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#aws lambda function
codeonedigest · 1 year
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AWS Lambda Compute Service Tutorial for Amazon Cloud Developers
Full Video Link - https://youtube.com/shorts/QmQOWR_aiNI Hi, a new #video #tutorial on #aws #lambda #awslambda is published on #codeonedigest #youtube channel. @java @awscloud @AWSCloudIndia @YouTube #youtube @codeonedigest #codeonedigest #aws #amaz
AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. These events may include changes in state such as a user placing an item in a shopping cart on an ecommerce website. AWS Lambda automatically runs code in response to multiple events, such as HTTP requests via Amazon API Gateway, modifications…
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The Power of Serverless Computing: Practical Examples and Benefits
Discover the power of #ServerlessComputing, from cost efficiency to real-time analytics, with practical examples in this insightful article! Say goodbye to server maintenance and hello to #FaaS innovation. #CloudComputing #TechTrends
Serverless computing has revolutionized the way developers build and deploy applications. It offers a cost-effective and efficient alternative to traditional server-based architectures, providing businesses with the flexibility to focus on code and functionality rather than managing infrastructure. In this article, we will explore the concept of serverless computing, its advantages, and provide…
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ho2k-com · 2 months
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bdccglobal · 1 year
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Dive into the World of AWS Lambda! 🚀 Discover the power of serverless computing and how AWS Lambda is reshaping the future of cloud services.
Let's explore the innovative world of serverless functions! 💡☁️
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aravikumar48 · 1 year
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Lambda Lab | Start and Stop EC2 Instances using Lambda Function | Tech A...
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timetravellingkitty · 4 months
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What is lambda?
there are many types of lambdas
1. The Greek letter
2. The computer program AWS Lambda
3. The keyword for designating anonymous functions in lisps
4. @mosfetransgender
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mvishnukumar · 1 month
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How can you optimize the performance of machine learning models in the cloud?
Optimizing machine learning models in the cloud involves several strategies to enhance performance and efficiency. Here’s a detailed approach:
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Choose the Right Cloud Services:
Managed ML Services: 
Use managed services like AWS SageMaker, Google AI Platform, or Azure Machine Learning, which offer built-in tools for training, tuning, and deploying models.
Auto-scaling: 
Enable auto-scaling features to adjust resources based on demand, which helps manage costs and performance.
Optimize Data Handling:
Data Storage: 
Use scalable cloud storage solutions like Amazon S3, Google Cloud Storage, or Azure Blob Storage for storing large datasets efficiently.
Data Pipeline: 
Implement efficient data pipelines with tools like Apache Kafka or AWS Glue to manage and process large volumes of data.
Select Appropriate Computational Resources:
Instance Types: 
Choose the right instance types based on your model’s requirements. For example, use GPU or TPU instances for deep learning tasks to accelerate training.
Spot Instances: 
Utilize spot instances or preemptible VMs to reduce costs for non-time-sensitive tasks.
Optimize Model Training:
Hyperparameter Tuning: 
Use cloud-based hyperparameter tuning services to automate the search for optimal model parameters. Services like Google Cloud AI Platform’s HyperTune or AWS SageMaker’s Automatic Model Tuning can help.
Distributed Training: 
Distribute model training across multiple instances or nodes to speed up the process. Frameworks like TensorFlow and PyTorch support distributed training and can take advantage of cloud resources.
Monitoring and Logging:
Monitoring Tools: 
Implement monitoring tools to track performance metrics and resource usage. AWS CloudWatch, Google Cloud Monitoring, and Azure Monitor offer real-time insights.
Logging: 
Maintain detailed logs for debugging and performance analysis, using tools like AWS CloudTrail or Google Cloud Logging.
Model Deployment:
Serverless Deployment: 
Use serverless options to simplify scaling and reduce infrastructure management. Services like AWS Lambda or Google Cloud Functions can handle inference tasks without managing servers.
