Case Studies
We combine deep technical expertise with a passion for solving business challenges. Barkal Tech’s solutions accelerate innovation, strengthen security, and help you harness the full potential of your data and infrastructure.
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Case Study 1: Government Digital Transformation with Secure Cloud Infrastructure
A government department needed to shift from manual, paper-based application and payment processing to a fully digital, cloud-based system, while meeting strict cybersecurity and compliance standards.
Barkal Tech architected and deployed a secure Kubernetes-based platform on cloud services. Using Terraform, Helm, and GitOps principles, we automated deployments and connected sensitive on-premise systems securely to the cloud. AI-based security measures were implemented with advanced monitoring.
100% online application processing achieved
Compliance with rigorous government cybersecurity standards
High-availability disaster recovery designed and tested
Significantly faster deployment cycles with GitOps automation
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Case Study 2: Multi-Tenant Kubernetes Cost Optimization
A SaaS provider needed to reduce cloud costs while maintaining high performance across its multi-tenant application hosted in Kubernetes clusters.
Barkal Tech migrated workloads to spot instance-based node pools, significantly reducing compute costs. We maintained service reliability with proactive monitoring, autoscaling, and custom Helm charts for multi-tenant resource management.
Reduced compute costs by 60%
Improved resource utilization without sacrificing uptime
Streamlined deployment processes with CI/CD pipelines
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Case Study 3: Data Lake and Machine Learning Pipeline Modernization
A SaaS provider needed to reduce cloud costs while maintaining high performance across its multi-tenant application hosted in Kubernetes clusters.
Barkal Tech designed an end-to-end ELT pipeline using Databricks, Apache Airflow, and Apache Beam. Data from various sources was ingested into a central lakehouse, processed, and made available for training machine learning models on BigQuery and Databricks.
Reduced time-to-insight from weeks to days
Enabled continuous training of ML models
30% improvement in predictive analytics accuracy
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Case Study 4: Secure DevSecOps Transformation for Mobile and Cloud Apps
An organization managing hundreds of mobile apps needed to improve the security, compliance, and automation of its app development pipeline.
Barkal Tech enhanced CI/CD pipelines with security scanning (SonarQube, API testing, pen testing) and automated compliance gates using GitHub Actions and Fastlane. Cloud-native backend services were integrated securely into the apps with social login and analytics.
3x faster mobile app release cycles
Full compliance with internal and external security standards
Improved developer productivity through automation
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Case Study 5: High-Performance API Gateway and Microservices Migration
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Successful integration with global travel partners
99.99% API uptime
Reduced onboarding time for new partners by 50%
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Case Study 6: AI-Enhanced Search and Recommendation Platform
A client needed to improve content discovery across a large digital media catalog hosted in the cloud.
Barkal Tech deployed an Elasticsearch-based recommendation engine enhanced with AI models trained on user behavior and content metadata. Solutions were hosted on AWS using a scalable microservices architecture.
35% increase in content engagement
Faster and more relevant search results
Highly scalable system supporting traffic spikes without service interruption
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Case Study 7: Disaster Recovery and Security Hardening for Public Sector Cloud
A public sector organization required a robust disaster recovery plan and enhanced security posture to protect critical services hosted in the cloud.
Barkal Tech implemented multi-region backup and disaster recovery strategies, AI-based threat detection using cloud-native tools, and strict network hardening policies across Kubernetes clusters and supporting infrastructure.
Achieved RTO (Recovery Time Objective) of under 4 hours
Hardened cloud environment against common attack vectors
Gained audit compliance for disaster recovery and cybersecurity readiness
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