From 049778441857b0c9f46b54b0233a9ee994e93b9f Mon Sep 17 00:00:00 2001 From: mlakshmiharita Date: Thu, 23 Jan 2025 20:56:17 +0530 Subject: [PATCH 01/10] Issue page revamp for NRAI Created this for NRAI integrations on issue page. --- ...s-and-Incident-management-and-response.mdx | 62 ++++++++++++++++++- 1 file changed, 61 insertions(+), 1 deletion(-) diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index ebac038f265..779115e4e54 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -90,6 +90,66 @@ We've created a quick demo here to walk you through the issue page user interfac id="b13vkx69yv" /> +### Issue page revamp for NRAI (AIML integartion)[#issue-page-revamp-for-nrai] + + + + The New Relic Issue Page NRAI changes are in public preview and should only be used in non-production environments. + + +The Issue page is now integrated with New Relic Applied Intelligence (NRAI), and assist the support team and customers by reducing the Mean Time to Resolution (MTTR). This provides the detailed diagnostics and insights directly on the issue page, hence users can resolve issues more quickly without navigating through multiple screens. + +The AI powered issue page assists customers in providing the details on the affected services, the impact on end users, previous occurrences of similar issues with mitigated actions, and the confidence level of those mitigated actions. It also assists users in resolving issues and reducing the mean time to resolution (MTTR) by providing predictive and preventive management. + +Customers subscribed to the NRAI feature can access the new issue page. This provides comprehensive details about an issue, helping users in understand its severity and impact, also identifying the involved specific services. This includes the following information in the issue summary: + +* Issue summary provided by NRAI. +* The severity status. +* Alert condition description. + +The updated issue page provides detailed information and analysis in the 'overview' and 'potential causes' tabs, in addition to the existing features such as issue payload, destination, duration, number of incidents, and more. + +The **Overview tab** tab now features three new AI-driven widgets designed to provide comprehensive insights into issues. These widgets offer an improved view by leveraging customer data to enhance diagnostics and provide detailed descriptions of the issues. + + + + * **Affected services** - Provides the information of impacted services and their severity level. + * **End-user impact** - Explains how the issues impacts end-users and the severity level. + + + + * Provides a summary of the last three issue and their resolutions, along with the confidence (High, Medium and Low) match to the current issue. + + + + * **What should you do** - Provides the suggestion/fix to resolve the current issue. + * **Why** - Provides the reason for the issue the percentage confidence in the proposed solution. + + + +The **Potential causes** tab offers an initial analysis and recommended actions for addressing alerts and incidents. On the issue page, you can see the following details: + +* **Anomaly detection:** Identifies irregularities in error rates, logs, and deployments. +* **Visual insights:** Presents visualizations and related data to emphasize potential causes. +* **Confidence levels:** Displays confidence indicators for the suggested causes. +* **Immediate actions:** Recommends prompt actions for users to resolve issues. +* **AI-Driven analysis:** Leverages New Relic AI for comprehensive analysis and insights. + + +### About Issue page[#about-issue-page] + The **Issue page** includes the following sections: * **Issue payload:** This provides you with the issue payload details and lets you copy the payload with a click of a button. @@ -233,4 +293,4 @@ To view the issues in a text format, in the right hand corner, click **Swit To further reduce noise or get improved incident correlation, you can change or customize your decisions. Decisions determine how incidents are grouped together. -To get started, see [Decisions](/docs/new-relic-one/use-new-relic-one/new-relic-ai/get-started-decisions). +To get started, see [Decisions](/docs/new-relic-one/use-new-relic-one/new-relic-ai/get-started-decisions). \ No newline at end of file From 884f2360a911cd50afbeb14932256d43bb7929a7 Mon Sep 17 00:00:00 2001 From: mlakshmiharita Date: Fri, 24 Jan 2025 19:45:58 +0530 Subject: [PATCH 02/10] Updating Issue page for AIML Updating Issue page for AIML --- .../Issues-and-Incident-management-and-response.mdx | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index 779115e4e54..33cac95b6f4 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -112,7 +112,7 @@ Customers subscribed to the NRAI feature can access the new issue page. This pro The updated issue page provides detailed information and analysis in the 'overview' and 'potential causes' tabs, in addition to the existing features such as issue payload, destination, duration, number of incidents, and more. -The **Overview tab** tab now features three new AI-driven widgets designed to provide comprehensive insights into issues. These widgets offer an improved view by leveraging customer data to enhance diagnostics and provide detailed descriptions of the issues. +The **Overview** tab now features three new AI-driven widgets designed to provide comprehensive insights into issues. These widgets offer an improved view by leveraging customer data to enhance diagnostics and provide detailed descriptions of the issues. **Overview tab** tab now features three new AI-driven widgets des +Click **View likely causes** to see the potential causes of the issue. The 'Potentail causes' tab opens. + The **Potential causes** tab offers an initial analysis and recommended actions for addressing alerts and incidents. On the issue page, you can see the following details: * **Anomaly detection:** Identifies irregularities in error rates, logs, and deployments. From 4ed82f28671c3aeb1aa94bda1cbf316cd198c440 Mon Sep 17 00:00:00 2001 From: mlakshmiharita Date: Tue, 28 Jan 2025 16:10:36 +0530 Subject: [PATCH 03/10] Typo Corrections Typo Corrections --- .../Issues-and-Incident-management-and-response.