DOCS-2530 Lint Integrations section (part 2) (DataDog#1110)

calico/README.md

@@ -16,7 +16,7 @@ Using annotations:
 
 1. Set up Calico on your cluster if you have not already.
 
-2. Enable Prometheus metrics using the instructions in Calico's [Monitor Calico Component Metrics documentation][9].
+2. Enable Prometheus metrics using the instructions in [Monitor Calico component metrics][9].
    Once enabled, you should have a `felix-metrics-svc` service running in your cluster, as well as a `prometheus-pod`.
 
 3. To use Autodiscovery, modify `prometheus-pod`. Add the following snippet to your Prometheus YAML configuration file:
@@ -56,7 +56,7 @@ To install the Calico check on your host:
 4. Upload the build artifact to any host with an Agent and
    run `datadog-agent integration install -w path/to/calico/dist/<ARTIFACT_NAME>.whl`.
 
-5. Follow Calico's [Monitor Calico Component Metrics documentation][9] until you have a `felix-metrics-svc` service running using `kubectl get all --all-namespaces`.
+5. Follow [Monitor Calico component metrics][9] until you have a `felix-metrics-svc` service running using `kubectl get all --all-namespaces`.
 
 6. If you are using minikube, you must forward port 9091 to `felix-metrics-svc`.
    Run `kubectl port-forward service/felix-metrics-svc 9091:9091 -n kube-system`.
@@ -92,8 +92,8 @@ See [service_checks.json][7] for a list of service checks provided by this integ
 
 ## Concerning logs
 
-Since Calico structure is setup in a kubernetes cluster, it is built with deployments, pods, service.
-Kubernetes integration makes a great job at fetching logs from containers Therefore, when Kubernetes integration is setup, calico logs are automatically available in datadoghq Log section. You should proceed this way.
+Since Calico structure is set up in a Kubernetes cluster, it is built with deployments, pods, and services.
+The Kubernetes integration fetches logs from containers. Therefore, when Kubernetes integration is set up, Calico logs are automatically available in the Datadog Log Explorer.
 
 ## Troubleshooting
 

concourse_ci/README.md

@@ -19,7 +19,7 @@ Configure ATC to use the Datadog emitter by setting the following options. It is
 
 ### Metric emitter options
 
-See the Concourse CI [documentation][4] for more information.
+See [Configuring Metrics][4] in the Concourse CI documentation for more information.
 
 ```text
 Metric Emitter (Datadog):

configcat/README.md

@@ -44,7 +44,7 @@ ConfigCat integration does not include any service checks.
 
 ## Troubleshooting
 
-Need help? See the [ConfigCat documentation][6] or contact [ConfigCat support][7]
+Need help? See the [ConfigCat documentation][6] or contact [ConfigCat support][7].
 
 [1]: https://raw.githubusercontent.com/DataDog/integrations-extras/master/configcat/images/datadog_apikey.png
 [2]: https://configcat.com
@@ -56,4 +56,4 @@ Need help? See the [ConfigCat documentation][6] or contact [ConfigCat support][7
 [8]: https://www.datadoghq.com
 [9]: https://docs.datadoghq.com/account_management/api-app-keys/#api-keys
 [10]: https://app.configcat.com/product/integrations
-[11]: https://github.com/configcat
+[11]: https://github.com/configcat

contrastsecurity/README.md

@@ -6,9 +6,9 @@ The Datadog-Contrast integration allows you to get your Contrast logs into Datad
 
 ## Setup
 
-### Log Collection
+### Log collection
 
-Enable logs collection for Datadog Agent in `/etc/datadog-agent/datadog.yaml` on Linux platforms. On other platforms, refer to the [Agent Configuration Files guide][1] for the location of your configuration file:
+Enable logs collection for Datadog Agent in `/etc/datadog-agent/datadog.yaml` on Linux platforms. On other platforms, see the [Agent Configuration Files guide][1] for the location of your configuration file:
 
 ```yaml
 logs_enabled: true
@@ -32,7 +32,7 @@ For more information on logs, see the [Contrast Security documentation][2].
 
