#file upload microservice

[codeonedigest]

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[hawkstack]

Integrating ROSA Applications with AWS Services (CS221)

In today's rapidly evolving cloud-native landscape, enterprises are looking for scalable, secure, and fully managed Kubernetes solutions that work seamlessly with existing cloud infrastructure. Red Hat OpenShift Service on AWS (ROSA) meets that demand by combining the power of Red Hat OpenShift with the scalability and flexibility of Amazon Web Services (AWS).

In this blog post, we’ll explore how you can integrate ROSA-based applications with key AWS services, unlocking a powerful hybrid architecture that enhances your applications' capabilities.

📌 What is ROSA?

ROSA (Red Hat OpenShift Service on AWS) is a managed OpenShift offering jointly developed and supported by Red Hat and AWS. It allows you to run containerized applications using OpenShift while taking full advantage of AWS services such as storage, databases, analytics, and identity management.

🔗 Why Integrate ROSA with AWS Services?

Integrating ROSA with native AWS services enables:

Seamless access to AWS resources (like RDS, S3, DynamoDB)

Improved scalability and availability

Cost-effective hybrid application architecture

Enhanced observability and monitoring

Secure IAM-based access control using AWS IAM Roles for Service Accounts (IRSA)

🛠️ Key Integration Scenarios

1. Storage Integration with Amazon S3 and EFS

Applications deployed on ROSA can use AWS storage services for persistent and object storage needs.

Use Case: A web app storing images to S3.

How: Use OpenShift’s CSI drivers to mount EFS or access S3 through SDKs or CLI.

yaml

Copy

Edit

apiVersion: v1

kind: PersistentVolumeClaim

metadata:

  name: efs-pvc

spec:

  accessModes:

    - ReadWriteMany

  storageClassName: efs-sc

  resources:

    requests:

      storage: 5Gi

2. Database Integration with Amazon RDS

You can offload your relational database requirements to managed RDS instances.

Use Case: Deploying a Spring Boot app with PostgreSQL on RDS.

How: Store DB credentials in Kubernetes secrets and use RDS endpoint in your app’s config.

env

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Edit

SPRING_DATASOURCE_URL=jdbc:postgresql://<rds-endpoint>:5432/mydb

3. Authentication with AWS IAM + OIDC

ROSA supports IAM Roles for Service Accounts (IRSA), enabling fine-grained permissions for workloads.

Use Case: Granting a pod access to a specific S3 bucket.

How:

Create an IAM role with S3 access

Associate it with a Kubernetes service account

Use OIDC to federate access

4. Observability with Amazon CloudWatch and Prometheus

Monitor your workloads using Amazon CloudWatch Container Insights or integrate Prometheus and Grafana on ROSA for deeper insights.

Use Case: Track application metrics and logs in a single AWS dashboard.

How: Forward logs from OpenShift to CloudWatch using Fluent Bit.

5. Serverless Integration with AWS Lambda

Bridge your ROSA applications with AWS Lambda for event-driven workloads.

Use Case: Triggering a Lambda function on file upload to S3.

How: Use EventBridge or S3 event notifications with your ROSA app triggering the workflow.

🔒 Security Best Practices

Use IAM Roles for Service Accounts (IRSA) to avoid hardcoding credentials.

Use AWS Secrets Manager or OpenShift Vault integration for managing secrets securely.

Enable VPC PrivateLink to keep traffic within AWS private network boundaries.

🚀 Getting Started

To start integrating your ROSA applications with AWS:

 Deploy your ROSA cluster using the AWS Management Console or CLI

 Set up AWS CLI & IAM permissions

 Enable the AWS services needed (e.g., RDS, S3, Lambda)

 Create Kubernetes Secrets and ConfigMaps for service integration

 Use ServiceAccounts, RBAC, and IRSA for secure access

🎯 Final Thoughts

ROSA is not just about running Kubernetes on AWS—it's about unlocking the true hybrid cloud potential by integrating with a rich ecosystem of AWS services. Whether you're building microservices, data pipelines, or enterprise-grade applications, ROSA + AWS gives you the tools to scale confidently, operate securely, and innovate rapidly.

If you're interested in hands-on workshops, consulting, or ROSA enablement for your team, feel free to reach out to HawkStack Technologies – your trusted Red Hat and AWS integration partner.

💬 Let's Talk!

Have you tried ROSA yet? What AWS services are you integrating with your OpenShift workloads? Share your experience or questions in the comments!

For more details www.hawkstack.com 

[tonymattny]

Experience Next-Gen OTT App Development Services With ideyaLabs: Your Partner for Unmatched Streaming Solutions

Delivering Unmatched Performance in Custom OTT APP Development

In 2025, the demand for seamless entertainment reached unprecedented heights. Audiences desire flexibility, quality, and personalization when streaming their favorite content. Businesses require innovative OTT app solutions to captivate viewers and outperform competitors. ideyaLabs serves as a trusted partner, specializing in state-of-the-art OTT APP Development designed specifically for content creators, broadcasters, and enterprises. The focus lies in delivering both robust technology and intuitive user experiences.

Efficient Content Delivery with Expert OTT App Design

The cornerstone of any successful streaming platform is its efficiency in delivering content. ideyaLabs crafts custom platforms that handle vast libraries of video and audio files without sacrificing quality or speed. Every OTT APP Development project leverages high-performance Content Delivery Networks (CDNs) and adaptive streaming technology. This ensures viewers receive crisp picture quality even with fluctuating internet speeds.

Scalable OTT Platforms Cater to Growing Audiences

Future-proofing streaming businesses is essential. ideyaLabs engineers every OTT application to scale as audiences expand. Utilizing cloud-native frameworks, advanced caching, and microservices, OTT apps accommodate spikes in traffic without performance issues. Clients confidently reach global viewers without the worry of lag or downtime.

Personalization Powers Audience Engagement

Viewer retention hinges on personalization. ideyaLabs integrates advanced AI-based recommendation engines within their OTT APP Development process. Users receive tailored suggestions, watchlists, and notifications based on their interests and behavior. In-app analytics provide content owners with actionable insights into what works, empowering data-driven decisions.

Multi-Device Streaming and Seamless Playback

Viewers enjoy entertainment on a variety of devices—smartphones, tablets, smart TVs, and desktops. ideyaLabs ensures every OTT platform delivers consistent experiences across all major operating systems and device types. Responsive design, intuitive navigation, and seamless playback come standard. Netflix-style browsing, multi-language support, and offline downloads enhance user satisfaction further.

Flexible Monetization Models for Maximizing Revenue

Revenue growth stems from a versatile range of monetization options. ideyaLabs supports integration with subscription-based (SVOD), ad-supported (AVOD), and hybrid models. Built-in features include secure payment gateways, ad insertion technology, and access control. Content creators monetize effectively, maintain creative independence, and target niche audiences.

