Business Software for AWS App Mesh

Amazon WorkSpaces is a secure and managed Desktop-as-a-Service (DaaS) offering that allows users to quickly set up either Windows or Linux desktops within minutes, enabling rapid scalability to provide thousands of desktops for employees around the world. This service operates on a flexible payment model, allowing users to choose between monthly or hourly rates for the WorkSpaces they deploy, leading to cost savings when compared to conventional desktop setups and on-premises Virtual Desktop Infrastructure (VDI) options. By utilizing Amazon WorkSpaces, organizations can remove the challenges associated with managing hardware, operating system versions, patches, and VDI, thereby streamlining their desktop delivery strategies. Users benefit from a fast and responsive desktop experience that is accessible from any location, at any time, and on various supported devices. Moreover, Amazon WorkSpaces empowers contact center agents to operate from any location, ensuring they have a secure and user-friendly interface for their work. This flexibility not only enhances productivity but also contributes to a more adaptable workforce.

Amazon CloudFront is a rapid content delivery network (CDN) service that efficiently distributes data, videos, applications, and APIs to users worldwide with minimal latency and high transfer speeds, all within a user-friendly framework for developers. This CDN is closely integrated with AWS, utilizing both physical sites connected to the AWS global infrastructure and various other AWS services. It operates in harmony with offerings like AWS Shield for DDoS protection, Amazon S3, Elastic Load Balancing, or Amazon EC2 as the source for your applications, and Lambda@Edge, which allows you to execute custom code nearer to the end-users to enhance their experience. Notably, if AWS origins like Amazon S3, Amazon EC2, or Elastic Load Balancing are utilized, there are no charges for data transferred between these services and CloudFront. Moreover, you can tailor the code executed at the CDN edge using serverless computing capabilities, ensuring an optimal blend of cost efficiency, performance, and security while delivering content. This flexibility makes CloudFront an excellent choice for developers aiming to create a responsive and secure content delivery experience.

Enhance your application development process with scalable GraphQL APIs. Many organizations opt for GraphQL to expedite their application creation, as it empowers front-end developers to efficiently query various databases, microservices, and APIs through a single GraphQL endpoint. AWS AppSync serves as a fully managed solution that simplifies the development of GraphQL APIs by taking care of the complex task of securely connecting to data sources such as AWS DynamoDB and Lambda. It also allows for easy integration of caching mechanisms to boost performance, real-time subscriptions for instant updates, and client-side data stores to ensure offline clients remain synchronized. Once your API is live, AWS AppSync will automatically adjust the capacity of your GraphQL API execution engine based on incoming request volumes, ensuring optimal performance. Moreover, AWS AppSync provides comprehensive management of both GraphQL APIs and Pub/Sub API setups, along with features like auto-scaling and high availability. The platform also offers built-in capabilities for securing, monitoring, logging, and tracing your API with services like AWS WAF, CloudWatch, and X-Ray, making it a robust choice for developers. This integrated approach not only streamlines development but also enhances overall application reliability and responsiveness.

AWS Outposts is a comprehensive managed service that extends the capabilities of AWS infrastructure, services, APIs, and tools to nearly any data center, co-location site, or on-premises environment, ensuring a seamless hybrid cloud experience. It excels for workloads that necessitate low-latency connectivity to local systems, on-site data processing, data residency compliance, and the migration of applications with dependencies on local resources. With AWS compute, storage, database, and additional services operating locally on Outposts, users can utilize the complete suite of AWS offerings available in their specified Region to develop, oversee, and scale their on-premises applications with the familiar AWS ecosystem. Additionally, there is an upcoming VMware variant of AWS Outposts, which will provide a fully managed VMware Software-Defined Data Center (SDDC) operating on the AWS Outposts infrastructure in customer environments. This enhancement aims to further integrate VMware’s capabilities with AWS, allowing organizations to leverage both platforms efficiently.

