Technology Category
- Application Infrastructure & Middleware - Event-Driven Application
- Sensors - Temperature Sensors
Applicable Industries
- Cement
- Construction & Infrastructure
Applicable Functions
- Product Research & Development
Use Cases
- Behavior & Emotion Tracking
- Leakage & Flood Monitoring
Services
- System Integration
About The Customer
Intelligent Growth Solutions (IGS) is a small organization that grows nutritious and tasty food via automated growth towers. They heavily rely on technology and data to ensure the reliability of their system, as any outages could lead to the death of their crops. As they scale up and handle larger volumes of data, they need to maintain insight into the system's reliability while keeping costs under control. They heavily use Kubernetes and were initially using Application Insights as a part of Microsoft Azure, but found it wasn't well integrated with the amount of data they gathered.
The Challenge
Intelligent Growth Solutions (IGS), a company that grows nutritious food via automated growth towers, faced a significant challenge in maintaining the reliability of their system. The nature of their product demanded a high degree of reliability, as any outages could lead to the death of their crops. As a small organization, they needed insight into the system's reliability, especially as they scaled and handled larger volumes of data. Initially, they used Application Insights as a part of Microsoft Azure, but it wasn't well integrated with the amount of data they gathered due to their heavy use of Kubernetes. They considered open source solutions, but with only three people on the team, managing that would have turned into a full-time job. They needed a SaaS solution that adhered to open standards, allowed monitoring with logging and tracing, and was Kubernetes-native.
The Solution
IGS landed on New Relic, a software analytics company, as their solution. New Relic's adoption of open source, like OpenTelemetry and integrations with Prometheus, made it a great fit for IGS. The instrumentation phase was easy, with about 90% of the work being done by simply adding the APM agent into the container. For more specialized libraries, a few bits of custom instrumentation were added, but it took almost no time at all. New Relic also uses standard approaches for gathering logs for a given language, which made the process even smoother. IGS also utilized New Relic's rich API and Terraform provider to automate the creation of dashboards, workload views, and customizations or alerts for given environments. This allowed them to have these alerts as part of the code review, creating a standardized workflow across both software engineering and the site.
Operational Impact
Quantitative Benefit
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