Cutting-Edge Security Safeguards Content

Piracy and data breaches threaten streaming businesses. ideyaLabs incorporates industry-leading security features into each OTT APP Development project. Features such as multi-DRM support, end-to-end encryption, digital watermarking, and secure APIs ensure content safety. Strict access control and secure viewing environments preserve intellectual property and user privacy.

Streamlined Onboarding and Management for Content Owners

Content publishers often face challenges with onboarding and content management. ideyaLabs simplifies these processes with intuitive dashboards. Bulk uploads, metadata management, episode scheduling, and performance analytics are unified in one platform. Content producers focus on creativity while the technology streamlines the rest.

Integration With Social Media and Third-Party Tools

Expanding reach and enhancing user engagement are possible through social media integration. ideyaLabs offers seamless connectivity to platforms like Facebook, Twitter, Instagram, and WhatsApp. Features such as real-time chat, watch parties, and user comments foster lively communities within OTT apps. APIs for integrating analytics, marketing tools, and advertising partners help maximize platform potential.

Exceptional Support and Continuous Maintenance

OTT APP Development does not end at initial delivery. ideyaLabs provides comprehensive support and regular maintenance to ensure uninterrupted service. Proactive monitoring, regular updates, bug fixes, and feature enhancements guarantee robust app performance. Clients experience peace of mind, knowing their platforms remain current with changing technology and viewing trends.

Localization and Accessibility for Global Reach

Reaching global audiences requires more than just content. ideyaLabs enables multilingual support, subtitle and dubbing automation, and regional compliance features in every OTT app. Accessibility features such as closed captions, text-to-speech, and high-contrast modes ensure inclusivity for all users.

Data-Driven Decisions With Analytics and Reporting

Success in streaming relies on understanding viewer behavior. ideyaLabs integrates deep analytics and reporting into each OTT application. Real-time metrics cover streams, engagement rates, user demographics, and content performance. Visual dashboards empower content owners to adapt programming, improve retention, and optimize monetization.

Build a Strong Brand With a Unique App Identity

Standing out in a crowded streaming industry requires innovation and distinct branding. ideyaLabs delivers customizable OTT apps that reflect the essence of each brand. Each application features bespoke UI/UX, logo placement, color schemes, and branded splash screens. White-label options grant content owners full control over their app’s appearance and messaging.

Future-Ready Technologies Pave the Way for Innovation

ideyaLabs invests in emerging technologies for their OTT APP Development services. Integration with AR/VR, live streaming capabilities, and interactivity features set clients apart from competitors. Next-generation innovations increase audience immersion, boost engagement, and keep platforms at the forefront of entertainment trends.

Collaborate With ideyaLabs for Hassle-Free OTT App Development

Partnering with ideyaLabs means embarking on a journey toward streaming success. Each client receives tailored consultation, rapid prototyping, and transparent communication from ideation to launch. End-to-end project management ensures timely delivery and adherence to specifications. ideyaLabs stands as the preferred OTT APP Development partner for ambitious businesses aiming to harness the power of streaming in 2025.

Start Your Journey With ideyaLabs Today

Empower your brand with ideyaLabs’ expertise in OTT APP Development. Harness cutting-edge technology, reach global audiences, and unlock new monetization streams. Deliver entertainment experiences that captivate, engage, and inspire. The future of streaming begins now—with ideyaLabs as your trusted technology partner.

[pcrtisuyog]

The Evolution of the Full Stack Web Developer: Then vs. Now

Technology is moving at lightning speed, and so are the people who build it. One such pivotal role in the digital space is that of the full stack developer—a professional who juggles both the front-end and back-end of web applications. But like all things in tech, the role of the full stack developer has undergone massive transformation over the past two decades.

So, how did we get from the simple websites of the early 2000s to today’s complex, cloud-integrated, API-driven web apps? Let’s walk through the evolution of the full stack web developer: then vs. now.

Back Then: Simpler Times, Simpler Stacks

In the early days of the internet, being a full stack developer meant you were a jack-of-all-trades—but the stack was far less complicated. Websites were relatively static, and the tools were limited but manageable.

What defined a full stack developer then?

HTML, CSS, and a bit of JavaScript: These were the core technologies for building any web interface.

Backend scripting with PHP or ASP.NET: Most developers used server-side languages like PHP for form processing and basic database interactions.

Databases like MySQL: Relational databases were the go-to for storing content.

Little to no version control: Most code was shared via ZIP files or FTP uploads.

Solo development: Often, a single developer managed the entire website—from writing HTML to setting up servers.

This era was defined by simplicity, but also by limitations. Sites were slower, less interactive, and rarely mobile-friendly. Yet, in those early days, one developer could manage it all.

Now: Complexity, Collaboration, and Constant Learning

Fast forward to today, and the web is a different beast. Users expect speed, responsiveness, personalized experiences, and seamless integration with other apps. To meet these expectations, the full stack developer has had to evolve dramatically.

What does a full stack developer look like now?

Front-End Frameworks: React, Angular, or Vue are commonly used for building dynamic user interfaces.

Back-End Powerhouses: Node.js, Django, Ruby on Rails, or even serverless functions on AWS or Azure.

Cloud & DevOps: Modern full stack developers often deploy on cloud platforms and manage CI/CD pipelines.

APIs and Microservices: Today’s applications are modular, and developers must work with RESTful APIs and sometimes GraphQL.

Database Variety: From SQL to NoSQL (MongoDB, Firebase), data storage is more versatile.

Version Control and Collaboration Tools: Git, GitHub, GitLab, and platforms like Jira and Slack are essential.

Security & Performance: Awareness of cross-site scripting, data encryption, and performance optimization is critical.

Modern full stack developers don’t just write code—they’re architects, problem-solvers, and collaborators.

The Human Side of the Evolution

Let’s not forget the human element. Twenty years ago, being a full stack developer often meant learning by doing. There were fewer formal resources, and “Googling it” wasn’t even a thing. Now, developers have access to endless online courses, forums, and bootcamps—but they also face constant pressure to keep up.

Challenges modern full stack developers face:

Burnout from constant learning

Juggling too many technologies

Unclear job definitions in some companies

Need to balance depth vs. breadth of skills

However, despite the complexity, today’s developers are part of a global community. They share code, contribute to open source, and support one another. That’s something that has only grown stronger over time.

The Stack Is Evolving—And So Is the Developer

The definition of a full stack developer continues to shift. Some developers specialize more in either front-end or back-end, while still understanding both. Others become tech leads, DevOps engineers, or product-focused developers. But at its core, the role is about versatility and adaptability.

