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Scalable Data Processing and Transformation using SageMaker Processing (Part 2 of 2)

2023-04-28T02:18:41+00:00

In this 2-part tutorial, we will focus on SageMaker Processing and how we can use it to solve our data processing needs. Our overall goal is to demonstrate how to use SageMaker Processing to help us perform Min-Max scaling on a dataset in its own dedicated and easily scalable environment.  If you are looking for Part 1, you can find it here. As mentioned in Part I, we have divided this tutorial into 4 sections: [1] Synthetic Data Generation (found in PART I) [2] Using MinMaxScaler without the managed infrastructure support of SageMaker Processing (found in PART I) [3] Using [...]

Scalable Data Processing and Transformation using SageMaker Processing (Part 2 of 2)2023-04-28T02:18:41+00:00

Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)

2023-08-14T02:56:21+00:00

Amazon SageMaker is the machine learning platform of AWS which helps solve the different requirements of data scientists and machine learning practitioners. It has several features and capabilities that assist in the different stages of the machine learning process. Here is a simplified list of the capabilities of SageMaker mapped to some of the stages of the ML lifecycle. SageMaker Processing Data Preparation and Processing  SageMaker Training Model Training SageMaker Automatic Hyperparameter Tuning Model Training SageMaker Debugger Model Training SageMaker Hosting Services Deployment and Monitoring SageMaker Model Monitor Deployment and Monitoring   There’s definitely more into this list which we [...]

Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)2023-08-14T02:56:21+00:00

ELB Health Checks vs Route 53 Health Checks For Target Health Monitoring

2024-01-23T05:56:25+00:00

We all know that health checks are a very useful tool for making sure that AWS services such as AWS ELB and Amazon Route 53 know the state of their targets before forwarding traffic to them. In this section, we will take a look at ELB health checks and Route 53 health checks, and compare them with one another. Health Check Service AWS Elastic Load Balancing Amazon Route53 What is it for? This health check periodically sends a request to a target instance, server or function to verify its status i.e. available to accept traffic requests. This health check monitors [...]

ELB Health Checks vs Route 53 Health Checks For Target Health Monitoring2024-01-23T05:56:25+00:00

Interface Endpoint vs Gateway Endpoint vs Gateway Load Balancer Endpoint

2023-04-10T03:13:05+00:00

Interface Endpoint Gateway Endpoint Gateway Load Balancer Endpoint An elastic network interface with a private IP address that serves as an entry point for traffic destined to a supported AWS service, endpoint service, or AWS Marketplace service. For each interface endpoint, you can choose only one subnet per Availability Zone. Endpoints are regional, which means they are only usable within the same region they are created in. Since interface endpoints use ENIs, they also use security groups to control traffic. Can be accessed through AWS VPN connections or AWS Direct Connect connections, through intra-region VPC peering connections from Nitro instances, [...]

Interface Endpoint vs Gateway Endpoint vs Gateway Load Balancer Endpoint2023-04-10T03:13:05+00:00

Amazon EFS vs Amazon FSx for Windows vs Amazon FSx for Lustre

2023-04-07T02:31:03+00:00

Amazon EFS Amazon FSx for Windows File Server Amazon FSx for Lustre • Amazon EFS is a serverless, scalable, high-performance, POSIX-compliant file system in the cloud. • EFS file systems can be accessed by Amazon EC2 Linux instances, Amazon ECS, Amazon EKS, AWS Fargate, and AWS Lambda functions via a file system interface such as NFS protocol. • Amazon EFS supports file system access semantics such as strong consistency and file locking. • EFS file systems can automatically scale in storage to handle petabytes of data. With Bursting mode, the throughput available to a file system scales as a file [...]

Amazon EFS vs Amazon FSx for Windows vs Amazon FSx for Lustre2023-04-07T02:31:03+00:00

How to Create Wait Conditions in a CloudFormation Template

2023-05-02T03:41:59+00:00

Wait Conditions, as the name suggests, is a tool used to control the order of creation of the AWS resources in a CloudFormation stack. It can pause the creation of a stack and wait for a signal to ensure that specific resources and configurations were properly launched before resuming the stack creation process. Use cases: For example, you want to make sure that a specific domain name is working before you can conclude that your application is indeed up and running. Or perhaps, you want to make sure that a particular stack resource can access an external API endpoint (or [...]

How to Create Wait Conditions in a CloudFormation Template2023-05-02T03:41:59+00:00

Amazon Kinesis Data Streams vs Data Firehose vs Data Analytics vs Video Streams

2024-07-17T03:30:01+00:00

  Data Streams Data Firehose Data Analytics Video Streams Short definition Scalable and durable real-time data streaming service. Capture, transform, and deliver streaming data into data lakes, data stores, and analytics services. Transform and analyze streaming data in real time with Apache Flink. Stream video from connected devices to AWS for analytics, machine learning, playback, and other processing. Data sources Any data source (servers, mobile devices, IoT devices, etc) that can call the Kinesis API to send data. Any data source (servers, mobile devices, IoT devices, etc) that can call the Kinesis API to send data. Amazon MSK, Amazon Kinesis [...]

Amazon Kinesis Data Streams vs Data Firehose vs Data Analytics vs Video Streams2024-07-17T03:30:01+00:00

Specifying Triggers for AWS Config Rules

2023-05-02T03:48:17+00:00

AWS Config allows you to set “rules” to evaluate configuration settings on your AWS resources. The result of these rule evaluations are then displayed on the AWS Config web console. You can control the frequency of rule evaluations by AWS Config by specifying a trigger. A trigger refers to the method of evaluation for your config rules. There are two types of triggers to select from when creating a rule. 1. Configuration Changes When “configuration changes” is enabled, AWS Config will evaluate the config rule when specific resources are created, changed, or deleted. In simple terms, as the name implies, [...]

Specifying Triggers for AWS Config Rules2023-05-02T03:48:17+00:00

Setting up AWS Systems Manager for Hybrid Environments

2023-05-02T03:53:19+00:00

AWS Systems Manager allows your organization to monitor and control their infrastructure on AWS and on-premises environments. Systems Manager provides a unified interface to which you can monitor thousands of servers and services of AWS. Essentially, Systems Manager simplifies resource and application management, shortens the time to detect and resolve operational problems, and makes it easy to operate and manage your infrastructure securely at scale. The following are the capabilities of AWS Systems Manager for your Hybrid Environment: Centrally define the configuration options and policies for your managed instances. Automate or schedule a variety of maintenance and deployment tasks. Use [...]

Setting up AWS Systems Manager for Hybrid Environments2023-05-02T03:53:19+00:00

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