skEYEwatch saves 74% with OCI and Autonomous Database after switching from AWS

skEYEwatch provides smart fleet logistics dispatch with real-time tracking and operational surveillance for 21,000 vehicles and 15 billion daily data events. With data processing every 5 seconds, the company faced significant challenges: increasing costs, unreliable support, and scalability limitations from its previous cloud provider, AWS, which impacted customer satisfaction and growth. The company used AWS DocumentDB as its data management system. However, as customer usage grew, the company experienced unexplained increasing cloud resource consumption and runaway costs. The AWS architecture evolved into overly complex networking, six unreliable load balancers, and lacked clear remediation for scalability. In addition, DocumentDB autoscaling was manually intensive, overprovisioned resources, and required restarts and downtime.  Adding to the frustration was the unreliable support from AWS, where allocated personnel changed daily and offered little practical help beyond pointing to documentation. The company also suffered from unannounced updates and forced reboots, causing frequent downtimes that were severely disruptive. After migrating its entire application suite to Oracle Cloud Infrastructure (OCI) with Oracle Autonomous JSON Database, skEYEwatch achieved a 74% reduction in its monthly invoice, a 48% increase in transaction growth, and a 60% reduction in database administration workload. The improvements gave company leaders confidence in their enterprise-class operations and future growth.

The company selected Oracle Cloud Infrastructure (OCI) based on Oracle’s commitment to lower total cost of ownership, a fast and low-cost migration, and improved support. Oracle Autonomous JSON Database brought high performance JSON, automated patching, tuning, management, and built-in autoscaling. Oracle Database API for MongoDB helped ensure seamless data migration and connectivity for the company’s existing applications without code changes. OCI’s proactive Cloud Guard management offered cost-saving recommendations and automatic remediation.

The company’s migration from AWS DocumentDB to Oracle Autonomous JSON Database was completed in just one month, well ahead of the projected four-month timeline, and with zero business disruption. Staff handled the migration internally, in order to fully understand the new system and save costs. OCI's intuitive interface and load balancing allowed the company to rearchitect its network and database. The entire 4TB data transfer, enabled by the Oracle Database API for MongoDB, took just one hour. Application reconfiguration took only 30 minutes, without any code changes.

After implementation, the company’s monthly cloud bill dropped by 74%, even while transaction workloads increased by 48% and the business added 95 new customers—helping the business to grow while reducing costs. Contributing cost-saving factors included OCI’s usage-based compute pricing and autoscaling, no IOPs charges, lower storage costs, lower network costs, and proactive cost optimization from Cloud Guard. Additionally, the company’s database admin overhead dropped dramatically. The Autonomous JSON Database’s self-managing features reduced DBA workload by 60%, freeing two developer-DBAs to return to full-time development. This expanded the core dev team from five to eight and accelerated product innovation. Overall infrastructure monitoring time dropped by over 80%.

Performance improved across the board. Customers reported the system was noticeably faster even as volumes surged. Oracle’s optimized JSON performance and real-time autoscaling—which dynamically adjusts compute without restarts—were critical in improving speed. In contrast, AWS required overprovisioning and fixed shape constraints that limited flexibility and inflated costs. OCI’s high-bandwidth, low-latency architecture delivered true real-time operations.

The staff also experienced better support. Unlike AWS, the Oracle sales team provided responsive, hands-on support as needed. The company reported zero hours spent on support and no unexplained downtime or forced reboots. Oracle Cloud Guard actively monitors the environment, recommends improvements, and performs auto-remediations—replacing manual oversight with occasional check-ins instead.