Modern enterprises are hyper-focused on optimizing hybrid IT — for the suitable scaling of cloud environments and consumption intelligence, a siloed approach to IT management is obsolete now.
Today’s top challenges for organizations of all sizes are security, managing cloud spending, lack of resource expertise, understanding current cloud trends, technology selection, and investment strategy for upcoming business initiatives.
In 2022, the top two cloud initiatives are:
- Optimize existing cloud cost savings
- Migrate more workloads to the cloud
To achieve cost benefits, organizations must strive towards optimizations as they migrate by rightsizing and using automation to monitor and augment spending continually, ready to move more workloads to the cloud. To remediate these challenges, we need to undertake the Azure well-architected review.
Azure Well architected review examines your workload through the laser-sharp lenses of reliability, cost management, operational excellence, security, and performance efficiency. To that end, Microsoft provides a set of guiding tenets that can be used to enhance the quality of a workload. The said framework consists of five pillars of architectural excellence:
- Reliability
- Security
- Cost Optimization
- Operational Excellence
- Performance Efficiency
Incorporating these pillars help produce a high-quality, stable, and efficient cloud architecture.
- Reliability
- Security
- CostOptimization
- OperationalExcellence
- PerformanceEfficiency
Cloud optimization can be a smooth process with the right tools and approach. There is an ever-growing list of best practices to follow that is constantly transitioning as workloads evolve. Add the challenges and emergencies we face on a day-to-day basis, and it’s easy to understand why it’s hard to be proactive about ensuring your cloud resources are running at optimal levels.
Azure offers several ways to help ensure that you’re running your workloads to their fullest potential and getting the most out of your investment. Here are a few strategies that we can adopt:
Optimizing Existing Workloads
- Leverage Azure Advisor Score to identify optimization opportunities
- Understand changes needed or incidents occurred
- Review Well-Architecture Framework
- Consider architecture design tradeoffs to achieve business goals
- Define and implement recommendations
- Establish a regular cadence for workload optimization
Design and Deploy New Workloads
- Align workload architecture to business priorities
- Review Well-Architecture Framework
- Leverage the Azure Well-Architected Review to assess workload architecture design
- Consider architecture design tradeoffs to achieve business goals
- Build, deploy and manage workloads on Azure
Happiest Minds Solution
Azure Well Architected Review is a successful model implemented and executed by Happiest Minds for our clients. Some of these mentioned practices have been in use for many years, with several clients noticing outstanding improvements in their performance baselines, better-than-ever systemwide availability, reduction in bottlenecks, and improved security.
At Happiest Minds, we are driving the optimization of IT systems for greater reliability, improving data-driven decision-making and maintaining value integrity, accelerating the pace of product delivery, and enabling business model change. We are equipped with over 10+ years experienced and certified solution architects to perform and execute the Azure WAR efficiently.
Get in touch with a Happiest Minds Azure specialist today to understand the most proficient method of using all Azure capacities in your business.
is the Associate Director and Head of Microsoft Practice for Digital Business Solutions at Happiest Minds. He has 21+ years of experience in the Tech industry and has proven expertise in Presales, Solutioning in Azure, D365, and Power Platform, having implemented complex global solutions leveraging Microsoft Technologies. At Happiest Minds, Pradeep is primarily responsible for business outcomes and is a subject matter expert with Microsoft Technologies.
