#Cloud-Native Application Development

[kasparlavik]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[rosaliploeger229-blog]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[simoneschroeder777-blog]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[romaincaisse-blog]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[tracycook878-blog]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[enterprise-cloud-services]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[paulcook159-blog]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[public-cloud-computing]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[rubylogan15]

Serverless computing is the future. Early adopters are already reaping the benefits; get started with a proprietary or open-source serverless platform today.

[jcmarchi]

LambdaTest Raises $38M to Advance Software Quality Assurance with KaneAI, the Intelligent Testing Assistant

New Post has been published on https://thedigitalinsider.com/lambdatest-raises-38m-to-advance-software-quality-assurance-with-kaneai-the-intelligent-testing-assistant/

LambdaTest Raises $38M to Advance Software Quality Assurance with KaneAI, the Intelligent Testing Assistant

As software teams race to deliver seamless, high-quality digital experiences, LambdaTest—a leading intelligent, cloud-based QA platform—has secured $38 million in new funding. Led by Avataar Ventures, with participation from Qualcomm Ventures, this latest round brings LambdaTest’s total capital raised to $108 million. With more than 15,000 customers, including Fortune 500 and G2000 enterprises, and over 2.3 million developers and testers worldwide, LambdaTest is poised to redefine the future of software testing.

A New Era in Software Quality Assurance

LambdaTest’s core mission is to help businesses accelerate time to market through AI-driven, cloud-based test authoring, orchestration, and execution. By streamlining traditional quality engineering workflows, the company empowers development teams to deliver reliable, user-friendly software faster than ever before.

Key Advantages of LambdaTest’s QA Platform:

Cloud-Based Efficiency: Reduce dependency on complex in-house infrastructure by running tests on the cloud at scale.

Omnichannel Assurance: Test web and mobile apps across thousands of browser and OS combinations, ensuring the highest quality digital experiences.

Accelerated Delivery: Employ continuous testing practices and deliver features up to 70% faster, with fewer bugs slipping into production.

Meet KaneAI: The Intelligent Testing Assistant

Central to this advancement is KaneAI, LambdaTest’s intelligent testing assistant that replaces time-consuming manual scripting with AI-driven test automation. KaneAI uses large language models (LLMs) and intuitive natural language inputs to create, debug, and evolve tests dynamically.

With KaneAI, Teams Can:

Reduce Manual Effort by up to 40-70%: Focus on strategic quality initiatives rather than repetitive test case writing.

Easily Adapt to Change: Quickly update test suites as codebases evolve, ensuring that QA keeps pace with rapid release cycles.

Leverage No-Code Approaches: Allow non-technical stakeholders to participate in the testing process, broadening collaboration and improving coverage.

HyperExecute: Accelerating Test Execution and CI/CD Pipelines

Paired with KaneAI is HyperExecute, LambdaTest’s advanced test execution and orchestration cloud. HyperExecute intelligently distributes and executes tests in parallel, delivering:

2.5x Faster Test Resolution: Quickly identify and address issues before they impact end-users.

60% Quicker Error Detection: Surface and categorize errors with AI assistance, minimizing downtime.

Seamless CI/CD Integration: Integrate with popular pipelines like Jenkins, CircleCI, and GitHub Actions to maintain rapid release cadences without sacrificing quality.

Unified Testing Across Browsers, Devices, and More

To ensure top-notch digital experiences, LambdaTest offers a Browser Testing Cloud that supports both manual and automated testing on over 5,000 browser and OS combinations. Additionally, the Real Device Cloud enables testing on physical iOS and Android devices, simulating real-world conditions that reveal critical performance, UI, and functional issues before app updates reach end-users.

By Leveraging These Capabilities, Teams Can:

Validate usability and compatibility across diverse browsers and platforms.

Identify bottlenecks and visually compare UI states to ensure consistent customer experiences.

Confirm that apps run smoothly under varying network conditions and device performance profiles.

Deep Integrations for a Complete Testing Ecosystem

LambdaTest seamlessly integrates with 120+ tools and frameworks, from Selenium, Cypress, and Playwright to CI/CD platforms, project management systems, analytics dashboards, and more. This unified ecosystem ensures that QA insights inform every stage of development, enabling tighter collaboration among developers, testers, product managers, and business stakeholders.

