From 9f6717016e663ddf2eb23716b60ad53ec0a7c76d Mon Sep 17 00:00:00 2001 From: FeynmanZhou Date: Wed, 17 Jun 2020 17:44:19 +0800 Subject: [PATCH] update the hands-on lab link, add service mesh video Signed-off-by: FeynmanZhou --- content/en/devops/_index.md | 8 ++++---- content/en/observability/_index.md | 8 ++++---- content/en/service-mesh/_index.md | 10 +++++----- 3 files changed, 13 insertions(+), 13 deletions(-) diff --git a/content/en/devops/_index.md b/content/en/devops/_index.md index d8f617ec5..8dc5f66aa 100644 --- a/content/en/devops/_index.md +++ b/content/en/devops/_index.md @@ -22,7 +22,7 @@ section2: - content: Integrate SonarQube to implement source code quality analysis - content: Support dependency cache to accelerate build and deployment - content: Provide dynamic build agents to automatically spin up Pods as necessary - + - title: Built-in Automated Toolkits image: /images/devops/Built-in-automated-toolkits.svg contentList: @@ -30,7 +30,7 @@ section2: - content: Binary-to-image is the bridge between your artifact and a runnable image - content: Support automatically building and pushing images to any registry, and finally deploy them to Kubernetes - content: Provide excellent recoverability and flexibility as you can rebuild and rerun S2I / B2I whenever a patch is needed - + - title: Use GitOps to implement DevOps, not just culture image: /images/devops/Clear-insight.svg contentList: @@ -46,7 +46,7 @@ section3: image: /images/service-mesh/15.jpg content: Want to get started in action by following the hands-on lab? btnContent: Start Hands-on Lab - link: + link: https://kubesphere.io/docs/installation/install-devops/ bgLeft: /images/service-mesh/3-2.svg bgRight: /images/service-mesh/3.svg ---- \ No newline at end of file +--- diff --git a/content/en/observability/_index.md b/content/en/observability/_index.md index 3d6fd98f0..e92d031f2 100644 --- a/content/en/observability/_index.md +++ b/content/en/observability/_index.md @@ -22,7 +22,7 @@ section2: - content: Resource usage ranking by node, workspace and project - content: Service component monitoring for users to quickly locate component failures - content: Custom metrics support includes application custom metrics dashboard (in v3.0.0) - + - title: Log Query and Collection image: /images/observability/log-query-and-collection.png contentList: @@ -30,7 +30,7 @@ section2: - content: Multi-level log queries include projects, workloads, Pods, containers and keywords, supporting drilling into each level to locate the issues - content: Support multiple log collection platforms, such as Elasticsearch, Kafka and Fluentd - content: Service component monitoring for users to quickly locate component failures - + - title: Flexible Alerting and Notification image: /images/observability/flexible-alerting-and-notification.png contentList: @@ -45,7 +45,7 @@ section3: image: /images/service-mesh/15.jpg content: Want to get started in action by following the hands-on lab? btnContent: Start Hands-on Lab - link: + link: https://kubesphere.io/docs/installation/intro/ bgLeft: /images/service-mesh/3-2.svg bgRight: /images/service-mesh/3.svg ---- \ No newline at end of file +--- diff --git a/content/en/service-mesh/_index.md b/content/en/service-mesh/_index.md index 78aa0c5e6..629de537f 100644 --- a/content/en/service-mesh/_index.md +++ b/content/en/service-mesh/_index.md @@ -23,12 +23,12 @@ section2: - content: Blue-green deployment allows the new version of the application to be deployed in the green environment and tested for functionality and performance - content: Traffic mirroring enables teams to bring changes to production with as few risks as possible - content: Circuit breakers allow users to set limits for calls to individual hosts within a service - + - title: Visualization image: /images/service-mesh/visualization.png summary: Observability is extremely useful in understanding cloud-native microservice interconnections. KubeSphere has the ability to visualize the connections between microservices and the topology of how they interconnect. contentList: - + - title: Distributed Tracing image: /images/service-mesh/distributed-tracing.png summary: Based on Jaeger, KubeSphere enables users to track how each service interacts with other services. It brings a deeper understanding about request latency, bottlenecks, serialization and parallelism via visualization. @@ -36,10 +36,10 @@ section2: section3: title: See KubeSphere Service Mesh In Action - image: /images/service-mesh/15.jpg + videoLink: https://www.youtube.com/embed/EkGWtwcsdE4 content: Want to get started in action by following the hands-on lab? btnContent: Start Hands-on Lab - link: + link: https://kubesphere.io/docs/installation/install-servicemesh/ bgLeft: /images/service-mesh/3-2.svg bgRight: /images/service-mesh/3.svg ---- \ No newline at end of file +---