Business Software for AWS App Mesh

Effortlessly gather, manage, and scrutinize video and data streams as they occur. Amazon Kinesis simplifies the process of collecting, processing, and analyzing streaming data in real-time, empowering you to gain insights promptly and respond swiftly to emerging information. It provides essential features that allow for cost-effective processing of streaming data at any scale while offering the adaptability to select the tools that best align with your application's needs. With Amazon Kinesis, you can capture real-time data like video, audio, application logs, website clickstreams, and IoT telemetry, facilitating machine learning, analytics, and various other applications. This service allows you to handle and analyze incoming data instantaneously, eliminating the need to wait for all data to be collected before starting the processing. Moreover, Amazon Kinesis allows for the ingestion, buffering, and real-time processing of streaming data, enabling you to extract insights in a matter of seconds or minutes, significantly reducing the time it takes compared to traditional methods. Overall, this capability revolutionizes how businesses can respond to data-driven opportunities as they arise.

Amazon Comprehend is an innovative natural language processing (NLP) tool that employs machine learning techniques to extract valuable insights and connections from text without requiring any prior machine learning knowledge. Your unstructured data holds a wealth of possibilities, with sources like customer emails, support tickets, product reviews, social media posts, and even advertising content offering critical insights into customer sentiments that can drive your business forward. The challenge lies in how to effectively tap into this rich resource. Fortunately, machine learning excels at pinpointing specific items of interest within extensive text datasets—such as identifying company names in analyst reports—and can also discern the underlying sentiments in language, whether that involves recognizing negative reviews or acknowledging positive interactions with customer service representatives, all at an impressive scale. By leveraging Amazon Comprehend, you can harness the power of machine learning to reveal the insights and relationships embedded within your unstructured data, empowering your organization to make more informed decisions.

Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.

AWS CodeDeploy is a comprehensive deployment service that streamlines the process of deploying software across various compute resources, including Amazon EC2, AWS Fargate, AWS Lambda, and your own on-premises servers. By facilitating rapid feature releases, AWS CodeDeploy helps maintain application uptime during deployments and simplifies the often complex task of updating applications. This service allows for the automation of software deployments, which reduces the risk associated with manual procedures. Additionally, it scales effortlessly to meet your deployment requirements. Being platform and language agnostic, AWS CodeDeploy ensures a consistent experience across different environments, whether you are deploying to Amazon EC2, AWS Fargate, or AWS Lambda, and you can conveniently repurpose your existing setup code as needed. Furthermore, CodeDeploy can seamlessly integrate with your current software release workflows or continuous delivery pipelines, such as AWS CodePipeline, GitHub, or Jenkins, thereby enhancing your overall deployment strategy and efficiency. In this way, AWS CodeDeploy not only simplifies the deployment process but also enhances the reliability and speed of software updates.

Amazon GameLift is a specialized hosting solution for game servers that facilitates the deployment, management, and scaling of cloud servers tailored for multiplayer gaming experiences. Whether you require a comprehensive managed service or only specific features, GameLift harnesses the capabilities of AWS to ensure optimal latency, reduced player wait times, and significant cost efficiency. Utilizing the extensive AWS global network, GameLift effectively handles game server management. It allows for the seamless matchmaking of players into game sessions while enabling the autoscaling of one, hundreds, or even thousands of instances simultaneously, all without the need for manual scaling adjustments in response to varying player demand. The platform provides essential multiplayer game functionalities, including matchmaking, session directories, player data management, and analytics. Additionally, with AWS, you can access services like AWS Lambda for serverless computing that is both scalable and adaptable, as well as features from Amazon GameLift FlexMatch to enhance your matchmaking processes. Overall, GameLift offers a comprehensive solution that caters to the complex needs of modern multiplayer gaming.

