The leading Indian e-commerce company specializes in multi-beauty and personal care products. It houses 1,500+ brands and over 1.8 million products, catering to diverse consumers’ journeys across its platform. You can check more info about: - DevOps Consulting Services In UAE( https://opstree.com/ ). - AWS Consulting Services( https://opstree.com/aws-consulting-partner/ ).

1. 24/7 Uninterrupted User
Experience With Cloud
Platform Resilience &
Efficient Scaling

2. About
Customer
The leading Indian e-commerce company
specializes in multi-beauty and personal care
products. It houses 1,500+ brands and over 1.8
million products, catering to diverse consumers’
journeys across its platform.

3. Challenges
faced
During the peak sale, they were facing
issues with EFK and Kafka which made
it difficult to view the logs if any
application crashed.
Given the diverse services they were
dealing with – alerts from every single
component were getting populated
which increased the mean time to
resolution.
Wanted to cut down their time on self
managing MongoDB which was
cumbersome to manage and usually
resulted in downtime while performing
any software upgrades.
Given the huge incoming traffic, it was
getting difficult to balance platform
scaling and cost optimization.
Needed extensive Managed DevSecOps
support to decrease the cognitive load
of their engineering teams.
Required fine-tuning of Redis for
reducing response times during sales,
as the high volumes of data being sent
overwhelmed Redis, leading to
congestion.

4. Solutions
Implemented
● Managed multiple AWS services – From rightsizing them to ensuring their optimum performance by
analyzing the associated metrics via Cloudwatch.
● Reduced noisy alerts with intelligent threshold values and managed their precedence during the sale
period. Analyzed the root cause of repeated alerts to reduce the MTTR.
● Set up parallel sending of logs to Amazon S3 alongside Kafka, ensuring no loss of logs.
● Set up dashboards and alarms of all services on Grafana and Cloudwatch.
● Categorized alerts on the basis of criticality, source, and service for efficient prioritization and enabling
quick action on genuine incidents.
● Many cost-optimization processes are established.
● End-to-end management of their Ad tech platform from the planning of resources during sales, logs
handling, new services onboarding, and streamlining daily operations.
● Migration of MongoDB to DocumentDB for eliminating the operational overhead involved with managing
underlying infrastructure scaling, updates, etc.
● Fine-tuned Redis performance by adding shards to the Redis cluster, which optimized the network
bandwidth and eliminated congestion — scaled performance effectively during sales.
● Implemented AWS IAM Policy for fine-grained access controls of workloads.

5. Final
Outcomes
Real-time dashboard creation for newly
created services through automation
scripts.
Suppressed noisy alerts by priority,
alert source, tag, and enabled
auto-resolve of non-critical alerts.
Fortified defenses with SOC
implementation to maintain a robust
security posture under high-volume
user requests.
Prompt incident response and robust
governance enabled uninterrupted user
experience.
.
Assessed their business lines for gaps and
introduced automated remediation and
360-degree visibility across all services.
Dedicated support during the sale for
ensuring seamless scale of the platform
to maintain high availability.

6. Thanks!
Do you have any questions?
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