https://store-images.s-microsoft.com/image/apps.40561.048f1425-43d9-47cb-951e-64fd51108e96.1240cc1e-1942-4921-8434-46339e4d9f7f.55d22c18-fecc-4577-acb7-aee8df55b7f3

Logicalis Managed Services - Cloud Cost Management

by Logicalis Solutions

Azure Expert Managed Services for Optimized and Scalable Cloud Workloads for Production

Logicalis Production Ready Cloud is a tried and tested framework to help you achieve your vision and transform your business with an optimal, scalable, and secure cloud platform delivered in a fast, cost effective and controlled way.


We help you to both strategically plan and execute on your cloud strategy through three simple steps:


Step 1: Align - Readiness & Security assessment

Develop a cloud strategy roadmap and workload transformation plan with highly accurate cost expectations.


Step 2: Transform - Platform implementation & Workload migration

Deployment of a standardised best-practice platform using a proven approach that reduces time to value. Low-risk migration with a new Azure application or existing lift-and-shift focus, to safely migrate workloads to cloud.


Step 3: Managed services & Ongoing innovation

Services to manage cloud performance, optimise cost and ensure governance and security. Continually modernize and innovate throughout the business lifecycle for long term growth.


Logicalis Cloud Cost Optimisation

The service built on Logicalis-developed tooling and delivered by our experts​ that provides a single view of cloud costs across all cloud subscriptions, broken down by service, department or user-configurable tags​.

Cost control recommendations include:​
- Reserving instances over 1-3 years​
- Savings plans over 1-3 years​
- Licence optimisation​
- Performance-tier optimisation​
- Instance optimisation​
- Housekeeping of zombied-services​
- Power schedules for non-24/7 services​
- Data tiering policies​
- Auto-scaling policies​

The service is accessed through our web portal, from any device.

At a glance

https://store-images.s-microsoft.com/image/apps.55903.048f1425-43d9-47cb-951e-64fd51108e96.1240cc1e-1942-4921-8434-46339e4d9f7f.d0944f77-f8cb-40f3-bfc5-ff06b144c6fe