Business Overview

A leading global financial technology enterprise operates an extensive, distributed cloud platform on AWS to power its cross-border payment networks and digital banking services. The ecosystem spans multiple EKS clusters and hundreds of Java-based microservices, all of which require 24/7 visibility to ensure transactional integrity and regulatory compliance. To manage this complexity, dozens of decentralized engineering teams depended heavily on Datadog for real-time monitoring and alerting.

But with more than 7,000 active metrics, terabytes of monthly log volume, and dozens of teams contributing dashboards and alerts, the company’s observability spend surged to nearly $40,000 USD every month.

The cost far outpaced the value delivered, especially as the organization continued to expand its cloud footprint. To navigate the complexity of migrating dozens of global teams, the company engaged NIX to implement a long-term AWS CloudWatch observability strategy.

This strategic partnership aimed to eliminate third-party tool dependency while providing a unified, high-visibility framework for the enterprise’s entire distributed engineering organization.

Challenge

The organization’s monitoring landscape was a product of years of decentralized growth. Dozens of engineering teams had built independent dashboards, alerts, and pipelines, resulting in a deeply interconnected ecosystem that was nearly impossible to untangle manually.

  • 1

    The scale of data: Over 7,000 active metrics and an annual logging footprint exceeding 10 TB created a high-cardinality environment where every data stream was mission-critical.

  • 2

    Interdependency risk: The reliance on core services such as EKS and Kafka MSK meant observability was not isolated. Dependencies spanned dozens of product teams, making a manual migration a high-risk gamble for system integrity.

  • 3

    Zero-gap mandate: With global production systems running 24/7, the client required a seamless transition. Because these metrics fueled real-time on-call pipelines, any gap in visibility during the shift to AWS-native tools would directly impact the organization’s ability to maintain its SLAs.

Solution

Enterprise-grade Automation With NIX Bridge

To manage the complexity of a global ecosystem, NIX deployed the NIX Bridge solution for seamless observability migration from Datadog to AWS CloudWatch. Our seasoned team delivered a highly coordinated, low-risk transformation across thousands of observability assets.

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  • 01

    Discovery and Mapping

    Leveraging NIX Bridge, we executed a deep-tissue scan of the entire Datadog estate, correlating over 7,000 metrics and terabytes of log patterns across Kafka MSK, EKS, and CloudFront. This provided the organization with its first unified observability map, identifying previously invisible redundant cost drivers and hidden cross-team dependencies.

  • 02

    Automated Replication of Observability Artifacts

    The platform programmatically generated CloudWatch-native versions of the entire monitoring stack. What would have typically required months of manual labor across dozens of teams was executed in two weeks, including:

    • Metric streams: 1:1 translation for EKS nodes, Lambda, and Fargate
    • Intelligent dashboards rebuilt using AWS-native visualizations
    • Automated governance: Programmatic creation of log groups, filters, and retention policies to ensure immediate compliance
  • 03

    Risk-averse Enterprise Validation

    To ensure zero visibility gaps, we conducted a month-long parallel run. NIX Bridge generated automated validation reports comparing dashboard fidelity, alert triggering frequency, and metric behavior under real production loads. This provided dozens of distributed teams the confidence to sign off on the migration without pausing product development.

  • 04

    Final Optimization and Cutover

    Once parity was confirmed, NIX completed the transition by optimizing the new CloudWatch environment:

    • Tiered, cost-efficient log retention
    • Consolidated metric sets to reduce noise and billing overhead
    • Contributor Insights rules for Kafka, CloudFront, and API Gateway
    • Decommissioning all Datadog agents across EKS nodes, servers, and workloads

    The cutover was executed smoothly and without interruption—something impossible without automation at this scale.

Outcome

By replacing high-cost legacy tooling with a unified AWS-native strategy, the enterprise reclaimed control over its global infrastructure margins. The transition delivered an immediate 45–55% reduction in monthly observability spend, effectively eliminating over $240,000 in annual observability costs.

With NIX Bridge, we ensured the transition was completed in five months instead of the estimated 10–12 for manual migration, providing dozens of the client’s teams with a simplified, unified dashboarding experience.

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Success Numbers

Team:

Team:

Project Manager, 3 DevOps
Tech stack:

Tech stack:

AWS CloudWatch, Datadog, NIX Bridge, EKS, Lambda, Fargate, Kafka, CloudFront, RDS

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