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Hi! I'm Guille Ojeda, Cloud Architecture Consultant To put it simply, I create simple solutions for complex technical problems.
My focus is on designing scalable, secure, and cost-effective cloud solutions that startups, scaleups and SMBs can lean on to grow.
I lean on years of experience in cloud architecture and consulting to deliver solutions that are easy to understand and manage.
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Discover the top AWS services that will revolutionize your IoT applications, and learn how to harness the full potential of cloud computing for your projects.
AWS IoT Core is the heart of your IoT applications, providing a scalable, secure, and reliable platform for connecting devices, processing data, and managing communications.
Device Connectivity: Supports secure connections for millions of devices using MQTT, WebSockets, and HTTP protocols.
Message Broker: Facilitates efficient, low-latency communication between devices and applications.
Device Shadow: Stores the latest state of each device, enabling seamless synchronization between devices and applications.
Rules Engine: Transforms and routes incoming data to other AWS services based on customizable rules.
AWS IoT Device Management makes it easy to onboard, monitor, and manage your entire fleet of IoT devices at scale.
Device Provisioning: Automate device registration and securely store device metadata.
Remote Device Management: Monitor and control devices remotely, perform over-the-air (OTA) updates, and troubleshoot issues.
Fleet Indexing: Search and analyze your device fleet based on attributes, status, or custom tags.
Fine-Grained Access Control: Define custom roles and policies to control access to devices and resources.
AWS IoT Analytics empowers you to collect, process, and analyze IoT data, delivering actionable insights to drive informed decision-making.
Data Collection: Ingest raw data from IoT devices or other AWS services, such as Amazon S3.
Data Processing: Cleanse, transform, and enrich your data using customizable processing pipelines.
Data Storage: Store processed data in a time-series format, optimized for efficient analysis and querying.
Data Analysis: Perform ad-hoc queries, visualize data with Amazon QuickSight, or build custom machine learning models using Amazon SageMaker.
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AWS IoT Greengrass allows you to run local compute, messaging, data caching, and machine learning inference on your IoT devices, even when offline.
Local Device Operations: Execute AWS Lambda functions and manage device state locally, reducing latency and improving responsiveness.
Offline Operation: Maintain device functionality during intermittent connectivity or in remote locations.
Secure Communication: Establish secure, encrypted connections between devices and the cloud.
Over-the-Air Updates: Deploy software updates, Lambda functions, and machine learning models to devices remotely.
AWS IoT Events enables you to build event-driven applications that automatically detect and respond to changes in device data, system events, or sensor readings.
Event Detection: Define custom events based on patterns, thresholds, or device status.
Event Actions: Trigger AWS Lambda functions, send notifications, or update device state in response to events.
Visual Workflow: Design and manage complex workflows using a drag-and-drop interface.
Scalable and Secure: Handle millions of events and devices with built-in AWS IoT Events, while ensuring data privacy and security.
Amazon Kinesis Data Streams provides a scalable, managed platform for processing real-time data from IoT devices, enabling you to gain insights and respond to events as they occur.
High Throughput: Ingest and process large volumes of data from IoT devices with low latency.
Data Durability: Automatically replicate data across multiple availability zones for fault tolerance.
Flexible Scaling: Dynamically adjust the processing capacity to handle fluctuations in data volume.
Stream Processing: Integrate with AWS Lambda, Apache Flink, or other stream processing frameworks to analyze and process data in real time.
AWS IoT Device Defender helps protect your IoT devices and applications by continuously monitoring and enforcing security best practices.
Security Audits: Evaluate your IoT devices and applications against pre-defined security policies or create custom policies tailored to your needs.
Anomaly Detection: Monitor device behavior and detect anomalies that may indicate security threats or compromised devices.
Alerts and Notifications: Receive real-time alerts for security incidents or policy violations.
Mitigation Actions: Automate incident response with AWS IoT Events, AWS Lambda, or other AWS services.
Amazon Simple Storage Service (S3) offers durable, scalable, and cost-effective object storage for your IoT data, making it an ideal choice for long-term storage and archiving.
High Durability: Store your data across multiple availability zones, ensuring data protection and availability.
Flexible Storage Classes: Optimize cost and performance with storage classes tailored to different use cases, from frequent access to long-term archiving.
Data Management: Organize, search, and manage your IoT data with object tagging, versioning, and lifecycle policies.
Security and Compliance: Secure your data with encryption, access controls, and compliance certifications.
Leveraging these powerful AWS services will enable you to build robust, scalable, and secure IoT applications that harness the full potential of cloud computing. By combining AWS IoT Core, IoT Device Management, IoT Analytics, IoT Greengrass, IoT Events, Amazon Kinesis Data Streams, IoT Device Defender, and Amazon S3, you can create a comprehensive IoT ecosystem that drives innovation and delivers results.
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If you'd like to know more about me, you can find me on LinkedIn or at www.guilleojeda.com