Key skills of a modern full stack developer:

Proficiency in multiple languages and frameworks

Problem-solving mindset

Understanding of UI/UX principles

Ability to work with databases, APIs, and cloud infrastructure

Strong communication and teamwork skills

Conclusion: From Hackers to Architects

The journey from the humble beginnings of web development to today’s sophisticated tech stacks is a fascinating one. The full stack developer of the past may have worked alone, but the modern developer thrives in collaboration, supported by tools, teams, and an ever-growing tech ecosystem.

The evolution of the full stack web developer: then vs. now reminds us that while tools and technologies will continue to change, the heart of development—curiosity, creativity, and code—remains the same.

[danielweasly]

Serverless Computing: Building & Deploying Applications without Infrastructure Management

Serverless computing is revolutionizing how developers build and deploy applications by eliminating the need for traditional infrastructure management. In a serverless environment, developers can focus solely on writing code while cloud providers handle the provisioning, scaling, and management of servers. This approach reduces operational overhead, improves agility, and allows developers to only pay for the computing resources they use, making it an efficient and cost-effective solution. Serverless computing services, such as AWS Lambda, Google Cloud Functions, and Azure Functions, automatically scale based on traffic, ensuring optimal performance without manual intervention.

This model is especially beneficial for microservices architectures, where different components of an application are deployed independently. Developers can build and deploy individual functions without worrying about managing the underlying servers, allowing for faster iteration and development cycles. Furthermore, serverless computing supports event-driven programming, making it an ideal choice for applications that respond to specific triggers, such as HTTP requests, database changes, or file uploads. This paradigm is quickly gaining traction across industries as it offers a flexible and scalable approach to application development.

Click here to know more about Serverless Computing: Building & Deploying Applications without Infrastructure Management https://www.intelegain.com/serverless-computing-building-deploying-applications-without-infrastructure-management/

[codefrombasics12345]

Using AWS Lambda for Serverless Computing: A Real-World Example

In recent years, serverless computing has become one of the most transformative trends in cloud computing. AWS Lambda, Amazon Web Services’ serverless compute service, has emerged as one of the key tools for building scalable, event-driven applications without the need to manage servers. In this post, we’ll walk through a real-world example of using AWS Lambda for serverless computing, highlighting the key benefits and how you can use Lambda to simplify your infrastructure.

What is AWS Lambda?

AWS Lambda is a compute service that allows you to run code without provisioning or managing servers. You upload your code (usually as a function), set the trigger, and Lambda takes care of everything else—auto-scaling, high availability, and even fault tolerance. This makes it an ideal solution for building microservices, processing data streams, automating tasks, and more.

Real-World Example: Building an Image Resizing Service

Let’s dive into a practical example of how AWS Lambda can be used to build a serverless image resizing service. Suppose you run a website where users upload images, and you want to automatically resize these images for different use cases—like thumbnails, profile pictures, and full-size versions.

Step 1: Create an S3 Bucket for Image Storage

The first step is to create an Amazon S3 bucket, where users will upload their images. S3 is an object storage service that is highly scalable and integrates seamlessly with AWS Lambda.

Step 2: Create the Lambda Function

Next, you’ll create a Lambda function that performs the image resizing. The code for this function is typically written in Python, Node.js, or another supported runtime. Here's an example Python function that resizes an image using the Pillow library:

import boto3

from PIL import Image

import io

s3 = boto3.client('s3')

def lambda_handler(event, context):

    # Get the S3 bucket and object key from the event

    bucket_name = event['Records'][0]['s3']['bucket']['name']

    object_key = event['Records'][0]['s3']['object']['key']

    # Download the image file from S3

    img_obj = s3.get_object(Bucket=bucket_name, Key=object_key)

    img_data = img_obj['Body'].read()

    img = Image.open(io.BytesIO(img_data))

    # Resize the image

    img_resized = img.resize((128, 128))  # Resize to 128x128 pixels

    # Save the resized image back to S3

    out_key = f"resized/{object_key}"

    out_buffer = io.BytesIO()

    img_resized.save(out_buffer, 'JPEG')

    out_buffer.seek(0)

    s3.put_object(Bucket=bucket_name, Key=out_key, Body=out_buffer)

    return {'statusCode': 200, 'body': 'Image resized successfully'}

This function does the following:

Downloads the uploaded image from the S3 bucket.

Resizes the image to 128x128 pixels.

Uploads the resized image back to the S3 bucket under a new path (e.g., resized/{object_key}).

Step 3: Set Up an S3 Event Trigger

AWS Lambda works seamlessly with other AWS services, like S3. To automate the image resizing process, you can set up an S3 event notification that triggers your Lambda function every time a new image is uploaded to the bucket. This is configured within the S3 console by adding an event notification that calls your Lambda function when an object is created.

Step 4: Testing the Lambda Function

Now that the Lambda function is set up and triggered by S3 events, you can test it by uploading an image to the S3 bucket. Once the image is uploaded, Lambda will automatically process the image, resize it, and store it in the designated S3 path.

Step 5: Monitor and Scale Automatically

One of the biggest advantages of using AWS Lambda is that you don’t have to worry about scaling. Lambda automatically scales to handle the volume of events, and you only pay for the compute time you use (in terms of requests and execution duration). AWS also provides monitoring and logging via Amazon CloudWatch, so you can easily track the performance of your Lambda function and troubleshoot if needed.

Key Benefits of Using AWS Lambda for Serverless Computing

Cost Efficiency: With AWS Lambda, you only pay for the execution time, meaning you don’t incur costs for idle resources. This is ideal for applications with variable or unpredictable workloads.

Auto-Scaling: Lambda automatically scales to handle an increasing number of events, without needing you to manually adjust infrastructure. This makes it well-suited for burst workloads, like processing thousands of images uploaded in a short period.

No Server Management: You don’t need to manage the underlying infrastructure. AWS handles provisioning, patching, and scaling of the servers, allowing you to focus on your code and business logic.

Event-Driven: Lambda integrates with many AWS services like S3, DynamoDB, SNS, and API Gateway, enabling you to build event-driven architectures without complex setups.

Quick Deployment: With Lambda, you can deploy your application faster, as there’s no need to worry about provisioning servers, load balancing, or scaling. Upload your code, set the trigger, and it’s ready to go.

Conclusion

AWS Lambda simplifies serverless application development by removing the need to manage infrastructure and enabling automatic scaling based on demand. In our image resizing example, Lambda not only reduces the complexity of managing servers but also makes the application more cost-effective and scalable. Whether you’re building a microservice, automating tasks, or handling real-time data streams, AWS Lambda is a powerful tool that can help you develop modern, cloud-native applications with ease.

