[ECOINT-146] Add Akamas integration #2694
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urseberry
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akamas/README.md
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| ## Overview | ||
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| Akamas Insights helps developers, DevOps engineers, and SREs quickly identify cost inefficiencies and reliability issues in Kubernetes environments. It collects observability data from Datadog and analyzes workloads, application runtimes like the JVM and cluster behaviour to automatically identify optimization opportunities and generate easy-to-apply recommendations. |
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| Akamas Insights helps developers, DevOps engineers, and SREs quickly identify cost inefficiencies and reliability issues in Kubernetes environments. It collects observability data from Datadog and analyzes workloads, application runtimes like the JVM and cluster behaviour to automatically identify optimization opportunities and generate easy-to-apply recommendations. | |
| Akamas Insights helps developers, DevOps engineers, and SREs identify cost inefficiencies and reliability issues in Kubernetes environments. It collects observability data from Datadog and analyzes workloads, application runtimes like the JVM, and cluster behavior to automatically identify optimization opportunities and generate recommendations. |
akamas/README.md
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| Akamas Insights helps developers, DevOps engineers, and SREs quickly identify cost inefficiencies and reliability issues in Kubernetes environments. It collects observability data from Datadog and analyzes workloads, application runtimes like the JVM and cluster behaviour to automatically identify optimization opportunities and generate easy-to-apply recommendations. | ||
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| **Cost Efficiency Analysis** | ||
| detect issues like over-provisioned workloads, over-sized JVM heap memory, or inefficient cluster autoscaling behavior and estimate savings, so that you can focus on the biggest cost reduction opportunities. |
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| detect issues like over-provisioned workloads, over-sized JVM heap memory, or inefficient cluster autoscaling behavior and estimate savings, so that you can focus on the biggest cost reduction opportunities. | |
| Detect issues like over-provisioned workloads, over-sized JVM heap memory, or inefficient cluster autoscaling behavior and estimate savings, so that you can focus on the biggest cost reduction opportunities. |
akamas/README.md
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| detect issues like over-provisioned workloads, over-sized JVM heap memory, or inefficient cluster autoscaling behavior and estimate savings, so that you can focus on the biggest cost reduction opportunities. | ||
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| **Reliability Risk Detection** | ||
| Identifies risks like CPU throttling, out-of-memory kills or wrong JVM configurations that can cause out of memory kills or performance issues, so that you can fix the problem before they cause a production issue. |
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| Identifies risks like CPU throttling, out-of-memory kills or wrong JVM configurations that can cause out of memory kills or performance issues, so that you can fix the problem before they cause a production issue. | |
| Identifies risks like CPU throttling, out-of-memory kills, or wrong JVM configurations that can cause out of memory kills or performance issues, so that you can fix the problem before they cause a production issue. |
akamas/README.md
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| **Reliability Risk Detection** | ||
| Identifies risks like CPU throttling, out-of-memory kills or wrong JVM configurations that can cause out of memory kills or performance issues, so that you can fix the problem before they cause a production issue. | ||
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| **Compliance Issues Identification** |
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| **Compliance Issues Identification** | |
| **Compliance Issue Identification** |
akamas/README.md
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| **Compliance Issues Identification** | ||
| Detect issues like pods with no memory limits or JVM with default settings, so that you can educate all application teams using Kubernetes about configuration best practices to achieve efficiency and reliable applications. | ||
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| Akamas Insights delivers actionable recommendations that uniquely cover the full Kubernetes stack, including the pod resources, JVM options and providing visibility around cluster autoscaling efficiency. It requires no agents or other changes, making it easy to adopt within any existing Kubernetes environment. |
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| Akamas Insights delivers actionable recommendations that uniquely cover the full Kubernetes stack, including the pod resources, JVM options and providing visibility around cluster autoscaling efficiency. It requires no agents or other changes, making it easy to adopt within any existing Kubernetes environment. | |
| Akamas Insights delivers actionable recommendations that cover the full Kubernetes stack, including the pod resources, JVM options, and cluster autoscaling. It requires no agents or other changes, making it easy to adopt within any existing Kubernetes environment. |
akamas/README.md
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| # Uninstalling Akamas Insights Integration with Datadog | ||
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| To stop using the integration just log into your Akamas Insights instance and delete the Datadog integration. |
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| To stop using the integration just log into your Akamas Insights instance and delete the Datadog integration. | |
| To stop using the integration, log into your Akamas Insights instance and delete the Datadog integration. |
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| { | |||
| "title": "Akamas Insights", | |||
| "description": "[[suggested_dashboards]]", | |||
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Please add a description that explains what this dashboard does.
akamas/manifest.json
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| "display_on_public_website": true, | ||
| "tile": { | ||
| "title": "Akamas", | ||
| "description": "Identify cost optimization and reliability improvements opportunities for your applications runnign on Kubernetes. ", |
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| "description": "Identify cost optimization and reliability improvements opportunities for your applications runnign on Kubernetes. ", | |
| "description": "Identify cost optimization and reliability improvements opportunities for your Kubernetes applications.", |
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@urseberry ready for another review, thanks |
urseberry
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May 29, 2025
akamas/README.md
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| 1. Log into your Akamas Insights instance. | ||
| 2. Navigate to **Datasources** > **Datadog**. | ||
| 3. Specify the [Datadog site parameter][1] (e.g. US1, EU1). |
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| 3. Specify the [Datadog site parameter][1] (e.g. US1, EU1). | |
| 3. Specify the [Datadog site parameter][1] (for example, US1 or EU1). |
dd-dominic
approved these changes
May 30, 2025
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@urseberry ready for another review. Thanks |
urseberry
approved these changes
May 30, 2025
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