SlideShare une entreprise Scribd logo
1  sur  21
Télécharger pour lire hors ligne
Cloudera	
  Manager	
  –	
  API’s	
  &	
  
Extensibility	
  	
  
Ma#	
  Harris	
  –	
  Systems	
  Engineer	
  
December	
  2013	
  
	
  

1

CONFIDENTIAL	
  -­‐	
  RESTRICTED	
  
Cloudera	
  Manager	
  
End-­‐to-­‐End	
  AdministraGon	
  for	
  CDH	
  

1
Monitor	
  
2
Diagnose	
  
3
Integrate	
  
4
Manage	
  

Easily	
  deploy,	
  configure	
  &	
  opGmize	
  clusters	
  

Maintain	
  a	
  central	
  view	
  of	
  all	
  acGvity	
  

Easily	
  idenGfy	
  and	
  resolve	
  issues	
  

Use	
  Cloudera	
  Manager	
  with	
  exisGng	
  tools	
  

2

©2013	
  Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  
IntegraGng	
  with	
  your	
  IT	
  Mgmt	
  tools	
  
Datacenter	
  Opera*ons	
  

Various	
  op*ons	
  of	
  integra*ng	
  Cloudera	
  Manager	
  into	
  your	
  exis*ng	
  
Installa;on,	
  
Datacenter	
  Opera*ons/Tools	
  Monitoring	
  
Deployment	
  
Aler;ng	
  
Tools	
  
tools	
  
Tools	
  
e.g.	
  Orion,	
  	
  
•  Cloudera	
  Manager	
  API	
  
e.g.	
  Chef,	
  
e.g	
  Nagios,	
  
Tivoli,	
  BMC	
  
Puppet	
  etc.	
  
SNMP	
  etc.	
  
•  Introduced	
  in	
  CM4	
  (June	
  2etc.	
  
012)	
  
	
  
•  Installa*on	
  &	
  deployment	
  
•  Monitoring	
  
•  SNMP	
  Alerts	
  
•  Introduced	
  in	
  CM4.5	
  (Feb	
  2013)	
  
•  Hadoop	
  Opera*ons	
  
And	
  more…	
  
Cloudera	
  
•  Monitoring	
  ‘tsquery’	
  (Feb	
  2013)	
  
Manager	
  
•  User-­‐defined	
  triggers/alarms	
  (new	
  for	
  C5!)	
  
•  Service	
  extensibility	
  (new	
  for	
  C5!)	
  

3

©2013	
  Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  
Cloudera	
  Manager	
  (CM)	
  API	
  
	
  
• 

• 

	
  
	
  

4

API	
  access	
  was	
  a	
  new	
  feature	
  introduced	
  in	
  Cloudera	
  Manager	
  4.0,	
  providing	
  programmaGc	
  access	
  to	
  
cluster	
  operaGons	
  (such	
  as	
  configuraGon	
  and	
  restart)	
  and	
  monitoring	
  informaGon	
  (such	
  as	
  health	
  and	
  
metrics).	
  	
  
The	
  CM	
  API	
  is	
  an	
  HTTP	
  REST	
  API,	
  using	
  JSON	
  serializaGon.	
  The	
  API	
  is	
  served	
  on	
  the	
  same	
  host	
  and	
  port	
  as	
  
the	
  CM	
  web	
  UI,	
  and	
  does	
  not	
  require	
  an	
  extra	
  process	
  or	
  extra	
  configuraGon.	
  API	
  users	
  have	
  the	
  same	
  
privileges	
  as	
  they	
  do	
  in	
  the	
  web	
  UI	
  world.	
  
•  Docs	
  &	
  Examples	
  
h#p://cloudera.github.io/cm_api/	
  
h#ps://github.com/cloudera/cm_api	
  
•  Java/Python	
  clients	
  
h#p://blog.cloudera.com/blog/2013/05/how-­‐to-­‐
automate-­‐your-­‐hadoop-­‐cluster-­‐from-­‐java/	
  
	
  
	
  

©2013Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  
Examples	
  of	
  integraGon	
  with	
  CM	
  API	
  
• 

Installa;on	
  &	
  Deployment	
  
• 
• 
• 

Chef	
  
Puppet	
  
Dell	
  Crowbar	
  
• 

• 

h#p://blog.cloudera.com/blog/2013/08/how-­‐to-­‐deploy-­‐hadoop-­‐clusters-­‐automaGcally-­‐with-­‐dell-­‐crowbar-­‐and-­‐cloudera-­‐manager/

