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In today’s landscape, the need for organizations to embrace solutions that measure and enhance sustainability has never been more urgent. Achieving Sustainable Development Goals (SDGs) necessitates a comprehensive and informed strategy for assessing, testing, and researching real-world applications. Companies invest significant resources in discovering and collecting quality data streams from diverse sources—ranging from IoT devices to web and mobile applications, as well as third-party or on-premises systems. However, merely identifying and analyzing consumption patterns of energy, water, or gas within homes or buildings often falls short, especially when sustainability objectives must align with return on investment (ROI) expectations.
In this article, you’ll discover how Storm Reply, leveraging expertise in the energy and utilities sector alongside proficiency in developing data analytics platforms on Amazon Web Services (AWS), can assist organizations in the design, development, and upkeep of secure serverless IoT big data platforms. These platforms focus on identifying new sustainable business models. The Internet of Things (IoT) presents businesses with an exceptional opportunity to achieve, measure, and advocate for SDGs, serving as a critical facilitator for successful Industry 4.0 initiatives. By aligning business objectives with services like AWS IoT Core and the AWS Analytics Suite, organizations can unlock transformative business models that generate value for service providers, end consumers, and other stakeholders.
Storm Reply is proud to be an AWS Premier Tier Services Partner with a specialization in IoT.
Serverless Analytics Architecture
The architecture of big data platforms is designed following best practices from AWS and Storm Reply, emphasizing standardization. At its core, a big data platform revolves around an AWS Data Pipeline, which outlines a series of processing steps. Initially, data is ingested into the pipeline, where each output from one step serves as input for the next, continuing until all pipeline stages are completed.
The structure proposed for developing these platforms adheres to AWS’s data pipeline principles. Given the varied nature of data sources—such as real-time, event-driven, or batch ingestion—the platform architecture is crafted to adapt different data pipelines based on specific sources or use cases.
In the realm of IoT, Storm Reply implements a serverless data analytics reference architecture for contemporary, secure, and scalable IoT analytics platforms. This setup incorporates ingestion, enrichment, and processing pipelines, alongside a data lake and a consumption layer for visualization and analysis. The architecture facilitates real-time analytics through Amazon Kinesis Data Analytics and Amazon QuickSight. Data streams can seamlessly flow into Amazon Simple Storage Service (Amazon S3) buckets for subsequent processing via AWS Glue, while other pipelines might utilize event-driven or batch processing with Amazon Kinesis Data Firehose. Additionally, data enrichment can be performed using machine learning inference models deployed in AWS Lambda, which are developed and trained with Amazon SageMaker.
Key layers, including security and monitoring, are constructed using specialized services such as AWS Lake Formation, AWS Key Management Service (AWS KMS), Amazon CloudWatch, Amazon EventBridge, and AWS Identity and Access Management (IAM). The integration of these services is crucial for ensuring robust data governance and security, laying the groundwork for an extensible and future-ready platform.
CI/CD Automation
Following best practices, Storm Reply adopts a DevOps methodology for the development, maintenance, and expansion of platform code. CI/CD pipelines are integrated for swift update-and-deploy processes, enhancing scalability, reliability, and performance thanks to the modular structure of repositories and deployment pipelines. This modularity ensures that individual data pipeline steps are treated as independent services, developed and maintained according to a microservices deployment strategy.
The AWS Cloud Development Kit (AWS CDK), an open-source software development framework, is employed to ensure consistency across different AWS regions, accounts, and environments. AWS CDK constructs enable developers to delineate architecture components, simplifying the reuse of Infrastructure as Code (IaC).
To support CI/CD, AWS CodePipeline is incorporated into the solution. This automation streamlines the release of new features, updates, or maintenance tasks for the platform. Fully managed continuous delivery services from AWS, including AWS CodeCommit repositories, AWS CodeBuild for building and testing, and AWS CodeDeploy for deployment, form the backbone of this pipeline.
Various pipelines serve the purpose of deploying distinct services at each stage. For instance, a Java application for the Amazon Kinesis Data Analytics application, or the development of AWS Glue ETL jobs, are prime examples. This agile DevOps approach is vital for ensuring sound cloud, data, and software development practices. Storm Reply employs this methodology as a best practice for similar initiatives, ensuring that the necessary levels of governance, security, and agility are met for time-sensitive projects.
360-Degree Data Collection
Creating a big data and analytics platform necessitates gathering data from an array of sources and consolidating it into a centralized location—a data lake. To extract value from customer data, Storm Reply utilizes Amazon S3 as the primary service for a dedicated data storage strategy, accommodating both structured and unstructured data, irrespective of scale.
Data sources encompass IoT devices, websites (such as web-scraped data), mobile applications, and more. For those interested in enhancing their resume headlines, check out this resource for valuable insights. Additionally, for a comprehensive understanding of organizational development, consider visiting this authority on the topic. If you’re preparing for your first day at Amazon, this Reddit thread is an excellent resource to guide you through the process.
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