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DevOps Ecosystem Modernization for Cost Optimization and High Availability
  1. case
  2. DevOps Ecosystem Modernization for Cost Optimization and High Availability

DevOps Ecosystem Modernization for Cost Optimization and High Availability

scalac.io
Information technology
Business services

Business Impact of Infrastructure Complexity and Cost Challenges

The client has developed a versatile web/mobile BPM platform used across diverse industry verticals. Over time, infrastructure and operational processes have become increasingly complex and costly, with rising AWS bills, environment inconsistencies, limited monitoring, security gaps, and manual management burdens. The organization lacks dedicated DevOps resources to address these issues, leading to inefficiencies and high operational costs.

About the Client

A medium to large software development organization providing a flexible workflow and BPM platform across multiple industries, seeking to optimize infrastructure, enhance system reliability, and accelerate deployment processes.

Goals for Infrastructure Optimization and System Resilience

  • Achieve significant reduction in cloud infrastructure costs (targeting over 70% cost savings).
  • Automate environment provisioning, management, and configuration to ensure consistency across all deployments.
  • Implement containerization for all services to facilitate portability, reproducibility, and isolation.
  • Establish a robust, automated monitoring and logging system for proactive issue detection and resolution.
  • Enhance system availability and self-healing capabilities to minimize downtime and manual interventions.
  • Integrate source-controlled infrastructure management using GitOps principles to ensure traceability and revertability of changes.
  • Optimize resource utilization through reserved and spot instances and implement cost-effective cloud support plans.

Core System Functionalities for DevOps Ecosystem

  • Container orchestration platform supporting deployment and scaling of microservices.
  • Comprehensive configuration management system for consistent environment setup.
  • Automated CI/CD pipelines that build, test, and deploy applications in a containerized environment.
  • Monitoring and logging infrastructure utilizing open-source solutions for health checks, alerting, and performance tracking.
  • Infrastructure as Code (IaC) implementation with Git repositories serving as source of truth.
  • Self-healing mechanisms based on health checks to automatically recover from failures.
  • Cost optimization tools integrating reserved and spot instances, and savings plans.
  • Security enhancements including enterprise-level upgrades and access control measures.
  • Backup and disaster recovery processes integrated into the orchestration workflows.

Preferred Technologies and Architectural Approaches

Containerization using Docker
Container orchestration with Kubernetes
Infrastructure as Code with GitOps principles
Open-source monitoring stack (e.g., Prometheus + Grafana)
Cloud cost optimization strategies including reserved instances and spot instances
State-of-the-art logging and alerting systems

External Systems and Tools Integration Requirements

  • Cloud provider APIs for resource management (AWS or equivalent)
  • Source control platforms for infrastructure and configuration code
  • Monitoring and alerting systems
  • Security and compliance tools
  • Backup storage solutions

Essential Non-Functional System Requirements

  • Scalability to accommodate growing demand and service expansions
  • High availability with automated failover and self-healing capabilities
  • Performance metrics ensuring minimal latency and quick recovery times
  • Security standards aligned with enterprise security practices
  • Performance monitoring to ensure service uptime

Projected Business Benefits of DevOps Ecosystem Implementation

The project aims to deliver a substantial reduction in cloud infrastructure costs (anticipated over 70%), improved deployment speed and system reliability, enhanced operational visibility through advanced monitoring, and increased system resilience via automation and self-healing processes. This will result in cost savings, faster time-to-market for new features, and higher overall system uptime, aligning with strategic business growth objectives.

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