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index 33cac95b6f4..74ef95583e1 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -139,7 +139,7 @@ The **Overview** tab now features three new AI-driven widgets designe -Click **View likely causes** to see the potential causes of the issue. The 'Potentail causes' tab opens. +Click **View likely causes** to see the potential causes of the issue. The 'Potential causes' tab opens. The **Potential causes** tab offers an initial analysis and recommended actions for addressing alerts and incidents. On the issue page, you can see the following details: From 987d7d9b033feaf53d85028603c2bc0680255048 Mon Sep 17 00:00:00 2001 From: mlakshmiharita Date: Fri, 31 Jan 2025 11:28:14 +0530 Subject: [PATCH 04/10] Issue page changes WIP. Please do not merge. --- .../Issues-and-Incident-management-and-response.mdx | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index 74ef95583e1..7e35b29089f 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -90,14 +90,16 @@ We've created a quick demo here to walk you through the issue page user interfac id="b13vkx69yv" /> -### Issue page revamp for NRAI (AIML integartion)[#issue-page-revamp-for-nrai] +### Issue page: Intelligent response [#issue-page-intelligent-response] - - The New Relic Issue Page NRAI changes are in public preview and should only be used in non-production environments. + + We're still working on this feature, but we'd love for you to try it out! + + This feature is currently provided as part of a preview program pursuant to our [pre-release policies](/docs/licenses/license-information/referenced-policies/new-relic-pre-release-policy). The Issue page is now integrated with New Relic Applied Intelligence (NRAI), and assist the support team and customers by reducing the Mean Time to Resolution (MTTR). This provides the detailed diagnostics and insights directly on the issue page, hence users can resolve issues more quickly without navigating through multiple screens. From 9865cc293245436a36804e495bcb952b05a95402 Mon Sep 17 00:00:00 2001 From: mlakshmiharita Date: Fri, 31 Jan 2025 17:28:38 +0530 Subject: [PATCH 05/10] Issue Page WIP. Do not push. --- .../Issues-and-Incident-management-and-response.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index 7e35b29089f..44c3cb180d8 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -102,7 +102,7 @@ We've created a quick demo here to walk you through the issue page user interfac This feature is currently provided as part of a preview program pursuant to our [pre-release policies](/docs/licenses/license-information/referenced-policies/new-relic-pre-release-policy). -The Issue page is now integrated with New Relic Applied Intelligence (NRAI), and assist the support team and customers by reducing the Mean Time to Resolution (MTTR). This provides the detailed diagnostics and insights directly on the issue page, hence users can resolve issues more quickly without navigating through multiple screens. +The Issue page is now integrated with New Relic AI (NRAI), provides real-time insights to help you reduce the mean time to resolution (MTTR) of issues and incidents. It provides an overview by bringing together the important details of an incident onto a single pane, helping you quickly understand the context of an issue without having to navigate through multiple screens. The AI powered issue page assists customers in providing the details on the affected services, the impact on end users, previous occurrences of similar issues with mitigated actions, and the confidence level of those mitigated actions. It also assists users in resolving issues and reducing the mean time to resolution (MTTR) by providing predictive and preventive management. From 87066bc8cd8bcb47d23aaf496c4ad74099cbebd5 Mon Sep 17 00:00:00 2001 From: mlakshmiharita Date: Mon, 3 Feb 2025 15:07:20 +0530 Subject: [PATCH 06/10] Updates to issue page WIP. Do not merge. --- ...s-and-Incident-management-and-response.mdx | 59 +++++-------------- 1 file changed, 14 insertions(+), 45 deletions(-) diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index 44c3cb180d8..489c93f5ec0 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -92,67 +92,34 @@ We've created a quick demo here to walk you through the issue page user interfac ### Issue page: Intelligent response [#issue-page-intelligent-response] - We're still working on this feature, but we'd love for you to try it out! This feature is currently provided as part of a preview program pursuant to our [pre-release policies](/docs/licenses/license-information/referenced-policies/new-relic-pre-release-policy). -The Issue page is now integrated with New Relic AI (NRAI), provides real-time insights to help you reduce the mean time to resolution (MTTR) of issues and incidents. It provides an overview by bringing together the important details of an incident onto a single pane, helping you quickly understand the context of an issue without having to navigate through multiple screens. +The Issue page, now integrated with New Relic AI (NRAI), offers real-time insights to help reduce the mean time to resolution (MTTR) of issues and