Model Optimization: 
Optimize models by compressing them or using model distillation techniques to reduce inference time and improve latency.
Cost Management:
Cost Analysis: 
Regularly analyze and optimize cloud costs to avoid overspending. Tools like AWS Cost Explorer, Google Cloud’s Cost Management, and Azure Cost Management can help monitor and manage expenses.
By carefully selecting cloud services, optimizing data handling and training processes, and monitoring performance, you can efficiently manage and improve machine learning models in the cloud.
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codeonedigest · 1 year
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Serverless Architecture & Deployment Design Pattern for Microservices wi... Full Video Link      https://youtu.be/b9Gpt4OOlgoHello friends, new #video on #serverless #deployment   #designpattern for #microservices #tutorial for #developer #programmers with #examples are published on #codeonedigest #youtube channel.  @java #java #aws #awscloud @awscloud @AWSCloudIndia #salesforce #Cloud #CloudComputing @YouTube #youtube #azure #msazure #codeonedigest @codeonedigest   #microservices    #microservices #cloud #serverless #whataremicroservices #microservicestutorial #microservicesarchitecture #serverlessmicroservices #serverlessframeworksetup #serverlessdeployment #serverlessdeploymentaws #serverlessdeploymentbucket #serverlessdeploymentazure #serverlessdeploymentplatform #serverlessdeployfunction #serverlessdesignpattern #serverlessarchitecture #serverlesscomputing #serverlessmicroservicesexplained #serverlessmicroservicesexample #design 
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monisha1199 · 1 year
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Level up your cloud skills with this AWS course: The ultimate guide to mastering Amazon Web Services!
Are you fascinated by the world of cloud computing? Do you want to enhance your skills and become a proficient Amazon Web Services (AWS) professional? Look no further! This comprehensive guide will walk you through the essential aspects of AWS education and training, providing you with the tools you need to excel in this rapidly evolving field. Whether you are a novice starting from scratch or an experienced IT professional aiming for career advancement, this AWS course will equip you with the knowledge and expertise to navigate the cloud with confidence.
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Education: Building Blocks for Success
Understanding the Basics of Cloud Computing
Before diving into the intricacies of Amazon Web Services, it is crucial to comprehend the fundamentals of cloud computing. Explore the concept of virtualization, where physical resources are abstracted into virtual instances, allowing for greater efficiency, scalability, and flexibility. Familiarize yourself with key terms such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). By understanding these building blocks, you will be prepared to harness the full power of AWS.
Navigating the AWS Management Console
The AWS Management Console is your gateway to the vast array of services provided by Amazon Web Services. Acquaint yourself with this user-friendly interface as we walk you through the various components and functionalities it offers. From launching virtual servers to configuring security settings, you will gain a solid foundation in managing AWS resources effectively.
Essential AWS Services to Master
AWS boasts a vast ecosystem of services, each designed to address specific computing needs. We will explore some of the core services that form the backbone of AWS, including Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Relational Database Service (RDS), and Amazon Lambda. Delve into the intricacies of these services and discover how they can revolutionize your cloud-based projects.
Guide to Start AWS Training
Choosing the Right Training Path
Embarking on your AWS training journey requires careful consideration of your individual goals and learning preferences. Evaluate the various training options available, such as self-paced online courses, instructor-led virtual classrooms, or hands-on workshops. Analyze your resources, time constraints, and preferred learning style to select the training path that aligns best with your needs.
Structured Learning Approach
Mastering AWS necessitates a systematic and well-structured approach. Discover the importance of laying a strong foundation by beginning with the AWS Certified Cloud Practitioner exam. From there, progress to more specialized certifications such as AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified SysOps Administrator. Each certification builds upon the previous one, creating a comprehensive knowledge base that will set you apart in this competitive industry.