AWS WAF serves as a protective layer for your web applications and APIs, guarding against prevalent web vulnerabilities that could hinder performance, jeopardize security, or lead to resource overconsumption. The service empowers users to manage incoming traffic by allowing the formulation of security protocols that can thwart typical attack vectors like SQL injection and cross-site scripting, in addition to creating custom rules for specific traffic patterns. To facilitate quick implementation, AWS provides Managed Rules for AWS WAF, which consist of pre-set rules curated by AWS or third-party sellers from the AWS Marketplace. These Managed Rules specifically target the OWASP Top 10 security threats and are routinely updated to counter emerging risks. Moreover, AWS WAF comes equipped with a comprehensive API that facilitates the automation of rule creation, deployment, and upkeep. Notably, AWS WAF follows a pay-as-you-go pricing model, charging based on the number of active rules and the volume of web requests processed by your application. This flexible pricing structure allows businesses to scale their security solutions according to their unique needs.

AWS Storage Gateway is a hybrid cloud storage solution that allows on-premises users to tap into virtually limitless cloud storage options. It is utilized by clients to streamline storage management while also cutting costs across various hybrid cloud scenarios. Such scenarios encompass transferring tape backups to the cloud, minimizing local storage by leveraging cloud-based file shares, and offering quick access to AWS data for on-site applications, in addition to serving numerous migration, archiving, processing, and disaster recovery needs. To facilitate these functions, the service offers three distinct gateway types: Tape Gateway, File Gateway, and Volume Gateway, which all provide a smooth connection between local applications and cloud storage while caching data locally to ensure rapid access. Applications interact with the service via either a virtual machine or a dedicated hardware gateway appliance, utilizing standard storage protocols like NFS, SMB, and iSCSI. This versatility enables businesses to adapt their storage solutions to meet varying needs and optimize performance.

AWS Device Farm is a service designed for application testing that enhances the quality of both web and mobile applications by allowing users to conduct tests across a wide variety of desktop browsers and actual mobile devices, all without the need to set up or manage any testing infrastructure. This service permits concurrent execution of tests on numerous desktop browsers or physical devices, thereby accelerating the overall testing process, and it produces videos and logs that facilitate the quick identification of any issues within your application. You can evaluate your app in parallel on a vast array of real devices hosted in the AWS Cloud, utilizing one of the built-in frameworks for testing without the necessity to create or maintain test scripts, or you can opt for a supported automation testing framework. Engage with devices in real time through gestures, swipes, and interactions directly from your web browser, and seamlessly run your Selenium tests concurrently across various versions of Chrome, Internet Explorer, and Firefox available in the AWS Cloud, ensuring comprehensive coverage and efficient testing practices. With AWS Device Farm, you can significantly streamline your testing workflow while ensuring your applications meet high-quality standards.

Manage and view your security alerts from a central location while automating security assessments. AWS Security Hub provides an all-encompassing perspective on your security alerts and overall security standing across various AWS accounts. You have access to a variety of robust security tools, including firewalls, endpoint protection solutions, and scanners for vulnerabilities and compliance. This often results in your team navigating between multiple tools to address the numerous security alerts that can reach into the hundreds or even thousands each day. With Security Hub, you have a unified platform that collects, categorizes, and prioritizes your security findings from numerous AWS services like Amazon GuardDuty, Amazon Inspector, Amazon Macie, AWS Identity and Access Management (IAM) Access Analyzer, and AWS Firewall Manager, in addition to offerings from AWS Partner solutions. AWS Security Hub also ensures your environment is under constant surveillance by executing automated security checks based on established AWS best practices and recognized industry standards. This streamlined approach not only enhances efficiency but also significantly improves your overall security management.

AWS Certificate Manager is a service designed to simplify the provisioning, management, and deployment of both public and private Secure Sockets Layer/Transport Layer Security (SSL/TLS) certificates for various AWS services and your internal connected systems. These SSL/TLS certificates play a critical role in securing network communications and verifying the identity of websites on the Internet, as well as resources within private networks. By using AWS Certificate Manager, you can eliminate the cumbersome manual tasks associated with purchasing, uploading, and renewing SSL/TLS certificates. As industry-standard protocols, SSL and its successor TLS are essential for encrypting data transmitted over networks and validating the identity of websites online. Additionally, SSL/TLS ensures that sensitive information remains encrypted during transit and provides authentication through the use of SSL/TLS certificates, which help establish a secure connection between browsers, applications, and your site. This service not only enhances security but also streamlines the certificate management process, allowing you to focus on your core business activities.

