Addressing Monitoring Silos Challenges with Datadog

BUSINESS CHALLENGES
This company operates as a Fintech or digital wallet service and is a registered and regulated application under the supervision of Bank Indonesia. The company faces challenges in optimizing its monitoring processes during its migration to a hyperscaler. The current use of log monitoring tools to record application and web logs is insufficient to track crash issues in mobile applications. Additionally, the use of several separate monitoring tools has created data silos, complicating the analysis process. The company requires a solution that can flexibly integrate logs, both via agent and agentless methods, and unify all monitoring data on a single platform. This would enable the operational team to quickly identify and resolve issues, improve response times, and provide a better customer experience.

PROJECT OBJECTIVE
To address the challenges related to the complexity of the monitoring system, the lack of adequate visibility, and limitations in data integration, the company has decided to implement the Datadog observability platform as a proactive step to enhance operational efficiency.

IMPLEMENTATION RESULTS AND BENEFITS
After successfully implementing Datadog, the company achieved these following outcomes:

• Log Consolidation: All application logs, whether on-premise or in hyperscalers, are now centralized in Datadog
• Enhanced Mobile Visibility: The operational team can effectively track and resolve crash issues in mobile applications
• Simplified Analysis: The monitoring team can thoroughly analyze issues by correlating data from various sources (network, servers, databases, applications, and logs)
• Data Visualization: Custom dashboards allow the monitoring team to visualize activity logs and identify trends.
• Improved Responsiveness: Automated alerts enable the team to respond to issues promptly
• Comprehensive Visibility: Datadog provides a complete view of the infrastructure, network, and applications
• Improved Security: The potential for data breaches is reduced, and changes to Nginx or load balancers can be closely monitored
• Enhanced Threat Detection: Datadog helps proactively identify threats and correlate them with various data sources
• Implementation of Security Standards: Threats are classified based on the MITRE ATT&CK framework
• Increased Flexibility: Log integration can be performed without requiring a Datadog agent