Hands-On Experience and Real-World Projects
Theory alone is insufficient when it comes to mastering AWS. Develop your practical skills by engaging in hands-on labs and real-world projects that simulate the challenges you are likely to encounter in the field. Dive into deploying applications, configuring scalable infrastructure, and troubleshooting common issues. By actively applying your knowledge, you will solidify your understanding and gain invaluable experience.
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Placement: Unlocking Opportunities
Leveraging AWS Certification in the Job Market
AWS certifications have emerged as a gold standard in the realm of cloud computing. Employers actively seek professionals who possess the skills and credentials to navigate and optimize AWS environments. Discover how an AWS certification can significantly enhance your employability, propel your career trajectory, and open doors to exciting job opportunities in a wide range of industries.
Showcasing your AWS Expertise
Once you have acquired the necessary skills and certifications, it is essential to effectively showcase your AWS expertise. Craft a captivating resume highlighting your AWS experiences and projects. Create a strong online presence through platforms like LinkedIn and GitHub, demonstrating your proficiency to potential employers. Actively participate in AWS forums and communities, exchanging knowledge and insights with fellow professionals and building a robust network.
Continuous Learning and Growth
AWS is a rapidly evolving platform, constantly introducing new services, features, and updates. Stay ahead of the curve by fostering a mindset of continuous learning and growth. Engage in ongoing professional development, attend AWS conferences and webinars, and subscribe to relevant industry publications. By embracing a culture of continuous improvement, you will remain at the forefront of AWS innovation and unlock limitless possibilities for advancement.
Embarking on the journey to mastering AWS Course at ACTE institute can be both exciting and challenging. However, armed with comprehensive education, a well-structured training approach, and a strategic placement strategy, you can level up your cloud skills and unlock a world of opportunities. Start your AWS training today, and transcend the realms of cloud computing like never before!
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quantuminnovationit · 7 months
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Future Trends in Ruby on Rails Web Development
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In the ever-evolving landscape of web development, Ruby on Rails (RoR) continues to be a popular and powerful framework for building robust, scalable, and efficient web applications. As technology advances and market demands evolve, the future of Ruby on Rails web development holds exciting possibilities and trends that promise to shape the way developers approach projects. In this article, we delve into the emerging trends and innovations in ruby on rails development company, highlighting the role of leading ruby on rails development companies, particularly those in the USA, in driving innovation and pushing the boundaries of what is possible in web development.
Embracing Modern JavaScript Frameworks:
As JavaScript frameworks like React, Vue.js, and AngularJS gain prominence in the web development landscape, Ruby on Rails developers are increasingly integrating these technologies into their projects. By leveraging the strengths of both Ruby on Rails and modern JavaScript frameworks, developers can create dynamic and interactive user interfaces that enhance the overall user experience. Ruby on Rails development companies in the USA are at the forefront of this trend, leveraging their expertise to seamlessly integrate JavaScript frameworks into RoR applications and deliver cutting-edge solutions to clients.
Microservices Architecture and Scalability:
With the growing complexity of web applications and the need for scalability and flexibility, the adoption of microservices architecture is becoming increasingly prevalent in Ruby on Rails web development. By breaking down monolithic applications into smaller, independent services, developers can achieve greater scalability, fault isolation, and agility. Leading ruby on rails web development companies in the USA are embracing microservices architecture to build scalable and resilient applications that can easily adapt to changing business requirements and user demands.
Progressive Web Applications (PWAs):
Progressive Web Applications (PWAs) represent a significant trend in web development, offering the benefits of both web and mobile applications. By leveraging modern web technologies, including service workers, web app manifests, and responsive design principles, developers can create PWAs that deliver a fast, reliable, and engaging user experience across devices and platforms. Ruby on Rails development companies in the USA are leveraging the flexibility and power of RoR to build PWAs that combine the best features of native mobile apps with the reach and accessibility of the web.