incidents. It brings together the key details of an incident into a single view, enabling you to quickly understand the context of an issue without navigating through multiple screens. -The AI powered issue page assists customers in providing the details on the affected services, the impact on end users, previous occurrences of similar issues with mitigated actions, and the confidence level of those mitigated actions. It also assists users in resolving issues and reducing the mean time to resolution (MTTR) by providing predictive and preventive management. +The AI-powered issue page provides a concise summary that includes the affected entity, the severity of the issue, an explanation of the alert condition, and additional details to assist with debugging. Additionally, the issue page includes a new '**overview**' tab with **three** widgets that address the most critical questions first responders ask when dealing with an issue. -Customers subscribed to the NRAI feature can access the new issue page. This provides comprehensive details about an issue, helping users in understand its severity and impact, also identifying the involved specific services. This includes the following information in the issue summary: + * **What's impacted?** -* Issue summary provided by NRAI. -* The severity status. -* Alert condition description. + First responders need to assess the **blast radius** to determine the severity of an issue and decide on the next steps. This widget provides an overview of the affected entities along with the impact to the end users of the application or service. -The updated issue page provides detailed information and analysis in the 'overview' and 'potential causes' tabs, in addition to the existing features such as issue payload, destination, duration, number of incidents, and more. + * **What happened previously?** -The **Overview** tab now features three new AI-driven widgets designed to provide comprehensive insights into issues. These widgets offer an improved view by leveraging customer data to enhance diagnostics and provide detailed descriptions of the issues. + Many IT issues tend to reoccur. Knowing if an issue has happened before, why it occurred, and how it was resolved can save first responders valuable time during an incident. To support this, customers can use the widget to link their existing retrospective or postmortem documents. By leveraging retrieval augmented generation (RAG), the New Relic AI platform will index and store this information for future contextual reference. Once configured, first responders will see a summary of similar past issues, along with links to the retrospective documents for detailed analysis. - - - * **Affected services** - Provides the information of impacted services and their severity level. - * **End-user impact** - Explains how the issues impacts end-users and the severity level. - + * **What to check?** - - * Provides a summary of the last three issue and their resolutions, along with the confidence (High, Medium and Low) match to the current issue. - + First responders often need contextual guidance on immediate actions to mitigate an issue. This widget provides customized steps to help them quickly restore services to normal operational levels. Additionally, the Potential Causes tab identifies likely causes through causal analysis, covering a range of possible anomalies and performance issues. + +### About Issue page[#about-issue-page] - * **What should you do** - Provides the suggestion/fix to resolve the current issue. - * **Why** - Provides the reason for the issue the percentage confidence in the proposed solution. - - - -Click **View likely causes** to see the potential causes of the issue. The 'Potential causes' tab opens. - -The **Potential causes** tab offers an initial analysis and recommended actions for addressing alerts and incidents. On the issue page, you can see the following details: - -* **Anomaly detection:** Identifies irregularities in error rates, logs, and deployments. -* **Visual insights:** Presents visualizations and related data to emphasize potential causes. -* **Confidence levels:** Displays confidence indicators for the suggested causes. -* **Immediate actions:** Recommends prompt actions for users to resolve issues. -* **AI-Driven analysis:** Leverages New Relic AI for comprehensive analysis and insights. - - -### About Issue page[#about-issue-page] The **Issue page** includes the following sections: @@ -179,6 +146,8 @@ The **Issue page** includes the following sections: src="/images/accounts_screenshot-crop_new-issue-page.webp" /> + + ## Postmortem [#postmortem-intro] A postmortem is a retrospective process that teams use to analyze what worked and what didn't when responding to and resolving an incident. From 0ded11d49f99679ef458004aee8ab8be56763a22 Mon Sep 17 00:00:00 2001 From: mlakshmiharita Date: Tue, 11 Feb 2025 14:42:51 +0530 Subject: [PATCH 07/10] WIP. WIP. Please do not merge. --- ...s-and-Incident-management-and-response.mdx | 46 +++++++++---------- 1 file changed, 22 insertions(+), 24 deletions(-) diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index 489c93f5ec0..7cc0db052de 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -148,6 +148,28 @@ The **Issue page** includes the following sections: +## Causal analysis + +The causal analysis engine identifies potential symptoms that might have triggered an alert event and suggests immediate mitigating actions to address them. + +Consider a scenario where a PP application encounters a memory leak, leading to a failure in the throughput SLI and triggering an alert. Our engine investigates by moving from the service level to the APM application and then to the infrastructure container to detect the symptom. + +**How does the engine work?