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About the customer
This company is a leading discount retailer specializing in household goods, apparel, and electronics at unbeatable prices. With a rapidly growing online presence, the company aims to deliver an exceptional shopping experience while maintaining operational efficiency.
Problem statement and customer challenge
The customer’s rapid e-commerce and retail store growth exposed critical limitations in its legacy infrastructure.
Its on-premises environment struggled with scalability, performance bottlenecks, and high operational costs, leading to frequent website slowdowns and outages during peak shopping seasons.
Deploying new features was slow and manual, delaying innovation and impacting customer experience.
Managing security updates and compliance requirements became increasingly complex, requiring significant DevOps resources.
To sustain growth, reduce costs, and enhance reliability, the customer needed a modern, cloud-native solution that could scale dynamically, streamline operations, and improve security without increasing IT overhead.
Customer challenge:
As e-commerce became a critical revenue driver, the customer encountered several key challenges:
Limited scalability: Its legacy infrastructure could not handle traffic surges, leading to slow page loads and site crashes during peak sales periods.
High operational costs: On-premises servers required significant maintenance and scaling investments.
Slow deployment cycles: Introducing new features or updates took days or weeks due to manual processes and outdated architecture.
Security and compliance risks: Managing security patches and compliance updates manually was inefficient and prone to errors.
Spectro Cloud’s solution:
Spectro Cloud partnered with the customer and integrated AWS technology platform to implement a scalable, secure, and automated Kubernetes platform across multi-cloud environments. The solution included:
Automated Kubernetes management: Spectro Cloud’s Palette platform simplified cluster provisioning, upgrades, and policy enforcement across multi-cloud environments.
Resilient microservices architecture: The customer migrated from a monolithic application to containerized microservices to enhance fault tolerance and scalability.
CI/CD acceleration: By implementing automated deployment pipelines, the customer could achieve rapid feature releases and reduced time-to-market.
Observability and cost optimization: Palette provides integrated full-stack monitoring with Prometheus, Grafana, and cost-optimization tools to ensure high performance at an optimal cost.
Lessons learned
Customers with both physical stores and e-commerce sites need to consider the following key best practices to future-proof the success of their businesses:
Cloud-native readiness is essential: A well-architected, AWS-integrated platform for deployment ensures resilience and scalability.
Automation drives efficiency: Kubernetes lifecycle management automation reduces operational complexity and DevOps workload.
Cost optimization requires visibility: Proactive monitoring helps control cloud spend without sacrificing performance.
CI/CD is a game-changer: Automating deployments leads to faster feature rollouts and improved customer experience.
Outcomes of partner success metrics
93% uptime: Reduced website downtime, ensuring a seamless shopping experience.
5x faster deployments: New features and bug fixes are released in hours instead of days.
30% lower cloud costs: Optimized resource allocation and auto-scaling reduced infrastructure costs.
50% increase in traffic handling: Auto-scaling enabled the platform to accommodate surges during peak shopping seasons.
Reduced operational overhead: Automated Kubernetes lifecycle management freed up DevOps teams to focus on innovation rather than infrastructure maintenance.
Describe TCO analysis
30% reduction in infrastructure costs: Shifted from high capital expenditures (CapEx) to a pay-as-you-go operational expense (OpEx) model, cutting infrastructure costs by 30%.
66% reduction in maintenance overhead: Automated cluster management decreased the need for full-time engineers from three to just one, reducing operational costs by 66%.
5x faster deployments: Deployment cycles improved from 5-7 days to just a few hours, accelerating time-to-market for new features.
50% increase in scalability: Auto-scaling enabled the e-commerce platform to handle 50% more traffic without performance degradation, especially during peak sales periods.
75% faster security updates: Automated policy-driven security updates reduced patching time from an average of four hours to just one hour, improving compliance and security posture.
ISV tool detail
Spectro Cloud Palette (https://docs.spectrocloud.com/). Spectro Cloud Palette uniquely enables retail organizations to manage Kubernetes in production, at scale, optimizing multi-environment operations from supply chains and warehouses to smart stores, e-commerce sites, and data centers. The Palette management platform gives IT and platform operations teams effortless control of the full Kubernetes lifecycle, with support for AI, VM, and container workloads across clouds, data centers, bare metal and edge environments.
About us
Spectro Cloud delivers simplicity and control to organizations running Kubernetes at any scale. Trusted by leading enterprises and government organizations worldwide, Spectro Cloud transforms Kubernetes complexity into elegant, scalable solutions, enabling customers to master their cloud-native journey with confidence.
Spectro Cloud is a Gartner Cool Vendor, CRN Tech Innovator, and a ‘leader’ and ‘outperformer’ in GigaOm’s 2025 Radars for Kubernetes for Edge Computing, and Managed Kubernetes.