AWS IoT Core enables seamless connectivity between IoT devices and the AWS cloud, eliminating the need for server provisioning or management. Capable of accommodating billions of devices and handling trillions of messages, it ensures reliable and secure processing and routing of communications to AWS endpoints and other devices. This service empowers applications to continuously monitor and interact with all connected devices, maintaining functionality even during offline periods. Furthermore, AWS IoT Core simplifies the integration of various AWS and Amazon services, such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, facilitating the development of IoT applications that collect, process, analyze, and respond to data from connected devices without the burden of infrastructure management. By utilizing AWS IoT Core, you can effortlessly connect an unlimited number of devices to the cloud and facilitate communication among them, streamlining your IoT solutions. This capability significantly enhances the efficiency and scalability of your IoT initiatives.

Organizations must strategize and establish clear expectations regarding their cloud expenditures. Yet, the inherent flexibility of cloud services necessitates a revision of forecasting methods and tools to keep pace with the ever-changing usage patterns. It is crucial to implement tailored budgets and continuously monitor your cost and usage metrics to quickly react when they surpass set limits. AWS Budgets provides the capability to create customized budgets that can accommodate a range of scenarios, from straightforward to intricate. With this tool, you can receive notifications via email or SNS when either actual or projected costs and usage exceed your defined budgetary limits, or if the utilization or coverage of your Reserved Instances and Savings Plans falls below acceptable levels. You have the flexibility to establish budgets that align with your operational requirements, whether on an annual, quarterly, monthly, or even daily basis, ensuring that you maintain control over your financial resources. By actively managing these budgets, businesses can optimize their cloud spending and enhance overall financial performance.

AWS Cost Explorer offers a user-friendly platform that enables you to visualize, comprehend, and oversee your AWS expenditures and usage over time. You can quickly initiate the process by generating tailored reports that scrutinize your cost and usage information. Whether you want to examine your data from a broad perspective—such as the overall expenses and usage across all accounts—or delve into the specifics to uncover trends, identify cost contributors, and spot irregularities, the tool provides flexible options. It includes a variety of default reports designed to help you swiftly understand your cost determinants and usage patterns. You have the option to set a specific time frame and choose between viewing your data on a monthly or daily basis for greater detail. Furthermore, you can enhance your analysis by utilizing filtering and grouping capabilities across diverse dimensions. Additionally, the forecasting feature allows you to project future costs and usage, enabling more effective planning for your AWS budget. By leveraging these tools, users can ensure that they remain informed and proactive in managing their cloud expenses.

Amazon Elastic Block Store (EBS) is a high-performance and user-friendly block storage service intended for use alongside Amazon Elastic Compute Cloud (EC2), catering to both throughput and transaction-heavy workloads of any size. It supports a diverse array of applications, including both relational and non-relational databases, enterprise software, containerized solutions, big data analytics, file systems, and media processing tasks. Users can select from six distinct volume types to achieve the best balance between cost and performance. With EBS, you can attain single-digit-millisecond latency for demanding database applications like SAP HANA, or achieve gigabyte-per-second throughput for large, sequential tasks such as Hadoop. Additionally, you have the flexibility to change volume types, optimize performance, or expand volume size without interrupting your essential applications, ensuring you have economical storage solutions precisely when you need them. This adaptability allows businesses to respond quickly to changing demands while maintaining operational efficiency.

Given that numerous IoT implementations involve vast numbers of devices, often ranging from hundreds of thousands to millions, it becomes crucial to effectively track, oversee, and manage these connected device networks. Ensuring the performance and security of your IoT devices post-deployment is vital. In addition, it is necessary to safeguard access to these devices, keep an eye on their health, identify and resolve issues remotely, and handle software and firmware upgrades. AWS IoT Device Management simplifies the process of securely registering, organizing, monitoring, and managing your IoT devices on a large scale. With this service, you can register your devices one by one or in bulk, and efficiently manage their permissions to maintain security. Furthermore, it allows you to categorize your devices, monitor their performance, troubleshoot any issues, check the status of devices in your network, and send over-the-air (OTA) firmware updates—all via a user-friendly, fully managed web application. This comprehensive management solution ensures that your IoT ecosystem remains robust and efficient, reducing the potential for downtime and enhancing overall operational effectiveness.