Some Integration Highlights:

Project Management: Connect with Jira, Asana, and Trello to log issues and track progress.

CI/CD Pipelines: Plug into Jenkins, CircleCI, GitHub Actions, or Azure DevOps for continuous testing at scale.

Analytics & Reporting: Aggregate test data, generate custom dashboards, and glean actionable insights into performance, coverage, and reliability.

Why Enterprises Choose LambdaTest

Large-scale organizations trust LambdaTest to help them innovate faster, maintain reliability, and increase return on investment. By unifying test environments, eliminating infrastructure hassles, and enabling AI-powered automation, LambdaTest accelerates the path from code commit to product release—without compromising on quality.

Core Benefits Include:

Increased Release Velocity: Streamlined workflows and quicker feedback loops mean faster iterations.

Improved Developer Productivity: Engineers focus on creating features, not fighting infrastructure or manual QA tasks.

Enhanced Observability and Insights: Real-time dashboards, error categorization, and flaky test analysis guide informed decision-making.

Backed by Industry Leaders

Investors recognize LambdaTest’s potential in shaping the future of QA. “As AI applications become more prevalent, continuous testing with AI-driven automation is essential,” noted Quinn Li, Senior Vice President of Qualcomm Technologies, Inc. Similarly, Nishant Rao, Founding Partner at Avataar Ventures, highlighted LambdaTest’s disruptive approach: “They’ve introduced AI-native, no-code QA solutions and enterprise-grade test orchestration, redefining industry standards.”

Looking Ahead

With the new $38 million infusion, LambdaTest will continue to drive advancements in AI-powered testing, ensuring that every software interaction meets the highest quality standards. As enterprises transition to cloud-native, iterative development models, LambdaTest is uniquely positioned to serve as a strategic partner—delivering unparalleled efficiency, intelligence, and reliability to teams worldwide.

[agiledock]

Harnessing Containerization in Web Development: A Path to Scalability

Explore the transformative impact of containerization in web development. This article delves into the benefits of containerization, microservices architecture, and how Docker for web apps facilitates scalable and efficient applications in today’s cloud-native environment.

[grey-space-computing]

Why Cloud Technology is Essential for Scalable Mobile Apps

1. Introduction

As mobile applications continue to evolve and grow in popularity, ensuring their scalability becomes more critical than ever. The capacity to handle increasing loads and provide a seamless user experience is no longer just a technical challenge; it’s a business imperative. Cloud technology has emerged as a key solution to these challenges, offering the flexibility and resources necessary for scalable mobile app development. In this article, we’ll explore why cloud technology is essential for scalable mobile app development, with a focus on custom mobile app development in Saudi Arabia.

2. Understanding Cloud Technology

Cloud technology involves utilizing remote servers accessed online to store, manage, and process data, instead of depending on local servers or personal devices. It has revolutionized the way mobile applications are developed, offering a range of services that cater to the needs of developers and businesses alike.

2.1 Types of Cloud Services

Three primary cloud service models exist:

Infrastructure as a Service (IaaS): Offers virtual computing resources delivered over the internet. Developers can rent virtual machines, storage, and networks, allowing them to scale resources up or down as needed.

Platform as a Service (PaaS): Offers a platform for developers to build, deploy, and manage applications, easing the scaling process without the need to manage the underlying infrastructure.

Software as a Service (SaaS): Delivers software applications online on a subscription model. Users can access these applications via the web without managing the infrastructure or platform.

2.2 Benefits of Cloud Technology

Cloud technology offers numerous benefits that make it indispensable for modern mobile app development:

Scalability: Cloud services can quickly scale to accommodate increasing traffic or data loads, ensuring that apps remain responsive and efficient.

Flexibility: Developers can deploy and manage apps across multiple regions and platforms, providing users with consistent experiences regardless of location.

Cost-Efficiency: With pay-as-you-go pricing models, businesses can optimize costs by paying only for the resources they use, avoiding the need for significant upfront investments.

3. Importance of Scalability

Scalability is the ability of a mobile app to handle a growing number of users and transactions without compromising performance. In markets like Saudi Arabia, where mobile app usage is on the rise, scalability is crucial for maintaining user satisfaction and ensuring long-term success.