AI-Powered Applications and Chatbots:
Artificial intelligence (AI) and machine learning (ML) technologies are increasingly being integrated into web applications to enhance functionality and user experience. In Ruby on Rails web development, AI-powered applications and chatbots are becoming more prevalent, providing personalized recommendations, automated customer support, and intelligent decision-making capabilities. ruby on rails development company usa  are leveraging AI and ML technologies to build sophisticated and intelligent web applications that anticipate user needs and deliver tailored experiences.
Serverless Architecture and Function as a Service (FaaS):
Serverless architecture is revolutionizing the way web applications are built and deployed, offering greater scalability, cost-efficiency, and flexibility. With the rise of Function as a Service (FaaS) platforms like AWS Lambda and Google Cloud Functions, developers can focus on writing code without worrying about managing servers or infrastructure. Leading ruby on rails development companies in the USA are embracing serverless architecture to build lightweight, event-driven applications that can scale seamlessly in response to fluctuating workloads and user demand.
Augmented Reality (AR) and Virtual Reality (VR) Experiences:
The integration of augmented reality (AR) and virtual reality (VR) technologies into web applications is opening up new possibilities for immersive and interactive user experiences. In Ruby on Rails web development, developers are exploring ways to incorporate AR and VR features into e-commerce platforms, educational portals, and entertainment websites. Ruby on Rails web development companies in the USA are at the forefront of this trend, leveraging RoR's flexibility and versatility to build immersive AR and VR experiences that push the boundaries of traditional web development.
Conclusion:
As technology continues to evolve and market demands shift, the future of Ruby on Rails web development holds immense potential for innovation and growth. By embracing emerging trends such as modern JavaScript frameworks, microservices architecture, progressive web applications, AI-powered applications, serverless architecture, and AR/VR experiences, ruby on rails web development company usa are poised to lead the way in shaping the next generation of web applications. With their expertise, creativity, and commitment to excellence, these companies are driving innovation and pushing the boundaries of what is possible in Ruby on Rails web development.
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ho2k-com · 2 months
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priya-joshi · 7 months
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Elevating Your Full-Stack Developer Expertise: Exploring Emerging Skills and Technologies
Introduction: In the dynamic landscape of web development, staying at the forefront requires continuous learning and adaptation. Full-stack developers play a pivotal role in crafting modern web applications, balancing frontend finesse with backend robustness. This guide delves into the evolving skills and technologies that can propel full-stack developers to new heights of expertise and innovation.
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Pioneering Progress: Key Skills for Full-Stack Developers
1. Innovating with Microservices Architecture:
Microservices have redefined application development, offering scalability and flexibility in the face of complexity. Mastery of frameworks like Kubernetes and Docker empowers developers to architect, deploy, and manage microservices efficiently. By breaking down monolithic applications into modular components, developers can iterate rapidly and respond to changing requirements with agility.
2. Embracing Serverless Computing:
The advent of serverless architecture has revolutionized infrastructure management, freeing developers from the burdens of server maintenance. Platforms such as AWS Lambda and Azure Functions enable developers to focus solely on code development, driving efficiency and cost-effectiveness. Embrace serverless computing to build scalable, event-driven applications that adapt seamlessly to fluctuating workloads.
3. Crafting Progressive Web Experiences (PWEs):
Progressive Web Apps (PWAs) herald a new era of web development, delivering native app-like experiences within the browser. Harness the power of technologies like Service Workers and Web App Manifests to create PWAs that are fast, reliable, and engaging. With features like offline functionality and push notifications, PWAs blur the lines between web and mobile, captivating users and enhancing engagement.
4. Harnessing GraphQL for Flexible Data Management:
GraphQL has emerged as a versatile alternative to RESTful APIs, offering a unified interface for data fetching and manipulation. Dive into GraphQL's intuitive query language and schema-driven approach to simplify data interactions and optimize performance. With GraphQL, developers can fetch precisely the data they need, minimizing overhead and maximizing efficiency.