Amazon Personalize allows developers to create applications utilizing the same machine learning (ML) technology that powers real-time personalized recommendations on Amazon.com, all without requiring any prior ML knowledge. This service simplifies the development of applications that can provide a variety of personalized experiences, such as tailored product suggestions, reordering of product listings based on user preferences, and individualized marketing campaigns. As a fully managed ML service, Amazon Personalize surpasses traditional static recommendation systems by training, tuning, and deploying custom ML models that offer highly tailored recommendations for various sectors, including retail and media. The platform takes care of all necessary infrastructure, managing the complete ML pipeline, which encompasses data processing, feature identification, selection of optimal algorithms, and the training, optimization, and hosting of the models. By streamlining these processes, Amazon Personalize empowers businesses to enhance user engagement and drive conversions through advanced personalization techniques. This innovative approach allows companies to leverage cutting-edge technology to stay competitive in today's fast-paced market.

Amazon Virtual Private Cloud (Amazon VPC) is a service that enables users to deploy AWS resources within a virtual network that they can configure to be logically isolated. This service offers users total authority over their networking environment, allowing them to select their own IP address range, establish subnets, and set up route tables and network gateways. Users can utilize both IPv4 and IPv6 for various resources within their virtual private cloud, which aids in providing secure and efficient access to applications and resources. As a core component of AWS, Amazon VPC simplifies the process of tailoring your network configuration to meet specific needs. You can design a public subnet for your web servers that require internet access while also enabling the placement of backend systems like databases or application servers in a private subnet that does not connect to the internet. Additionally, this flexibility allows organizations to enhance their security posture while optimizing resource management.

This service seamlessly integrates cutting-edge video and audio functionalities with an intuitive web services interface and flexible pay-as-you-go pricing. By utilizing AWS Elemental MediaConvert, users can concentrate on creating engaging media experiences without the burden of developing and managing their own video processing systems. The platform supports a diverse array of internet and professional media formats, enabling the production of top-notch video outputs that are visually appealing across various devices. With capabilities for ultra-high definition resolutions, high dynamic range video, graphic overlays, advanced audio features, content protection, and closed captioning, AWS Elemental MediaConvert provides a comprehensive suite of tools for delivering premium viewing experiences. Notably, the service eliminates the need for any setup, management, or upkeep of the underlying infrastructure. Users can easily process video files and clips to efficiently prepare content for on-demand distribution or long-term archiving, making it a highly versatile solution for media professionals. This adaptability makes AWS Elemental MediaConvert an invaluable asset for anyone looking to enhance their media delivery capabilities.

Microservice practitioners on the ground soon discover that most operational issues encountered during the transition to a distributed architecture primarily stem from two key factors: networking and observability. The challenge of networking and troubleshooting a complex array of interconnected distributed services is significantly more daunting than doing so for a singular monolithic application. Envoy acts as a high-performance, self-contained server that boasts a minimal memory footprint and can seamlessly operate alongside any programming language or framework. It offers sophisticated load balancing capabilities, such as automatic retries, circuit breaking, global rate limiting, and request shadowing, in addition to zone local load balancing. Furthermore, Envoy supplies comprehensive APIs that facilitate dynamic management of its configurations, enabling users to adapt to changing needs. This flexibility and power make Envoy an invaluable asset for any microservices architecture.

Effortlessly store, share, and deploy your containerized software wherever needed. You can push container images to Amazon ECR without the necessity of installing or managing infrastructure, while also retrieving images using any preferred management tool. Securely share and download images via Hypertext Transfer Protocol Secure (HTTPS), featuring built-in encryption and access controls. Enhance the speed of accessing and distributing your images, minimize download times, and boost availability with a robust and scalable architecture. Amazon ECR serves as a fully managed container registry that provides high-performance hosting, enabling you to reliably deploy application images and artifacts across various platforms. Additionally, ensure that your organization's image compliance security needs are met through insights derived from common vulnerabilities and exposures (CVEs) alongside the Common Vulnerability Scoring System (CVSS). Easily publish containerized applications with a single command and seamlessly integrate them into your self-managed environments for a more efficient workflow. This streamlined process enhances both collaboration and productivity across teams.

