eInfochips CloudOps Services

As enterprises expand their cloud footprint, managing complex multi-account AWS environments requires continuous monitoring, automation, cost governance, and stringent security controls. Many organizations struggle with growing operational overhead, unpredictable cloud spend, inconsistent performance, and the lack of standardized DevOps, SecOps, and reliability practices.

eInfochips delivers comprehensive CloudOps services covering 24×7 monitoring, cloud cost optimization, operational automation, security operations, and reliability engineering. Our CloudOps framework streamlines operations, enhances observability, reduces downtime, and ensures that cloud environments remain scalable, resilient, and compliant.

Our services enable customers to:

• Maintain 24×7 availability with proactive monitoring & automated remediation
• Reduce cloud spend through FinOps-driven cost optimization
• Improve workload reliability and performance with data-driven tuning
• Strengthen cloud security through continuous compliance and DevSecOps
• Standardize operations with CI/CD, infrastructure automation, and containerization
• Scale cloud operations seamlessly across workloads and business units

What We Offer

1. Infrastructure and Application Monitoring (24×7 Operations): Round-the-clock monitoring of infrastructure, applications, Kubernetes, microservices, and cloud-native workloads. Includes centralized alerting, incident management, uptime SLAs, ChatOps integration, and visualization dashboards.

2. Cloud Cost Optimization and FinOps: Instance right-sizing, infrastructure reservation planning, unused resource cleanup, storage/compute analysis, cost anomaly detection, usage insights, and continuous governance to reduce cloud operational expenses.

3. Performance Efficiency: Define business/cloud KPIs, identify performance bottlenecks, optimize applications and services, tune monitoring systems, and improve responsiveness for performance-sensitive environments.

4. Operational Excellence (DevOps and Automation): DevOps assessments, CI/CD pipeline design, build/deployment automation, test automation, containerization, microservices enablement, and environment standardization aligned with AWS best practices.

5. Reliability and Resilience: Availability metrics (Uptime, MTTR, MTBF), disaster recovery strategy (RPO/RTO), backup management, predictive maintenance, and reliability engineering for mission-critical workloads.

6. Security Operations and DevSecOps: SOC-led threat monitoring, IAM hardening, vulnerability assessment, penetration testing, DevSecOps pipelines, network security, incident/event management, and data protection aligned with AWS security standards.

7. AIOps/MLOps Lifecycle Management: ML model deployment, versioning, monitoring, health checks, tuning, access control, retraining workflows, and lifecycle management for production-grade ML workloads.