Explore our complete collection of technical deep-dives, case studies, and industry insights.
Articles Published
Success Stories
System Uptime
A complete application security testing guide explaining SAST vs DAST vs penetration testing. Learn how each works, key differences, tools, use cases, and how to integrate them into DevSecOps.
Discover the most common cloud security misconfigurations causing data breaches and learn how to automatically detect and fix them using CSPM, policy-as-code, and security automation in production.
Learn the top 15 cloud security best practices to prevent data breaches in production environments. Covers IAM, encryption, Zero Trust, monitoring, compliance, DevSecOps, and real-world cloud security strategies.
The client operated a mission-critical Windows-based ERP application hosted on Amazon Elastic Beanstalk with Amazon RDS (MS SQL Server) as the backend database. As business usage increased, the platform began experiencing serious scalability, reliability, and performance issues. Key challenges included: Poor scalability during peak business hours Limited control over auto-scaling behavior in Elastic Beanstalk Inefficient load balancing, leading to uneven traffic distribution Application slowdowns directly impacting end customers Frequent performance degradation without clear root cause No deep application-level monitoring or APM visibility Limited observability into infrastructure and application health Operational firefighting impacting business continuity The ERP system was customer-facing and business-critical, so performance issues were directly affecting customer satisfaction and revenue. The client needed a modern, scalable, and observable platform without rewriting the entire ERP application.
The client operated a mission-critical manufacturing ERP and production management system that relied on a legacy on-premise database. As business operations expanded, the database became a major bottleneck affecting production planning, inventory visibility, and reporting. Key challenges included: Legacy database infrastructure with performance limitations Frequent slow queries impacting production systems High risk of downtime during any database changes Manual backup and disaster recovery processes Limited scalability to support growing manufacturing operations Strict business requirement for zero downtime during migration No tolerance for data loss or transactional inconsistency The organization required a seamless database migration strategy that would modernize performance while keeping manufacturing operations fully operational.
The client operated a large-scale multi-cloud environment supporting mission-critical workloads. Rapid cloud adoption and frequent infrastructure changes led to configuration drift, security gaps, and compliance risks—many of which could be exploited before detection. Key challenges included: Misconfigured cloud resources exposing sensitive data Lack of continuous visibility into cloud security posture Manual security reviews unable to keep pace with changes Inconsistent security controls across AWS, Azure, and GCP Difficulty meeting regulatory and audit requirements Increased risk of breaches caused by human error The organization needed a proactive, automated security approach to identify and remediate misconfigurations before attackers could exploit them.