AWS Lake Formation is a service designed to streamline the creation of a secure data lake in just a matter of days. A data lake serves as a centralized, carefully organized, and protected repository that accommodates all data, maintaining both its raw and processed formats for analytical purposes. By utilizing a data lake, organizations can eliminate data silos and integrate various analytical approaches, leading to deeper insights and more informed business choices. However, the traditional process of establishing and maintaining data lakes is often burdened with labor-intensive, complex, and time-consuming tasks. This includes activities such as importing data from various sources, overseeing data flows, configuring partitions, enabling encryption and managing encryption keys, defining and monitoring transformation jobs, reorganizing data into a columnar structure, removing duplicate records, and linking related entries. After data is successfully loaded into the data lake, it is essential to implement precise access controls for datasets and continuously monitor access across a broad spectrum of analytics and machine learning tools and services. The comprehensive management of these tasks can significantly enhance the overall efficiency and security of data handling within an organization.

Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.

UnityOneCloud is a comprehensive SaaS platform for multicloud management that specializes in overseeing hybrid cloud setups, encompassing data center cabinets, power distribution units (PDUs), bare-metal servers, networking equipment, containers, mesh services, and serverless architectures across both private clouds like VMware, Hyper-V, and OpenStack, as well as public clouds such as AWS, GCP, and Azure. This platform offers a range of integrated features for monitoring, visualization, management, auditing, and automating DevOps processes, thereby delivering a smooth user experience while handling hybrid cloud infrastructures. What sets UnityOneCloud apart is its capability to seamlessly manage both traditional data centers and cloud environments, a critical aspect for businesses transitioning to cloud-first strategies or modernizing their IT frameworks. Additionally, it provides observability of multi-cloud mesh services through its integrations with technologies such as Istio, AWS App Mesh, and Google Anthos, facilitating cohesive management of intricate hybrid IT setups. The platform also ensures security compliance and operational efficiency, making it an essential tool for organizations aiming to optimize their multicloud environments.

Amazon DocumentDB, which is compatible with MongoDB, offers a rapid, scalable, highly reliable, and fully managed solution for document database needs, specifically catering to MongoDB workloads. This service simplifies the storage, querying, and indexing of JSON data, making it an ideal choice for developers. Built from the ground up as a non-relational database, Amazon DocumentDB ensures the performance, scalability, and availability crucial for handling mission-critical MongoDB workloads on a large scale. One of its key features is the separation of storage and compute, which allows each component to scale independently. Users can enhance read capacity to millions of requests per second in a matter of minutes by adding up to 15 low-latency read replicas, irrespective of data volume. Additionally, Amazon DocumentDB is engineered for 99.99% availability, maintaining six copies of data across three different AWS Availability Zones (AZs) to ensure redundancy and reliability. This architecture not only enhances data safety but also significantly improves the overall performance of applications that rely on it.

Dependable, secure, and adaptable transport solutions for live video are essential. File-based video assets can be prepared for on-demand broadcasting and multiscreen distribution. Inputs can be seamlessly transformed into live outputs for both broadcasting and multiscreen video delivery. Live and on-demand video content can be originated and packaged efficiently. Video assets can be stored and utilized for various media workflows, whether live or on-demand. With server-side ad insertion, personalized and monetized multiscreen video content can be created. By managing video networks, both live and on-demand content can be delivered effectively. A live video source can be connected to AWS Elemental MediaLive for enhanced functionality. The cloud offers purpose-built capabilities designed to assist customers in transforming content production, media supply chains, broadcasting, direct-to-consumer models, streaming, and analytics. Customers are successfully reinventing the media and entertainment landscape through innovative solutions provided by AWS, paving the way for a new era of digital experiences. This transformation is marked by an increasing demand for tailored content delivery to meet diverse audience needs.