Cloud and infrastructure services are the backbone of modern digital transformation—driving agility, scalability, and cost efficiency across industries.
As businesses migrate to the cloud to enhance innovation and streamline operations, understanding key service models, deployment strategies, and best practices becomes critical.
This infographic provides an in-depth look into the cloud landscape, benefits, emerging trends, and essential strategies to help organizations optimize their cloud investments for sustained growth.
Conclusion
Cloud and infrastructure services are pivotal in fueling digital transformation, enabling businesses to innovate, scale, and remain agile in a competitive landscape.
Organizations can unlock significant benefits by understanding various service models, deployment types, and best practices—from migration and data management to governance, sustainability, and cost optimization.
Advanced trends like edge computing, AI integration, and multi-cloud strategies further propel businesses forward.
Cloud migration is a strategic business decision that enables organizations to move data, applications, and infrastructure to the cloud. This can unlock enhanced scalability, agility, and cost efficiency.
On the other hand, the process has many challenges. Organizations face pitfalls that can derail projects, leading to increased costs, operational disruptions, and security vulnerabilities.
In this blog, we will explore the top five most common cloud migration pitfalls and provide actionable strategies for avoiding them.
1. Inadequate Planning and Strategy
The Pitfall
One of the most significant mistakes organizations make is diving into cloud migration ventures without a pre-defined roadmap or strategies.
Rushing into it without thorough planning could result in misaligned goals, inefficient processes, and increased dependencies.
Without the right plan, you risk facing unexpected technical challenges, budget overruns, and operational inefficiencies.
Why It Happens
Lack of Clear Objectives: Many businesses don’t have a clear objective about what they want with the migration such as cost reduction improved performance or enhanced security.
Insufficient Stakeholder Involvement: When teams make decisions without taking inputs from business leaders the migration activities may not be productive for the business.
Underestimating Complexity: Businesses often underestimate the complexity of migrating their legacy systems and application modernization activities.
How to Avoid It
Develop a Comprehensive Migration Strategy: Start with a clear understanding of the business goals. Identify what you want from your migration venture. You should also consider developing a detailed framework including timelines, milestones, and responsibilities.
Conduct a Thorough Assessment: Perform a comprehensive audit of your environment. Determine the dependencies, applications, data sets, and workflows that will be impacted. This audit process should determine the existing legacy systems as well as dependencies to avoid complications.
Engage Stakeholders Early: Include all the team members and relevant stakeholders when deciding on the migration process. A cross-functional team can provide diverse perspectives which will ensure that your efforts align with the business strategies.
Create a Detailed Roadmap: You can also break down the migration process into multiple phases. This will define the various checkpoints as well as lay out the various contingency plans to address the issues when they arise during the process.
By strategizing your efforts beforehand you can reduce the risk of unexpected hurdles.
2. Underestimating Data Complexity and Legacy Systems
The Pitfall
Project data is the single most valuable asset for any organization. Migrating it from a legacy system is a complex process and takes time.
Organizations oftentimes underestimate the complexities involved in transferring data accurately and securely.
These legacy systems can present compatibility issues which can complicate the migration process.
Why It Happens
Data Silos and Disorganization: Oftentimes data remains scattered across multiple systems and formats, which makes it hard to integrate into modern cloud platforms.
Legacy Application Dependencies: Many legacy systems rely on outdated technologies that don’t integrate effectively with cloud environments. This can lead to compatibility and performance issues.
Volume and Velocity: Large data sets and the need for real-time access can affect migration efforts which can lead to data loss and corruption.
How to Avoid It
Conduct a Data Audit: Determine the structure and volume of the data you want to migrate. Find the data silos as well as establish a data governance framework.
Plan for Data Transformation: Not all data can be moved in its original format. You need to clean, transform, and reformat data to ensure that it’s compatible with the cloud platform.
Leverage Automated Tools: Leverage migration tools and platforms when handling large data volumes; also minimize manual errors by automating data mapping processes.
Test Extensively: Pre-migration testing will enable you to identify potential issues such as data compatibility and performance; which will in turn fine-tune your approach.
3. Overlooking Security and Compliance Requirements
The Pitfall
Security and compliance are necessary to adopt cloud solutions and need to be strategized beforehand. Yet, if you are overlooking these aspects your organizations will face significant risks.
