CUSTOMER STORY

Follow request failures to protect the quality of global marketing services

ABOUT ECLICKTECH

About the customer

Eclicktech provides international marketing services to businesses in ecommerce, gaming, utility apps, education, and other industries. It helps clients acquire users, build brand awareness, and monetize their products, supported by a platform that must maintain reliable service for its tenants.

Digital marketing Industry

International marketing Business focus

Global business growth Serves

The challenge

Containers keep changing while service quality must stay visible

Eclicktech needs to maintain the operating quality of its marketing platform. As nodes, containers, and service relationships change, teams must identify request failures and connect them with the relevant instance, component, and business impact.

A single machine or container view cannot explain a slow request across services. Historical labels and log relationships also need to remain useful after instances change.

Investigations required teams to align services and times across application, logging, and infrastructure tools. Repeated switching slowed response and complicated quality reviews.

KEY RESULTS

30%

Expected reduction: Application diagnosis time

25%

Expected reduction: Cluster monitoring review hours

12%

Expected reduction: Container resource investment

SOLUTION

Yidian Tianxia (Eclicktech) × Guance — Solution

Preserve object relationships in the container environment

DataKit collects metrics and logs from nodes, containers, and cluster services. Common labels connect application requests to the runtime objects involved when an issue occurred.

25%

Expected reduction: Cluster monitoring review hours

A unified view of Kubernetes clusters, nodes, and workloads

Inspect the work behind slow requests

Java auto-instrumentation brings application data into APM. Teams analyze latency, failed requests, and backend performance alongside the corresponding logs and resource metrics.

30%

Expected reduction: Application diagnosis time

Tracing service dependencies and anomalies through topology

Organize dashboards around service quality

Customizable dashboards combine middleware and application logs, traces, and metrics. Error and latency trends support response priorities and capacity reviews.

12%

Expected reduction: Container resource investment

BUSINESS IMPACT

Turn changing infrastructure data into clear service decisions

Investigations retain runtime context

Requests, logs, and container relationships can be reviewed together, reducing the need to rediscover evidence after instance changes.

Service quality can be reviewed continuously

Teams can inspect individual failures and longer error or latency trends to distinguish isolated incidents from persistent degradation.

Less repeated onboarding and maintenance

Common collection and labeling rules can be reused for later services, leaving more effort for analysis and response.

Build observability around your business

Work with Guance to connect telemetry, investigate service issues, and give teams shared operational context.