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Faster Servers. Lower Latency. Real Results.

Slow response times cost revenue. Every 100 milliseconds of added latency can reduce conversion rates by up to 7%.

Our Infrastructure Performance Optimization service is a focused, one-time engagement where a senior Temus engineer audits your server configuration, network topology, and application delivery pipeline to identify and eliminate bottlenecks. We start by instrumenting your environment with AWS CloudWatch custom metrics (or equivalent tooling on Azure/GCP) to capture granular data on CPU utilization, memory pressure, disk I/O, and network throughput across every layer of your stack.

Optimizing Traffic & Load Balancing

A significant portion of latency issues trace back to misconfigured load balancing. We analyze your settings—health check intervals, connection draining policies, sticky session behavior, and backend target group distribution—to ensure traffic is routed efficiently and no single node is silently overwhelmed.

For applications serving global users, we evaluate:

• CDN Placement: Ensuring content is close to your users.

• Edge Caching Rules: Reducing the load on your origin servers.

• DNS Resolution Paths: Shaving milliseconds off every initial request.

Performance Meets Security

Security and performance are not mutually exclusive. We review your SSL/TLS handshake pipeline to implement session resumption, OCSP stapling, and optimal cipher suite ordering. These changes can cut handshake time by 40–60% without weakening your encryption.

Additionally, we audit IAM policies tied to service-to-service communication. We ensure that overly broad permission checks are not adding unnecessary overhead to your internal API calls.

Beyond the Infrastructure

The optimization does not stop at the server level. We profile application-level behavior to surface:

• Unoptimized database queries.

• Missing connection pooling.

• Excessive "cold starts" in serverless functions.

Where relevant, we recommend architectural changes such as introducing caching layers or restructuring microservice communication patterns. The engagement concludes with a before-and-after load test to quantify the improvement and prove your ROI.