Imagine Learning states Linkerd is the backbone of its cloud-native infrastructure, as spotlighted in a CNCF blog post.
- Serves millions on Amazon EKS and Linkerd is essential for handling growth and online learning demands.
- Highlighted improvements in reliability, scalability, and security with a 20% reduction in operational overhead.
CNCF blog provides a high-level view; more detailed results in Buoyant case study:
- Reduced compute requirements by over 80%, cut service mesh-related CVEs by 97% in 2024.
- Projected to lower regional data transfer networking costs by at least 40%.
- Simplicity, performance, and security were key factors in adoption.
- Streamlined configuration enabled reliable deployment within hours and reduced onboarding time and downtime risk.
Other organisations like Hokstad Consulting reported lower CPU and memory use of Linkerd than Istio in benchmarks, reducing cost and overhead.
- Illustrates its ability to meet the needs of platforms with large transaction volumes and availability requirements.
Travel company loveholidays said the service mesh caught hundreds of failed deployments early, improved conversion rates by 2.61%, and reduced network costs.
- Tied improvements to customer experience and financial results.
- Analysts like Solo.io note in its comparison that Linkerd uses a Rust-based micro proxy with good performance in smaller environments.
Overall, the CNCF blog, Buoyant case study, and external reports show evidence of Linkerd's impact.
- Imagine Learning's story highlights its use in education technology.
- Other case studies in gaming and travel show its use in different industries.
- Analysts' commentary provides context on why its architecture reduces costs and operational complexity.
- Linkerd is consistently described as enabling improvements in reliability, efficiency, and security for cloud-native organisations.
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