3.1 Challenges in Traditional Scaling

Traditional scaling methods, such as adding more physical servers or upgrading existing hardware, can be both expensive and time-consuming. They also often fail to provide the flexibility needed to adapt to sudden changes in demand, leading to performance issues and potential downtime.

4. Cloud Technology for Mobile App Scalability

Cloud technology addresses the limitations of traditional scaling by offering advanced tools and services that make it easier to scale mobile apps efficiently.

4.1 Elasticity and Auto-Scaling

Elasticity is a key feature of cloud computing, allowing resources to be automatically scaled up or down based on current demand. Auto-scaling ensures that mobile apps can handle traffic spikes without compromising performance, providing a seamless user experience.

4.2 Load Balancing and Traffic Management

Cloud-based load balancing distributes incoming traffic across multiple servers, preventing any single server from becoming overwhelmed. This not only improves app performance but also enhances its reliability and availability.

4.3 Data Management and Storage

Cloud services offer scalable data storage solutions that can accommodate vast amounts of data generated by mobile apps. These solutions are designed to be both secure and accessible, ensuring that app data is managed efficiently.

5. Custom Mobile App Development in Saudi Arabia

Saudi Arabia is experiencing rapid growth in mobile app usage, driven by a tech-savvy population and a strong economy. Custom mobile app development is essential for businesses looking to meet the specific needs of Saudi users and gain a competitive edge in the market.

5.1 Market Trends and Demands

The Saudi Arabian market is characterized by a high demand for innovative, user-friendly apps that cater to both consumers and businesses. As the government pushes for digital transformation under its Vision 2030 initiative, the demand for custom mobile apps is expected to increase significantly.

5.2 Considerations for Local Developers

Developers targeting the Saudi market must consider local preferences, cultural nuances, and regulatory requirements. Additionally, they must ensure that their apps are scalable to handle the growing number of users in the region.

6. Case Studies and Success Stories

To understand the impact of cloud technology on scalable mobile app development, we can look at successful case studies from around the world and within Saudi Arabia.

6.1 Global Case Study

An example of a global mobile app that successfully leveraged cloud technology for scalability is Netflix. By utilizing cloud services, Netflix can stream content to millions of users simultaneously, without interruptions or performance issues.

6.2 Saudi Arabian Case Study

In Saudi Arabia, the ride-hailing app Careem has become a success story by utilizing cloud technology to scale its operations. Careem’s cloud-based infrastructure allows it to handle millions of rides across the region, ensuring a smooth experience for both drivers and passengers.

7. Future Trends in Cloud and Mobile App Development

The future of mobile app development will be shaped by emerging trends in cloud technology, with a focus on enhancing scalability and user experience.

7.1 AI and Machine Learning in Cloud

Artificial Intelligence (AI) and Machine Learning (ML) are becoming increasingly integrated into cloud services, offering predictive analytics, personalized experiences, and improved decision-making capabilities. These technologies will play a critical role in enhancing the scalability of mobile apps.

7.2 The Rise of Edge Computing

Edge computing, which involves processing data closer to the source of data generation, is expected to revolutionize mobile app development. By reducing latency and improving real-time data processing, edge computing will enhance the scalability and performance of mobile apps.

8. Best Practices for Cloud Implementation

Successfully implementing cloud technology demands thorough planning and adherence to best practices, especially regarding scalability.

8.1 Security and Compliance

Ensuring data security and compliance with local regulations is paramount when using cloud services. Developers should implement robust security measures, such as encryption and multi-factor authentication, to protect app data.

8.2 Cost Management Strategies

Managing costs is a key concern for businesses using cloud services. By optimizing resource usage, leveraging cost management tools, and choosing the right pricing models, businesses can keep costs under control while scaling their apps.

9. Conclusion

Cloud technology has become essential for scalable mobile app development, offering the flexibility, efficiency, and resources needed to meet the demands of a growing user base. For businesses in Saudi Arabia, leveraging cloud services is key to staying competitive in a rapidly evolving market. By understanding the benefits and best practices associated with cloud technology, developers can create mobile apps that not only meet current demands but are also poised for future growth.

