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Inaki Fernandez
2020-05-15 16:22:40 +02:00
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docs/jvm-parameters-matrix-table.md
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| **JVM Parameter** | **Enable?** | **References / Details** |
| --- | --- | --- |
| :--- | :--- | :--- |
| -XX:+UseG1GC | Enabled by default in Java 8u191+ | Most important defaults specific to G1 and their default values.<br/> https://dzone.com/articles/choosing-the-right-gc<br/> https://wiki.openjdk.java.net/display/HotSpot/G1GC+Feedback<br/> Alternative: Shenandoah GC |
| -XX:+UseShenandoahGC | Alternative to G1GC. | Shenandoah Garbage Collector: experimental in Java 8, newer than G1GC, available in some OpenJDK 8 and newer releases.<br/> https://wiki.openjdk.java.net/display/shenandoah/Main <br/> https://dzone.com/articles/7-jvm-arguments-of-highly-effective-applications-1 |
| -XX:+UseZGC | Yes (JDK 11+) | Z GC : Better Garbage Collector Algorithm than G1 or Shenandoah. JDK 11+ required.<br/> The Z Garbage Collector, also known as ZGC, is a scalable low latency garbage collector designed to meet the following goals:<br/> · Pause times do not exceed 10ms (*)<br/> · Pause times do not increase with the heap or live-set size<br/> · Handle heaps ranging from a 8MB to 16TB in size<br/> At a glance, ZGC is:<br/> · Concurrent<br/> · Region-based<br/> · Compacting<br/> · NUMA-aware<br/> · Using colored pointers<br/> · Using load barriers<br/> At its core, ZGC is a concurrent garbage collector, meaning all heavy lifting work is done while Java threads continue to execute. This greatly limits the impact garbage collection will have on your application's response time.<br/> 7 JVM Arguments of Highly Effective Applications<br/> https://wiki.openjdk.java.net/display/zgc/Main |

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docs/matrix-table.md
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# Kubernetes solutions or installers matrix table
| PaaS Candidate | Role | Ecosystem | Infra Provider | On-Premise | Licence | HA | Standalone | Runs in Docker | Ingress + Storage <br/>included | Automated <br/>Deployment | Details | URL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| kubeadm | SRE / DevOps | Kubernetes Upstream | Multi platform | Yes | OSS | Yes | No | No | No | No | Official kubernetes deployment tool | https://github.com/kubernetes/kubeadm |
| Ansible Role with kubeadm | SRE / DevOps | Kubernetes Upstream | Virtual Machine | Yes | OSS | Yes | Yes | No | Yes (storage?) | No | Ansible role for kubeadm automation | https://github.com/geerlingguy/ansible-role-kubernetes |
| kops | SRE / DevOps | Kubernetes Upstream | AWS | No | OSS | Yes | No | No | Yes | Yes | AWS compliant, alpha release <br/>for other providers | https://github.com/kubernetes/kops |

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docs/message-queue.md
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[![AMQ in a nutshell](images/AMQ.png)](https://developers.redhat.com/products/amq/overview)
Product|Also Known As|Components|URL
:------|:----|:--------:|----:
:------|:----|:--------|:----
Red Hat AMQ 6|JBoss AMQ 6|Apache ActiveMQ|[Ref](https://access.redhat.com/documentation/en-us/red_hat_amq/6.3/)
Red Hat AMQ 7|JBoss AMQ 7 (Broker) or Red Hat AMQ 7 Suite|AMQ Broker + AMQ Streams|[Ref](https://access.redhat.com/documentation/en-us/red_hat_amq/6.3/)
Red Hat AMQ 7|JBoss AMQ 7 (Broker) or Red Hat AMQ 7 Suite|JBoss AMQ 7 (Broker) + Apache Kafka|[Ref](https://access.redhat.com/documentation/en-us/red_hat_amq/6.3/)

