Quiz-Takers Return Again and Again to Prove Their Serverless Knowledge

This past November, the Cloudtech team attended AWS re:Invent, the premier AWS customer event held in Las Vegas every year. Along with meeting customers and connecting with AWS teams, Cloudtech also sponsored the event with a booth at the re:Invent expo. 

With a goal of engaging our re:Invent booth visitors and educating them on our mission to solve data problems with serverless technologies, we created our Serverless Smarts quiz. The quiz, powered by AWS, asked users to answer five questions about AWS serverless technologies, and scored quiz-takers based on accuracy and speed at which they answered the questions. Paired with a claw machine to award quiz-takers with a chance to win prizes, we saw increased interest in our booth from technical attendees ranging from CTOs to DevOps engineers.

But how did we do it? Read more below to see how we developed the quiz, the data we gathered, and key takeaways we’ll build on for re:Invent next year.

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What We Built

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Designed by our Principal Cloud Solutions Architect, the Serverless Smarts quiz was populated with 250 questions with four possible answers each, ranging in difficulty to assess the quiz-taker’s knowledge of AWS serverless technologies and related solutions. When a user would take the quiz, they would be presented with five questions from the database randomly, given 30 seconds to answer each, and the speed and accuracy of their answers would determine their overall score. This quiz was built in a way that could be adjusted in real-time, meaning we could react to customer feedback and outcomes if the quiz was too difficult or we weren’t seeing enough variance on the leaderboard. Our goal was to continually make improvements to give the quiz-taker the best experience possible.

The quiz application's architecture leveraged serverless technologies for efficiency and scalability. The backend consisted of AWS Lambda functions, orchestrated behind an API Gateway and further secured by CloudFront. The frontend utilized static web pages hosted on S3, also behind CloudFront. DynamoDB served as the serverless database, enabling real-time updates to the leaderboard through WebSocket APIs triggered by DynamoDB streams. The deployment was streamlined using the SAM template.

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Please see the Quiz Architecture below: 

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What We Saw in the Data

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As soon as re:Invent wrapped, we dived right into the data to extract insights. Our findings are summarized below: 

• Quiz and Quiz Again: The quiz was popular with repeat quiz-takers! With a total number of 1,298 unique quiz-takers and 3,627 quizzes completed, we saw an average of 2.75 quiz completions per user. Quiz-takers were intent on beating their score and showing up on the leaderboard, and we often had people at our booth taking the quiz multiple times in one day to try to out-do their past scores. It was so fun to cheer them on throughout the week. 
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• Everyone's a Winner: Serverless experts battled it out on the leaderboard. After just one day, our leaderboard was full of scores over 1,000, with the highest score at the end of the week being 1,050. We saw an average quiz score of 610, higher than the required 600 score to receive our Serverless Smarts credential badge. And even though we had a handful of quiz-takers score 0, everyone who took the quiz got to play our claw machine, so it was a win all around! 
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• Speed Matters: We saw quiz-takers soar above the pressure of answering our quiz questions quickly, knowing answers were scored on speed as well as accuracy. The average amount of time it took to complete the quiz was 1-2 minutes. We saw this time speed up as quiz-takers were working hard and fast to make it to the leaderboard, too. 
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• AWS Proved their Serverless Chops: As leaders in serverless computing and data management, AWS team members showed up in a big way. We had 118 people from AWS take our quiz, with an average score of 636 - 26 points above the average - truly showcasing their knowledge and expertise for their customers. 
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• We Made A Lot of New Friends: We had quiz-takers representing 794 businesses and organizations - a truly wide-ranging activity connecting with so many re:Invent attendees. Deloitte and IBM showed the most participation outside of AWS - I sure hope you all went back home and compared scores to showcase who reigns serverless supreme in your organizations! 

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Please see our Serverless Smarts Leaderboard below

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What We Learned 

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Over the course of re:Invent, and our four days at our booth in the expo hall, our team gathered a variety of learnings. We proved (to ourselves) that we can create engaging and fun applications to give customers an experience they want to take with them. 