By embracing serverless computing with AWS Lambda, you can build highly scalable, efficient, and cost-effective applications that are ideal for today's fast-paced, cloud-driven world.

To know more about AWS Lambda Enroll Now:

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[sophiamerlin]

Exploring AWS Lambda: The Future of Server less Computing

As technology continues to evolve, so does the way we build and deploy applications. Among the transformative advancements in cloud computing, AWS Lambda emerges as a leading force in the realm of serverless architecture. This innovative service from Amazon Web Services (AWS) enables developers to run code without the complexities of managing servers, paving the way for greater efficiency and scalability.

If you want to advance your career at the AWS Course in Pune, you need to take a systematic approach and join up for a course that best suits your interests and will greatly expand your learning path.

What is AWS Lambda?

AWS Lambda is a serverless compute service that allows you to execute code in response to specific events, such as changes in data, user requests, or system states. With Lambda, you can trigger functions from various AWS services like S3, DynamoDB, Kinesis, and API Gateway, allowing you to construct dynamic, event-driven applications effortlessly.

Key Features of AWS Lambda

Event-Driven Execution: AWS Lambda automatically responds to events, executing your code when specified triggers occur. This means you can concentrate on developing your application logic rather than managing infrastructure.

Automatic Scalability: As demand fluctuates, AWS Lambda scales your application automatically. Whether handling a single request or thousands, Lambda adjusts seamlessly to meet your needs.

Cost Efficiency: With a pay-as-you-go pricing model, you only pay for the compute time you consume. This means no charges when your code isn’t running, making it a cost-effective choice for many applications.

Multi-Language Support: AWS Lambda supports several programming languages, including Node.js, Python, Java, C#, and Go, giving developers the flexibility to work in their preferred languages.

Integration with AWS Services: Lambda works harmoniously with other AWS services, enabling you to build intricate applications effortlessly and take advantage of the broader AWS ecosystem.

To master the intricacies of AWS and unlock its full potential, individuals can benefit from enrolling in the AWS Online Training.

Exciting Use Cases for AWS Lambda

Real-Time Data Processing: Use Lambda to process data streams in real-time, such as transforming and analyzing data as it flows through services like Kinesis or responding to file uploads in S3.

API Development: Combine AWS Lambda with API Gateway to create robust RESTful APIs, allowing you to manage HTTP requests without the overhead of server management.

Automation of Tasks: Automate routine tasks, such as backups, monitoring, and notifications, facilitating smoother operations and reducing manual effort.

Microservices Architecture: Build applications using microservices, where individual Lambda functions handle specific tasks, enhancing modularity and maintainability.

Getting Started with AWS Lambda

Ready to dive into AWS Lambda? Here’s how you can get started:

Create an AWS Account: Sign up for an AWS account if you don’t already have one.

Access the AWS Management Console: Navigate to the Lambda service within the console.

Create a Lambda Function: Select a runtime, write your code (or upload a zip file), and configure your function settings.

Set Up Event Triggers: Configure triggers from other AWS services to execute your Lambda function based on specific events.

Testing and Monitoring: Utilize AWS CloudWatch to monitor performance, logs, and errors, helping you optimize your function.

Conclusion

AWS Lambda represents a paradigm shift in how applications are built and deployed. By embracing serverless architecture, developers can focus on writing code and delivering features without the burden of managing infrastructure. Whether you’re crafting a small application or a large-scale service, AWS Lambda provides the flexibility and scalability necessary to thrive in the modern cloud landscape.

[softweb-solutions]

Exploring AWS Lambda: Use Cases, Security, Performance Tips, and Cost Management

AWS Lambda, a core component of serverless architecture, empowers developers, cloud architects, data engineers, and business decision-makers by allowing code execution in response to specific events without managing servers. This flexibility is ideal for many modern applications but requires a nuanced understanding of its use cases, security considerations, performance factors, and cost implications to maximize its benefits.

In the first part, ‘exploring AWS lambda – a guide to serverless use cases,’ we saw how AWS Lambda enables efficient and scalable real-time data processing, facilitates backend services automation, supports microservices architecture, and enhances IoT applications by processing sensor data. It highlighted use cases like image processing, real-time notifications, and on-the-fly data transformations, emphasizing Lambda’s role in creating responsive, cost-effective applications without server management overhead.

Why it is important to understand AWS Lambda

Knowing when to use or avoid AWS Lambda is crucial for optimizing performance and cost. Our team of AWS experts emphasizes this while providing AWS consulting. For developers and cloud architects, this understanding leads to efficient resource allocation and streamlined workflows. Data engineers benefit from leveraging Lambda’s capabilities for real-time data processing, while business decision-makers can make informed choices about infrastructure investments, ensuring cost-effective and scalable solutions.

Statistics from AWS reveal a compelling fact: Companies leveraging Lambda for event-driven applications experience up to a staggering 70% reduction in operational costs. This potential for significant cost savings should motivate businesses to delve deeper into Lambda. Understanding its security implications can protect sensitive data, and optimizing performance ensures a seamless user experience. However, misuse or misunderstanding of Lambda can lead to increased costs, security vulnerabilities, and performance bottlenecks. This underscores the importance of gaining a comprehensive understanding of Lambda.

Where to use AWS Lambda

Event-driven applications: AWS Lambda shines in event-driven scenarios. Imagine an e-commerce platform that processes and verifies customer orders. Lambda can trigger functions upon order placement, ensuring swift and reliable processing. This event-driven model streamlines operations and reduces latency. For developers, this means faster deployment and reduced overhead.

Microservices: Lambda’s modular nature makes it a perfect fit for microservices architecture. Each function can be developed, deployed, and scaled independently. For example, a social media platform can use Lambda to handle user notifications, where each type of notification is a separate microservice, allowing for isolated management and scaling. Cloud architects will find this helpful in designing scalable and maintainable systems.

Automated backends: For tasks like user authentication, data validation, or generating reports, Lambda offers an automated, scalable backend solution. This is particularly effective for applications with sporadic workloads, as Lambda only runs when needed, saving costs on idle server time. Business decision-makers benefit from cost efficiency and flexibility.

IoT applications: In IoT ecosystems, Lambda can process data from connected devices in real-time. For instance, a smart home system might use Lambda to analyze sensor data and trigger actions such as adjusting the thermostat or sending alerts, ensuring responsive and efficient device management. Data engineers can leverage Lambda for seamless data processing and integration.

Real-time file processing: Lambda is excellent for real-time file processing. Consider a photo-sharing application where users upload images. Lambda functions can automatically resize images and store them in various formats in an S3 bucket, ensuring a seamless user experience.

Suggested: Apart from when to use Lambda, do you want to know more about why successful businesses are cloud-based? Read this!

