Large-scale Observability Platform for Complex Operations

ANZR designed and implemented a large-scale data visualization and observability platform for Iver, operating thousands of workloads across multiple data centers. The solution enabled centralized aggregation of logs, metrics and events while allowing teams to subscribe to tailored monitoring, improving incident handling at scale.

In Short

Iver, a large Nordic service provider operating thousands of workloads across multiple data centers and tenant environments.
Design
Kafka
Data Visualization
Large Scale Environments
Beats
Logstash
Elasticsearch
Kibana
SIEM

The Challenge

Lack of visibility at scale

The client operated thousands of workloads across multiple data centers and tenants. Lack of centralized visibility made monitoring fragmented, incident handling slower than necessary and operational costs higher, particularly in complex, distributed environments.

The Solution

Centralized observability for large-scale operations

ANZR designed and implemented a centralized observability platform capable of aggregating logs, metrics and events from thousands of workloads. The solution enabled scalable ingestion, robust message queuing, secure storage and flexible visualization while allowing teams to consume tailored monitoring views. Improved visibility and correlation of data significantly enhanced incident response, troubleshooting and operational efficiency across distributed environments.

  • Centralized data foundation at scale
  • Flexible consumption for different teams
  • Improved incident detection and response
  • Operational focus on reliability and performance

More References