We also learned that challenging our technology team to work together and injecting some fun and creativity into their building process combined with the power of AWS serverless products can deliver results for our customers.  

Finally, we learned the value of thinking outside the box to deliver for customers is the key to long term success.

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Conclusion

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re:Invent 2023 was a success, not only in connecting directly with AWS customers, but also in learning how others in the industry are leveraging serverless technologies. All of this information helps Cloudtech solidify its approach as an exclusive AWS Partner and serverless implementation provider. 

If you want to hear more about how Cloudtech helps businesses solve data problems with AWS serverless technologies, please connect with us - we would love to talk with you!

And we can’t wait until re:Invent 2024. See you there!

Introduction

In today's fast-paced, high-tech landscape, the way businesses handle the discovery and utilization of their digital media assets can have a huge impact on their advertising, e-commerce, and content creation. The importance and demand for intelligent and accurate digital media asset searches is essential and has fueled businesses to be more innovative in how those assets are stored and searched, to meet the needs of their customers. Addressing both customers’ needs, and overall business needs of efficient asset search can be met by leveraging cloud computing and the cutting-edge prowess of artificial intelligence (AI) technologies.

Use Case Scenario

Now, let's dive right into a real-life scenario. An asset management company has an extensive library of digital image assets. Currently, their clients have no easy way to search for images based on embedded objects and content in the images. The company’s main objective is to provide an intelligent and accurate retrieval solution which will allow their clients to search based on embedded objects and content. So, to satisfy this objective, we introduce a formidable duo: the vector engine for Amazon OpenSearch Serverless, along with Amazon Rekognition. The combined strengths of Amazon Rekognition and OpenSearch Serverless will provide intelligent and accurate digital image search capabilities that will meet the company’s objective.

Architecture

Architecture Overview

The architecture for this intelligent image search system consists of several key components that work together to deliver a smooth and responsive user experience. Let's take a closer look:

Vector engine for Amazon OpenSearch Serverless:‍

1. The vector engine for OpenSearch Serverless serves as the core component for vector data storage and retrieval, allowing for highly efficient and scalable search operations.

Vector Data Generation:

1. When a user uploads a new image to the application, the image is stored in an Amazon S3 Bucket.
2. S3 event notifications are used to send events to an SQS Queue, which acts as a message processing system.
3. The SQS Queue triggers a Lambda Function, which handles further processing. This approach ensures system resilience during traffic spikes by moderating the traffic to the Lambda function.
4. The Lambda Function performs the following operations:

               - Extracts metadata from images using Amazon Rekognition's `detect_labels` API call.

               - Creates vector embeddings for the labels extracted from the image.

               - Stores the vector data embeddings into the OpenSearch Vector Search Collection in a serverless manner.

                - Labels are identified and marked as tags, which are then assigned to .jpeg formatted images.

Query the Search Engine:

1. Users search for digital images within the application by specifying query parameters.
2. The application queries the OpenSearch Vector Search Collection with these parameters.
3. The Lambda Function then performs the search operation within the OpenSearch Vector Search Collection, retrieving images based on the entities used as metadata.

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Advantages of Using the Vector Engine for Amazon OpenSearch Serverless

The choice to utilize the OpenSearch Vector Search Collection as a vector database for this use case offers significant advantages:

1. Usability: Amazon OpenSearch Service provides a user-friendly experience, making it easier to set up and manage the vector search system.
2. Scalability: The serverless architecture allows the system to scale automatically based on demand. This means that during high-traffic periods, the system can seamlessly handle increased loads without manual intervention.
3. Availability: The managed AI/ML services provided by AWS ensure high availability, reducing the risk of service interruptions.
4. Interoperability: OpenSearch's search features enhance the overall search experience by providing flexible query capabilities.
5. Security: Leveraging AWS services ensures robust security protocols, helping protect sensitive data.
6. Operational Efficiency: The serverless approach eliminates the need for manual provisioning, configuration, and tuning of clusters, streamlining operations.
7. Flexible Pricing: The pay-as-you-go pricing model is cost-effective, as you only pay for the resources you consume, making it an economical choice for businesses.

