![]() Third and final tip is to generate the Amazon S3 bucket policy, copy the resulting JSON and apply it as an IAM policy from your AWS console to this new Amazon S3 bucket you’ve created. Why you ask? Because data moved from Splunk Cloud to an Amazon S3 bucket in the same region will not incur a data export charge. Second, the bucket you create must be in the same AWS region as your Splunk Cloud instance. ![]() TIP: Make sure you include your Splunk Cloud instance string as suggested in the bucket name. There are three key points to keep in mind.įirst, the ‘Amazon S3 bucket name’ bucket folder and bucket path-you create a bucket name. Click on the ‘New Self Storage Location’ green button in the upper right. ![]() So, how do you create a self-storage location? If you click on the ‘Edit self storage locations,’ you’ll get to the Self Storage Locations page. If you edit cupgames_fy19 index, you’ll notice we have an option to move data-and if selected-to a self-storage location that is already configured. When it reaches the retention threshold, data will be moved to the self-service location specified. It has a searchable retention set to 10 months, which means data will stay in Splunk Cloud for that time. You’ll notice two indexes cupgames_fy19 and cupgamesfy19_400-third and fourth in the list of indexes-have a defined self-service location. Take a look at this index page of a company called fueledfy19 which uses Splunk Cloud. The self-service location is assigned on a per-index basis, giving you complete flexibility to move critical data to self-storage. Index page in Splunk Cloud has two new columns-self-service location and its status. We’ve incorporate best-security practices using AWS IAM roles.ĭata has a lifecycle defined by the Indexes page. Secure and performant: DDSS is designed to move data with negligible impact to your route search activities. You configure the Amazon S3 self-storage location and decide which indexes move data to that location. Specifically in control of the sc_admin role. When data is moved out successfully to the storage location in your control, only then is it deleted from Splunk Cloud.Įverything in your control: We’ve designed DDSS to be completely self-service and in your control. When it reaches end of its useful life in Splunk Cloud based on retention settings in your control, you now have the option to move it to a storage location in your control. Honor the data lifecycle: There is one copy of data in Splunk Cloud. With DDSS we followed three design principles. The "self-storage" in the name refers to the fact that you choose where to move the data the storage of that data once moved is in your control. When the retention thresholds are met and data is about to be deleted, indexes configured with DDSS move the data to an Amazon S3 bucket in your organization’s AWS account to keep for as long as you see fit. With DDSS, you send data to Splunk Cloud and control the retention of data as usual on a per-index basis. It’s called “ Dynamic Data: Self-Storage”. Is their data subject to 3 years retention? Is it 5 years? Other compliance requirements require 7 or even 10 years of data retention! For such situations, we’ve designed a new feature in Splunk Cloud. But new regulations are being proposed at businesses for better managing cybersecurity risk and are mandating businesses retain their data for significantly longer periods of time.Ĭase in point is the New York State department of Financial Services regulation that went into effect last year, with many businesses still in the process of interpreting the compliance directives. Splunk Cloud customers are aware they can tailor storage to meet their retention needs, and many customers purchase increased storage to meet those specific needs.
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