Sync data from Azure to Splunk
CloudQuery is the simple, fast data integration platform that can fetch your data from Azure APIs and load it into Splunk
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Step by step guide for how to export data from Azure to Splunk
Table of Contents
MacOS Setup
Step 1: Install CloudQuery
To install CloudQuery, run the following command in your terminal:
brew install cloudquery/tap/cloudqueryStep 2: Create a Configuration File
Next, run the following command to initialize a sync configuration file for Azure to Splunk:
cloudquery init --source=azure --destination=splunkThis will generate a config file named azure_to_splunk.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.
Step 3: Log in to CloudQuery CLI
Next, log in to the CloudQuery CLI. If you have't already, you can sign up for a free account as part of this step:
cloudquery loginStep 4: Run a Sync
cloudquery sync azure_to_splunk.yamlThis will start syncing data from the Azure API to your Splunk database! 🚀
See the CloudQuery documentation portal for more deployment guides, options and further tips.
FAQs
What is CloudQuery?
Why does CloudQuery require login?
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What data can CloudQuery sync from Azure to Splunk?
What permissions does the CloudQuery Azure Integration require?
Can I rate limit the requests that CloudQuery makes to the Azure API?
Which write mode can I use in Splunk when syncing data from Azure?
append write mode, this means that it will not remove data from your Splunk destination and will create new indexes when needed.How can I ensure that my sync from Azure does not exceed my Splunk API limits?
batch_size, batch_size_bytes, and max_concurrent_requests integers. In general, you should keep the max_concurrent_requests integer as low as possible while aiming for a ratio of roughly 1,000 between batch_size and max_concurrent_requests, this will ensure that the response times from your Splunk instance remain reasonable.