10. FAQs

Q1: What is cloud technology in mobile app development?Cloud technology involves utilizing remote servers accessed through the internet to store, manage, and process data. This enables mobile apps to scale efficiently and manage growing user demands.

Q2: Why is scalability important for mobile apps?Scalability ensures that a mobile app can handle an increasing number of users and transactions without compromising performance, which is crucial for maintaining a positive user experience.

Q3: How does cloud technology enhance app scalability?Cloud technology provides features like elasticity, auto-scaling, and load balancing, which allow mobile apps to scale dynamically in response to changing demand.

Q4: What are some challenges of traditional scaling methods? Traditional scaling methods, such as adding more physical servers, can be costly, time-consuming, and inflexible, making them less effective for modern mobile apps. Q5: What are the key considerations for developing custom mobile apps in Saudi Arabia? Developers should consider local market trends, user preferences, cultural nuances, and regulatory requirements, as well as ensuring their apps are scalable to handle growing demand.

[mearastec]

Navigating CLOUD acceleration with Mearas Technologies 

grow on the cloud, be sure to book a consultation with us today. The popularity cloud applications have been gaining is not new news. Gartner has predicted that by 2025, 85% of organizations worldwide will have adapted to cloud solutions in some way. This number signifies how great the impact of exploring and taking steps towards cloud enhancement plays. Working on building a cloud ecosystem that aligns with your needs is what will set your business apart in terms of operational efficiency in the coming years. Not only is the number of organizations migrating to the cloud high, but as per the same study, it is also stated that over 95% of the new-age digital workloads will be deployed on cloud-native platforms which is a huge jump from the previous 30% in 2021. Cloud native applications utilize microservices as opposed to single-block structures. These applications bring with them cost-saving benefits as hardware is not to be acquired and only licensing, maintenance, and storage costs are to be considered. 

[metaficco]

12-Factor App Methodology: Essential Web Development Best Practices for Modern Apps

Explore the 12-Factor App Methodology and uncover web development best practices that enhance scalability and maintainability. This comprehensive guide delves into 12-Factor App Principles, offering insights into effective software development methodologies and their impact on cloud-native applications.

[softweb-solutions]

A complete guide on cloud-based applications for technology leaders

As a software engineer, cloud engineer, DevOps engineer, SRE engineer, or tech leader, you’re likely familiar with the terms ‘cloud-based applications’ and ‘cloud-native applications.’ But what do these terms really mean, and how can they transform your organization’s product development and management? This article is not just about buzzwords. It is a comprehensive guide that will equip you with the knowledge to enhance scalability, high availability, and speed up your solutions delivery.

Let’s get started.

Traditional applications vs. cloud-based applications vs. cloud-native applications

Let’s start with understanding the differences between traditional, cloud-based, and cloud-native applications.

Traditional applications

Architecture: Monolithic, tightly coupled with underlying OS

Development duration: Longer development cycles, released as one package

OS dependency: High dependency on the underlying OS

Scalability: Requires additional hardware and complex processes to scale

Cost model: High upfront costs, requires investment in hardware

Release time: Slower release cycles, updates and bug fixes take longer

Transition: Handoffs between development and operations teams, creating silos

Development / Operations cost: High setup and maintenance costs, less efficient in resource usage

Automation: Limited automation, more manual processes

Downtime: Higher downtime during updates and maintenance

Backup and recovery: Low backup capabilities, manual and error-prone

Modularity: Tightly coupled components, harder to update and scale

Flexibility: Limited flexibility, changes require significant effort

Efficiency: Lower efficiency, manual processes and limited resource optimization

Testability: Manual testing processes, slower feedback cycles

Disposability: Long startup and shutdown times, less robust to failures

User experience: Potentially slower, less responsive, dependent on hardware capacity

Resource allocation: Static resource allocation, often under or over-provisioned

Security: Security managed in-house, potentially higher risk of breaches

Innovation: Slower pace of innovation due to longer development cycles

Cloud-based applications

Architecture: Often migrated from traditional architectures, can be monolithic or modular

Development duration: Faster than traditional due to cloud integration, but slower than cloud-native

OS dependency: Reduced dependency, often uses virtual machines or managed services

Scalability: Easier to scale than traditional, uses cloud resources but may face some limits