Conclusion

The combined strengths of the vector engine for Amazon OpenSearch Serverless and Amazon Rekognition mark a new era of efficiency, cost-effectiveness, and heightened user satisfaction in intelligent and accurate digital media asset searches. This solution equips businesses with the tools to explore new possibilities, establishing itself as a vital asset for industries reliant on robust image management systems.

The benefits of this solution have been measured in these key areas:

• First, search efficiency has seen a remarkable 60% improvement. This translates into significantly enhanced user experiences, with clients and staff gaining swift and accurate access to the right images.
• Furthermore, the automated image metadata generation feature has slashed manual tagging efforts by a staggering 75%, resulting in substantial cost savings and freeing up valuable human resources. This not only guarantees data identification accuracy but also fosters consistency in asset management.
• In addition, the solution’s scalability has led to a 40% reduction in infrastructure costs. The serverless architecture permits cost-effective, on-demand scaling without the need for hefty hardware investments.

In summary, the fusion of the vector engine for Amazon OpenSearch Serverless and Amazon Rekognition for intelligent and accurate digital image search capabilities has proven to be a game-changer for businesses, especially for businesses seeking to leverage this type of solution to streamline and improve the utilization of their image repository for advertising, e-commerce, and content creation.

If you’re looking to modernize your cloud journey with AWS, and want to learn more about the serverless capabilities of Amazon OpenSearch Service, the vector engine, and other technologies, please contact us.

For small and mid-sized businesses (SMBs), documents are the backbone of operations. Contracts, invoices, insurance claims, and loan applications hold critical information but often come buried under layers of text, handwriting, and complex formatting. Traditionally, extracting and processing this data meant hours of manual work. But with Intelligent Document Processing (IDP), that’s changing.

More than just automation, modern IDP solutions use generative AI and large language models (LLMs) to quickly extract, understand, and process information with high accuracy. This means faster workflows, fewer errors, and less manual effort. 

With the IDP market projected to grow from $10.57 billion in 2025 to $66.68 billion by 2032, businesses are adopting these solutions to stay competitive. But what makes IDP so effective, and why should SMBs invest in it? Let’s take a closer look.

What is Intelligent Document Processing (IDP)?

Intelligent Document Processing (IDP) is an AI-powered technology that automates the extraction, classification, and validation of data from structured, semi-structured, and unstructured documents. It utilizes optical character recognition (OCR), natural language processing (NLP), machine learning, and large language models (LLMs) to interpret context, enhance accuracy, and minimize human intervention.

How is IDP Helpful to SMBs? 

Small and mid-sized businesses (SMBs) handle hundreds of invoices daily, printed, handwritten, PDFs, or images, often relying on manual data extraction for vendor names, amounts, and due dates. 

Intelligent Document Processing (IDP) automates this process by scanning invoices, extracting key details, and updating records instantly, minimizing errors and saving valuable time. Whereas, businesses looking to automate these processes often turn to Robotic Process Automation (RPA). 

RPA (Robotic Process Automation) uses software bots to handle repetitive, rule-based tasks, like copying data, filling out forms, or clicking through systems, just like a human would.

In order to convert the unstructured (emails with order details, handwritten invoices, contracts, or customer support chat logs) and semi-structured data (invoices in different formats, bank statements, shipping labels, or survey responses) to usable information, IDP primarily serves as a key enabler for RPA. 

In simple terms, IDP extracts and organizes data from unstructured documents. This enables RPA to seamlessly execute follow-up actions, allowing SMBs to automate entire workflows with speed and accuracy.

How Does IDP Work?

