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[BLOG] Amazon Q CLI Integration: Log Pattern and Data Distribution Analysis #3984
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[BLOG] Amazon Q CLI Integration: Log Pattern and Data Distribution Analysis #3984
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Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
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Thank you for submitting a blog post! The blog post review process is: Submit a PR -> (Optional) Peer review -> Doc review -> Editorial review -> Marketing review -> Published. |
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Hi @PauiC, It looks like you're adding a new blog post but don't have an issue mentioned. Please link this PR to an open issue using one of these keywords in the PR description:
If an issue hasn't been created yet, please create one and then link it to this PR. |
Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
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@PauiC - Is there an open blog issue for this request? If not, please open one here: https://github.com/opensearch-project/project-website/issues/new?template=blog_post.yml. Without it, your blog will not be scheduled to publish. |
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@xluo-aws - Adding you to this for peer review. |
Thank you for your reminder, an open issue already exists for this matter. |
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Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
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Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
Signed-off-by: Jiaru Jiang <[email protected]>
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@pajuric , we have completed internal review, could you help review as well? |
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@kolchfa-aws - Adding you for tech review. |
Signed-off-by: Fanit Kolchina <[email protected]>
kolchfa-aws
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Thank you, @PauiC! Doc review complete - I pushed my edits to the PR. Please see my comment and let me know if you have any questions. Before updating, please rebase so you keep my changes.
| - Other services: 21% | ||
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| 2. **Severity level analysis** (divergence: 0.609): | ||
| - INFO level: 61% (normal operations) |
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It's not clear why there are different info levels. I'm assuming this is because the demo simulates different services where you have both java "INFO" and python "info" and maybe .net "Information"? If so, please add this in parentheses. If not, please add an explanatory sentence so readers can understand the discrepancy. Put actual error code levels in code font (so error or INFO).
Description
Amazon Q CLI Integration: Log Pattern and Data Distribution Analysis
Issues Resolved
#3985
Check List
By submitting this pull request, I confirm that my contribution is made under the terms of the BSD-3-Clause License.