Cost model: Pay-as-you-go model, more cost-effective than traditional

Release time: Faster release cycles than traditional, but not as quick as cloud native

Transition: Smoother than traditional, but still may involve some handoffs

Development/Operations cost: Lower costs than traditional, utilizes cloud resources

Automation: More automated than traditional, uses cloud services

Downtime: Reduced downtime compared to traditional, but not as minimal as cloud-native

Backup and recovery: Improved backup capabilities using cloud solutions

Modularity: More modular than traditional, but may still have some monolithic aspects

Flexibility: More flexible than traditional, but less so than cloud-native

Efficiency: Improved efficiency, better resource management with cloud services

Testability: Improved testability with cloud-based tools, but may not be fully automated

Disposability: Improved disposability, but not as fast as cloud-native

User experience: Improved user experience, faster and more responsive than traditional

Resource allocation: Dynamic resource allocation, better utilization of cloud resources

Security: Enhanced security with cloud provider’s tools, but shared responsibility

Innovation: Increased innovation potential, faster deployment of new features

Cloud native applications

Architecture: Microservices, containerized, loosely coupled

Development duration: Faster development with iterative releases using CI/CD pipelines

OS dependency: Abstracted OS layer, allowing flexibility and easier migration

Scalability: Easily scalable, auto-scaling capabilities

Cost model: Pay-as-you-go, cost-effective based on usage

Release time: Rapid release cycles, continuous integration and delivery

Transition: Smooth transition from development to production, DevOps practices

Development / Operations cost: Lower operational costs, only pay for what you use, optimized resource usage

Automation: High level of automation, infrastructure as code

Downtime: Minimal to zero downtime, seamless updates

Backup and recovery: Automated backups, robust disaster recovery mechanisms

Modularity: Highly modular, independent microservices that are easier to update and scale

Flexibility: Highly flexible, easy to deploy and redeploy resources as needed

Efficiency: High efficiency, automated processes, and optimal resource utilization

Testability: Automated testing, continuous integration, and delivery pipelines

Disposability: Fast startup and shutdown, resilient to failures, quick recovery

User experience: Optimal user experience, highly responsive, seamless updates

Resource allocation: Optimal resource allocation, automatic scaling based on demand

Security: Built-in security features, continuous monitoring, and updates

Innovation: High innovation potential, rapid experimentation, and deployment of new features

It is evident that cloud-native applications, with their microservices and CI/CD advantages, are ideal for large enterprises. Mid-sized companies may find cloud-based applications a more manageable and effective step in modernizing their operations.

Cloud-based applications vs. cloud-native applications in the simplest manner

Think of it this way: Cloud-based applications are like moving traditional businesses to modern offices and utilizing new facilities. Cloud-native applications are like designing businesses from scratch to fully exploit the features of the modern office, ensuring optimal efficiency and growth potential.

In short: Cloud-native applications: Built for the cloud, leverage microservices, containers, and CI/CD for maximum scalability and agility. Cloud-based applications: Traditional applications adapted to run in the cloud benefit from cloud infrastructure but do not fully utilize cloud-native features.

Why is cloud-based application development a good way to go for mid-sized companies?

The cloud has undoubtedly changed the way businesses operate. That impact is going to grow with two main reasons:

As more organizations lock on its transformative power, and

As new technologies emerge to deliver even more services and functionality.

How an organization recognizes the cloud’s power is not in anyone’s control. However, how a cloud-based application developer or a SaaS provider integrates emerging technologies like artificial intelligence (AI), virtual reality (VR), or machine learning (ML) into cloud-based solutions is the key differentiator. Such integration drives a new wave of innovation and spawns a host of exciting opportunities in business, for example:

Instead of building a recommendation engine from scratch, e-commerce companies can now easily access and integrate an off-the-shelf engine.

Using readily available video intelligence modules, developers can now extract actionable insights from video files. This eliminates the need to develop their own ML or computer vision models.

Subscribe to modules that provide a fully managed service for connecting, managing, and analyzing data from globally dispersed IoT devices easily and securely. Such modules can support a wide range of services, from developing a system that detects pipeline cracks automatically to sending alerts to maintenance engineers to attend.