StackIQ	
  
• 

	
  

h#p://web.stackiq.com/blog/bid/312064/StackIQ-­‐Cluster-­‐Manager-­‐now-­‐integrated-­‐with-­‐Cloudera	
  

• 

• 

• 

WANdisco	
  –	
  non-­‐stop	
  NN	
  setup	
  

Several	
  other	
  customers/partners	
  leveraging	
  the	
  API’s	
  as	
  part	
  of	
  	
  their	
  install	
  &	
  deployment	
  	
  
process	
  

Monitoring	
  &	
  Aler;ng	
  
• 
• 

Oracle	
  Enterprise	
  Manager	
  (via	
  Big	
  Data	
  Appliance)	
  
Nagios	
  
• 
• 

• 

h#ps://github.com/cloudera/cm_api/tree/master/nagios	
  
h#ps://github.com/harisekhon/nagios-­‐plugins/blob/master/
check_hadoop_cloudera_manager_metrics.pl	
  

SNMP	
  alerts	
  integraGon	
  with	
  IBM	
  Netcool	
  

Develop	
  &	
  Contribute	
  your	
  plug-­‐in’s	
  using	
  Cloudera	
  
Manager	
  API	
  	
  
5

©2013	
  Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  
Cloudera	
  Manager	
  –	
  Monitoring	
  via	
  ‘tsquery’	
  
• 

Introduced	
  as	
  part	
  of	
  CM4.5	
  	
  release	
  (Feb	
  2013)	
  

• 

Great	
  way	
  to	
  add	
  interesGng	
  	
  charts	
  (above	
  &	
  beyond	
  what	
  is	
  provided	
  by	
  default)	
  	
  and	
  monitor	
  
metrics	
  that	
  are	
  relevant	
  to	
  your	
  clusters	
  

• 

• 

The	
  tsquery	
  language	
   s	
  used	
  to	
  
	
  Manager	
  Gme-­‐series	
  diata	
  store	
   specify	
  statements	
  for	
  retrieving	
  Gme-­‐series	
  data	
  from	
  the	
  Cloudera	
  
	
  
Example:	
  How	
  do	
  I	
  compare	
  all	
  disk	
  IO	
  for	
  all	
  the	
  DataNodes	
  that	
  belong	
  to	
  a	
  specific	
  HDFS	
  service?	
  
select	
  bytes_read,	
  bytes_wriZen	
  where	
  roleType=DATANODE	
  and	
  serviceName=hdfs1	
  

• 

Retrieved	
  Gme-­‐series	
  data	
  can	
  be	
  plo#ed	
  via	
  various	
  opGons	
  –	
  line,	
  bar,	
  sca#er,	
  	
  heat	
  maps,	
  table	
  list	
  
etc.	
  

• 

Extending	
  this	
  concept	
  to	
  create	
  user-­‐defined	
  triggers/alarms	
  (new	
  for	
  C5!).	
  
	
  
More	
  details	
  
•  h#p://www.cloudera.com/content/cloudera-­‐content/cloudera-­‐docs/CM5/latest/Cloudera-­‐
Manager-­‐DiagnosGcs-­‐Guide/cm5dg_chart_Gme_series_data.html	
  

• 

6

©2013	
  Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  
Examples	
  of	
  Cloudera	
  Manager	
  ‘tsquery’	
  
Example1:	
  How	
  do	
  I	
  track	
  the	
  
	
  
aggregate	
  Cluster	
  Disk	
  IO?	
  
	
  
select	
  dt0(read_bytes_disk_sum),	
  
dt0(write_bytes_disk_sum)	
  where	
  
category	
  =	
  CLUSTER	
  and	
  clusterId	
  =	
  
$CLUSTERID	
  
Example2:	
  How	
  do	
  I	
  compare	
  CPU	
  
usage	
  across	
  hosts?	
  

select	
  dt0(total_cpu_user)	
  /	
  getHostFact(numCores,	
  1)	
  *	
  100,	
  
dt0(total_cpu_system)	
  /	
  getHostFact(numCores,	
  1)	
  *	
  100,	
  
dt0(total_cpu_nice)	
  /	
  getHostFact(numCores,	
  1)	
  *	
  100,	
  
dt0(total_cpu_iowait)	
  /	
  getHostFact(numCores,	
  1)	
  *	
  100,	
  
dt0(total_cpu_irq)	
  /	
  getHostFact(numCores,	
  1)	
  *	
  100,	
  
dt0(total_cpu_so`_irq)	
  /	
  getHostFact(numCores,	
  1)	
  *	
  100	
  

Create	
  &	
  Contribute	
  your	
  ‘tsqueries’!	
  
h#ps://github.com/cloudera/cm_charGng_scrapbook	
  
7

©2013	
  Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  
Cloudera	
  Manager	
  –	
  Service	
  Extensibility	
  
• 

Introduced	
  in	
  C5	
  
• 

SGll	
  in	
  Beta!	
  

