Approximately 44% of compute spending is allocated to non-production resources, leaving these resources idle for about 76% of the time outside a typical 40-hour work week
2.
Lack of Database Optimization
Inaccurate selection of cloud-native database options can contribute to an expensive cloud database implementation.
3.
Lack of Data Storage Optimization
Around 15% of customer bills go towards storage, with roughly 35% of that expenditure attributed to unattached volumes and snapshots. Based on Gartner’s spending data, an estimated $3.4 billion could potentially be squandered this year on orphaned volumes and snapshots
4.
Legacy Inefficient Architecture
Outdated Legacy Applications and Inefficient Architectures in Cloud Technology hinder scalability, agility, and innovation thereby lowering performance
5.
Licensing Challenges
Many companies face challenges in managing SaaS licenses, with over half reporting up to 24% unused licenses in 2019. Furthermore, issues like ‘shelfware’ and inaccuracies in cloud technology licensing and pricing contribute to unexpected costs.
Because of Suboptimal Cloud
Factors like inadequate processes, limited expertise, shifting business conditions, and the constant changes in business environment can create a less-than-ideal cloud setup. This might mean using too many resources without getting enough value or using too few resources and missing out on cloud benefits. The right approach involves continuously overseeing and managing costs to ensure they stay in check.
Controlling Cloud Cost..
is a continuous Process, Not a one time task
Actual Examples
Manufacturing Company
01
MAIN IDEA
Insufficient resource provisioning
Failed to track unused resources
Ignoring cost effective compute options
Lack of automation
02
BEFORE
Extra VMs for heightened workloads caused overspending. Cloud 9 analyzed and tailored solutions for anticipated and unexpected workload peaks.
03
AFTER
For enhanced efficiency and savings, we considered Azure Functions for event driven tasks. This method scaled resources as needed, cutting costs and eliminated provisioning delays by preparing resources before workload spiked.
04
SAVINGS
Client was able to save 41% on Azure Virtual Machine cost
Large Bank
01
MAIN IDEA
Not Leveraging right AZ SQL Database, staying with SQL VM
02
BEFORE
Customer upgraded to expensive Azure VM databases for compliance and business needs, potentially quadrupling annual budget allocation
03
AFTER
Cloud 9 leveraged lowcode/no-code tools— Logic Apps, runbooks, Azure monitoring—to bridge Azure SQL Database gaps, meeting compliance and goals without exceeding the budget by fourfold, unlike full Azure SQL on VM
04
SAVINGS
4X on budgeted data cost
Dental Practice
01
MAIN IDEA
Teams scale resources without considering cost consequences, leading to budget overruns in the absence of controls. Inefficiencies are further exacerbated by inconsistent resource tagging and a failure to utilize Reserved Instances and appropriate plans.
02
BEFORE
The lack of efficient, granular, and correct resource tracking, along with the absence of granular project-level tags, led to resources running beyond their intended use, escaping audit, and exceeding the budget.
03
AFTER
C9 audited and enforced accurate, precise, and standardised tagging, resulting in the identification and removal of redundant resources that were previously overlooked after project completion due to inadequate tagging.
04
SAVINGS
Dental practice ended up saving 45% cloud cost by eliminating all the provisioned resources cost.
Logistical Company
01
MAIN IDEA
Using Lift & Shift instead of Cloud-native design, relying on legacy monolithic architecture, inefficient scalability and absence of modernisation like microservices, containers, and server less setup.
02
BEFORE
The customer’s adoption of the common Lift & Shift approach during their cloud migration resulted in a significant number of underutilized cloud resources and cloud operation costs exceeding the budget.
03
AFTER
Cloud 9’s analysis identified microservices to aid legacy app, eliminating reliance on resourceheavy monolithic systems. Embracing cloudnative microservices surpassed desired functionalities
04
SAVINGS
Unquantifiable savings by retaining the monolithic legacy app and replacing resource heavy, low performing modules with cloud native microservices leading to achieving and exceeding performance goals in budget.
Summary
Cloud Cost Optimization is a Continuous Process
Optimization Requires Periodic Audits
To Get Most Of Your Cloud Spend Leverage Modern Cloud Services Such as PAAS, Serverless, and Microservices
How Do I Get Started?
We Start with Assessment
We Assess Your Current Environment
We Learn About Your Business Priorities
We Understand Your Future Direction
An Assessment provides with a prescriptive guidance i.e. Tactical & Strategic on how to optimize your Azure Environment without Compromising on Performance, Agility, Resiliency and Security
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