** + +The causal analysis engine uses distinct analysis categories, such as deployment events, database CPU limits, and more. Each category is designed to address various potential sources of anomalies and performance issues. These categories focus on specific data types and metrics, enabling precise analysis and more accurate identification of causal relationships. + +### Mitigating actions & visualizations + +For every identified potential cause, the engine offers customized mitigation actions that guide users through the necessary steps to quickly restore services and entities to their normal operational states. We recognize that many of our customers typically rely on NRQL to analyze significant queries, so we provide relevant visuals alongside the underlying query for each cause. + +### Confidence scores + +In certain situations, you may encounter multiple potential causes. To assist you in prioritizing which cause to examine first, we provide confidence scores. These scores are categorized as low, medium, or high confidence. + +### NR AI generated analysis + +In some scenarios, our causal engine may not identify an algorithm-driven cause. However, we have insights that can be utilized with LLMs to offer you actionable steps. Customers interested in this capability must have the permission to NR AI. + ## Postmortem [#postmortem-intro] A postmortem is a retrospective process that teams use to analyze what worked and what didn't when responding to and resolving an incident. @@ -165,30 +187,6 @@ The postmortem includes: For detailed steps on creating a postmortem or to watch our walk-through demo, visit our [Postmortem documentation](/docs/alerts-applied-intelligence/applied-intelligence/postmortems-applied-intelligence/) page. -## Root cause analysis [#root-cause-analysis] - -Root cause analysis automatically finds potential causes for an issue and its impacted entities. It shows you why open issues occurred, which deployments contributed, and relevant error logs and attributes. With this, you can investigate the problem and reduce your mean time to resolution (MTTR). - - - Note that root cause analysis is dependent on other New Relic data sources and features. This is why root cause analysis information may not always be present for every issue. - - -A screenshot example root cause analysis - -
- When you select an issue, you may see **Root cause analysis** information. -
- -Root cause analysis includes three main UI sections: - -* **Deployment events**: When you set up deployments, we provide the deployment nearest to the issue creation. Changes, such as deployments, account for a high percentage of the root causes of incidents and having that information at hand can help diagnose and resolve issues. -* **Error logs**: You can explore millions of log messages with a single click and use manual querying to help you find anomalous patterns and hard-to-find problems. -* **Attributes to investigate**: We scan the distribution of attributes and surface possible causes by finding significant changes in the distribution. This section also shows changes in database and external metrics. You can also [query interesting attributes](/docs/query-your-data/nrql-new-relic-query-language/get-started/introduction-nrql-new-relics-query-language). - ## Impacted entities and issue map Date: Thu, 20 Feb 2025 06:50:53 +0530 Subject: [PATCH 08/10] feat(issue-page-revamp): changes made --- ...s-and-Incident-management-and-response.mdx | 49 ++++++------------- .../response-intelligence-ai.mdx | 33 +++++++++++++ src/nav/alerts.yml | 2 + 3 files changed, 49 insertions(+), 35 deletions(-) create mode 100644 src/content/docs/alerts/incident-management/response-intelligence-ai.mdx diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index 7cc0db052de..b00a3344aa7 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -1,16 +1,9 @@ --- title: Issues and incident management and response -tags: - - Alerts metaDescription: 'Read about how to analyze alert issues and incidents to determine the root cause of an issue.' -redirects: - - /docs/alerts-applied-intelligence/new-relic-alerts/alert-incidents/view-alert-incidents-our-products/ - - /docs/alerts-applied-intelligence/applied-intelligence/incident-intelligence/Issues-and-Incident-management-and-response freshnessValidatedDate: never --- -## Issues feed [#issues-feed] - The **Issues feed** page is where you can find an overview of all your issues, along with helpful information about them. You can also click any individual issue for more detail, including its analysis summary, event log, and details about correlated issues. -### Issue page: Intelligent response [#issue-page-intelligent-response] - - - We're still working on this feature, but we'd love for you to try it out! - - This feature is currently provided as part of a preview program pursuant to our [pre-release policies](/docs/licenses/license-information/referenced-policies/new-relic-pre-release-policy). - - -The Issue page, now integrated with New Relic AI (NRAI), offers real-time insights to help reduce the mean time to resolution (MTTR) of issues and incidents. It brings together the key details of an incident into a single view, enabling you to quickly understand the context of an issue without navigating through multiple screens. - -The AI-powered issue page provides a concise summary that includes the affected entity, the severity of the issue, an explanation of the alert condition, and additional details to assist with debugging. Additionally, the issue page includes a new '**overview**' tab with **three** widgets that address the most critical questions first responders ask when dealing with an issue. - - * **What's impacted?