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5. Unlocking Potential with Jamstack Development:
Jamstack architecture empowers developers to build fast, secure, and scalable web applications using modern tools and practices. Explore frameworks like Gatsby and Next.js to leverage pre-rendering, serverless functions, and CDN caching. By decoupling frontend presentation from backend logic, Jamstack enables developers to deliver blazing-fast experiences that delight users and drive engagement.
6. Integrating Headless CMS for Content Flexibility:
Headless CMS platforms offer developers unprecedented control over content management, enabling seamless integration with frontend frameworks. Explore platforms like Contentful and Strapi to decouple content creation from presentation, facilitating dynamic and personalized experiences across channels. With headless CMS, developers can iterate quickly and deliver content-driven applications with ease.
7. Optimizing Single Page Applications (SPAs) for Performance:
Single Page Applications (SPAs) provide immersive user experiences but require careful optimization to ensure performance and responsiveness. Implement techniques like lazy loading and server-side rendering to minimize load times and enhance interactivity. By optimizing resource delivery and prioritizing critical content, developers can create SPAs that deliver a seamless and engaging user experience.
8. Infusing Intelligence with Machine Learning and AI:
Machine learning and artificial intelligence open new frontiers for full-stack developers, enabling intelligent features and personalized experiences. Dive into frameworks like TensorFlow.js and PyTorch.js to build recommendation systems, predictive analytics, and natural language processing capabilities. By harnessing the power of machine learning, developers can create smarter, more adaptive applications that anticipate user needs and preferences.
9. Safeguarding Applications with Cybersecurity Best Practices:
As cyber threats continue to evolve, cybersecurity remains a critical concern for developers and organizations alike. Stay informed about common vulnerabilities and adhere to best practices for securing applications and user data. By implementing robust security measures and proactive monitoring, developers can protect against potential threats and safeguard the integrity of their applications.
10. Streamlining Development with CI/CD Pipelines:
Continuous Integration and Deployment (CI/CD) pipelines are essential for accelerating development workflows and ensuring code quality and reliability. Explore tools like Jenkins, CircleCI, and GitLab CI/CD to automate testing, integration, and deployment processes. By embracing CI/CD best practices, developers can deliver updates and features with confidence, driving innovation and agility in their development cycles.
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siddaling · 11 months
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Advanced Techniques in Full-Stack Development
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Certainly, let's delve deeper into more advanced techniques and concepts in full-stack development:
1. Server-Side Rendering (SSR) and Static Site Generation (SSG):
SSR: Rendering web pages on the server side to improve performance and SEO by delivering fully rendered pages to the client.
SSG: Generating static HTML files at build time, enhancing speed, and reducing the server load.
2. WebAssembly:
WebAssembly (Wasm): A binary instruction format for a stack-based virtual machine. It allows high-performance execution of code on web browsers, enabling languages like C, C++, and Rust to run in web applications.
3. Progressive Web Apps (PWAs) Enhancements:
Background Sync: Allowing PWAs to sync data in the background even when the app is closed.
Web Push Notifications: Implementing push notifications to engage users even when they are not actively using the application.
4. State Management:
Redux and MobX: Advanced state management libraries in React applications for managing complex application states efficiently.
Reactive Programming: Utilizing RxJS or other reactive programming libraries to handle asynchronous data streams and events in real-time applications.
5. WebSockets and WebRTC:
WebSockets: Enabling real-time, bidirectional communication between clients and servers for applications requiring constant data updates.
WebRTC: Facilitating real-time communication, such as video chat, directly between web browsers without the need for plugins or additional software.
6. Caching Strategies:
Content Delivery Networks (CDN): Leveraging CDNs to cache and distribute content globally, improving website loading speeds for users worldwide.
Service Workers: Using service workers to cache assets and data, providing offline access and improving performance for returning visitors.
7. GraphQL Subscriptions:
GraphQL Subscriptions: Enabling real-time updates in GraphQL APIs by allowing clients to subscribe to specific events and receive push notifications when data changes.
