Auto-Scaling Policy Implementation for Cloud Apps

(3 customer reviews)

443.62

Configure dynamic auto-scaling for applications based on custom metrics like CPU, memory, queue depth, or traffic.

Description

This service involves the setup of horizontal and vertical auto-scaling policies across AWS (Auto Scaling Groups, Lambda), Azure (VM Scale Sets), or Kubernetes (HPA/VPA). Scaling thresholds are tailored to actual usage patterns — e.g., increasing pods based on queue length or memory pressure. It includes provisioning of metric collectors, load balancer health checks, and cooldown settings to prevent flapping. Dashboards track scale events and performance impact. Helps reduce costs while ensuring applications remain performant under fluctuating loads.

3 reviews for Auto-Scaling Policy Implementation for Cloud Apps

  1. Cordelia

    The team expertly implemented our auto-scaling policy for our cloud applications, exceeding expectations. Their thorough understanding of custom metrics and their ability to translate our requirements into a practical, efficient solution has dramatically improved our application performance and resource utilization. We’ve seen significant cost savings and appreciate their professionalism and clear communication throughout the entire process.

  2. Funke

    The auto-scaling policy implementation has been fantastic! They perfectly tailored the solution to our specific application needs, using metrics that were crucial to maintaining performance. We’ve seen a significant improvement in resource utilization and responsiveness, especially during peak hours, and a subsequent reduction in operational costs. Their expertise and attention to detail made the entire process seamless.

  3. Matthew

    Implementing the auto-scaling policy for our cloud applications was seamless and effective. The team truly understood our needs, tailoring the configuration to use custom metrics like queue depth, resulting in significantly improved application performance and cost efficiency. We’ve seen a noticeable difference in how our applications handle peak loads, and the proactive approach they took was impressive.

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