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docs/monitoring.md
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OpenShift Container Platform Monitoring ships with a Prometheus instance for cluster monitoring and a central Alertmanager cluster. In addition to Prometheus and Alertmanager, OpenShift Container Platform Monitoring also includes a [Grafana](https://grafana.com/) instance as well as pre-built dashboards for cluster monitoring troubleshooting. **The Grafana instance that is provided with the monitoring stack, along with its dashboards, is read-only.**
| Monitoring Component | Release | URL |
| :----------------------- | :-----------------: | -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| :----------------------- | :----------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| ElasticSearch | 5 | [OpenShift 3.11 Metrics & Logging](https://docs.openshift.com/container-platform/3.11/release_notes/ocp_3_11_release_notes.html#ocp-311-metrics-and-logging) |
| Fluentd | 0.12 | [OpenShift 3.11 Metrics & Logging](https://docs.openshift.com/container-platform/3.11/release_notes/ocp_3_11_release_notes.html#ocp-311-metrics-and-logging) |
| Kibana | 5.6.13 | [kibana 5.6.13](https://www.elastic.co/guide/en/kibana/5.6/introduction.html) |
@@ -99,7 +99,7 @@ OpenShift Cluster Monitoring components cannot be extended since they are read o
[Monitor your own services (technology preview)](https://docs.openshift.com/container-platform/4.3/release_notes/ocp-4-3-release-notes.html): The existing monitoring stack can be extended so you can configure monitoring for your own Services.
| Monitoring Component | Deployed By Default | OCP 4.1 | OCP 4.2 | OCP 4.3 | OCP 4.4 |
| :----------------------- | :-----------------: | :------: | :-----: | :-----: | ------: |
| :----------------------- | :-----------------: | :------ | :----- | :----- | :----- |
| ElasticSearch | No | 5.6.13.6 | | | |
| Fluentd | No | 0.12.43 | | | |
| Kibana | No | 5.6.13 | | | |
@@ -280,7 +280,7 @@ Although it's exciting to see attempts to address the challenges of running Prom
* [Prometheus Monitoring With Grafana. Prometheus Stats Dashboard and Prometheus Benchmark Dashboard](https://dzone.com/articles/prometheus-monitoring-with-grafana). How you construct your Prometheus monitoring dashboard involves trial and error. Grafana makes this exploration very easy and Prometheus has good built-in functionality.
Monitored Component|Collector|Dashboard Number|URL
:------------------|:-------:|:---------------:|------------:
:------------------|:-------|:---------------|------------
ActiveMQ 5.x "classic"|[Telegraf](https://www.influxdata.com/time-series-platform/telegraf/)|[10702](https://grafana.com/grafana/dashboards/10702)|[Ref1](https://docs.wavefront.com/activemq.html), [Ref2](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/activemq), [Ref3](https://github.com/prometheus/jmx_exporter/blob/master/example_configs/activemq.yml), [Ref4](https://stackoverflow.com/questions/57107282/prometheus-and-activemq-integration)
ActiveMQ Artemis/Red Hat AMQ Broker|[JMX Exporter](https://github.com/prometheus/jmx_exporter)|[9087](https://grafana.com/grafana/dashboards/9087)|[Ref1](https://github.com/prometheus/jmx_exporter/blob/master/example_configs/artemis-2.yml), [Ref2](http://techiekhannotes.blogspot.com/2018/12/artemis-monitoring-with-grafana.html), [Ref3](https://github.com/rh-messaging/artemis-prometheus-metrics-plugin)
Message Streams like Kafka/Red Hat AMQ Streams|Other|[9777](https://grafana.com/grafana/dashboards/9777)|
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* We can now see metrics displayed on Grafana and Artemis Dashboard:
JMeter|Artemis Grafana|Artemis Dashboard
:-------:|:---------:|:-------:
![jmeter artemis](images/jmeter_artemis.png)|![artemis grafana](images/artemis_grafana.png)|![artemis dashboard monitoring](images/artemis_dashboard_mon.png)
:-------|:---------:|-------:
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## Message Queue Monitoring
Messaging Solution|Monitoring Solution|URL
:-------|:-------:|-----:
:-------|:-------|:-----
ActiveMQ 5.8.0+|[Dynatrace](https://www.dynatrace.com)|[ref](https://www.dynatrace.com/support/help/technology-support/application-software/other-technologies/supported-out-of-the-box/activemq/)
ActiveMQ Artemis|[Micrometer Collector](https://micrometer.io/) + Prometheus|[ref1](http://activemq.apache.org/components/artemis/documentation/latest/metrics.html), [ref2](https://micrometer.io/docs/registry/prometheus)
IBM MQ|[IBM MQ](https://github.com/ibm-messaging) Exporter for Prometheus|[ref](https://github.com/ibm-messaging/mq-metric-samples/tree/master/cmd/mq_prometheus)

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docs/openshift.md
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* [Red Hat's approach to Kubernetes 🌟](https://www.redhat.com/en/topics/containers/kubernetes-approach)
Reference | Author | URL
:---------|:-------------:|-------------:
:---------|:-------------|:-------------
"Given the difficulty of navigating the cloud-native ecosystem, especially the one around Kubernetes, **there is a high demand for easy-to-administer development platforms** that deliver applications in Kubernetes-managed containers."| OMDIA|[Red Hat's approach to Kubernetes](https://www.redhat.com/en/topics/containers/kubernetes-approach)
Industry momentum has aligned behind Kubernetes as the orchestration platform for Linux® containers. Choosing Kubernetes means you’ll be running the de facto standard regardless of which cloud environments and providers are in your future.|CNCF Survey 2019|[Red Hat's approach to Kubernetes](https://www.redhat.com/en/topics/containers/kubernetes-approach)
“It's not just enough to do Kubernetes. You do need to do CI/CD. You need to use alerting. You need to understand how the security model of the cloud and your applications interplay.”|Clayton Coleman,Senior Distinguished Engineer, Red Hat|[Red Hat's approach to Kubernetes](https://www.redhat.com/en/topics/containers/kubernetes-approach)