
AWS App Mesh makes it easy to monitor and control microservices running on AWS. App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.

Amazon AppStream 2.0 is a fully managed, secure application streaming service that allows you to stream desktop applications from AWS to any device running a web browser, without rewriting them.

Amazon Comprehend Medical is a natural language processing service that makes it easy to use machine learning to extract relevant medical information from unstructured text.

Amazon Kinesis Data Analytics is a fully managed service that enables real-time processing and analysis of streaming data using standard SQL or Apache Flink. It allows organizations to quickly build applications that continuously ingest and process data from sources like Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose. With Kinesis Data Analytics, users can perform time-series analytics, feed real-time dashboards, and generate real-time metrics without the need to manage the underlying infrastructure. Key Features and Functionality: - Real-Time Data Processing: Processes streaming data in real time, enabling immediate insights and actions. - SQL-Based Programming Model: Allows users to write SQL queries to perform operations such as filtering, aggregating, and joining on streaming data. - Apache Flink Integration: Supports Apache Flink for advanced stream processing capabilities, including stateful computations and complex event processing. - Automatic Scaling: Automatically scales resources based on the volume of incoming data streams, ensuring optimal performance. - Seamless Integration with AWS Services: Integrates with other AWS services like Amazon S3, Amazon Redshift, and Amazon OpenSearch Service for efficient data storage and analysis. - Built-in Fault Tolerance: Provides high availability and data durability through built-in fault tolerance mechanisms. Primary Value and Problem Solved: Amazon Kinesis Data Analytics addresses the challenge of processing and analyzing large volumes of streaming data in real time. By offering a serverless, fully managed service, it eliminates the complexities of infrastructure management, allowing organizations to focus on deriving actionable insights from their data streams. This capability is crucial for applications requiring immediate decision-making, such as real-time monitoring, anomaly detection, and dynamic pricing strategies.

Video ads empower you to tell stories and make emotional connections with customers throughout their decision journeys.

AWS Elemental MediaConvert is a file-based video transcoding service with broadcast-grade features. It allows you to easily create video-on-demand (VOD) content for broadcast and multiscreen delivery at scale.

AWS Enterprise Support is a comprehensive support plan designed for enterprise customers, providing access to technical expertise, architectural guidance, and proactive assistance to optimize their AWS environments.

AWS App Runner is a fully managed service that simplifies the process of building, deploying, and running containerized web applications and APIs. Designed for developers without prior infrastructure or container experience, App Runner handles the complexities of infrastructure management, allowing users to focus on their application code. By connecting directly to your source code or container image repository, App Runner provides an automatic integration and delivery pipeline with fully managed operations, high performance, scalability, and security. Key Features and Functionality: - Fully Managed Service: App Runner takes care of the underlying infrastructure and operational tasks, enabling developers to focus solely on their applications. - Automatic Scaling: The service automatically adjusts the number of container instances based on incoming traffic and resource utilization, ensuring optimal performance and cost-efficiency. - Continuous Deployment: App Runner integrates with popular CI/CD services, streamlining the build, deployment, and release processes. - Custom Domains and TLS Support: It supports custom domains and provides fully managed TLS certificates, ensuring secure access to applications. - Monitoring and Logging: App Runner integrates with Amazon CloudWatch, allowing developers to monitor application performance and access logs. - Health Checks and Automatic Recovery: The service periodically checks the health of running instances and automatically replaces any unhealthy ones. - Flexible Pricing: App Runner offers pay-as-you-go pricing, with charges based on compute and memory usage. Primary Value and Problem Solved: AWS App Runner addresses the challenge of deploying and managing containerized web applications and APIs without requiring deep infrastructure or container orchestration knowledge. By automating the complexities of infrastructure management, scaling, and deployment, App Runner enables developers to focus on writing code and developing features. This leads to faster time-to-market, improved developer productivity, and simplified application development processes.

Amazon Macie is a security service that uses machine learning to automatically discover, classify, and protect sensitive data in AWS. Amazon Macie recognizes sensitive data such as personally identifiable information (PII) or intellectual property, and provides you with dashboards and alerts that give visibility into how this data is being accessed or moved.



Amazon Web Services (AWS), a subsidiary of Amazon, is a leading cloud computing platform that provides a wide range of on-demand services such as computing power, data storage, databases, networking, and artificial intelligence tools. It enables businesses to build, deploy, and scale applications without investing in physical infrastructure, using a flexible pay-as-you-go pricing model. With a global network of data centers, AWS supports organizations of all sizes—from startups to large enterprises—by offering reliable, secure, and highly scalable solutions for modern digital operations.