Where not to use AWS Lambda

Long-running processes: Lambda functions have a maximum execution time of 15 minutes. For applications requiring longer processing times, like video rendering or extensive data analysis, traditional EC2 instances or ECS services are more suitable.

High-performance computing: Tasks requiring significant computational power, such as complex simulations or machine learning model training, may need to improve on Lambda due to its limited resource allocation compared to dedicated HPC solutions. Developers working on resource-intensive applications should consider more powerful options.

Steady load applications: For applications with a predictable, continuous load, such as streaming services, maintaining dedicated servers or using containerized environments can be more cost-effective. Lambda’s pay-per-request model may lead to higher costs for sustained high-volume traffic.

Complex state management: Applications requiring persistent connections or complex state management, such as multiplayer online games or real-time chat applications, may face challenges with Lambda. Maintaining a state across stateless function invocations can take time and effort. Cloud architects should consider traditional server setups for such use cases.

Security implications of AWS Lambda

Least privilege principle: Lambda functions should follow the principle of least privilege, ensuring they have only the necessary permissions to perform their tasks. This minimizes the risk of unauthorized access and potential security breaches. Cloud architects must ensure strict access controls and permission settings.

Environment variables: Avoid storing sensitive data like API keys or credentials in environment variables. Instead, utilize AWS Secrets Manager or AWS Systems Manager Parameter Store for secure storage and retrieval of sensitive information. Developers should follow best practices for handling confidential information.

VPC integration: Running Lambda functions within a Virtual Private Cloud (VPC) can enhance security by restricting network access to AWS resources. This isolates Lambda functions from the public internet, reducing exposure to potential attacks. Security-conscious architects can leverage VPC integration for additional protection.

IAM roles: Properly configured IAM roles and policies are crucial for Lambda functions. Assigning specific roles to functions ensures they can access only the resources they need, reducing the risk of privilege escalation.

Logging and monitoring: Enabling logging with AWS CloudWatch allows for real-time monitoring of Lambda function activity. Setting up alerts for unusual behavior helps promptly detect and respond to security incidents.

Suggested: Check out the ultimate guide to application integration on AWS!

Performance and cost impact of using AWS Lambda

Performance

Cold starts: Cold starts occur when a Lambda function is invoked after inactivity, leading to initialization latency. While this can impact performance, using Provisioned Concurrency can keep functions warm, reducing latency for critical functions. Developers should be aware of this to ensure responsive applications.

Resource allocation: Optimizing memory and timeout settings can significantly enhance performance. Allocating adequate memory ensures functions execute efficiently, reducing execution time and improving user experience.

Concurrency limits: Managing concurrency limits is essential to avoid throttling issues. By monitoring CloudWatch metrics, you can adjust concurrency settings to ensure smooth operation during peak times. Cloud architects need to manage these settings to maintain application reliability.

Cost

Pay-per-use model: Lambda’s pricing is based on the number of requests and the duration of code execution. This model is cost-effective for applications with sporadic usage patterns, as you only pay for actual compute time. Business decision-makers will appreciate the cost savings and scalability.

Free tier: AWS offers a generous free tier for Lambda, including 1 million free requests and 400,000 GB-seconds of compute time per month. This makes it an attractive option for startups and small-scale applications.

Cost management: Regularly reviewing usage and optimizing function performance can help avoid unnecessary costs. Implementing cost monitoring and alerts through AWS Cost Explorer or similar tools ensures you stay within budget.

Also read: How can you maximize savings by avoiding five common mistakes that increase your AWS bill?

Identifying performance issues in AWS Lambda

Cold start latency: Analyze logs to identify high latencies due to cold starts. Provisioned concurrency can mitigate these delays by pre-warming functions. Developers should monitor these metrics to enhance user experience.

Timeout errors: Monitoring for timeout errors indicates whether functions need more execution time or optimization. Adjusting timeout settings or refining code can resolve these issues. Cloud architects should ensure functions are correctly tuned to avoid disruptions.

Throttling: Throttling events, visible in CloudWatch metrics, indicate that the concurrency limit has been reached. Adjusting concurrency settings or optimizing function performance can help prevent throttling. Business decision-makers should consider these metrics when planning for scalability.

Memory usage: Evaluating memory usage metrics ensures functions are adequately provisioned. Under-provisioned functions can suffer from performance issues, while over-provisioning can lead to unnecessary costs. Data engineers should optimize memory settings for efficient data processing.

Execution duration: Optimizing code to reduce execution time improves performance and controls costs. Efficient code execution minimizes the time functions run, leading to cost savings.

Summary

By understanding where to use and where not to use Lambda, security practices, performance considerations, and cost implications of Lambda, organizations can effectively leverage serverless computing to build scalable, efficient, and secure applications. Here’s a summarized view:

Aspect: Where to use Lambda

Recommendations: Event-driven apps, microservices, automated backends, IoT and real-time file processing.

Aspect: Where not to use Lambda

Recommendations: Long-running processes, high-performance computing, steady load apps and complex state management.

Aspect: Security implications

Recommendations: Least privilege, secure environment variables, VPC integration, IAM roles and logging

Aspect: Performance considerations

Recommendations: Mitigate cold starts, optimize resource allocation and manage concurrency limits.

Aspect: Cost impacts

Recommendations: Utilize pay-per-use, leverage free tier, regular cost review and optimization

This comprehensive understanding ensures that you can maximize the benefits of AWS Lambda while mitigating potential drawbacks, leading to robust and cost-effective applications.

Originally published at https://www.softwebsolutions.com on June 25, 2024.

[codeonedigest]

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[awstrainingtipsandtricks]

AWS Lambda and the Power of Serverless Computing in 2025

In a time when speed, scalability, and efficiency are critical to software development, serverless computing has emerged as a transformative approach to building cloud-native applications. At the forefront of this shift is AWS Lambda, Amazon Web Services' flagship serverless compute service that allows developers to run code without managing servers.

By offloading infrastructure concerns to AWS, Lambda enables teams to focus purely on code, reducing operational overhead while improving flexibility and performance. But what exactly makes this service so powerful? Let’s explore how AWS Expert Lambda is shaping modern cloud architecture in 2025.

What is AWS Lambda?

AWS Lambda is a serverless computing service that executes code in response to events. You simply write your code in supported languages, upload it to Lambda, and AWS handles the provisioning, scaling, and maintenance of the underlying servers. Whether it's a file upload to Amazon S3, a change in a DynamoDB table, or an API call, Lambda automatically runs your function in a highly available and fault-tolerant environment.