• 

Some	
  aspects	
  (espcially	
  Parcel	
  mgmt)	
  available	
  in	
  CM4.x	
  

• 

Example:	
  CollaboraGon	
  with	
  Syncsort	
  to	
  deploy	
  DMX-­‐h	
  libraries	
  

• 

Single	
  management	
  console	
  for	
  CDH,	
  non-­‐CDH	
  services	
  and	
  ISV	
  
applicaGons	
  

• 

Similar	
  look	
  and	
  feel	
  as	
  exisGng	
  services	
  

• 

Easy	
  to	
  write	
  (Java-­‐free!)	
  

• 

Flexible	
  

• 

Independent	
  release	
  cycle	
  
©2013Cloudera, Inc. All Rights Reserved.
Analogy	
  from	
  OperaGng	
  Systems	
  (OS)	
  world	
  
	
  
	
  
ISV’s	
  view	
  of	
  OS	
  	
  

Systems	
  Management	
  
Package	
  
Mgmt	
  

Process/	
  
Resource	
  
Mgmt	
  

Security	
  
Mgmt	
  

Core	
  OS	
  kernel	
  

9

©2013Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  

Data	
  
Access	
  
Mgmt	
  
Bringing	
  ISV	
  Apps	
  to	
  CDH	
  
	
  
	
  

ISV’s	
  view	
  of	
  Hadoop	
  	
  

Cloudera	
  Manager	
  
Parcels	
  

Resource	
  	
  
Mgmt	
  

Security	
  
Mgmt	
  

CDK	
  API’s	
  

Core	
  Hadoop/CDH	
  kernel	
  

10

©2013Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  
IntegraGng	
  into	
  the	
  Cloudera	
  Product	
  Porpolio	
  
Features	
  

Examples	
  

-­‐	
  Ability	
  to	
  easily	
  package	
  and	
  distribute	
  binaries/
jars	
  via	
  “Parcels”	
  

-­‐ InformaGca	
  
-­‐ Syncsort	
  

Resource	
  
Mgmt	
  

-­‐	
  Ability	
  to	
  deploy	
  applicaGons	
  as	
  stand-­‐alone	
  
processes	
  	
  or	
  via	
  YARN*	
  on	
  the	
  Hadoop	
  grid	
  
-­‐	
  Resource	
  isolaGon	
  of	
  cluster	
  resources	
  	
  	
  

-­‐ SAS	
  
-­‐ 0xData	
  
-­‐ Accumulo	
  

Security	
  
Mgmt	
  

Cloudera	
  Manager	
  

Descrip;on	
  

Package	
  
Mgmt	
  

ISV’s	
  

-­‐  Support	
  for	
  Kerberos	
  Mgmt	
  
-­‐  Role	
  bases	
  access	
  control	
  for	
  Tables/Views	
  in	
  
Hive/Impala	
  via	
  Sentry	
  

Data	
  Access	
  
Mgmt	
  

-­‐	
  HDFS	
  and	
  HBase	
  API	
  abstracGon	
  and	
  
simplificaGon	
  

Systems	
  Mgmt	
  
Manage	
  
Monitor	
  

Non-­‐CDH	
  Apps…	
  
Accumulo,	
  
Spark,	
  Giraph	
  
etc.	
  

-­‐ Deploy	
  and	
  upgrade	
  (rolling)	
  services	
  and	
  pkgs	
  
-­‐ Manage	
  configuraGons	
  
-­‐ ProacGve	
  health	
  checks	
  
-­‐ Track	
  resource	
  uGlizaGon	
  	
  
-­‐ Custom	
  metrics	
  charts	
  

Diagnose	
  

-­‐ Distributed	
  log	
  collecGon	
  and	
  searching	
  
-­‐ Tag	
  and	
  track	
  key	
  events	
  

Integrate	
  

-­‐ Access	
  operaGonal	
  tools	
  via	
  API	
  
-­‐ Surface	
  overall	
  cluster	
  metrics	
  to	
  ISV	
  dashboard	
  	
  

*	
  Support	
  for	
  YARN	
  planned	
  as	
  part	
  of	
  CM5.x	
  in	
  FY14	
  

11

©2013Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  
So..	
  How	
  does	
  it	
  work?	
  