Most of these solutions are data-intensive and require massive processing power, making them ideal for the cloud. The cloud acts as a key enabler for building sophisticated new solutions. What matters is how a cloud-based application developer identifies your needs, understands the native capabilities of the cloud, and makes the best of the cloud for you.

Cloud strategy and assessment workshop

The adoption of cloud-based infrastructure by enterprises is increasing greatly. However, a lot of enterprises are still reluctant to adopt a cloud strategy due to lack of skills or knowledge.

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What sets any company apart in cloud application development?

The cloud undoubtedly provides many benefits, but it has cloud migration challenges and risks. From deployment costs to security and operational challenges, the challenges and risks range in nature and scale.

During cloud migration or cloud application development, a company should advise clients on which processes or operations are best suited to migration or cloud app development with reduced risks and which cloud model is most appropriate – private, public, or hybrid.

A company shall take care of the following challenges and risks during cloud migration or cloud application development:

Technology risks:

Implement robust security controls and procedures to safeguard data from cyber attacks. Careful analysis ensures the right aspects of the client’s workload migrate to the cloud for optimal cloud resource use.

Security risks:

Develop comprehensive security strategies for the client’s technology and data since the cloud does not ensure it automatically. Implementing the proper security measures is as crucial as implementing the cloud-based solution.

Operational risks:

Plan meticulously to integrate the client’s current infrastructure with cloud-based solutions to prevent data leakage or loss.

Financial risks:

Proper usage estimation and accurate configuration help avoid costly mistakes in cloud utilization.

Regulatory risks:

Stay vigilant about compliance with data protection laws to avoid financial and reputational risks.

Strategic risks:

Formulate coherent cloud migration strategies to ensure expected ROI and responsibly manage dependence on third-party service providers.

Also read: Which are the best steps for on-premises to cloud migration – step-by-step guide?

Benefits of cloud-based applications across different functions within organizations

Cost savings, security, scalability, flexibility, accessibility, and efficient data management are some of the traditional benefits of cloud-based applications. Since this is a complete guide on cloud-based applications for technology leaders, we have compiled real-world examples of cloud benefits and how they impact different organizational functions.

Product

Accelerated speed to market: By partnering with Amazon Web Services (AWS), Salesforce expanded globally without building its data centers. This partnership also ensured compliance with local data laws, streamlining their international growth.

Enhanced product testing and development: Stanford researchers developed a digital method to test new drug compounds before physical trials. This innovation speeds up the development process and reduces costs associated with physical testing.

Operations

Lower time and process costs: An insurance company processes routine claims automatically using computer vision and text analysis. This approach significantly reduces time and costs compared to manual processing.

Higher return on assets: An industrial conglomerate optimized its wind turbines with IoT and real-time analytics. This adjustment led to a double-digit increase in energy output, maximizing asset efficiency.

Finance

Dynamic pricing: A heavy plant manufacturer uses cloud-based dynamic pricing tools to improve dealer relationships. These tools also help increase profits and sales volume.

Focused allocation of resources: A farm machinery manufacturer allows farmers to apply herbicide only to weeds. This method reduces herbicide usage by up to 85%, cutting costs significantly.

Marketing

Better customer segmentation: A healthcare company analyzes data from various sources to find trends. This detailed analysis improves customer segmentation and targeting.

Extended customer reach: A private equity fund moved cattle auctions online, hosting data in the cloud. They use computer vision to automate health evaluations, expanding their market reach.

Talent and collaboration

Improved employee performance: A US bank uses AI algorithms to give real-time advice to its sales team. This guidance helps them sequence product offers more effectively, boosting sales performance.

Reduced siloes and collaboration barriers: A life sciences company connected its global research departments via cloud data storage. This connection allows seamless collaboration on shared data sets, enhancing research efficiency.

Undoubtedly, the cloud is driving a wave of innovation across various business functions. This transformation revolutionizes businesses. Next, we will explore the impact of cloud-based applications across organizations.

More on the impact of cloud-based applications

For much of its history, many business leaders saw cloud computing as a way to quickly gain new capabilities without having to work with – and be bogged down by – the internal IT department. That’s why they opt for cloud services.