IDP follows a simple step-by-step process:

1. Document Upload: Files are scanned or uploaded into a system, like Amazon S3.
2. Classification: IDP sorts them into categories (e.g., invoices, legal contracts).
3. Data Extraction: It pulls out key information using AI-powered tools like Amazon Textract (for text and handwriting recognition) and Amazon Comprehend (for natural language understanding), and many more.
4. Data Enrichment: The extracted information is processed further, removing sensitive details, tagging relevant data, or cross-checking with existing records.
5. Validation & Review: If IDP is uncertain about some data, it sends it to a human reviewer for verification.
6. Integration: The final, validated data is sent to business applications for processing, storage, or analysis.

This process enables companies to manage large volumes of paperwork effortlessly, unlocking faster decision-making, cost savings, and better compliance.

What are the Top 4 Use Cases of IDP?

Every industry has its share of paper-heavy processes. Some are buried in stacks of contracts. Others are drowning in forms that never seem to end. While SMBs have embraced digital transformation, many still struggle with legacy systems, compliance requirements, and unstructured data, making manual workflows a persistent challenge.

Here are some common use cases of how Intelligent Document Processing (IDP) is making a difference across industries:

1. Healthcare

Hospitals and clinics generate mountains of paperwork every single day. From patient insurance claims to lab results, prescriptions, and discharge summaries, it’s a never-ending cycle. Manually entering this data slows down treatment, delays claim settlements, and increases the chances of human error.

With IDP, whether a small clinic or a hospital chain, paperwork can be scanned and automatically read, sorted, and organized, with no manual effort needed. For example, when a patient files an insurance claim for the treatment they received, IDP can read their documents, extract policy numbers, treatment details, and amounts in minutes.

IDP also works hand in hand with electronic medical records (EMRs), feeding structured data directly into EMR systems. This ensures faster documentation, better accuracy, and real-time access to patient information.

Here’s What You Can Expect with IDP in Healthcare:

• Claims processed in hours, not weeks: Reduce claims turnaround time from 4–6 weeks to just 24–48 hours.
• Fewer documentation errors: Boost accuracy from 75% to 99.8%, minimizing costly mistakes.
• Faster compliance checks: Cut down review time from months to just 2 weeks, helping you stay audit-ready.
• Better fraud detection: Use AI-powered alerts to catch 50% more fraudulent claims before they’re approved.

2. Insurance

Insurance companies deal with multiple claims every single day. Many of these come in the form of handwritten documents, scanned medical records, EMRs, or multi-page reports. Reading through these manually is time-consuming and often leads to missed information or delays in approvals.

IDP can automatically scan all your incoming claim documents, understand the context, extract key data like diagnosis, dates, and claim amounts, and flag anything suspicious. This speeds up the process significantly and helps detect any foul or fraud activities early.

Here’s What You Can Expect with IDP in Insurance:

• No more manual data entry: Instantly extract claim details, policyholder info, and coverage terms with high accuracy.
• Faster claim approvals: AI models evaluate claim validity, cutting approval times from 4–6 weeks to just 24–48 hours.
• Fewer disputes, less fraud: Real-time cross-checking against contracts, medical records, and past claims helps reduce errors and flag fraudulent activity.

3. Legal

Legal work involves handling large volumes of documents that require precision and attention to detail. Lawyers and paralegals often dedicate significant time to reviewing contracts, agreements, and case files to ensure accuracy and compliance. 

Traditionally, these processes took weeks, and teams had to sift through hundreds of pages, flag inconsistencies, and ensure compliance. But with IDP, just a few hours.

Here’s how IDP helps with Legal work:

• Rapid Document Analysis: Scans and analyzes 300+ pages of contracts in minutes.
• Accurate Clause Extraction: Extracts key clauses, obligations, and financial risks with 99% accuracy.
• Error and Discrepancy Detection: Flags missing signatures and discrepancies automatically.
• Accelerated Legal Review: With everything verified instantly, the legal team moved straight to negotiation, saving over 80% of the usual review time.
• Automated Draft Creation: Auto-generates first drafts of legal documents using pre-set templates, reducing drafting time by up to 72%.