** - - First responders need to assess the **blast radius** to determine the severity of an issue and decide on the next steps. This widget provides an overview of the affected entities along with the impact to the end users of the application or service. - - * **What happened previously?** - - Many IT issues tend to reoccur. Knowing if an issue has happened before, why it occurred, and how it was resolved can save first responders valuable time during an incident. To support this, customers can use the widget to link their existing retrospective or postmortem documents. By leveraging retrieval augmented generation (RAG), the New Relic AI platform will index and store this information for future contextual reference. Once configured, first responders will see a summary of similar past issues, along with links to the retrospective documents for detailed analysis. - - * **What to check?** - - First responders often need contextual guidance on immediate actions to mitigate an issue. This widget provides customized steps to help them quickly restore services to normal operational levels. Additionally, the Potential Causes tab identifies likely causes through causal analysis, covering a range of possible anomalies and performance issues. ### About Issue page[#about-issue-page] @@ -150,17 +120,26 @@ The **Issue page** includes the following sections: ## Causal analysis + + We're still working on this feature, but we'd love for you to try it out! + + If you have questions or feedback, or if you need help during the preview of the .NET agent's **Instrumentation** editor, send an email to [dotnet-li-editor-beta@newrelic.com](mailto:dotnet-li-editor-beta@newrelic.com). + + This feature is currently provided as part of a preview program pursuant to our [pre-release policies](/docs/licenses/license-information/referenced-policies/new-relic-pre-release-policy). + + The causal analysis engine identifies potential symptoms that might have triggered an alert event and suggests immediate mitigating actions to address them. -Consider a scenario where a PP application encounters a memory leak, leading to a failure in the throughput SLI and triggering an alert. Our engine investigates by moving from the service level to the APM application and then to the infrastructure container to detect the symptom. +Consider a scenario where a PHP application encounters a memory leak, leading to a failure in the throughput SLI and triggering an alert. Our engine investigates by moving from the service level to the APM application and then to the infrastructure container to detect the symptom. -**How does the engine work?** +### How does the engine work? +The causal analysis engine uses distinct analysis categories, such as deployment events, infrastructure resource limits, and more. Each category is designed to address various potential sources of anomalies and performance issues. These categories focus on specific data types and metrics, enabling precise analysis and more accurate identification of causal relationships. -The causal analysis engine uses distinct analysis categories, such as deployment events, database CPU limits, and more. Each category is designed to address various potential sources of anomalies and performance issues. These categories focus on specific data types and metrics, enabling precise analysis and more accurate identification of causal relationships. +At the moment, we’re primarily focused on APM entity causal analysis. In the near term, our plan is to include infrastructure, Browser, among other entity types. ### Mitigating actions & visualizations -For every identified potential cause, the engine offers customized mitigation actions that guide users through the necessary steps to quickly restore services and entities to their normal operational states. We recognize that many of our customers typically rely on NRQL to analyze significant queries, so we provide relevant visuals alongside the underlying query for each cause. +For every identified potential cause, the engine offers tailored mitigation actions that guide users through the necessary steps to quickly restore services and entities to their normal operational states. We recognize that many of our customers typically rely on NRQL to analyze significant queries, hence we provide relevant visuals alongside the underlying query for each cause. ### Confidence scores @@ -168,7 +147,7 @@ In certain situations, you may encounter multiple potential causes. To assist yo ### NR AI generated analysis -In some scenarios, our causal engine may not identify an algorithm-driven cause. However, we have insights that can be utilized with LLMs to offer you actionable steps. Customers interested in this capability must have the permission to NR AI. +In some scenarios, our causal engine may not identify an algorithm-driven cause. However, we have insights that can be utilized with LLMs to offer you actionable steps. Customers interested in this capability must have the New Relic AI entitlement enabled. ## Postmortem [#postmortem-intro] diff --git a/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx b/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx new file mode 100644 index 00000000000..a5ab99fff9a --- /dev/null +++ b/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx @@ -0,0 +1,33 @@ +--- +title: Response intelligence with New Relic AI +metaDescription: 'Learn to reduce the meat time to resolve issues and incidents by using New Relic AI with response intelligence.' +freshnessValidatedDate: never +--- + + + We're