//Tier-1 U.S. Banking Institution
1000s — of agents deployed without manual installs
Manual APM agent installation could not keep pace with a microservices estate measured in thousands. Automated deployment brought deep application-server metrics to every node — with zero manual intervention.
1000s
of microservices & servers covered
Zero
manual agent interventions
Faster
observability rollout timeline
Deeper
application-server metrics at scale
The challenge
The bank's application portfolio spanned thousands of microservices and servers, but observability coverage was patchy because every APM agent rollout meant slow, error-prone manual installation windows.
Blind spots slowed incident triage, and regulators expected evidence of operational visibility that ad-hoc coverage simply could not provide.
What we did
- 01
Deployment architecture
We designed an automated agent-deployment pipeline covering VMs, containers, and Kubernetes workloads with consistent tagging for service-level rollups.
- 02
Infrastructure-as-code rollout
Agent installation, versioning, and configuration were codified and pushed through existing CI/CD gates — turning a months-long manual program into a repeatable pipeline stage.
- 03
Standardized dashboards & alerting
Deep application-server metrics flowed into standardized dashboards, giving every squad the same view of health, latency, and dependency maps.
- 04
Governance & drift control
Version drift, orphaned agents, and coverage gaps became automated reports — keeping the estate observable as it kept growing.
DDAI Tech enabled us to automate the deployment of APM agents across thousands of microservices and servers, capturing deep application-server metrics at scale. This eliminated manual intervention, streamlined observability rollout, and significantly reduced implementation time and operational effort across our enterprise platform.
Chirian
Program Lead · Tier-1 U.S. Banking Institution
Engagement snapshot
Bring us your slowest process
We will tell you honestly whether we can move your number — and by how much.