No Server Management Required

One of Lambda’s biggest advantages is that you don’t need to manage servers at all. AWS handles the entire infrastructure layer—including provisioning, scaling, security patches, and operating system updates. This serverless model reduces operational burden and accelerates your development lifecycle, enabling teams to ship features faster.

Event-Driven by Design

AWS Lambda operates on an event-driven architecture, executing functions in response to specific triggers. These events can originate from multiple AWS services or external applications. For example, uploading an image to S3 can trigger Lambda to generate a thumbnail, or a new record in a database can launch a data processing workflow.

This design pattern is ideal for building reactive and automated systems, particularly for microservices, IoT applications, and real-time data processing.

Automatic and Instant Scaling

Scaling applications can be challenging and expensive in traditional environments. Lambda removes this complexity with built-in auto-scaling. Your code can handle a single request or thousands per second—Lambda dynamically allocates resources based on traffic volume. This responsiveness makes it ideal for unpredictable or spiky workloads without requiring any configuration changes from your end.

Stateless Function Execution

Lambda functions are stateless, which means each invocation runs in isolation without relying on persistent memory or session data from previous runs. This independence boosts scalability and reliability. If your application requires persistent data, it can integrate with services like Amazon RDS, DynamoDB, or S3 for external storage.

Cost-Efficiency with Pay-Per-Use Billing

With AWS Lambda, you only pay for what you actually use. Billing is based on the number of requests and the duration your code runs, measured in milliseconds. There are no charges for idle resources, which is particularly useful for workloads that experience infrequent or inconsistent traffic.

This model provides significant cost savings compared to traditional server-based deployments, especially for startups and small businesses managing limited budgets.

Deep Integration with the AWS Ecosystem

Lambda functions integrate effortlessly with a broad range of AWS services such as:

Amazon API Gateway for creating RESTful APIs

Amazon S3 for object storage

Amazon DynamoDB for NoSQL data storage

Amazon Kinesis for real-time streaming data

Amazon CloudWatch for monitoring and logging

This integration capability enables developers to construct powerful, event-driven applications without building glue code or custom infrastructure.

Multi-Language Support

AWS Lambda supports several mainstream programming languages including:

Python

Node.js

Java

Ruby

C#

PowerShell

In addition, AWS allows developers to create custom runtimes, giving even more freedom to use niche or in-house languages. This makes Lambda suitable for a wide range of development teams and use cases.

Real-World Applications of Lambda

AWS Lambda is already widely used in diverse scenarios:

Web application backends: Handle requests and responses efficiently without provisioning servers.

Image and file processing: Automatically resize or analyze media files as they’re uploaded.

ETL pipelines: Transform and load data in real-time from one service to another.

IoT automation: Trigger events based on sensor input or device behavior.

Chatbots and voice assistants: Manage conversational logic in platforms like Amazon Alexa.

Challenges and Considerations

While Lambda offers many advantages, it’s important to understand potential limitations:

Cold starts: There can be a slight delay when functions are invoked after a period of inactivity.

Execution time limits: Each Lambda function has a maximum execution duration (currently 15 minutes).

Monitoring complexity: Observability across distributed Lambda functions can be more challenging than monolithic apps, but services like AWS CloudWatch and X-Ray help bridge that gap.

Conclusion

AWS Lambda is not just a cost-effective solution; it’s a catalyst for innovation. By abstracting infrastructure management, it empowers developers to focus on delivering business value. From startups building MVPs to enterprises scaling microservices, Lambda has become an essential part of the modern cloud toolkit.

If you're seeking to future-proof your applications while reducing infrastructure overhead, AWS Lambda is a platform worth adopting. Start small, experiment with real-world triggers, and let AWS handle the complexity behind the scenes.

[apptechmobilesolutions]

Navigating Digital Innovation: The Role of a Node.js App Development Company

In the ever-evolving landscape of web and mobile app development, Node.js has emerged as a powerhouse. Its non-blocking, event-driven architecture has made it a preferred choice for building real-time and scalable applications. To harness the full potential of Node.js, businesses often turn to Node js app development company. In this informative blog post, we'll explore the significance of Node.js app development companies, the advantages of using Node.js for app development, and how partnering with one can drive innovation in the digital realm.

Node.js: A Game-Changer in App Development

Node.js is an open-source, cross-platform runtime environment that enables developers to execute JavaScript code on the server-side. Its key features include:

Non-Blocking I/O: Node.js utilizes an event-driven, non-blocking I/O model, making it highly efficient for handling multiple concurrent connections. This is particularly valuable for real-time applications.

V8 Engine: Node.js is built on Google's V8 JavaScript engine, known for its speed and performance. This allows Node.js to execute JavaScript code quickly, making it ideal for server-side applications.

NPM (Node Package Manager): NPM is the largest package ecosystem for JavaScript, offering developers a vast library of reusable code modules that can be easily integrated into Node.js applications.

The Significance of Node.js App Development Companies

Expertise: Node.js app development companies have a team of experienced developers who understand the intricacies of Node.js. They can leverage their expertise to create high-quality, performant applications.

Custom Solutions: These companies offer custom solutions tailored to your specific needs and branding requirements. Custom themes, plugins, and extensions can be created to deliver a unique user experience.

Scalability: Node.js's inherent scalability and flexibility allow businesses to start small and grow as needed. Node.js app development companies can build applications that scale effortlessly to meet increasing demands.

Cross-Platform Compatibility: Node.js can be used for both server-side and client-side development, making it a versatile choice. Node.js app development companies can create full-stack applications that work seamlessly across platforms.

Key Features of Node.js App Development

Node.js app development encompasses a range of features, such as:

Real-Time Applications: Node.js is well-suited for real-time applications like chat applications, online gaming, and live streaming platforms.

API Development: Node.js simplifies the creation of APIs, making it easier for developers to build and manage APIs for various purposes.

Data Streaming: Node.js can handle data streaming efficiently, making it ideal for applications that involve file uploads, video streaming, and data analytics.

Microservices: Node.js is well-suited for building microservices architectures, allowing businesses to create modular and scalable applications.

IoT (Internet of Things): Its lightweight nature and efficiency make Node.js a valuable choice for building IoT applications and devices.

Advantages of Node.js App Development

Speed and Performance: Node.js's event-driven architecture and V8 engine result in fast and efficient code execution, making it ideal for applications that require real-time data processing.

Scalability: Node.js's ability to handle concurrent connections and its non-blocking I/O model makes it highly scalable, allowing applications to accommodate growing user bases and traffic loads.

Large Ecosystem: The Node Package Manager (NPM) provides access to a vast repository of open-source packages and modules, saving development time and effort.

Community Support: Node.js has a vibrant and active community of developers who contribute to its growth, offer support, and share best practices.