still working on this feature, but we'd love for you to try it out! + + If you have questions or feedback, or if you need help during the preview of the .NET agent's **Instrumentation** editor, send an email to [dotnet-li-editor-beta@newrelic.com](mailto:dotnet-li-editor-beta@newrelic.com). + + This feature is currently provided as part of a preview program pursuant to our [pre-release policies](/docs/licenses/license-information/referenced-policies/new-relic-pre-release-policy). + + +The Issue page, now integrated with New Relic AI, offers real-time insights to help reduce the mean time to resolution (MTTR) of issues and incidents. It brings together the key details of an incident into a single view, enabling you to quickly understand the context of an issue without navigating through multiple screens. + +A screenshot of the alerts issues + feed. + +The AI-powered issue page provides a concise summary that includes the affected entity, the severity of the issue, an explanation of the alert condition, and additional details to assist with debugging. Additionally, the issue page includes a new ‘overview’ tab with three widgets that address the most critical questions first responders ask when dealing with an issue. + +## What’s impacted? +First responders need to assess the "blast radius" to determine the severity of an issue and decide on the next steps. This widget provides an overview of the affected entities along with the impact to the end users of the application or service. + +## What happened previously? +Many IT issues tend to reoccur. Knowing if an issue has happened before, why it occurred, and how it was resolved can save first responders valuable time during an incident. To support this, customers can use the widget to link their existing retrospective or postmortem documents. By leveraging retrieval augmented generation (RAG), the New Relic AI platform will index and store this information for future contextual reference. Once configured, first responders will see a summary of similar past issues, along with links to the retrospective documents for detailed analysis. + +## What to check? +First responders often need contextual guidance on immediate actions to mitigate an issue. This widget provides customized steps to help them quickly restore services to normal operational levels. Additionally, the Potential causes tab identifies likely causes through causal analysis, covering a range of possible anomalies and performance issues. For more information, refer to casual analysis. diff --git a/src/nav/alerts.yml b/src/nav/alerts.yml index d2e391c51c0..53d22b48845 100644 --- a/src/nav/alerts.yml +++ b/src/nav/alerts.yml @@ -89,6 +89,8 @@ pages: pages: - title: Issue and incident management and response path: /docs/alerts/incident-management/Issues-and-Incident-management-and-response + - title: Intelligence response + path: /docs/alerts/incident-management/response-intelligence-ai - title: Create postmortems path: /docs/alerts/incident-management/postmortems-applied-intelligence - title: View incidents and events From 67beb493a07b16a5dfa0952af087aa6d321b75fb Mon Sep 17 00:00:00 2001 From: ubanerjeeNR Date: Fri, 21 Feb 2025 15:26:12 +0530 Subject: [PATCH 09/10] Apply suggestions from code review Incorporating Vinay's edits Co-authored-by: Vinay Payyapilly --- .../Issues-and-Incident-management-and-response.mdx | 12 ++++++------ .../incident-management/response-intelligence-ai.mdx | 2 +- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index b00a3344aa7..b4518ea549c 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -130,24 +130,24 @@ The **Issue page** includes the following sections: The causal analysis engine identifies potential symptoms that might have triggered an alert event and suggests immediate mitigating actions to address them. -Consider a scenario where a PHP application encounters a memory leak, leading to a failure in the throughput SLI and triggering an alert. Our engine investigates by moving from the service level to the APM application and then to the infrastructure container to detect the symptom. +Consider a scenario where a PHP application encounters a memory leak that leads to a failure in the throughput SLI and triggers an alert. The engine investigates by moving from the service level to the APM application and then to the infrastructure container to detect the symptom. ### How does the engine work? -The causal analysis engine uses distinct analysis categories, such as deployment events, infrastructure resource limits, and more. Each category is designed to address various potential sources of anomalies and performance issues. These categories focus on specific data types and metrics, enabling precise analysis and more accurate identification of causal relationships. +The causal analysis engine uses distinct analysis categories such as deployment events, infrastructure resource limits, and more. Each category is designed to address various potential sources of anomalies and performance issues. Each category focuses on specific data types and metrics, enabling precise analysis and more accurate identification of causal relationships. At the moment, we’re primarily focused on APM entity causal analysis. In the near term, our plan is to include infrastructure, Browser, among other entity types. ### Mitigating actions & visualizations -For every identified potential cause, the engine offers tailored mitigation actions that guide users through the necessary steps to quickly restore services and entities to their normal operational states. We recognize that many of our customers typically rely on NRQL to analyze significant queries, hence we provide