8. Authentication and Authorization:
OAuth 2.0 and OpenID Connect: Implementing secure authentication and authorization protocols for user login and access control.
JSON Web Tokens (JWT): Utilizing JWTs to securely transmit information between parties, ensuring data integrity and authenticity.
9. Content Management Systems (CMS) Integration:
Headless CMS: Integrating headless CMS like Contentful or Strapi, allowing content creators to manage content independently from the application's front end.
10. Automated Performance Optimization:
Lighthouse and Web Vitals: Utilizing tools like Lighthouse and Google's Web Vitals to measure and optimize web performance, focusing on key user-centric metrics like loading speed and interactivity.
11. Machine Learning and AI Integration:
TensorFlow.js and ONNX.js: Integrating machine learning models directly into web applications for tasks like image recognition, language processing, and recommendation systems.
12. Cross-Platform Development with Electron:
Electron: Building cross-platform desktop applications using web technologies (HTML, CSS, JavaScript), allowing developers to create desktop apps for Windows, macOS, and Linux.
13. Advanced Database Techniques:
Database Sharding: Implementing database sharding techniques to distribute large databases across multiple servers, improving scalability and performance.
Full-Text Search and Indexing: Implementing full-text search capabilities and optimized indexing for efficient searching and data retrieval.
14. Chaos Engineering:
Chaos Engineering: Introducing controlled experiments to identify weaknesses and potential failures in the system, ensuring the application's resilience and reliability.
15. Serverless Architectures with AWS Lambda or Azure Functions:
Serverless Architectures: Building applications as a collection of small, single-purpose functions that run in a serverless environment, providing automatic scaling and cost efficiency.
16. Data Pipelines and ETL (Extract, Transform, Load) Processes:
Data Pipelines: Creating automated data pipelines for processing and transforming large volumes of data, integrating various data sources and ensuring data consistency.
17. Responsive Design and Accessibility:
Responsive Design: Implementing advanced responsive design techniques for seamless user experiences across a variety of devices and screen sizes.
Accessibility: Ensuring web applications are accessible to all users, including those with disabilities, by following WCAG guidelines and ARIA practices.
full stack development training in Pune
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ajpandey1 · 1 year
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Amazon Web Service & Adobe Experience Manager:- A Journey together (Part-1)
In the world of digital marketing today, providing a quick, secure, and seamless experience is crucial. A quicker time to market might be a differentiation, and it is crucial to reach a larger audience across all devices. Businesses are relying on cloud-based solutions to increase corporate agility, seize new opportunities, and cut costs.
Managing your marketing content and assets is simple with AEM. There are many advantages to using AWS to run AEM, including improved business agility, better flexibility, and lower expenses.
AEM & AWS a Gift for you:-
We knows about AEM as market leader in the Digital marketing but AWS is having answer for almost all the Architectural concerns like global capacity, security, reliability, fault tolerance, programmability, and usability.
So now AEM become more powerful with the power of AWS and gaining more popularity than the on-premises infrastructure.
Limitless Capacity
This combination gives full freedom to scale all AEM environments speedily in cost effective manner, addition is now more easy, In peak traffic volume where requests are very huge or unknown then AEM instance need more power or scaling . Here friend AWS come in to picture for rescue as the on-demand feature allows to scale all workloads. In holiday season, sporting events and sale events like thanks giving etc. AWS is holding hand of AEM and say
"Hey don't worry I am here for you, i will not left you alone in these peak scenario"
When AEM require upgrade but worried about other things like downtime backup etc then also AWS as friend come and support greatly with its cloud capability. It streamlines upgrades and deployments of AEM.
Now it become easy task with AWS. Parallel environment is cake walk now, so migration and testing is much easier without thinking of the infrastructure difficulties.