When it comes to cloud environments, you need to configure them to prevent data breaches and avoid creating compliance violations and other cyber threats. Why It Happens
Assumption of Provider Responsibility: Some organizations believe that the cloud provider should exclusively take care of the application’s security. However, the cloud service providers provide robust security measures but the organization should themselves configure and manage security appropriately.
Rapid Migration Pressure: Don’t skip security configurations and compliance checks to complete a migration
Complex Regulatory Landscapes: Ensure to meet industry-specific regulations and standards such as GDPR, HIPAA, or PCI-DSS.
How to Avoid It
Adopt a Security-First Approach: Integrate security considerations into every stage of your migration process. Develop a detailed security policy that covers data encryption, access controls, and incident response strategies.
Understand Shared Responsibility: Define the right security responsibilities for your organization against those of the cloud providers. You need to configure all security settings such as firewalls, identity management, and monitoring tools.
Ensure Regulatory Compliance: Team up with legal and compliance teams to map out all other regulatory needs that are relevant to the industry. Also, conduct regular audits and use compliance management tools to remain aligned with the regulations.
Implement Continuous Monitoring: Once your data is in the cloud, it becomes imperative that you continuously monitor for vulnerabilities and unusual activity.
By addressing this security and compliance proactively, you can mitigate risks as well as ensure that your cloud environment is safe and compliant.
4. Mismanaging Costs and Budget Overruns
The Pitfall
Cost management is a significant factor when migrating to the cloud. If you have not planned out your budget, unexpected expenses can quickly add up.
Many organizations find themselves facing budget overruns due to hidden costs and unexpected operational expenses.
Why It Happens
Underestimating Operational Costs: Many organizations focus on initial costs but don’t account for operational expenses. These expenses include data transfer fees, storage costs, and also cloud service management.
Resource Misallocation: Without learning how cloud resources are used, companies may overestimate, leading to wasted resources and higher costs.
Lack of Visibility: Lack of monitoring and reporting can lead to over budgeting which can make it difficult to manage expenses.
How to Avoid It
Conduct a Detailed Cost Analysis: Before you migrate, you need to perform a cost-benefit analysis. You also need to consider the initial migration costs as well as long-term operational expenses. Also, integrate cloud cost calculators provided by top cloud providers.
Adopt a Cloud Cost Management Tool: Integrate tools that will provide visibility to your cloud migration efforts. These tools can enable you to monitor resource usage, optimize costs as well as find areas where you can cut unnecessary expenses.
Right-Size Your Resources: Work with the IT team to ensure only the necessary resources. This includes solutions such as auto-scaling, resource optimization strategies, etc.
Regular Audits and Reviews: Determine the best method for auditing. To achieve this you need to determine the cloud spending as well as adjust various strategies to avoid budget overruns.
5. Insufficient Training and Change Management
The Pitfall
It’s worth noting that when implementing new technology and processes you need to adapt as well. Without the right training and change management teams can struggle to utilize the new systems effectively. This can lead to operational inefficiencies, reduced productivity, and frustration among employees.
Why It Happens
Over-Reliance on Technology: Many organizations focus so much on the technical aspect of migration that they oversee the importance of educating the workforce to adapt.
Resistance to Change: Employees accustomed to legacy systems may even resist new tools and processes.
Inadequate Training Programs: If you skimp on training and support you can leave teams feeling unprepared and overwhelmed by the cloud environment.
How to Avoid It
Develop a Comprehensive Training Plan: Invest in training programs that can cover both the technical and operational aspects of the new cloud environment. These training programs could include workshops, webinars, and hands-on training sessions.
Communicate Benefits Clearly: Assist your team in understanding how the migration will make their work easier and more efficient. Stress upon improvements such as collaboration, scalability, and performance.
Implement a Change Management Strategy: A strategic change management can assist you in a smooth transition. This involves clear communication, phased rollouts, and greater feedback and support.
Provide Ongoing Support: You need to ensure that the support you provide is readily available during and even after the migration process. This also includes dedicated help desks, online resources, and regular check-ins to address concerns and gather feedback.
Prioritize training and change management, so that you can empower your employees to embrace the new cloud environment and also ensure that your migration activities are up to the specs.