With IDP verifying these instantly, the legal team moved straight to negotiation, saving over 80% of the usual review time. For legal teams at small and mid-sized firms, this means less grunt work, more strategy. For clients? Faster deals, lower costs, and airtight compliance.

4. Logistics

Small and medium-sized logistics companies handle a vast array of documents like shipping manifests, bills of lading, invoices, and customs declarations. Managing these manually can lead to delays, errors, and increased operational costs.​

By integrating IDP, logistics businesses can reduce manual data entry, expedite shipment processing, and improve compliance with regulatory requirements.​

Here’s how IDP helps Small or Medium-sized Logistics businesses:

• Faster shipment processing: IDP can reduce document processing times by 50–70%, accelerating shipment handling and delivery schedules. ​
• Improved accuracy in documentation: Automation minimizes manual data entry errors, enhancing data quality and reducing discrepancies.
• Enhanced compliance: IDP ensures accurate data capture and storage, aiding adherence to regulatory requirements and reducing compliance risks.
• Cost savings: By automating document processing, businesses can achieve average savings of 25–40%, lowering operational expenses.

Conclusion

For SMBs drowning in paperwork, IDP isn’t just a convenience. It’s a competitive edge. By eliminating bottlenecks, reducing errors, and speeding up workflows, it transforms how organizations handle information.

Cloudtech is a platform that provides tailored cloud solutions that optimize IDP performance, ensuring seamless automation, secure data processing, and reduced operational costs. With expertise in serverless computing, data modernization, and resilient cloud architectures, Cloudtech helps SMBs process documents faster, improve security, and cut costs.

Cloudtech delivers custom-built cloud solutions that drive real business impact. Explore how Cloudtech can modernize your cloud environment and power intelligent automation at scale.

FAQs

• Is IDP only for large enterprises?
  Not at all. Intelligent Document Processing (IDP) is equally valuable for small and medium businesses. In fact, SMBs benefit even more by reducing manual work, saving time, and lowering operational costs with limited teams.
  
  
• How does IDP actually help my small team?
  IDP automates repetitive tasks like data entry, document sorting, and verification. This helps your small team focus on more meaningful work such as sales, support, or operations. It also improves accuracy and speeds up business processes.
  
  
•  Is IDP secure enough for sensitive business documents?
  Yes. Most IDP solutions use strong encryption, access controls, and secure storage to protect your documents. Many are also compliant with data protection regulations to keep your information safe.
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• How is Intelligent Document Processing (IDP) different from Robotic Process Automation (RPA)?
  Robotic Process Automation (RPA) handles simple, rule-based tasks like copying, pasting, or clicking through screens. However, it cannot understand unstructured or messy data. Intelligent Document Processing (IDP) steps in to read, understand, and pull out useful information from documents. It then passes the clean data to RPA so it can do its job. In short, IDP handles the thinking, and RPA does the doing.
  

Cloudtech, an Advanced Tier AWS consulting partner today announced that it has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) as part of the newly launched Small Business Acceleration Initiative (SBAI). This initiative, introduced at AWS re:Invent 2024, is designed to drive cloud adoption among small businesses by leveraging AWS Partner-led solutions and resources.

Cloudtech is one of the first 26 partners selected globally to participate in SBAI, reinforcing its commitment to empowering small and medium-sized businesses (SMBs) with cutting-edge cloud solutions. Through this agreement, Cloudtech will work closely with AWS to simplify cloud adoption for SMBs, providing them with tailored cloud migration strategies, cost optimization frameworks, and industry-specific solutions.Empowering Small Businesses with AWS Cloud

The AWS Small and Medium Business (SMB) Competency, launched in January 2024, has already demonstrated strong growth, with participating AWS Partners achieving 35% higher YoY SMB business growth compared to non-certified partners. Building on this success, AWS has introduced SBAI to create a Partner-led channel sales motion, offering:

• Dedicated AWS supportthrough AWS Partner Territory Managers.
• SMB-focused marketing & sales enablement via AWS demand generation programs.
• Access to AWS Small Business Acceleration Package,a comprehensive resource hub for go-to-market strategies, sales plays, and packaged cloud solutions.

