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cluster-addons: enable Jemalloc for Fluentd based images
**What this PR does / why we need it**:
This Pull Request includes two patches that enable the recommended use of Jemalloc memory allocator for container images that are based in Fluentd. The patches applies to the following cluster-addons:
- fluentd-es-image
- fluentd-gcp-image
**Which issue this PR fixes**
This PR is part of the solution for issues:
- kubernetes/kubernetes/issues/32762
- GoogleCloudPlatform/fluent-plugin-google-cloud/issues/87
When Fluentd runs in high load environments, it's likely the default operating system memory allocator will generate a high fragmentation ending up in a high memory usage. In order to reduce fragmentation and decrease memory usage an alternative memory allocator as Jemalloc is used.
For the record: fluentd-es-image uses [td-agent](https://docs.treasuredata.com/articles/td-agent) Fluentd package maintained by Treasure Data, which contains Jemalloc 4.2.1 (latest stable version). The google-fluentd package used in fluentd-gcp-image comes with Jemalloc 2.2.5, which have many known issues, I strongly suggest google-fluentd package gets updated.
**Special notes for your reviewer**:
In the research of this topic have been involved @piosz and @Crassirostris.
Automatic merge from submit-queue
Update elasticsearch and kibana usage
```release-note
Updated default Elasticsearch and Kibana used for elasticsearch logging destination to versions 2.4.1 and 4.6.1 respectively.
```
Updated controllers for elasticsearch and kibana to use newer versions of images. Fixed e2e test because of elasticsearch backward incompatible API changes.
Fixed out of sync elasticsearch controller for coreos.
@piosz
The current DockerFile build an image using td-agent package but it let
the service run with the default memory allocator provided by glibc.
In high load environments, is highly required to use a customized memory
allocator such as Jemalloc. Otherwise the service will face a high memory
fragmentation ending up in 'high memory' usage from a monitoring perspective.
td-agent package by default install Jemalloc and set the LD_PRELOAD
environment variable through it init script, but since the service is
launched through Docker the env variable needs to be set manually.
After this patch, when running td-agent container image now is possible
to see that Jemalloc is used:
root@monotop:/proc/18810# cat maps |grep jemall
7f251eddd000-7f251ee1b000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2
7f251ee1b000-7f251f01b000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2
7f251f01b000-7f251f01d000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2
7f251f01d000-7f251f01e000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2
For a reference about the memory usage difference between malloc v/s jemalloc
please refer to the following chart:
https://goo.gl/dVYTmw
Signed-off-by: Eduardo Silva <eduardo@treasure-data.com>
Automatic merge from submit-queue
Elasticsearch and Kibana update
```release-note
Updated Elasticsearch image from version 1.5.1 to version 2.4.1. Updated Kibana image from version 4.0.2 to version 4.6.1.
```
Updated es and kibana images. Made image versions match es/kibana versions they contain.
ref #19149
We can then avoid the following warning:
```
WARNING: The '--' argument must be specified between gcloud specific args on the left and DOCKER_ARGS on the right. IMPORTANT: previously, commands allowed the omission of the --, and unparsed arguments were treated as implementation args. This usage is being deprecated and will be removed in March 2017.
This will be strictly enforced in March 2017. Use 'gcloud beta docker' to see new behavior.
```
Signed-off-by: Jess Frazelle <acidburn@google.com>
I didn't expect glog to split single log statements onto multiple lines,
but apparently it does if they're long enough. This groups them back
together appropriately.
This scopes down the initially ambitious PR:
https://github.com/kubernetes/kubernetes/pull/14960 to replace just
`pause` and `fluentd-elasticsearch` to come through `beta.gcr.io`.
The v2 versions have been pushed under new tags, `pause:2.0` and
`fluentd-elastisearch:1.12`.
NOTE: `beta.gcr.io` will still serve images using v1 until they are repushed with v2. Pulls through `gcr.io` will still work after pushing through `beta.gcr.io`, but will be served over v1 (via compat logic).
Kubernetes Submit Queue