Amazon Simple Email Service (SES) offers an economical, adaptable, and scalable solution for sending emails from various applications. It allows quick configuration to cater to multiple email scenarios, such as transactional messages, marketing campaigns, or large-scale communications. The service enhances deliverability and safeguards sender reputation through its flexible IP deployment and email authentication features, while sending analytics provide insight into email performance. With Amazon SES, users can securely send emails on a global scale and handle large volumes effortlessly. Whether utilizing the Amazon SES console, APIs, or SMTP, you can set up email dispatch in just a matter of minutes. Additionally, Amazon SES enables email reception, facilitating effective customer engagement on a large scale. Importantly, you only incur costs based on your actual usage of the service, making it a budget-friendly option for businesses of any size. Furthermore, this service is designed to meet the evolving needs of developers and marketers alike, ensuring they can communicate effectively with their audiences.

Amazon Redshift is the preferred choice among customers for cloud data warehousing, outpacing all competitors in popularity. It supports analytical tasks for a diverse range of organizations, from Fortune 500 companies to emerging startups, facilitating their evolution into large-scale enterprises, as evidenced by Lyft's growth. No other data warehouse simplifies the process of extracting insights from extensive datasets as effectively as Redshift. Users can perform queries on vast amounts of structured and semi-structured data across their operational databases, data lakes, and the data warehouse using standard SQL queries. Moreover, Redshift allows for the seamless saving of query results back to S3 data lakes in open formats like Apache Parquet, enabling further analysis through various analytics services, including Amazon EMR, Amazon Athena, and Amazon SageMaker. Recognized as the fastest cloud data warehouse globally, Redshift continues to enhance its performance year after year. For workloads that demand high performance, the new RA3 instances provide up to three times the performance compared to any other cloud data warehouse available today, ensuring businesses can operate at peak efficiency. This combination of speed and user-friendly features makes Redshift a compelling choice for organizations of all sizes.

AWS Step Functions serves as a serverless orchestrator, simplifying the process of arranging AWS Lambda functions alongside various AWS services to develop essential business applications. It features a visual interface that allows users to design and execute a series of event-driven workflows with checkpoints, ensuring that the application state is preserved throughout. The subsequent step in the workflow utilizes the output from the previous one, creating a seamless flow dictated by the specified business logic. As each component of your application is executed in the designated order, the orchestration of distinct serverless applications can present challenges, especially with tasks like managing retries and troubleshooting issues. The increasing complexity of distributed applications demands effective management strategies, which can be daunting. However, Step Functions alleviates much of this operational strain through integrated controls that handle sequencing, error management, retry mechanisms, and state maintenance. This functionality allows teams to focus more on innovation rather than the intricacies of application management. Ultimately, AWS Step Functions empowers users to translate business needs into technical solutions rapidly by providing intuitive visual workflows for streamlined development.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

Amazon Lightsail is equipped with numerous features aimed at swiftly bringing your project to fruition. As a comprehensive cloud platform, Lightsail serves as a centralized solution for all your cloud-related requirements. Explore how we can assist you in initiating your journey on the AWS infrastructure. With Lightsail, you have access to virtual servers (instances) that are not only simple to set up but also supported by the robust and dependable AWS backbone. You can get your website, web application, or project up and running in mere minutes, while managing your instance effortlessly through the user-friendly Lightsail console or API. During the instance creation process, Lightsail allows you to easily choose to launch a basic operating system (OS), a pre-configured application, or a development stack, such as WordPress, Windows, Plesk, LAMP, Nginx, among others. Each Lightsail instance is equipped with an integrated firewall that enables you to control traffic flow to your instances based on source IP address, port, and protocol, ensuring enhanced security for your projects. By utilizing Lightsail, you can focus more on innovation and less on infrastructure management.

Amazon WorkMail is a secure, managed email and calendar solution designed for businesses, offering compatibility with various desktop and mobile email clients. Users can effortlessly access their emails, contacts, and calendars via their preferred applications, including Microsoft Outlook, native email apps for iOS and Android, any IMAP-compatible client, or through a web interface. Additionally, Amazon WorkMail can be integrated with existing corporate directories, allows for email journaling to fulfill compliance obligations, and provides control over data encryption keys and storage locations. The service also supports interoperability with Microsoft Exchange Server and enables programmatic management of users, groups, and resources through the Amazon WorkMail SDK. With straightforward pricing set at $4 per user monthly, each account includes a generous 50GB of storage, making it an economical choice for businesses of all sizes. This combination of features ensures that organizations can maintain secure communication while leveraging their existing infrastructure.