relevant visuals alongside the underlying query for each cause. +For every identified potential cause, the engine offers tailored mitigation actions that guide users through the necessary steps to quickly restore services and entities to their normal operational states. Since many of our customers rely on NRQL to analyze significant queries, we provide relevant visuals alongside the underlying query for each cause. ### Confidence scores -In certain situations, you may encounter multiple potential causes. To assist you in prioritizing which cause to examine first, we provide confidence scores. These scores are categorized as low, medium, or high confidence. +In certain situations, you may encounter multiple potential causes. To assist you in prioritizing which cause to examine first, New Relic provides confidence scores. These scores are categorized as low, medium, or high confidence. ### NR AI generated analysis -In some scenarios, our causal engine may not identify an algorithm-driven cause. However, we have insights that can be utilized with LLMs to offer you actionable steps. Customers interested in this capability must have the New Relic AI entitlement enabled. +In some scenarios, the causal engine may not identify an algorithm-driven cause. However, the insights can be used with LLMs to offer you actionable steps. To use this capability, enable the New Relic AI entitlement. ## Postmortem [#postmortem-intro] @@ -243,4 +243,4 @@ To view the issues in a text format, in the right hand corner, click **Swit To further reduce noise or get improved incident correlation, you can change or customize your decisions. Decisions determine how incidents are grouped together. -To get started, see [Decisions](/docs/new-relic-one/use-new-relic-one/new-relic-ai/get-started-decisions). \ No newline at end of file +To get started, refer to [Decisions](/docs/new-relic-one/use-new-relic-one/new-relic-ai/get-started-decisions). \ No newline at end of file diff --git a/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx b/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx index a5ab99fff9a..87f68524c26 100644 --- a/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx +++ b/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx @@ -30,4 +30,4 @@ First responders need to assess the "blast radius" to determine the severity of Many IT issues tend to reoccur. Knowing if an issue has happened before, why it occurred, and how it was resolved can save first responders valuable time during an incident. To support this, customers can use the widget to link their existing retrospective or postmortem documents. By leveraging retrieval augmented generation (RAG), the New Relic AI platform will index and store this information for future contextual reference. Once configured, first responders will see a summary of similar past issues, along with links to the retrospective documents for detailed analysis. ## What to check? -First responders often need contextual guidance on immediate actions to mitigate an issue. This widget provides customized steps to help them quickly restore services to normal operational levels. Additionally, the Potential causes tab identifies likely causes through causal analysis, covering a range of possible anomalies and performance issues. For more information, refer to casual analysis. +First responders often need contextual guidance on immediate actions to mitigate an issue. This widget provides customized steps to help them quickly restore services to normal operational levels. Additionally, the Potential causes tab identifies likely causes through causal analysis, covering a range of possible anomalies and performance issues. For more information, refer to causal analysis. From 788480552ea1ba19b199275a3ed1245a51f0fe17 Mon Sep 17 00:00:00 2001 From: ubanerjeeNR Date: Fri, 21 Feb 2025 16:18:00 +0530 Subject: [PATCH 10/10] feat(issue page): Meda's changes --- ...s-and-Incident-management-and-response.mdx | 33 +----------------- .../response-intelligence-ai.mdx | 31 ++++++++++++++-- static/images/potential_issues.webp | Bin 0 -> 106176 bytes 3 files changed, 29 insertions(+), 35 deletions(-) create mode 100644 static/images/potential_issues.webp diff --git a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx index b00a3344aa7..623b29301f3 100644 --- a/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx +++ b/src/content/docs/alerts/incident-management/Issues-and-Incident-management-and-response.mdx @@ -118,37 +118,6 @@ The **Issue page** includes the following sections: -## Causal analysis - - - We're still working on this feature, but we'd love for you to try it out! - - If you have questions or feedback, or if you need help during the preview of the .NET agent's **Instrumentation** editor, send an email to [dotnet-li-editor-beta@newrelic.com](mailto:dotnet-li-editor-beta@newrelic.com). - - This feature is currently provided as part of a preview program pursuant to our [pre-release policies](/docs/licenses/license-information/referenced-policies/new-relic-pre-release-policy). - - -The causal analysis engine identifies potential symptoms that might have triggered an alert event and suggests immediate mitigating actions to address them. - -Consider a scenario where a PHP application encounters a memory leak, leading to a failure in the throughput SLI and triggering an alert. Our engine investigates by moving from the service level to the APM application and then to the infrastructure container to detect the symptom. - -### How does the engine work? -The causal analysis engine uses distinct analysis categories, such as deployment events, infrastructure resource limits, and more. Each