 For more information, see the:
 - [Datadog Logs documentation][4]
-- [Datadog API documentation for creating a dashboard][5]
+- [Datadog Dashboards API][5]
 
 ## Data Collected
 
@@ -52,5 +52,5 @@ The Contrast integration does not include any service checks.
 [1]: https://docs.datadoghq.com/agent/guide/agent-configuration-files/
 [2]: https://docs.contrastsecurity.com/
 [3]: https://docs.datadoghq.com/agent/guide/agent-commands/#restart-the-agent
-[4]: https://docs.datadoghq.com/logs/log_collection/#getting-started-with-the-agent
+[4]: https://docs.datadoghq.com/logs/log_collection/
 [5]: https://docs.datadoghq.com/api/#create-a-dashboard

convox/README.md

@@ -8,7 +8,7 @@ Get metrics from Convox in real-time to visualize your containers' performance:
 
 ## Setup
 
-Please refer to the [Convox setup doc page][2].
+See the Convox documentation to [set up Datadog][2].
 
 ### Deploy the Datadog Agent
 
@@ -30,7 +30,7 @@ Use a `count` that matches the `InstanceCount` parameter of your Rack.
 
 ### Auto scaling
 
-If autoscaling is enabled on your Rack, you'll need to dynamically scale the Datadog agent count to match the Rack instance count.
+If autoscaling is enabled on your Rack, you need to dynamically scale the Datadog Agent count to match the Rack instance count.
 
 See the [Listening for ECS CloudWatch Events Tutorial][3] for guidance.
 

embrace_mobile/README.md

@@ -2,8 +2,6 @@
 
 ## Overview
 
-### What is Embrace?
-
 [Embrace][1] is a mobile observability and data platform that empowers mobile teams to deliver optimal user experiences for 
 performance optimization, issue prioritization and remediation, and monitoring across features, releases, and custom 
 segments. At its core, Embrace turns complex mobile data into action. By collecting comprehensive session-level data for
@@ -12,21 +10,18 @@ each and every user experience, Embrace extracts powerful insights to fuel your
 After app installation, Embrace provides dashboards that track key mobile health metrics. For any regression, you can inspect 
 the full details of every affected user session without having to manually reproduce it. 
 
-
 ## Setup
 
-1. Start a free trial with Embrace and follow our [documentation here][2]. **You’ll need to 
-   follow this documentation before seeing metrics in Datadog.**
+1. Start a free trial and follow the [Embrace documentation][2]. **You need to follow this documentation before seeing metrics in Datadog.**
 1. After completing setup of the Embrace integration, navigate back to Datadog to connect both platforms.
 1. Authenticate and connect your Embrace account to Datadog by logging in with your credentials.
 1. Create a New Dashboard in Datadog. Select the Embrace widget to display Embrace data with crash or networking metrics.
 1. Click into “Details” to dive deeper into Embrace from Datadog.
 
 ## Support
-For support or questions, contact [Datadog support][3].
 
-Additional Embrace documentation is available [here][2].
+Need help? Contact [Datadog support][3].
 
 [1]: https://embrace.io
 [2]: https://embrace.io/docs/
-[3]: https://www.datadoghq.com/support/
+[3]: https://docs.datadoghq.com/help/

fairwinds_insights/README.md

@@ -8,7 +8,7 @@ Fairwinds Insights uncovers issues in your Kubernetes clusters related to Securi
 
 ## Setup
 
-You'll need to have an account at insights.fairwinds.com to use this app. You can also sign up for Fairwinds
+You need to have an account at insights.fairwinds.com to use this app. You can also sign up for Fairwinds
 Insights in the Datadog Marketplace.
 