Performance testing from the QA is much easier without disturbing production. It can be done in AEM production-like environment. Performing the actual production upgrade itself can then be as simple as the change of a domain name system (DNS) entry.
Sky is no limit for AEM with AWS features and Capabilities :
As a market leader AEM is used by customers as the foundation of their digital marketing platform. AWS and AEM can provide a lot of third part integration opportunity such as blogs, and providing additional tools for supporting mobile delivery, analytics, and big data management.
A new feature can be generated with AWS & AEM combination.Many services like Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (Amazon SQS), and AWS Lambda, AEM functionality easily integrated with third-party APIs in a decoupled manner. AWS can provide a clean, manageable, and auditable approach to decoupled integration with back-end systems such as CRM and e-commerce systems.
24*7 Global Availability of AEM with Buddy AWS
A more Agile and Innovative requirement can fulfill by cloud transition. How innovation and how much Agile, in previous on-premise environment for any innovation need new infrastructure and more capital expenditure (Capex). Here again the golden combination of AWS and AEM will make things easier and agile. The AWS Cloud model gives you the agility to quickly spin up new instances on AWS, and the ability to try out new services without investing in large and upfront costs. One of the feature of AWS pay-for-what-you-use pricing model is become savior in these activities.
AWS Global Infrastructure available across 24 geographic regions around the globe, so enabling customers to deploy on a global footprint quickly and easily.
Major Security concerns handled with High-Compliance
Security is the major concern about any AEM website. AWS gifts these control and confidence for secure environment. AWS ensure that you will gain the control and confidence with safety and flexibility in secure cloud computing environment . AWS, provides way to improve ability to meet core security and compliance requirements with a comprehensive set of services and features. Compliance certifications and attestations are assessed by a third-party, independent auditor.
Running AEM on AWS provides customers with the benefits of leveraging the compliance and security capabilities of AWS, along with the ability to monitor and audit access to AEM using AWS Security, Identity and Compliance services.
Continue in part-2.......
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jaiinfoway · 2 years
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Visit #jainfoway www.jaiinfoway.com for Deploy AWS Lambda Functions As Docker Container Images.
Read more; https://jaiinfoway.com/deploy-aws-lambda-functions-as-docker-container-images/
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aishwaryaanair · 15 days
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Top 10 Development Certifications
Top 10 Development Certifications to Boost Your Career in 2024
Introduction:
In today’s rapidly evolving technological landscape, development certifications have become essential for professionals looking to stay competitive and advance their careers. These certifications validate your skills, enhance your credibility, and open doors to new opportunities. Check out these certifications to upskill yourself.
Top 10 development certifications to consider in 2024:
1. Microsoft Certified: Azure Developer Associate
This certification validates your ability to build, test, and deploy cloud-based applications on Microsoft Azure. It is ideal for developers who want to specialize in Azure development.
Who will benefit: Developers, software engineers, and professionals working with Azure.
Skills to learn:
Building and deploying cloud applications on Azure.
Using Azure App Service, Azure Functions, and other Azure services.
Implementing REST APIs and microservices.
Testing and debugging cloud applications
Duration: Varies based on individual learning pace and experience.
2. AWS Certified Developer — Associate
This certification validates your ability to build, test, and deploy serverless applications on Amazon Web Services (AWS). It is ideal for developers who want to specialize in AWS development.
Who will benefit: Developers, software engineers, and professionals working with AWS.
Skills to learn:
Building and deploying serverless applications on AWS.
Using AWS Lambda, API Gateway, and other AWS services.
Implementing REST APIs and microservices.
Testing and debugging serverless applications.
Duration: Varies based on individual learning pace and experience.
3. AI CERTs™ AI+ Developer
This certification from AI CERTs™ focuses on AI development and machine learning. It is suitable for developers who want to build AI-powered applications.
Who will benefit: Developers, software engineers, and professionals interested in AI and machine learning.
Skills to learn:
Building and training machine learning models.