Use Cases for Node.js App Development

Real-Time Communication: Node.js is ideal for building real-time chat applications, messaging platforms, and collaboration tools.

E-commerce: Its speed and scalability make Node.js a suitable choice for e-commerce websites, supporting features like product recommendations, cart updates, and inventory management.

Social Media: Node.js can power social media platforms, allowing users to interact, share content, and receive real-time notifications.

Online Gaming: Online gaming platforms can benefit from Node.js's real-time capabilities, ensuring a smooth gaming experience.

Streaming Services: Node.js is well-suited for building live streaming platforms for gaming, sports, and entertainment.

Partnering with a Node.js App Development Company

Requirements Assessment: A Node.js app development company will begin by understanding your project requirements, goals, and target audience.

Custom Development: They will then create a custom development plan that aligns with your objectives, leveraging Node.js's capabilities to build efficient and scalable applications.

Quality Assurance: Rigorous testing and quality assurance procedures ensure that your Node.js application meets the highest standards of performance, security, and functionality.

Scalability Planning: Node.js app development companies will plan for scalability, ensuring that your application can handle increased loads without compromising performance.

Maintenance and Support: After deployment, they will provide ongoing maintenance and support to keep your application running smoothly and up-to-date.

Node.js app development companies are at the forefront of innovation in the digital realm, leveraging the power of Node.js to create high-performance and scalable applications. By partnering with such a company, businesses can stay competitive, deliver exceptional user experiences, and drive innovation in the ever-evolving landscape of web and mobile app development. Node.js's speed, efficiency, and versatility make it a compelling choice for businesses aiming to thrive in the digital era.

[deltainfoteklive]

Benefits of Hiring NodeJS Developer

In the dynamic world of web development, staying ahead requires the utilization of cutting-edge technologies. One such technology that has garnered significant attention is NodeJS. With its event-driven, non-blocking architecture, NodeJS offers a range of benefits that make it a preferred choice for developers and businesses alike. This article delves into the numerous advantages of hiring NodeJS developers, highlighting the key reasons why this technology is essential for modern web applications. Benefits of Hiring a NodeJS Developer NodeJS developers bring a unique skill set to the table, making them indispensable for creating powerful and responsive web applications. Here's a comprehensive look at the benefits they offer: Seamless Scalability for Growing Demands NodeJS excels in managing concurrent connections, making it an ideal choice for applications that anticipate rapid growth. Hiring NodeJS developers ensures your web application can effortlessly handle an increasing number of users without compromising on performance or responsiveness. Efficient Single Language Development NodeJS uses JavaScript for both client and server-side development, streamlining the development process. When you hire NodeJS developers, you tap into their expertise in this universal language, facilitating smooth communication between front-end and back-end development teams. Enhanced Performance with Non-Blocking I/O NodeJS employs an event-driven, non-blocking architecture, allowing developers to handle multiple requests simultaneously. This leads to reduced latency, faster load times, and an overall improved user experience. Vast Selection of Libraries and Modules The Node Package Manager (NPM) provides access to a vast array of open-source libraries and modules. This enables NodeJS developers to leverage existing solutions, saving time and effort during development. Real-Time Application Development NodeJS's real-time capabilities are perfect for building applications that require instant updates, such as chat applications or live tracking systems. NodeJS developers can create dynamic, real-time features that keep users engaged. Cost-Efficient Development Hiring NodeJS developers can be cost-effective in the long run. The efficiency of JavaScript, coupled with the ability to share code between front-end and back-end, reduces development time and resource requirements. Cross-Platform Compatibility NodeJS allows for code reusability across different platforms, minimizing the effort required to develop and maintain applications for multiple devices or operating systems. Community Support and Active Development The NodeJS community is vibrant and constantly evolving. When you hire NodeJS developers, you gain access to a wealth of knowledge, resources, and updates, ensuring your application remains up-to-date and secure. Microservices Architecture NodeJS's lightweight nature makes it an excellent choice for building microservices, facilitating the development of complex applications by breaking them down into smaller, manageable components. SEO-Friendly Applications NodeJS's ability to handle server-side rendering efficiently contributes to better search engine optimization (SEO) rankings, enhancing the discoverability of your web application. Enhanced Developer Productivity With its rapid development cycle, NodeJS allows developers to iterate quickly and make changes in real-time, ultimately boosting productivity and accelerating time-to-market. Support for Data Streaming NodeJS's native support for data streaming makes it ideal for applications that involve real-time video streaming, file uploads, and data synchronization. Robust Community and Documentation The NodeJS ecosystem is backed by a robust community that actively contributes to documentation, tutorials, and troubleshooting resources. Hiring NodeJS developers means having access to these valuable assets. Handling of Concurrent Connections NodeJS's asynchronous, event-driven architecture makes it adept at handling numerous concurrent connections without straining system resources. Security and Performance Optimization NodeJS developers are well-versed in optimizing security features and performance parameters, ensuring your web application is both safe and efficient. Ecosystem Compatibility NodeJS seamlessly integrates with various tools and frameworks, offering flexibility and compatibility with different development environments. Enhanced User Experience NodeJS's ability to deliver real-time updates and interactive features contributes to an enhanced user experience, fostering user engagement and satisfaction. Robust Testing Capabilities NodeJS's built-in testing capabilities, along with numerous testing frameworks, make it easier for developers to ensure the reliability and stability of their applications. Rapid Prototyping Hiring NodeJS developers enables swift prototyping and validation of concepts, allowing businesses to quickly assess ideas and make informed decisions. Simplified Data Synchronization NodeJS simplifies data synchronization between server and client, enabling seamless real-time updates and minimizing data inconsistencies. Future-Ready Technology Investing in NodeJS developers ensures your applications are built using a future-ready technology that continues to evolve and adapt to changing development trends. Support for IoT Applications NodeJS's lightweight and efficient nature makes it an ideal choice for developing Internet of Things (IoT) applications, enabling seamless communication between devices. Continuous Integration and Deployment NodeJS's integration with CI/CD pipelines allows for seamless automated testing, integration, and deployment, streamlining the development lifecycle. Enhanced Error Handling NodeJS developers are skilled in implementing robust error-handling mechanisms, ensuring your application remains stable even under challenging conditions. FAQs Can NodeJS be used for both front-end and back-end development? Yes, NodeJS is versatile and can be used for both front-end and back-end development, allowing developers to use JavaScript for the entire web application stack. What kind of applications are best suited for NodeJS? NodeJS is well-suited for applications that require real-time interactions, such as chat applications, online gaming platforms, collaborative tools, and IoT applications. How does NodeJS enhance application performance? NodeJS's non-blocking architecture allows it to handle multiple connections simultaneously, reducing latency and improving overall application performance. Is NodeJS secure for building applications? Yes, NodeJS offers robust security features, and by following best practices, NodeJS applications can be made secure against common vulnerabilities. Can NodeJS be integrated with existing technologies? Absolutely, NodeJS can be easily integrated with various existing technologies, making it a versatile choice for modernizing and enhancing applications. How can hiring NodeJS developers benefit my business? Hiring NodeJS developers brings expertise in utilizing this powerful technology, leading to the creation of efficient, scalable, and feature-rich web applications that drive business growth. Conclusion The benefits of hiring NodeJS developers are vast and impactful, revolutionizing the way modern web applications are developed and deployed. From enhanced performance and scalability to real-time capabilities and future-ready technology, NodeJS offers a myriad of advantages that empower businesses to create cutting-edge applications that excel in today's competitive digital landscape. So, if you're looking to harness the full potential of efficient web development, hiring NodeJS developers is undoubtedly the way forward. Read the full article

