- Enhanced System Reliability
AI for Infrastructure Optimization
AI dynamically adjusts cloud resources to optimize both performance and cost. It automates right-sizing, intelligent scaling, and provides proactive cost-saving recommendations for efficient infrastructure management.
- Cost Optimization Recommendations
- Adaptive Real-Time Scaling
- Auto-Optimized Sizing
- Smart Cloud Resource Adjustment
AI-driven CI/CD Pipelines
AI enhances CI/CD pipelines with smart test selection, failure prediction, and deployment optimization. It continuously learns from past runs to make future deployments faster, more reliable, and more efficient.
- Continuous Learning and Improvement
- Failure Prediction
- Deployment Optimization
- Smart Testing Strategy
CORE COMPONENTS
Core Components of Platform Engineering
1
Internal Developer Platform (IDP)
A curated toolkit with self-service workflows and golden paths to boost productivity and enforce best practices.
2
Platform as a Product
Designing internal platforms like customer-facing products with a focus on usability, continuous feedback, and a seamless developer experience.
3
Infrastructure Abstraction
Hides cloud and Kubernetes complexity behind simple APIs, allowing developers to deploy services with high-level commands while the platform manages the details.
4
Security & Compliance Automation
Integrates security into the platform with AI-driven policies, real-time threat detection, and automated compliance checks to prevent issues before deployment.
Platform Analytics & Intelligence
Platform analytics leverages data to track adoption patterns, monitor resource utilization, and uncover inefficiencies across teams and services. AI-driven recommendations provide actionable insights for platform enhancements, cost savings, and workflow improvements based on real usage patterns. Business Intelligence dashboards offer customizable visualizations, presenting key technical metrics for engineers and high-level KPIs for executives, ensuring that every stakeholder has the insights needed to drive smarter decisions.
