Extensive Managed DevSecOps support was needed to reduce the cognitive load on engineering teams.
Self-managing MongoDB was cumbersome and often resulted in downtime during software upgrades, necessitating a more efficient approach.
The influx of alerts from diverse services increased the mean time to resolution, complicating incident management.
Redis required fine-tuning to improve response times during high-traffic sales, as data overload caused congestion.
Issues with EFK and Kafka during peak sales hindered log visibility, making it difficult to monitor application crashes.
Managed multiple AWS services for optimum performance by analyzing associated metrics via CloudWatch, and implementing various cost-optimization processes.
Provided comprehensive management of the Ad Tech platform, including daily operations and new service onboarding.
Migrated MongoDB to DocumentDB to eliminate operational overhead and improve uptime.
Reduced noisy alerts with intelligent thresholds, categorized alerts for prioritization, and improved monitoring for automation alerts.
Fine-tuned Redis performance by adding shards to the Redis cluster, optimizing network bandwidth.
Set up parallel sending of logs to Amazon S3 alongside Kafka to ensure no loss of logs and implemented dashboards for monitoring.
Enabled real-time visibility with automated dashboards for new services.
Reduced alert noise and implemented auto-resolution for non-critical alerts.
Achieved 360-degree service visibility through automated remediation.
Strengthened security with SOC implementation during high traffic.
Ensured uninterrupted user experience with effective incident response.
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