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{
  "id": "iperf3-test",
  "description": "iperf3 network test",
  "labels": {},
  "run": {
    "cpus": 1,
    "mem": 128,
    "disk": 0,
    "env": {
      "IPERF_MODE": "client",

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{
  "datapoints":[
    {"name":"cpus.limit","value":1.1,"unit":"count","timestamp":"2017-07-20T02:00:34.11517831Z","tags":{"container_id":"e6c0b967-fa45-42f1-8b2c-d979f1ddf8bf","executor_id":"ceph.mon.598f9b7e-3931-4b39-86e7-1b4607001ea7","executor_name":"Command Executor (Task: ceph.mon.598f9b7e-3931-4b39-86e7-1b4607001ea7) (Command: sh -c '\necho \"$CEPH...')","framework_id":"ab856169-0aa1-4d11-ae56-0da524f8b70b-0012","source":"ceph.mon.598f9b7e-3931-4b39-86e7-1b4607001ea7"}},
    {"name":"cpus.throttled.time","value":0,"unit":"seconds","timestamp":"2017-07-20T02:02:34.412170697Z","tags":{"container_id":"e6c0b967-fa45-42f1-8b2c-d979f1ddf8bf","executor_id":"ceph.mon.598f9b7e-3931-4b39-86e7-1b4607001ea7","executor_name":"Command Executor (Task: ceph.mon.598f9b7e-3931-4b39-86e7-1b4607001ea7) (Command: sh -c '\necho \"$CEPH...')","framework_id":"ab856169-0aa1-4d11-ae56-0da524f8b70b-0012","source":"ceph.mon.598f9b7e-3931-4b39-86e7-1b4607001ea7"}    },
    {"name":"net.tx.errors","value":0,"unit":"count","timesta

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{
  "id": "/drake/volumetest",
  "backoffFactor": 1.15,
  "backoffSeconds": 1,
  "constraints": [
    [
      "hostname",
      "LIKE",
      "192.10.250.234"
    ]

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tadpole_1  | 2017-12-01 08:38:59,033 ERROR - TadpoleSystem_UserQuery : saveLoginHistory save login history 
tadpole_1  | com.ibatis.common.jdbc.exception.NestedSQLException:   
tadpole_1  | --- The error occurred in com/hangum/tadpole/engine/query/internal/system/Tadpole-System-Common.xml.  
tadpole_1  | --- The error occurred while executing update.  
tadpole_1  | --- Check the   INSERT INTO login_history(user_seq, login_ip, succes_yn, fail_reason)   VALUES (?, ?, ?, ?); .  
tadpole_1  | --- Check the SQL Statement (preparation failed).  
tadpole_1  | --- Cause: java.sql.SQLException: [SQLITE_ERROR] SQL error or missing database (no such table: login_history)
tadpole_1  | 	at com.ibatis.sqlmap.engine.mapping.statement.MappedStatement.executeUpdate(MappedStatement.java:107)
tadpole_1  | 	at com.ibatis.sqlmap.engine.impl.SqlMapExecutorDelegate.insert(SqlMapExecutorDelegate.java:393)
tadpole_1  | 	at com.ibatis.sqlmap.engine.impl.SqlMapSessionImpl.insert(SqlMapSessionImpl.java:82)

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build

• Get source

$ go get -u github.com/cendhu/fetch-block

• Get govendor

$ go get -u github.com/kardianos/govendor

• build

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{
  "id": "/mw/memory-stat",
  "cpus": 1,
  "mem": 2048,
  "instances": 1,
  "container": {
    "type": "DOCKER",
    "docker": {
      "forcePullImage": true,
      "image": "harbor.ajway.kr/middleware/mw:1.0",

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Papers (and articles) for the Container Technologies

For own self-education purpose

Containers

1. TBD
2. Docker: Lightweight Linux Containers for Consistent Development and Deployment, Dirk Merkel, Linux Journal, March 2014
3. Networking in Containers and Container Clusters, Victor Marmol, Rohit Jnagal, and Tim Hockin, netdev 0.1, Feb 14-17, 2015

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Custom S3 endpoints with Spark

To be able to use custom endpoints with the latest Spark distribution, one needs to add an external package (hadoop-aws). Then, custum endpoints can be configured according to docs.

Use the hadoop-aws package

bin/spark-shell --packages org.apache.hadoop:hadoop-aws:2.7.2

SparkContext configuration

minyk

---
apiVersion: apps/v1beta2
kind: Deployment
metadata:
  name: guestbook-back
spec:
  replicas: 1
  selector:
    matchLabels:
      type: app

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apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
  name: kubernetes-dashboard
  namespace: kube-system
spec:
  rules:
  - host: dashboard.192.168.100.12.nip.io
    http:
      paths: