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AWS wellarchitected documentation change

Service: wellarchitected · 2025-11-22 · Documentation low

File: wellarchitected/2024-06-27/framework/perf_networking_choose_network_protocols_improve_performance.md

Summary

Replaced 'Elastic Load Balancing' with 'ELB' abbreviation and maintained SSL/TLS offloading guidance

Security assessment

Change uses an abbreviation without altering security guidance. SSL/TLS offloading was already documented; no new security features or vulnerabilities addressed.

Diff

diff --git a/wellarchitected/2024-06-27/framework/perf_networking_choose_network_protocols_improve_performance.md b/wellarchitected/2024-06-27/framework/perf_networking_choose_network_protocols_improve_performance.md
index b0d1bb333..11688626d 100644
--- a//wellarchitected/2024-06-27/framework/perf_networking_choose_network_protocols_improve_performance.md
+++ b//wellarchitected/2024-06-27/framework/perf_networking_choose_network_protocols_improve_performance.md
@@ -48 +48 @@ Scalable reliable datagram (SRD) is a network transport protocol optimized for h
-  * Using TLS with TCP or UDP can result in increased latency and reduced throughput for your workload due to the impact of encryption and decryption. For such workloads, consider SSL/TLS offloading on [Elastic Load Balancing](https://aws.amazon.com/elasticloadbalancing/) to improve workload performance by allowing the load balancer to handle SSL/TLS encryption and decryption process instead of having backend instances do it. This can help reduce the CPU utilization on the backend instances, which can improve performance and increase capacity. 
+  * Using TLS with TCP or UDP can result in increased latency and reduced throughput for your workload due to the impact of encryption and decryption. For such workloads, consider SSL/TLS offloading on [ELB](https://aws.amazon.com/elasticloadbalancing/) to improve workload performance by allowing the load balancer to handle SSL/TLS encryption and decryption process instead of having backend instances do it. This can help reduce the CPU utilization on the backend instances, which can improve performance and increase capacity.