 Once your account is set up, you can add this app to any Datadog dashboard.

fairwinds_insights/manifest.json

@@ -13,7 +13,7 @@
         "overview": "README.md#Overview",
         "configuration": "README.md#Setup",
         "support": "README.md#Support",
-        "description": "Fairwinds Insights protects and optimizes your mission-critical Kubernetes applications",
+        "description": "Protects and optimizes your mission-critical Kubernetes applications",
         "title": "Fairwinds Insights",
         "media": [
             {

federatorai/README.md

@@ -13,9 +13,9 @@ Using advanced machine learning algorithms to predict application workloads, Fed
 * Multicloud cost analysis and recommendations based on workload predictions for Kubernetes clusters and VM clusters
 * Actual cost and potential savings based on recommendations for clusters, Kubernetes applications, VMs, and Kubernetes namespaces
 
-By integrating with ProphetStor Federator.ai, you can track and predict the resource usages of Kubernetes containers, namespaces, and cluster nodes to make the right recommendations to prevent costly over-provisioning or performance-impacting under-provisioning. With easy integration to CI/CD pipeline, Federator.ai enables continuous optimization of containers whenever they are deployed in a Kubernetes cluster. Utilizing application workload predictions, Federator.ai auto-scales application containers at the right time and optimizes performance with the right number of container replicas through Kubernetes HPA or [Datadog Watermark Pod Autoscaling (WPA)][3].
+By integrating with ProphetStor Federator.ai, you can track and predict the resource usages of Kubernetes containers, namespaces, and cluster nodes to make the right recommendations to prevent costly over-provisioning or performance-impacting under-provisioning. With easy integration to CI/CD pipeline, Federator.ai enables continuous optimization of containers whenever they are deployed in a Kubernetes cluster. Using application workload predictions, Federator.ai auto-scales application containers at the right time and optimizes performance with the right number of container replicas through Kubernetes HPA or [Datadog Watermark Pod Autoscaling (WPA)][3].
 
-For additional information on Federator.ai, refer to the [ProphetStor Federator.ai Feature Demo][2] and [ProphetStor Federator.ai for Datadog][14] videos.
+For additional information on Federator.ai, see the [ProphetStor Federator.ai Feature Demo][2] and [ProphetStor Federator.ai for Datadog][14] videos.
 
 
 **ProphetStor Federator.ai Cluster Overview**
@@ -231,7 +231,7 @@ For additional information on Federator.ai, refer to the [ProphetStor Federator.
 
 	![Add Cluster Window][4] 
 
-3. Refer to the [Federator.ai - Installation and Configuration Guide][6] and [User Guide][5] for more details. 
+3. See the [Federator.ai - Installation and Configuration Guide][6] and [User Guide][5] for more details. 
 
 
 ## Data Collected

filebeat/README.md

@@ -31,7 +31,7 @@ For Agent v7.21+ / v6.21+, follow the instructions below to install the Filebeat
 
 ## Validation
 
-[Run the Agent's `status` subcommand][10] and look for `filebeat` under the Checks section.
+Run the [Agent's status subcommand][10] and look for `filebeat` under the Checks section.
 
 ## Data Collected
 

flagsmith/README.md

@@ -18,17 +18,18 @@ The Flagsmith integration does not include any metrics.
 
 ### Service Checks
 
-Flagsmith does not include any service checks.
+The Flagsmith integration does not include any service checks.
 
 ### Events
 
-All events are sent to the Datadog event stream.
+All Flagsmith events are sent to the Datadog event stream.
 
 ## Troubleshooting
 
-Need help? Check out the [Flagsmith documentation](https://docs.flagsmith.com/integrations/datadog/) or [contact Datadog Support][4].
+Need help? See the [Flagsmith documentation][4] or contact [Datadog Support][5].
 
 [1]: https://www.flagsmith.com/
 [2]: https://app.datadoghq.com/account/settings#integrations/flagsmith
 [3]: https://app.datadoghq.com/organization-settings/api-keys
-[4]: https://docs.datadoghq.com/help/
+[4]: https://docs.flagsmith.com/integrations/datadog/
+[5]: https://docs.datadoghq.com/help/