[itonlinetraininginusa]

How to build a portfolio as an automation tester

If you are someone looking to break into the test automation field, a lack of experience will make it harder for you in the beginning stage. One great way to gain experience in automation testing is to study and practice independently. Most people who want to enter the automation testing field have the potential to study and master the subject on their own, but they struggle to demonstrate their knowledge to employers. Obtaining a selenium certification is easy but provides a huge boost in your career.

Professionals like user interface designers and digital designers like front-end developers create portfolios that are similar to resumes. Portfolios are a great way to showcase your abilities and your projects. Showcasing your projects is a great way to let employers know what you are capable of. As an automation engineer, you can create portfolios to get hired or get noticed by employers.

Adding projects to your portfolio is a great way to build an automation tester portfolio. Here are some projects you can add to make your automation tester portfolio look great:

Web browser automation

By far, web automation is the most popular and in-demand type of test automation. This is a fundamental requirement for your portfolio if you want to get into test automation. Make sure you go beyond a simple login process. Instead, demonstrate whole scenarios that call for interaction between your code and several sites.

You should be able to locate element locators and interact with a variety of elements in this project, including alerts, drop-down menus, text fields, checkboxes, file upload widgets, buttons and frames. Be careful to use design patterns like the Page Object Model and the Screenplay Pattern, as well as clean test code.

Visual automation

Create forks for your web and mobile projects and add visual testing functionality to them when you finish them. As a result of the tests not being enabled to validate the appearance of your app, you'll rapidly realize how much is missing from them. Having the skill of visual testing will certainly help you stand out from the competition. This skill is featured in many job postings.

API Automation

The demand for automation engineers who can test APIs has significantly increased as a result of the growth of microservices, IoT applications, and public-facing APIs. Therefore, you should add an API testing project to your portfolio.

Include at least GET and POST as examples of various API methods in this project. Use APIs that require request bodies or parameters and produce complicated replies with a number of objects and arrays. For extra credit, use sophisticated verification methods, like deserialization or approval testing. Additionally, it would be a wonderful addition to showing how to mimic API answers.

Data-driven automation

Data's simple to save test data inside the source code because your practice projects might only utilize a tiny quantity of it. However, you'll find hundreds or even thousands of automated tests on development teams working on commercial software. Many teams use a data-driven testing method in order to stay on top of all this data.

Experts advise including this in at least one of your projects so that you can show that you can programmatically read data from an outside source, such as a spreadsheet file.

Database usage

Speaking of having access to data from other sources, adding a project that communicates with a database is a smart idea. In order to access and write data from a database, I advise writing queries in your code and using them in test cases.

To gather the anticipated outcomes of a search query, for instance, you could read from the database. Alternatively, you can write to a database to put your application in a required state before starting the test.

Final thoughts

Finally, it has always been necessary to automate accessibility testing, but recently it has taken on a lot more significance for businesses. As a result of businesses' websites not being user-friendly for people with impairments, they have been sued in legal fights. Know how to get selenium certification to earn more and move up your career ladder.

You will have a significant edge when looking for jobs if you can show that you can automate test cases for accessibility. For your accessibility testing demonstrations, you can utilize the websites and applications you used for your web and mobile projects.

[primeekitchen]

The Best Uscreen alternatives & Competitors: Reviewed 2022

Uscreen alternative one of the top ten OTT platforms in the world, develops self-contained OTT websites and apps. Fast encoding and multi-bitrate streaming enable 4K UHD viewing on a range of devices, including the Web, Android, Tablets, Smart TVs, and more. The platform is fully white-labeled, has an HTML5 video player, and is powered by a global CDN. It also includes options for increasing user involvement, such as email marketing and analytic data.

Here Are Uscreen OTT Super-Graded Features:

Video organization tools for OTT streaming

Streaming in real-time and on-demand

Help with video marketing

Creating a video app

Video analytics that is effective

Characteristics that foster community

Pros:

Within 30 to 60 days, launch a new app or website

Extremely easy to use & compatible with Apple TV, Android TV, etc

Email automation tools

Uscreen OTT Pricing:

Basic: $49 per month plus $0.50 per subscriber

Amplify costs $399 per month plus $0.50 per subscriber.

Enterprise: Plans that can be customized to meet the needs of larger companies.

OTT Platform – VPlayed

VPlayed’s OTT solution enables media broadcasters, television production houses, content owners, and others to develop a Whitelabel upgraded OTT video monetization platform that expands the reach of crystal-quality video content across many platforms with less effort. They can send HQ video content to a variety of devices, including the Web, Android, and SmartTV.

The multi-bitrate transcoding technology delivered by VPlayed via cutting-edge technology of HLS player aid in the creation of successful OTT video streams. Since it is a 100% customizable solution, the range of developing the best content management strategies offers high engagement and makes it result-driven either on live, or with on-demand casting.

Some Of The VPlayed OTT Platform Features Are:

VPlayed’s Whitelabel OTT solution allows you to create and personalize your own customized platform

With the built-in video CMS, you can upload and manage your entire archive

Utilize a cloud transcoding streaming technology to compress OTT video files

With a critical HLS video solution, you can distribute your best OTT works

6+ revenue monetization models will triple your total streaming income

Secure over-the-top streaming platform with Multi-DRM protocols that are certified

Pros:

Services getting white-labeled completely helps you to own your creative content forever

Secure Multi-DRM protocol with standardization will protect every piece of content

All are covered in a one-time license cost

Every industry can harness the expertise of streaming

Effortlessly migrate from one online video platform to another

The pluggable microservice architecture enables fast, cost-effective upgrades in any app

VPlayed OTT Platform Pricing:

Do you want to set yourself apart from the competition? VPlayed is the best option for this. They may assist content owners in developing a world-class OTT platform with more than 100 streaming capabilities and six monetization options.