category is designed to address various potential sources of anomalies and performance issues. These categories focus on specific data types and metrics, enabling precise analysis and more accurate identification of causal relationships. - -At the moment, we’re primarily focused on APM entity causal analysis. In the near term, our plan is to include infrastructure, Browser, among other entity types. - -### Mitigating actions & visualizations - -For every identified potential cause, the engine offers tailored mitigation actions that guide users through the necessary steps to quickly restore services and entities to their normal operational states. We recognize that many of our customers typically rely on NRQL to analyze significant queries, hence we provide relevant visuals alongside the underlying query for each cause. - -### Confidence scores - -In certain situations, you may encounter multiple potential causes. To assist you in prioritizing which cause to examine first, we provide confidence scores. These scores are categorized as low, medium, or high confidence. - -### NR AI generated analysis - -In some scenarios, our causal engine may not identify an algorithm-driven cause. However, we have insights that can be utilized with LLMs to offer you actionable steps. Customers interested in this capability must have the New Relic AI entitlement enabled. - ## Postmortem [#postmortem-intro] A postmortem is a retrospective process that teams use to analyze what worked and what didn't when responding to and resolving an incident. @@ -157,7 +126,7 @@ In the New Relic platform, the postmortem feature is a tool that automatically c The postmortem includes: -* the record of an incident, including descriptions +* The record of an incident, including descriptions * A timeline of the incident * The incident's impact * The incident's root causes diff --git a/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx b/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx index a5ab99fff9a..6f59ea58253 100644 --- a/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx +++ b/src/content/docs/alerts/incident-management/response-intelligence-ai.mdx @@ -23,11 +23,36 @@ The Issue page, now integrated with New Relic AI, offers real-time insights to h The AI-powered issue page provides a concise summary that includes the affected entity, the severity of the issue, an explanation of the alert condition, and additional details to assist with debugging. Additionally, the issue page includes a new ‘overview’ tab with three widgets that address the most critical questions first responders ask when dealing with an issue. -## What’s impacted? +**What’s impacted?**
First responders need to assess the "blast radius" to determine the severity of an issue and decide on the next steps. This widget provides an overview of the affected entities along with the impact to the end users of the application or service. -## What happened previously? +**What happened previously?**
Many IT issues tend to reoccur. Knowing if an issue has happened before, why it occurred, and how it was resolved can save first responders valuable time during an incident. To support this, customers can use the widget to link their existing retrospective or postmortem documents. By leveraging retrieval augmented generation (RAG), the New Relic AI platform will index and store this information for future contextual reference. Once configured, first responders will see a summary of similar past issues, along with links to the retrospective documents for detailed analysis. -## What to check? +**What to check?**
First responders often need contextual guidance on immediate actions to mitigate an issue. This widget provides customized steps to help them quickly restore services to normal operational levels. Additionally, the Potential causes tab identifies likely causes through causal analysis, covering a range of possible anomalies and performance issues. For more information, refer to casual analysis. + +## Causal analysis +The causal analysis engine identifies potential symptoms that might have triggered an alert event and suggests immediate mitigating actions to address them. + +Consider a scenario where a PHP application encounters a memory leak, leading to a failure in the throughput SLI and triggering an alert. Our engine investigates by moving from the service level to the APM application and then to the infrastructure container to detect the symptom. + +How does the engine work? The causal analysis engine uses distinct analysis categories, such as deployment events, infrastructure resource limits, and more. Each category is designed to address various potential sources of anomalies and performance issues. These categories focus on specific data types and metrics, enabling precise analysis and more accurate identification of causal relationships. + +At the moment, New Relic only supports causal analysis for APM entities. + +A screenshot of the alerts issues + feed. + +### Mitigating actions & visualizations + +For every identified potential cause, the engine offers tailored mitigation actions that guide users through the necessary steps to quickly restore services and entities to their normal operational states. We recognize that many of our customers typically rely on NRQL to analyze significant queries, hence we provide relevant visuals alongside the underlying query for each cause. + +### New Relic AI generated analysis + +In some scenarios, our causal engine may not identify an algorithm-driven cause. However, we have insights that, when combined with with LLMs, can offer you actionable steps. 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