Using AI frameworks and libraries.
Implementing AI algorithms.
Developing AI applications.
Duration: Varies based on individual learning pace and experience.
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4. Google Cloud Certified Professional Cloud Developer
This certification validates your ability to build and deploy cloud-based applications on Google Cloud Platform. It is ideal for developers who want to specialize in Google Cloud development.
Who will benefit: Developers, software engineers, and professionals working with Google Cloud Platform.
Skills to learn:
Building and deploying cloud applications on Google Cloud Platform.
Using Google App Engine, Cloud Functions, and other Google Cloud services.
Implementing REST APIs and microservices.
Testing and debugging cloud applications.
Duration: Varies based on individual learning pace and experience.
5. Cisco Certified DevNet Associate
This certification validates your ability to develop applications and integrations using Cisco APIs and technologies. It is ideal for developers who want to work with Cisco’s network infrastructure.
Who will benefit: Developers, software engineers, and professionals working with Cisco’s network infrastructure.
Skills to learn:
Using Cisco APIs and SDKs.
Developing applications for Cisco platforms.
Integrating Cisco technologies with other systems.
Understanding network automation and programmability.
Duration: Varies based on individual learning pace and experience.
6. IBM Certified Associate Developer — Full Stack
This certification validates your ability to build full-stack web applications using IBM technologies. It is ideal for developers who want to specialize in full-stack development.
Who will benefit: Developers, software engineers, and professionals working with IBM technologies.
Skills to learn:
Building full-stack web applications using IBM technologies.
Using IBM Cloud, Node.js, and other IBM tools.
Implementing front-end and back-end development.
Testing and debugging web applications.
Duration: Varies based on individual learning pace and experience.
7. Adobe Certified Expert — Adobe Experience Manager
This certification validates your expertise in Adobe Experience Manager, a leading digital experience platform. It is ideal for developers who want to specialize in building and managing digital experiences.
Who will benefit: Developers, software engineers, and professionals working with Adobe Experience Manager.
Skills to learn:
Building and managing digital experiences using Adobe Experience Manager.
Using Adobe Experience Manager’s content management and personalization features.
Integrating Adobe Experience Manager with other systems.
Understanding digital marketing and customer experience.
Duration: Varies based on individual learning pace and experience.
8. Google Cloud Certified Professional Data Engineer
This certification validates your ability to design, build, and maintain data pipelines and infrastructure on Google Cloud Platform. It is ideal for developers who want to work with big data.
Who will benefit: Developers, software engineers, and professionals working with big data.
Skills to learn:
Designing and building data pipelines on Google Cloud Platform.
Using Google Cloud Dataflow, Dataproc, and other data tools.
Implementing data warehousing and data lake solutions.
Optimizing data processing performance.
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9. Certified Scrum Developer
This certification validates your ability to work as a developer in a Scrum environment. It is ideal for developers who want to improve their Agile development skills.
Who will benefit: Developers, software engineers, and professionals working in Agile environments.
Skills to learn:
Working in a Scrum team.
Understanding Scrum principles and practices.
Contributing to Scrum ceremonies and artifacts.
Following Agile development methodologies.
Duration: Varies based on individual learning pace and experience.
10. AWS Certified DevOps Engineer
This certification validates your ability to implement and manage DevOps practices. It is ideal for developers who want to improve their DevOps skills.
Who will benefit: Developers, software engineers, and professionals working in DevOps environments.
Skills to learn:
Implementing DevOps practices.
Using DevOps tools and technologies.
Automating software delivery and deployment.
Collaborating with development and operations teams.
Duration: Varies based on individual learning pace and experience.
Industries using these certifications:
These certifications are valuable in a wide range of industries, including:
Technology
Software development
E-commerce
Finance
Healthcare
Education
Government
Conclusion
By pursuing certifications in development, you can position yourself for career advancement and contribute to the development of innovative solutions in these rapidly growing fields.
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