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Before you start, it's important to understand how k6 Cloud handles data. k6 Cloud allows you to export test result data via its API. Familiarize yourself with the k6 Cloud API documentation to understand the endpoints and data formats available for export.
To interact with Amazon S3, you need the AWS Command Line Interface (CLI) installed and configured on your local machine. Install the AWS CLI and configure it with your AWS credentials by running `aws configure` and providing your access key, secret key, region, and preferred output format.
Use the k6 Cloud API to programmatically export the desired test results. Construct an HTTP request to the relevant k6 Cloud API endpoint using tools like `curl` or `wget`. This request should authenticate using your k6 Cloud API token and specify the data you want to retrieve.
Once you have exported the data, store it locally on your machine. You can write the output from your API call to a file, for example, using command-line redirection (e.g., `curl ... > test_results.json`). Ensure that the data is in a format that can be easily uploaded to S3, such as JSON, CSV, or plain text.
If you haven't already, log in to your AWS Management Console and create an S3 bucket where you will store the k6 Cloud data. Choose a globally unique name for your bucket and configure any necessary permissions, such as public access settings or bucket policies.
Use the AWS CLI to upload the locally stored data to your S3 bucket. The command for uploading a file is `aws s3 cp local_file_path s3://your-bucket-name/`. Replace `local_file_path` with the path to your exported data file and `your-bucket-name` with the name of your S3 bucket.
After uploading, verify that the data has been successfully transferred to your S3 bucket. You can do this by logging into the AWS Management Console and navigating to your S3 bucket to check for the presence of the file. Alternatively, use the AWS CLI command `aws s3 ls s3://your-bucket-name/` to list the contents of your bucket and confirm the upload.
By following these steps, you can successfully move data from k6 Cloud to S3 without relying on third-party connectors or integrations.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
k6 Cloud is a commercial SaaS product that we designed to be the perfect companion to k6 OSS. It brings ease of use, team management, and continuous testing capabilities to your performance testing projects. k6 Cloud Docs assist you to learn and use k6 Cloud features and functionality. The k6 Cloud is a fully-managed load testing service that complements k6 to accelerate your performance testing. k6 is an open-source load testing tool and cloud service for developers, DevOps, QA, and SRE teams.
K6 Cloud's API provides access to various types of data related to performance testing and monitoring. The following are the categories of data that can be accessed through the API:
1. Test Results: This category includes data related to the results of performance tests, such as response times, error rates, and throughput.
2. Metrics: This category includes data related to various performance metrics, such as CPU usage, memory usage, and network traffic.
3. User Behavior: This category includes data related to user behavior during performance tests, such as the number of users, their actions, and their locations.
4. Environment: This category includes data related to the environment in which the performance tests are conducted, such as the hardware and software configurations.
5. Alerts: This category includes data related to alerts generated during performance tests, such as threshold breaches and error notifications.
6. Reports: This category includes data related to performance test reports, such as summary reports, detailed reports, and trend analysis reports.
Overall, K6 Cloud's API provides a comprehensive set of data that can be used to analyze and optimize the performance of web applications and services.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