Amazon Route 53 is a robust and scalable cloud-based Domain Name System (DNS) service that offers high availability. It is crafted to provide developers and businesses with a dependable and economical means of directing end users to web applications by converting user-friendly names into the numerical IP addresses, such as 192.0.2.1, that computers utilize for communication. Moreover, Amazon Route 53 is fully compatible with IPv6. It efficiently links user requests to resources hosted within AWS, including Amazon EC2 instances, Elastic Load Balancing services, and Amazon S3 storage, while also having the capability to direct users to external infrastructure outside of AWS. Additionally, users can implement DNS health checks with Amazon Route 53, enabling the continuous monitoring of application resilience and facilitating recovery management through the Route 53 Application Recovery Controller. Furthermore, Amazon Route 53 Traffic Flow simplifies the global management of traffic with multiple routing options available, enhancing the overall user experience and ensuring optimal performance across various locations. This versatility makes Route 53 an essential tool for modern web application management and reliable service delivery.

AWS Data Pipeline is a robust web service designed to facilitate the reliable processing and movement of data across various AWS compute and storage services, as well as from on-premises data sources, according to defined schedules. This service enables you to consistently access data in its storage location, perform large-scale transformations and processing, and seamlessly transfer the outcomes to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. With AWS Data Pipeline, you can effortlessly construct intricate data processing workflows that are resilient, repeatable, and highly available. You can rest assured knowing that you do not need to manage resource availability, address inter-task dependencies, handle transient failures or timeouts during individual tasks, or set up a failure notification system. Additionally, AWS Data Pipeline provides the capability to access and process data that was previously confined within on-premises data silos, expanding your data processing possibilities significantly. This service ultimately streamlines the data management process and enhances operational efficiency across your organization.

AWS IoT Device Defender is a comprehensive service designed to safeguard your collection of IoT devices. This service actively conducts audits of your IoT configurations to ensure compliance with established security best practices. A configuration comprises various technical measures implemented to secure data exchanges between devices and the cloud. With AWS IoT Device Defender, it becomes straightforward to uphold and implement necessary IoT configurations, which include verifying device identity, performing authentication and authorization, and encrypting the data transmitted by devices. Moreover, it systematically evaluates your device configurations against a set of established security guidelines. If any discrepancies that could pose a security threat arise, such as the improper sharing of identity certificates among devices or attempts to connect with a revoked identity certificate, AWS IoT Device Defender promptly issues an alert. This proactive approach not only enhances security but also streamlines the management of IoT devices across your network.

Amazon Transcribe simplifies the integration of speech-to-text features for developers looking to enhance their applications. Analyzing and searching audio data presents significant challenges for computers, making it essential to convert spoken words into written format for effective usage in various applications. Traditionally, businesses had to collaborate with transcription services that imposed costly contracts and were complicated to integrate with existing technology, making the transcription process cumbersome. Moreover, many of these services relied on outdated technologies that struggled to handle specific situations, such as the low-quality audio typical in contact center environments, leading to decreased accuracy. In contrast, Amazon Transcribe utilizes an advanced deep learning technique known as automatic speech recognition (ASR) to convert speech into text efficiently and with high precision. This service is versatile, allowing for the transcription of customer service interactions, the automation of subtitling, and the creation of metadata for media files, ultimately resulting in a comprehensive and searchable archive of content. With its user-friendly design and robust capabilities, Amazon Transcribe stands out as an essential tool for developers aiming to enhance the functionality of their applications.

AWS Secrets Manager is designed to safeguard the secrets necessary for accessing your applications, services, and IT resources. This service simplifies the processes of rotating, managing, and retrieving database credentials, API keys, and other sensitive information throughout their entire lifecycle. Through calls to the Secrets Manager APIs, users and applications can access secrets, which prevents the necessity of embedding sensitive data in plain text. Moreover, Secrets Manager features secret rotation with native integration for services like Amazon RDS, Amazon Redshift, and Amazon DocumentDB. The extensibility of the service also allows for the management of various other types of secrets, such as API keys and OAuth tokens. Additionally, it provides fine-grained permissions to control access to these secrets and facilitates centralized auditing of secret rotation across AWS Cloud resources, third-party services, and on-premises systems. By enabling safe rotation of secrets without requiring code deployments, AWS Secrets Manager effectively helps organizations fulfill their security and compliance mandates. Overall, this service enhances the management of sensitive information, making it an essential tool for modern application security.

