Notes Along the Way
Articles, talks, and videos from before this new chapter. Visit The Original Site.
AWS
March 23, 2020: Post updated to clarify networking, IAM permissions, and database configurations required to use machine learning from Aurora databases. A new notebook using SageMaker Autopilot gives a complete example, from the set up of the model to the creation of the SQL function using the endpoint. The integrations described in this post are now available for MySQL and […]
AWS
AWS IoT Greengrass extends cloud capabilities to edge devices, so that they can respond to local events in near real-time, even with intermittent connectivity. Today, we are adding two features that make it easier to build IoT solutions: Container support to deploy applications using the Greengrass Docker application deployment connector. Collect, process, and export data streams from […]
AWS
AWS Step Functions allows you to add serverless workflow automation to your applications. The steps of your workflow can run anywhere, including in AWS Lambda functions, on Amazon Elastic Compute Cloud (Amazon EC2), or on-premises. To simplify building workflows, Step Functions is directly integrated with multiple AWS Services: Amazon Elastic Container Service (Amazon ECS), AWS […]
AWS
Storing your data in Amazon S3 provides lots of benefits in terms of scale, reliability, and cost effectiveness. On top of that, you can leverage Amazon EMR to process and analyze your data using open source tools like Apache Spark, Hive, and Presto. As powerful as these tools are, it can still be challenging to deal with use cases where […]
AWS
With AWS CloudFormation, you can model your entire infrastructure with text files. In this way, you can treat your infrastructure as code and apply software development best practices, such as putting it under version control, or reviewing architectural changes with your team before deployment. Sometimes AWS resources initially created using the console or the AWS Command […]
AWS
Microservices make applications easier to scale and faster to develop, but coordinating the components of a distributed application can be a daunting task. AWS Step Functions is a fully managed service that makes coordinating tasks easier by letting you design and run workflows that are made of steps, each step receiving as input the output of the previous […]
AWS
I am always impressed by the flexibility of Amazon DynamoDB, providing our customers a fully-managed key-value and document database that can easily scale from a few requests per month to millions of requests per second. The DynamoDB team released so many great features recently, from on-demand capacity, to support for native ACID transactions. Here’s a […]
AWS
Getting accurate time series forecasts from historical data is not an easy task. Last year at re:Invent we introduced Amazon Forecast, a fully managed service that requires no experience in machine learning to deliver highly accurate forecasts. I’m excited to share that Amazon Forecast is generally available today! With Amazon Forecast, there are no servers to provision. You […]
AWS
As soon as companies started to have data in digital format, it was possible for them to build a data warehouse, collecting data from their operational systems, such as Customer relationship management (CRM) and Enterprise resource planning (ERP) systems, and use this information to support their business decisions. The reduction in costs of storage, together […]
AWS
The open source Amplify Framework provides a set of libraries, user interface (UI) components, and a command line interface (CLI) that make it easier to add sophisticated cloud features to your web or mobile apps by provisioning backend resources using AWS CloudFormation. A comment I often get when talking with our customers, is that when you are […]
AWS
At AWS, we want to put machine learning in the hands of every developer. For example, we have pre-trained AI services for areas such as computer vision and language that you can use without any expertise in machine learning. Today we are making another step in that direction with the addition of a new Predictions category to the […]
AWS
Managing your Infrastructure as Code provides great benefits and is often a stepping stone for a successful application of DevOps practices. In this way, instead of relying on manually performed steps, both administrators and developers can automate provisioning of compute, storage, network, and application services required by their applications using configuration files. For example, defining your Infrastructure as […]
AWS
The database is usually the most critical part of a software architecture and managing databases, especially relational ones, has never been easy. For this reason, we created Amazon Aurora Serverless, an auto-scaling version of Amazon Aurora that automatically starts up, shuts down and scales up or down based on your application workload. The MySQL-compatible edition of […]
AWS
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. I am always amazed at how our customers are using streaming data. For example, Thomson Reuters, one of the world’s most trusted news organizations for businesses and professionals, built a solution to capture, analyze, and visualize analytics data to help product […]
AWS
Last year at re:Invent we told you that we were working on the AWS Toolkit for IntelliJ. Since then, the toolkit has been in active development on GitHub. I’m happy to share that the AWS Toolkit for IntelliJ is now generally available! The toolkit provides an integrated experience for developing serverless applications. For example, you […]
AWS
I remember the excitement when AWS Lambda was announced in 2014! Four years on, customers are using Lambda functions for many different use cases. For example, iRobot is using AWS Lambda to provide compute services for their Roomba robotic vacuum cleaners, Fannie Mae to run Monte Carlo simulations for millions of mortgages, Bustle to serve billions of requests for their digital content. Today, […]
AWS
Software developers have their own preferred tools. Some use powerful editors, others Integrated Development Environments (IDEs) that are tailored for specific languages and platforms. In 2014 I created my first AWS Lambda function using the editor in the Lambda console. Now, you can choose from a rich set of tools to build and deploy serverless applications. […]
AWS
The capacity to foresee the future would be an incredible superpower. At AWS, we can’t give you that, but we can help you use machine learning to forecast time series in a few steps. The goal of time series forecasting is to predict future values of time-dependent data such as weekly sales, daily inventory levels, […]
AWS
January 31, 2025: Post updated to clarify the reduced on-demand pricing and workloads recommendations. Just a few years ago, creating a database that could support your business at any scale while providing consistent low latency was a daunting task. That changed for me in 2012 while reading Werner Vogels’ blog post announcing Amazon DynamoDB (it was […]
AWS
Customers are using Amazon Kinesis to collect, process, and analyze real-time streaming data. In this way, they can react quickly to new information from their business, their infrastructure, or their customers. For example, Epic Games ingests more than 1.5 million game events per second for its popular online game, Fortnite. With Amazon Kinesis Data Analytics you can […]
AWS
May 20, 2024: As of September 2022, DynamoDB now supports 100 items per transactions. March 13, 2020: Post updated to clarify how to use transactions with global tables and the increase in the maximum number of items per transaction from 10 to 25. Over the years, customers have used Amazon DynamoDB for lots of different […]
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