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Outdated Legacy Applications and Inefficient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
Transform your business with expert advice. Reach out to
our consultants and explore tailored solutions designed just
for you.
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