Cloud services enable organizations to hire the computing power they require flexibly without owning or managing the IT infrastructure directly. Below are some examples of how enterprises use cloud-based solutions:

A fast-casual restaurant chain’s online orders surged to 400,000 a day from 50,000. A pleasant surprise? They were able to achieve this by migrating their online ordering system to the cloud.

A biotech company used cloud computing to deliver the first clinical batch of a COVID-19 vaccine candidate for Phase I trials in 42 days. The scalable cloud data storage and cloud collaboration, which facilitate real-time access, editing, and sharing of files, boosted productivity and creativity among team members.

An Automaker uses a common cloud platform to manage data from machines and systems, track logistics, and offer insights on shop floor processes across 124 plants, 500 warehouses, and 1,500 suppliers. This cloud adoption is expected to reduce factory costs by 30% by 2025 while fostering innovation.

With the rise of cloud computing services such as AWS, Microsoft Azure, and Google Cloud Platform, the Cloud and the cloud applications have become integral to daily life. The cloud extends beyond tech circles into mainstream use. The ubiquity of cloud-based applications is undeniable. Hence, knowing the best steps for building cloud-based applications will be helpful.

Best six steps for building cloud-based applications

Navigating the journey of cloud-based application development can be complex, but it becomes manageable and rewarding with the right approach. Here are the essential steps to ensure your cloud-based applications are robust, efficient, and aligned with your business goals.

1. Build a strong business case

We assist in developing a compelling business case highlighting the benefits of cloud adoption, such as cost savings, increased agility, and improved efficiency. This includes calculating potential ROI and aligning cloud initiatives with business objectives. Additionally, we identify key performance indicators (KPIs) to measure success and ensure your investment in cloud technology drives tangible business value.

2. Develop a comprehensive cloud strategy

We help you create a clear cloud strategy aligned with your business goals, identifying the suitable cloud service model (IaaS, PaaS, SaaS) to meet your needs. This includes evaluating your current infrastructure and planning for future scalability. We also ensure that your strategy consists of a phased migration or cloud app development approach, minimizing disruption and maximizing benefits.

3. Conduct thorough risk management

Our team assesses potential security, operational, financial, and regulatory risks. We implement robust security controls and procedures to protect your data and ensure compliance with relevant laws. We also develop a risk mitigation plan that addresses data backup, disaster recovery, and business continuity to safeguard against unexpected challenges.

4. Compose and automate deployment

We help compose your application using a monolithic or modular architecture, ensuring flexibility. Our team automates the deployment process, utilizing CI/CD pipelines to facilitate seamless integration and continuous delivery. This includes setting up automated testing environments and implementing infrastructure as code (IaC) to ensure consistency and repeatability.

5. Test and validate the application

We prioritize thorough testing and validation to ensure your cloud-based application is robust, secure, and performs well. This includes automated testing to quickly identify and address issues, providing a smooth user experience. We also conduct performance benchmarking and load testing to verify that your application can handle peak usage scenarios.

6. Optimize for continuous improvement

Post-launch, we provide ongoing support to monitor application performance and implement updates. Our approach ensures your application evolves with your business needs, maintaining optimal efficiency and growth potential. We leverage analytics and user feedback to drive iterative improvements, ensuring your application remains competitive and aligned with market demands.

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Final reflections

Indeed, over the years, traditional applications have significantly improved how businesses operate. Nonetheless, cloud computing takes this further by enhancing scalability, high availability, and rapid solution delivery, ensuring businesses reach their full potential.

The key takeaway from this guide is the profound impact of cloud-based applications on businesses. Summing it up, the current state of tech space and business demands constant innovation and quick solution delivery, the most significant benefit of cloud-based applications. Traditional apps struggle with modular architecture and automation, slowing feature releases. In contrast, adopting cloud-based applications boosts efficiency and flexibility.

The breakneck pace of business innovation driving digital transformation can no longer be supported by traditional, legacy application development methodologies. Instead, organizations overhaul their strategies and philosophies toward application development to align with a cloud-centric approach.

At last, if you look for a leading cloud app development company or want to hire cloud application developers to address any skillset gaps, we can connect. We are happy to help you address any of your challenges in cloud application development.

Originally published at https://www.softwebsolutions.com on June 7, 2024.