Conclusion
Cloud migration can push businesses into a new era of agility, scalability, and innovation. But the path is riddled with various pitfalls such as inadequate planning and data complexities.
By understanding these common pitfalls and implementing the strategies outlined you can avoid costly mistakes and ensure a smooth and efficient migration.
With the right planning, continuous monitoring, and proactive management, your organization can avoid common pitfalls so that you can reap the benefits of modern organizations.
Cloud technology is now everywhere. It is changing how businesses are building their web and mobile applications. This is making things faster, simpler, and more efficient. If you are not yet leveraging cloud technology, you are missing out on a big advantage.
In this blog post, we will break down what cloud technology is, why it’s important, and how it is helping your application projects. We will also share some tips and talk about real-world examples.
What is Cloud Technology?
Cloud technology is all about using remote servers to store, manage, and process data; It lets you access resources such as storage, computing power, and software online.
Some popular cloud providers are:
AWS (Amazon Web Services)
Microsoft Azure
Google Cloud
These platforms provide you with the essentials needed to help developers build applications, manage data, and use AI to analyze information.
Why is Cloud Technology Important for Apps?
Modern applications need the flexibility, speed, and reliability of cloud technology. It provides the following to modern apps.
1. Scalability: Adjust your resources based on demand
2. Cost Savings: Pay only for what you use
3. Global Access: Users get the same app experience across the globe
4. Quick Integration: Use pre-built tools to speed up development
It enables developers to focus on building great apps without worrying about managing servers.
Benefits of Using Cloud Technology
1. Scalability and Flexibility
Cloud services also facilitate apps to scale on demand. For example:
Handle high traffic during sales.
Manage more players during an app tournament.
2. Faster Development
Teams can work together from anywhere using the cloud tools. They can:
These are ready-to-use apps that don’t need installation. Simply log in and start using it.
Examples: Slack, Dropbox.
Use Case: File sharing and team collaboration.
4.BaaS (Backend as a Service)
They are pre-built backends for all types of applications
Examples: Firebase, AWS Amplify.
Use Case: Apps with push notifications and authentication.
5. Server-less Computing
With Serverless computing, you can develop apps without managing servers.
Examples: AWS Lambda, and Google Cloud Functions.
Use Case: Event-driven apps or microservices.
Real-World Examples of Cloud-Powered Apps
1. E-commerce: Amazon leverages AWS to handle global sales traffic and inventory.
2. Streaming Services: Platforms like Netflix use AWS to streamline shows and recommend content.
3. Healthcare: Healthcare apps store patient records securely and facilitate remote consultations.
Challenges of Cloud Technology
1. Data Privacy: Follow regulations such as GDPR and HIPAA.
2. Downtime Risks: They can disrupt the app hence choose a reliable provider.
3. Cost Management: If you can’t monitor usage, costs increase manifold times.
4. Vendor Lock-In: Switching between cloud providers can be challenging.
Tips for Using Cloud Technology
Pick the right service: Choose the right services such as IaaS, PaaS, and Saas for your application needs.
Focus on security: Implement multi-factor authentication tools.
Plan for downtime: Get backups and recovery solutions.
Watch costs: Use tools like AWS Cost Explorer to manage expenses.
Conclusion
Cloud technology is a game changer for modern web and mobile applications. It makes them scalable, cost-efficient, and globally accessible.
You should start small with platforms such as AWS, Google Cloud, and Azure as well as implement how cloud technology can elevate app development.
FAQs
Q. What is the best cloud platform for web and mobile apps?
Choosing the best cloud platform depends on your requirements. AWS offers extensive services and scalability; Google Cloud is best for AI and analytics. Azure is best for enterprises that are using Microsoft products.
Q. Can small businesses benefit from cloud technology?
Yes! Cloud technology is cost-effective and scalable which makes it suitable for businesses of all sizes. Many Small businesses can simply start with minimal resources and scale as they grow.
Q. Is cloud technology secure for sensitive data?
Reputable cloud providers provide robust security features such as encryption, access control, and compliance certifications.
By the way, we do not want to make any comment on that nor want to make any comparisons.
But any user data of any application is a primary concern in today’s market. Service providers must satisfy their end-users by making much-required transparency of data privacy policies.
