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Getting Started with SageMaker Ground Truth Private Workforce

2023-07-08T07:25:35+00:00

Before we begin, let’s quickly talk about what Amazon SageMaker is and what it is used for. If this is your first time learning about Amazon SageMaker, it is the machine learning platform of AWS that helps solve the different requirements of data scientists, developers, and machine learning practitioners.  It has several features and capabilities that assist in the different stages of the machine learning process. In this tutorial, we will focus on SageMaker Ground Truth and how it helps data science teams get access to clean labeled datasets.  When performing machine learning experiments, getting access to labeled datasets is [...]

Getting Started with SageMaker Ground Truth Private Workforce2023-07-08T07:25:35+00:00

AWS Transfer Family

2023-06-23T06:17:05+00:00

Bookmarks Benefits How to delegate access Managing users Pricing AWS Transfer Family Cheat Sheet AWS Transfer Family is a secure transfer service for moving files into and out of AWS storage services, such as Amazon S3 and Amazon EFS. With Transfer Family, you do not need to run or maintain any server infrastructure of your own. You can provision a Transfer Family server with multiple protocols (SFTP, FTPS, FTP).   Benefits Fully managed service and scales in real time. You don't need to modify your applications or run any file transfer protocol infrastructure. [...]

AWS Transfer Family2023-06-23T06:17:05+00:00

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

AWS Certified Sysops Administrator Associate (SOA-C02) Exam Experience

2023-05-27T08:13:04+00:00

I recently took the new AWS Certified SysOps Administrator SOA-C02 exam last week via the Pearson Vue online proctoring. There are a lot of recently introduced features and services that showed up in this new version which you should be aware of. The new version included the new Exam Labs section in the test, which is unique among the other existing AWS certifications. If you’re planning to take this exam soon, read on. At the beginning of the exam, I received a message regarding the number of questions in the multiple-choice and multiple-response sections, including the number of exam labs in the [...]

AWS Certified Sysops Administrator Associate (SOA-C02) Exam Experience2023-05-27T08:13:04+00:00

Sample SysOps Exam Lab Scenario #1 – Create an Alarm Using a Metric Filter

2023-04-28T02:28:26+00:00

This sample exam lab was taken from our AWS Certified SysOps Administrator Associate Practice Exams. Check out our practice test course for more exam lab scenarios. LEARNING OBJECTIVE The goal of this lab exercise is to help you understand how you can leverage CloudWatch Logs, CloudWatch Metrics, CloudWatch Alarms, and Amazon SNS services in creating an automated alarm system that can inform you of unusual activity in your AWS cloud environment. TIME: 20 MINUTES SCENARIO In this scenario, you have to create a CloudWatch alarm that publishes a message to an SNS topic when triggered. The alarm state is based [...]

Sample SysOps Exam Lab Scenario #1 – Create an Alarm Using a Metric Filter2023-04-28T02:28:26+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

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