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Pandora: Azure-Driven Modernization

Success Story

Azure-Driven Release Management and Deployment Modernization

A structured DevSecOps approach enabling high availability, lower costs, and rapid, secure deployments.

99.999%

availability for main application components.

7X lower

storage costs and 10× savings with AKS vs Azure Functions.

Technologies

Azure DevOps

Kubernetes

Apache Kafka

New Relic

Azure API Management

Expertise

Event-driven architecture (EDA)

DevOps

Monitoring & observability

Cloud

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Complex deployment procedures

Managing and executing deployments with minimal downtime while maintaining service availability.

Effective monitoring and logging

Transitioning from Azure Application Insights to New Relic while maintaining comprehensive monitoring and alerting capabilities.

Efficient resource management

Ensuring readiness and proper configuration of resources for UAT and production environments.

Security and compliance

Adhering to stringent regulatory requirements and ensuring secure handling of sensitive data.

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Cloud-native precision

Our experience with Azure, Kubernetes, and event-driven architectures aligned directly with the client’s integration hub and deployment requirements.

Enterprise-grade DevSecOps

We bring structured workflows, strong security automation, and scalable CI/CD foundations that support high availability and regulated-market needs.

Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.

2017

Year Founded

600+

Employees

96%

Client Satisfaction

Phase 1

Planning and preparation

Employed JIRA and Azure for task and milestone planning. Branching in Git repositories and using platforms like GitHub or Bitbucket for feature isolation.

Phase 2

Build and integration

Leveraged Azure DevOps and GitHub Actions for project building and continuous integration. Conducted peer reviews and testing with robust frameworks before merging code into the main codebase.

Phase 3

Deployment execution

Utilized Azure DevOps for orchestrated deployment and monitoring. Implemented Kubernetes (K8S) strategies like Rolling Updates and Recreate for minimal downtime. Ensured deployment readiness by validating Kubernetes namespaces, managing secrets, and checking pipeline logs and pod statuses.

Phase 4

Rollback and stability

Implemented rollback capabilities via Azure DevOps Pipelines and Helm charts. Used revert commits and database version control through Liquibase to maintain data integrity.

Phase 5

Infrastructure, monitoring and security

Utilized Azure cloud services for elastic scalability and secure hosting. Employed private endpoints and Azure Kubernetes Service (AKS) for environment transitions. Migrated monitoring dashboards to New Relic. Configured alerts based on metric thresholds. Ensured GDPR and CCPA compliance with strict data access controls. Used Azure API Management and Azure Active Directory for secure API access. Integrated Snyk for continuous security scanning.

Modern release engineering is a growth enabler. We built a cloud foundation that delivers speed, stability, and security without compromising availability.

Streamlined release management

We used Azure DevOps to orchestrate deployment workflows, automate promotions, and manage updates to the main branch. Kubernetes strategies such as Rolling Updates and Recreate enabled near-zero downtime releases. Each deployment included checks for namespace readiness, secrets, and pipeline logs to ensure production stability.

Standardized build, integration, and rollback

The teams worked from isolated feature branches planned through JIRA and Azure. Azure DevOps and GitHub Actions handled continuous integration and automated builds. Peer reviews and structured testing safeguarded code quality before merges. Rollback was supported through Azure DevOps pipelines, Helm chart versioning, revert commits, and Liquibase-managed database changes.

Secure cloud infrastructure

The solution leveraged Azure’s elastic services, private endpoints, workload identities, and AKS for secure environment transitions. Monitoring moved to New Relic with OpenTelemetry for richer tracing and dashboarding, supported by metric-based alerts and runbooks. Security was reinforced through GDPR/CCPA-aligned access controls, Azure API Management and Active Directory for API security, and Snyk scanning integrated directly into CI/CD.

The improved delivery process increased operational clarity and confidence across environments.

Cost efficiency

By introducing Azure Kubernetes Service (AKS), we realized cost savings over 10x greater compared to using Azure Functions. Additionally, we reduced the costs of storing metrics data by up to 7x.

Quick rollback

Implemented a rollback strategy that allows redeployment of the previous application version in less than 1 minute, minimizing downtime and service disruption.