A few years back, there was only a fundamental shift in how companies do business online, and about data privacy. But after the intervention of cloud-based business strategy things have changed.
Now building credibility as a cloud-based business is harder than ever.
Let’s take the SaaS market. To make the subscription payments option available, the SaaS companies need a strong focus on keeping customer data secure and communicating that security to their users.
Just letting strengthen the privacy concerns are not enough though – the SaaS Application builders need concrete security measures in place that customers can easily understand.
Here we have put together some of the basic information and best practices on data security policies to help you get started with securing your SaaS application. Let’s dive in!
Basic things about SaaS security
SaaS security refers to the data privacy and safety of user data in subscription-based software i.e. Orangescrum, Wakeupsales, etc.
Each day, SaaS companies access, and analyze various data of customers. Even including the credit and debit card details.
As a SaaS founder, If you fail to keep those data safe, it will have a direct and lasting impact on your user retention and business growth.
With high-profile leaks like Cambridge Analytica happening more often, customers are increasingly concerned with their data privacy.
Concerning the customer data safety, different country’s regulatory bodies have issued various security guidelines like GDPR, EU-US and the Swiss-US Privacy Shield Frameworks, etc. These are mandatory to follow as a SaaS company.
And all these guidelines declares “Doing so ensures that whatever data your product has access to, it’s kept secure in a way that customers can understand—whether you’re dealing with internal or external issues.”
Also, the SaaS companies need to consider the data leakage.
As well as keeping secret your customer data you need to protect these customer data from outside attacks also. Or I can say you need to create a secure environment to run your SaaS application.
So, you need to make a dedicated strategy for your SaaS product during the development process.
The best practices to ensure data privacy and security:
Whether you’re developing a new SaaS product or rolling out a new feature, it’s important to consider how these changes will impact your SaaS Application’s security.
Image Source: Profitwell
Keep the following best practices in mind to ensure your data privacy and security.
Encrypt your data
Encrypting the internal or user data should be the top priority through every layer of your technology stack.
A proper encryption ensures that the customer data isn’t immediately out there for all to see.
And let this know to your customers that your product is always keeping all sensitive billing information safe by communicating your encryption policies.
Not to mention, there are many common encryption protocols to use, each ensuring that the data you rely on isn’t stored in plain text.
Make privacy a priority
Privacy and security statements are required by most compliance and regulatory protocols, but that’s not all they’re good for.
By creating a robust statement for your own product, it educates both your team and your customer in how to handle valuable data.
Work with your development and legal teams to define the specific information that should be included in your own privacy policy.
Educate your customers
According to Gartner research, customers will be responsible for 95% of cloud security failures by 2020.
Whenever you onboard new customers or push important updates to current ones, make sure that you’re actively reaching out to let people know how it will impact their security.
More and more SaaS companies are moving to an entirely cloud-based infrastructure and most customers don’t understand the implications of this move.
Make sure your customers know how to keep their information safe to minimize security issues.
Backup user data in several locations
Lots of businesses aren’t prepared for data breaches, which makes effective customer data management very important.
Backing up your data in several locations ensures that no single system failure will damage your security.
Many cloud platforms SaaS companies rely on will provide this functionality as a part of their product, but you need to be diligent with backups to avoid potentially disastrous losses of customer data.
Consult a cyber-security firm
Third-party security firms can provide valuable industry insight into what you need to do to keep your platform secure.
Their testing protocols ensure that your software, network, and infrastructure is kept safe at all times.
As you’re building out your product, these third-party providers can also help you create plans for if/when a breach occurs.
Require stronger passwords
Even when they understand the risk of this practice, many people still use the same password for every login.
Prevent users from making their data vulnerable by requiring strong passwords when they create accounts.
Consider setting up authentication protocols and case sensitivity guidelines.
As the subscription economy continues to mature, a focus on security will only become more important. Always evaluate your current protocols to make sure you’re staying compliant as your company grows.
Takeaways
With a strong focus on SaaS security, you build trust in your product and foster an ecosystem that customers feel comfortable using.
Andolasoft puts user data security first
At Andolasoft, we are compliant with EU and US privacy regulations, we never sell your valuable customer data, and regularly perform security audits and penetration testing.
Check out our security statement for specific information on how we keep our SaaS business secure.