Cloudtech’s Role in AWS SBAIUnder the new SCA, Cloudtech will leverage its deep expertise in cloud transformation to accelerate AWS adoption among small businesses by:

• Offering tailored AWS solutions to simplify cloud migration and modernization.
• Providing strategic guidance
  to SMBs on optimizing cloud costs, performance, and security.

• Leveraging AWS co-marketing programs to educate and enable small businesses on cloud best practices.

“Small businesses are the backbone of innovation and economic growth. By joining forces with AWS under the SBAI, Cloudtech is committed to making cloud transformation more accessible, efficient, and scalable for SMBs in the USA,” said Kamran Adil, CEO of Cloudtech.

‍“This collaboration allows us to extend AWS’s world-class cloud capabilities to small businesses, helping them unlock new opportunities for growth and digital transformation.”Looking Ahead

With the AWS Small Business Acceleration Initiative launching on January 1, 2025, Cloudtech will actively engage with SMB customers, AWS Partner Territory Managers, and ecosystem partners to drive cloud adoption and business success.For more information on how Cloudtech helps small businesses accelerate their AWS journey, visit https://www.cloudtech.com/cloudtech-for-smb

‍About Cloudtech

Cloudtech is a boutique professional services firm that accelerates businesses on their cloud transformation journey by delivering curated modernization solutions. As an exclusive AWS partner, we specialize in helping businesses migrate and modernize their applications, optimize cost, security, and compliance across cloud infrastructures, and monetize data by building solutions that enable advanced analytics, ML, and GenAI applications.

For media inquiries, please contact:

‍Prerna Yadav

‍prerna@cloudtech.com

We are thrilled to announce that Cloudtech, a leading provider of cloud-based serverless solutions, has achieved the prestigious AWS OpenSearch Service Delivery Program. This notable accomplishment showcases our expertise in delivering cutting-edge search and analytics solutions using the AWS OpenSearch service.

The AWS OpenSearch Service Delivery Program

The AWS OpenSearch Service Delivery Program recognizes AWS Partners who possess technical proficiency, architectural expertise, and a successful track record of delivering projects utilizing the AWS OpenSearch service. Cloudtech’s achievement in this program underscores our commitment to delivering high-quality serverless cloud solutions to our valued clients.

What is AWS OpenSearch Service?

Formerly known as Amazon Elasticsearch Service, AWS OpenSearch Service is a managed, highly available, and fully compatible search service that simplifies the deployment, scaling, and management of the OpenSearch engine. Built on the popular Elasticsearch open-source project, AWS OpenSearch Service provides a seamless and feature-rich search experience, enabling businesses to index, search, and analyze vast amounts of data with ease.

Scalability and High Availability

AWS OpenSearch Service offers unmatched scalability, allowing businesses to handle any volume of data without worrying about infrastructure provisioning or performance bottlenecks. With the ability to horizontally scale clusters, organizations can effortlessly accommodate growing workloads, ensuring uninterrupted search functionality even during peak usage. Additionally, AWS OpenSearch Service ensures high availability by automatically replicating data across multiple Availability Zones, minimizing downtime and improving system resilience.

Robust Search and Analytics Capabilities

One of the primary advantages of AWS OpenSearch Service is its powerful search and analytics features. The service supports full-text search, enabling businesses to perform complex queries across large datasets and retrieve relevant results with lightning speed. With support for advanced search capabilities like fuzzy matching, faceted search, and geospatial queries, organizations can unlock valuable insights hidden within their data. Moreover, AWS OpenSearch Service seamlessly integrates with popular analytics tools like Kibana, empowering users to visualize and explore data through rich dashboards and visualizations.