AWS Directory Service for Microsoft Active Directory, commonly referred to as AWS Managed Microsoft Active Directory (AD), allows your directory-capable applications and AWS services to seamlessly utilize a managed version of Active Directory within AWS. This service is based on genuine Microsoft AD technology and eliminates the need for data synchronization or replication from your on-premises Active Directory to the cloud. Users can leverage standard Active Directory administrative tools and utilize inherent features like Group Policy and single sign-on. With AWS Managed Microsoft AD, integrating Amazon EC2 and Amazon RDS for SQL Server instances into your domain becomes straightforward, along with the ability to utilize AWS End User Computing (EUC) offerings such as Amazon WorkSpaces for AD users and groups. This service facilitates the migration of applications dependent on Active Directory and Windows-based workloads to the AWS environment. Additionally, AWS Managed Microsoft AD enables the application of Group Policies for managing EC2 instances while effectively supporting AD-dependent applications hosted in the AWS Cloud. Ultimately, this solution simplifies enterprise operations by providing a robust and scalable directory service in the cloud.

Waste & Recycling One is software designed to integrate, automate, and simplify to drive greater operational efficiency, productivity, and profitability. WR1 is designed for organisations that operate in the waste, recycling, clean energy, and environmental sector - creating clean, efficient operations that contribute positively to the environment and circular economy by utilising best in class technology. Waste & Recycling One is designed specifically for the user and their interaction with business processes that they are responsible for. User experience is aided by the most advanced software technologies used in WR1’s architecture.

SureCloud is a leading provider of cloud based, integrated GRC (Governance, Risk & Compliance) products and cybersecurity services. SureCloud’s Aurora platform helps organizations effectively manage information security risks and gain complete visibility of their operations. The highly innovative platform provides powerful insights to help your organization stay ahead of threat actors and constantly evolving compliance standards. With Aurora’s out-of-the-box automation capabilities, transform your efficiency and dramatically reduce your operating costs.

Amazon QuickSight empowers individuals within organizations to gain insights from their data by posing questions in everyday language, navigating through dynamic dashboards, or utilizing machine learning to identify trends and anomalies. It facilitates millions of dashboard interactions each week for notable clients such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western, and Comcast, enabling their users to make informed, data-driven choices. By engaging in conversational inquiries about your data, you can utilize Q's machine learning capabilities to generate pertinent visualizations without the need for extensive data preparation by authors and administrators. This platform also enables the discovery of concealed insights, accurate forecasting, and scenario analysis, while providing the option to enrich dashboards with clear, natural language narratives, all made possible by AWS's machine learning expertise. Additionally, users can seamlessly incorporate interactive visualizations, advanced dashboard design features, and natural language querying capabilities into their applications, streamlining the process of data analysis across various platforms. Thus, QuickSight not only enhances the way organizations interact with their data but also simplifies the journey of transforming raw information into actionable insights.

Amazon Neptune is an efficient and dependable graph database service that is fully managed, facilitating the development and operation of applications that handle intricate, interconnected datasets. At its heart, Amazon Neptune features a specialized, high-performance database engine tailored for the storage of billions of relationships while enabling rapid querying with latency measured in milliseconds. It accommodates widely-used graph models, including Property Graph and W3C's RDF, along with their associated query languages, Apache TinkerPop Gremlin and SPARQL, which simplifies the process of crafting queries for navigating complex datasets. This service supports various graph-based applications, including recommendation systems, fraud detection mechanisms, knowledge graphs, drug discovery initiatives, and enhanced network security protocols. With a proactive approach, it enables the detection and analysis of IT infrastructure threats through a multi-layered security framework. Furthermore, it allows users to visualize their entire infrastructure to effectively plan, forecast, and address potential risks, while also enabling the creation of graph queries for the near-real-time identification of fraudulent patterns in financial and purchasing activities, thereby enhancing overall security and efficiency.