As people become more well-versed in their personal security, more secure products will also be more attractive to buyers.
Want to discuss more on SaaS Application data privacy? Let’s discuss!
Cloud Service has become one of the integral parts of life now. Everyone from mobile to desktop users is taking the advantages of the cloud. Microsoft OneDrive and Google drive are providing promising service through the cloud.
“Darwin’s theory of evolutionhas not only been exemplary of human beings but also of software industry.”
With evolution as the core of the software industry; one has observed changes in all fields of software. Be it Hotel Management, Sales and Marketing or be it Finance and Accounting; software and technology have kept on evolving.
In the arena of Accounting, adapting to the future of accounting software will determine the future of the companies.
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The future of accounting revolves mainly around these terms: cloud-computing, artificial intelligence, compliance and round the clock support.
1. Cloud Computing:
Accounts have migrated from earth to clouds with the Cloud-based Accounting Software. Cloud-computing has contributed to each field in the wide expanse of software fields.
With the help of cloud-based accounting software’s, accountants have access to the software from anywhere, only by possession of mobile, tablets, laptops or any internet-connected device. The secure systems having installed software are now portable.
2. Artificial Intelligence
Darwin’s theory of Evolution has surpassed humans, now even artificial intelligence is evolving. Artificial Intelligence is a miracle worker. Earlier self-computation of formulas, reconciliation of data with business strategy, prediction of finance requirements and numerous menial tasks required manual intervention.
Now they have been replaced by complex algorithms which make account’s life easier. The trend of artificial intelligence is here to stay.
3. Compliance
Future of any Accounting Software will depend on their compliance. Compliance with government norms of billing, filing, auditing, and taxes will determine the usability of the software.
Software providing these internally integrated services will be the best pick of accountants across the globe. Compliance will reduce the daunting task of collaboration with different departments of a firm.
4. Round The Clock Support
Earlier offline software required personnel support from the software companies. With cloud computing, personnel support will become virtual with telephonic and web-based support.
I’ve worked with the team at Andolasoft on multiple websites. They are professional, responsive, & easy to work with. I’ve had great experiences & would recommend their services to anyone.
The future will demand real-time support round the clock. This round the clock support will be provided by virtual assistants created with the help of artificial intelligence and supervised by human personnel.
With this advanced support as an all-time service, usage of accounting software will become more secure and easier than ever. Personal client interaction will continue, but virtual accounting services for purpose of support, collaboration and service are a necessity.
Thus, Darwinism in the field of accounting software would be an interesting field to research.
Analyzing the user demand of cloud/ SaaS app and software, Andolasoft is consistently developing powerful SaaS applications. Besides accounting software, Andolasoft has Project Management Software and CRM Application in the cloud. Moreover, we at Andolasoft are consistently building the name in the league of Product Development, Web & Mobile Application development.
Ruby handles Closures in a rather unique way, with Lambdas & Procs being two of the most powerful features.
A Closure basically has the following properties:
Can be passed around like an object
Remembers values of all the variables that were in scope.
Accesses the variables when called, even if they may no longer be in scope.
In Ruby, Closures are supported through Procs and Lambdas.
How Are These Objects Different?
The basic difference is in terms of returning the objects and argument passing.Lambdas check the number of arguments, while Procs don’t.
Here’s the code snippet for Lambdas:
[code language=”html”]
myblock = lambda { |p| puts p }
$> myblock.call(5)
#output: 5
$> myblock.call
#output: ArgumentError: wrong number of arguments (0 for 1)
[/code]
But, in case of Procs:
[code language=”html”]
proc= Proc.new { |p| puts p }
$> proc.call(5)
#output: 5
$> proc.call
#output: returns nil
$> proc.call(5,4,3)
#output: prints out 5 and forgets about the extra arguments
[/code]
Lambdas and procs treat the ‘return’ keyword differently. Here’s an example that uses Lambdas:
[code language=”html”]
def sample_method
lambda { return "Return me from the block here" }.call
return "Returning from the calling method"
end
$> puts sample_method
[/code]
Output: Returning from the calling method
Here’s another example using Proc.new:
[code language=”html”]
def my_method
Proc.new { return "Return me from the block here" }.call
return "Returning from the calling method"
end
$>puts my_method
[/code]