Easy Integration and Data Ingestion

AWS OpenSearch Service simplifies the process of ingesting data from various sources into the search engine. It supports numerous data ingestion mechanisms, including bulk indexing, real-time streaming, and integrations with other AWS services like AWS Lambda and Amazon Kinesis. This flexibility allows businesses to ingest data in real-time, ensuring that the search index remains up-to-date and aligned with the latest information.

Security and Compliance

AWS OpenSearch Service places a strong emphasis on data security and compliance. It integrates seamlessly with AWS Identity and Access Management (IAM), enabling granular access control and ensuring that only authorized users can interact with the search infrastructure. Additionally, the service provides encryption at rest and in transit, ensuring that data remains protected throughout its lifecycle. AWS OpenSearch Service is also compliant with various industry standards and regulations, making it suitable for organizations with strict compliance requirements.

Cost-Effectiveness and Pay-as-You-Go Model

AWS OpenSearch Service follows a pay-as-you-go pricing model, where organizations are billed only for the resources they consume. This approach eliminates the need for upfront investments in hardware or infrastructure, making it a cost-effective solution for businesses of all sizes. Furthermore, the managed nature of the service reduces the operational overhead associated with self-hosted search deployments, enabling teams to focus on leveraging search capabilities rather than managing infrastructure.

At Cloudtech, we pride ourselves on our dedicated team of cloud architects and engineers who possess extensive knowledge of the AWS platform. Their expertise, combined with our successful implementations of AWS OpenSearch solutions across diverse industries, allows us to optimize your search capabilities, improve data exploration and analysis, and drive better decision-making for your organization.

As an AWS Consulting Partner, Cloudtech has a strong foundation in delivering cloud-based solutions that drive digital transformation. Our achievement in the AWS OpenSearch Service Delivery Program further solidifies our position as a trusted provider of serverless cloud solutions.

We extend our gratitude to our valued customers and partners for their ongoing support and trust in our capabilities. Cloudtech remains committed to empowering your organization with cutting-edge cloud technologies and delivering exceptional results.

Let’s Connect

To learn more about how Cloudtech can help optimize your search and analytics capabilities using the AWS OpenSearch service, please contact our team of experts at opensearch@cloudtech.com. Visit our website cloudtech.com to explore our comprehensive range of cloud-based solutions.

Thank you for being a part of Cloudtech’s journey to excellence

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We are pleased to announce that we have achieved Amazon Service Delivery designation for AWS API Gateway Service, recognizing that Cloudtech Inc follows best practices and has proven success delivering AWS services to end customers.

This is a small achievement in a long list of goals for Cloudtech Inc as it differentiates Cloudtech Inc as an AWS Partner Network (APN) member that provides specialized demonstrated technical proficiency and proven customer success in delivering API Gateway Services. To achieve this designation, Cloudtech Inc passed a rigorous technical validation performed by AWS Partner Solutions Architects who are experts in this service. They review prior case studies and architecture to ensure all the best practices are implemented in the project. Earlier We earned AWS Service Delivery Designation for Lambda Delivery. As an AWS Lambda Service Delivery Partner, Cloudtech Inc provides services and tools to help customers build or migrate their solutions to a microservices architecture running on serverless computing, allowing them to build services and applications without the need for provisioning or managing servers.

AWS is enabling scalable, flexible, and cost-effective solutions for startups to global enterprises. To support these solutions’ seamless integration and deployment, AWS established the AWS Service Delivery Program to help customers identify APN Consulting Partners with deep experience in delivering specific AWS services.

As an AWS API Gateway Service Delivery Partner, Cloudtech Inc will provide tools and services to help customers build, secure, and manage APIs, and API-driven architectures, at any scale.

Cloudtech Inc is always happy to help you at any time,  if you have any queries or questions, you can schedule a free call with our representatives and they will guide you further.

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