AWS Config is a service that allows for the assessment, auditing, and evaluation of the configurations of AWS resources. By continuously monitoring and documenting these configurations, Config facilitates the automation of evaluating recorded settings against desired benchmarks. Users can examine changes in configurations and the interrelationships between AWS resources, explore comprehensive histories of resource configurations, and assess compliance with their internal standards. This functionality streamlines processes related to compliance auditing, security evaluations, change management, and operational issue resolution. Furthermore, AWS Config serves as a key resource for conducting configuration audits and compliance checks for both AWS and external resources. Additionally, it allows for the integration and publication of configurations from third-party resources, including GitHub repositories, Microsoft Active Directory, or any on-premises servers, thereby enhancing the breadth of compliance oversight. Overall, the versatility and capabilities of AWS Config make it an essential tool for managing resource configurations effectively.

Amazon Simple Queue Service (SQS) is a fully managed message queuing platform designed to help you decouple and scale microservices, distributed systems, and serverless applications. By removing the complexity and overhead typically associated with message-oriented middleware, SQS allows developers to concentrate on more impactful tasks. With SQS, you can effortlessly send, store, and receive messages between various software components at any scale, ensuring message integrity and independence from other services. You can quickly begin using SQS in just minutes through the AWS console, Command Line Interface, or your preferred SDK, executing three straightforward commands. This service enables the transmission of any data volume at any throughput level while maintaining message reliability and service independence. Additionally, SQS facilitates the decoupling of application components, which allows them to operate and fail independently, ultimately enhancing the fault tolerance of the overall system. By leveraging SQS, organizations can achieve greater resilience and adaptability in their application architecture.

Amazon S3 Glacier and S3 Glacier Deep Archive offer secure, reliable, and remarkably affordable cloud storage solutions within Amazon S3 specifically tailored for archiving data and long-term backups. These storage classes are engineered to achieve an impressive durability rate of 99.999999999% and come equipped with extensive security and compliance features that assist in fulfilling even the most demanding regulatory standards. Users can take advantage of pricing as low as $1 per terabyte each month, which presents a considerable cost reduction compared to traditional on-premises storage solutions. To accommodate diverse retrieval requirements without compromising affordability, Amazon S3 Glacier includes three distinct access options that range from mere minutes to several hours, while S3 Glacier Deep Archive offers two access choices with timelines spanning from 12 to 48 hours. Additionally, the S3 Glacier storage classes boast advanced compatibility with AWS CloudTrail, enabling the logging, monitoring, and retention of storage API call activities for effective auditing. Furthermore, they also feature three different encryption methods to enhance data security. Overall, these storage classes provide an efficient and scalable solution for businesses looking to streamline their data management processes.

Amazon Lex is a service designed for creating conversational interfaces in various applications through both voice and text input. It incorporates advanced deep learning technologies, such as automatic speech recognition (ASR) for transforming spoken words into text, along with natural language understanding (NLU) that discerns the intended meaning behind the text, facilitating the development of applications that offer immersive user experiences and realistic conversational exchanges. By utilizing the same deep learning capabilities that power Amazon Alexa, Amazon Lex empowers developers to efficiently craft complex, natural language-based chatbots. With its capabilities, you can design bots that enhance productivity in contact centers, streamline straightforward tasks, and promote operational efficiency throughout the organization. Furthermore, as a fully managed service, Amazon Lex automatically scales to meet demand, freeing you from the complexities of infrastructure management and allowing you to focus on innovation. This seamless integration of capabilities makes Amazon Lex an attractive option for developers looking to enhance user interaction.

Amazon Polly is a service designed to convert written text into realistic speech, enabling the development of applications that can communicate vocally and fostering the creation of innovative speech-enabled products. Utilizing state-of-the-art deep learning technologies, Polly's Text-to-Speech (TTS) service produces natural-sounding human voices. With a variety of lifelike voices available in numerous languages, developers can create speech-enabled applications that are functional in diverse global markets. Beyond the Standard TTS voices, Amazon Polly also provides Neural Text-to-Speech (NTTS) voices, which enhance speech quality significantly through a novel machine learning technique. In addition, Polly's Neural TTS supports two distinct speaking styles: a Newscaster style designed for news narration and a Conversational style that is perfect for interactive communication scenarios such as telephony. This flexibility allows developers to tailor the auditory experience to fit their specific application needs.