	
  
•  A	
  JSON	
  file	
  that	
  describes	
  your	
  service	
  
•  Set	
  of	
  control	
  scripts	
  
•  Packaged	
  as	
  a	
  JAR	
  file	
  
•  As	
  promised,	
  Java-­‐free	
  

©2013Cloudera, Inc. All Rights Reserved.
Example:	
  Cloudera	
  Manager	
  Extensions	
  -­‐	
  Spark	
  

	
  

	
  

©2013Cloudera, Inc. All Rights Reserved.
 

Cloudera	
  Manager	
  Extensions	
  
	
  

©2013Cloudera, Inc. All Rights Reserved.
Cloudera	
  Manager	
  Extensions:	
  Spark	
  

©2013Cloudera, Inc. All Rights Reserved.
Cloudera	
  Manager	
  Extensions:	
  Spark	
  

©2013Cloudera, Inc. All Rights Reserved.
Cloudera	
  Manager	
  Extensions:	
  Spark	
  

©2013Cloudera, Inc. All Rights Reserved.
The	
  Code	
  
	
  

	
  
#!/bin/bash	
  

name	
  :	
  “spark”,	
  
roles	
  :	
  [{	
  
	
  	
  	
  	
  	
  name	
  :	
  "master",	
  

CMD=$1	
  
MASTER_PORT=<read	
  in	
  from	
  ./params.proper;es>	
  

	
  	
  	
  	
  	
  startRunner	
  :	
  {	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  program	
  :	
  "scripts/control.sh",	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  args	
  :	
  [	
  	
  "start_master",	
  	
  

case	
  $CMD	
  in	
  
	
  	
  (start_master)	
  
	
  	
  exec	
  $SPARK_HOME/scripts/spark-­‐start.sh	
  master"	
  

	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  "./params.proper;es"]	
  
	
  	
  	
  	
  	
  	
  	
  },	
  

	
  	
  	
  	
  ;;	
  

	
  	
  	
  	
  	
  	
  	
  parameters	
  :	
  [{	
  

	
  	
  	
  (*)	
  
	
  	
  	
  	
  echo	
  "$;mestamp	
  Don't	
  understand	
  [$CMD]"	
  

	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  name	
  :	
  "master_port",	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  type	
  :	
  "port",	
  

	
  	
  	
  	
  ;;	
  
esac	
  

	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  default	
  :	
  7077	
  
	
  	
  	
  	
  	
  	
  	
  	
  }],	
  
	
  	
  	
  	
  	
  	
  	
  configWriter	
  :	
  {	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  generators	
  :	
  [{	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  filename	
  :	
  "params.proper;es"	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  }]	
  
}]	
  

©2013Cloudera, Inc. All Rights Reserved.
Next	
  Steps	
  
•  DocumentaGon	
  &	
  SDK	
  as	
  part	
  of	
  C5	
  Beta2	
  
or	
  later	
  (definitely	
  before	
  GA!)	
  
•  Working	
  with	
  select	
  ISV’s	
  (SAS,	
  Syncsort,	
  
0xData	
  etc.)	
  as	
  part	
  of	
  Beta	
  to	
  further	
  fine-­‐
tune	
  this	
  feature	
  
	
  

Develop	
  &	
  Contribute	
  your	
  	
  Cloudera	
  Manager	
  service	
  
extensibility	
  plug-­‐in’s	
  !	
  
©2013Cloudera, Inc. All Rights Reserved.
Horizontal Extension

Security
ISV’s

0xData

SAS

Syncsort

Informatica

Revolution

API

Ops Apps
Capacity
Mgr

Service Extensibility

Vertical Extension

Vision	
  of	
  CM	
  Extensibility	
  

SLA Mgr

Cost
Optimizer

CDH

CM
SNMP API

Oracle
OEM

20

Nagios

Dell

Chef/
Puppet

©2012Cloudera,	
  Inc.	
  All	
  Rights	
  Reserved.	
  

Accumulo

Spark

Giraph
Q&A	
  

©2013Cloudera, Inc. All Rights Reserved.

Contenu connexe

Tendances

How to implement a gdpr solution in a cloudera architecture
How to implement a gdpr solution in a cloudera architectureHow to implement a gdpr solution in a cloudera architecture
How to implement a gdpr solution in a cloudera architectureTiago Simões
 
SCasia 2018 MSFT hands on session for Azure Batch AI
SCasia 2018 MSFT hands on session for Azure Batch AISCasia 2018 MSFT hands on session for Azure Batch AI
SCasia 2018 MSFT hands on session for Azure Batch AIHiroshi Tanaka
 
Set up Hadoop Cluster on Amazon EC2
Set up Hadoop Cluster on Amazon EC2Set up Hadoop Cluster on Amazon EC2
Set up Hadoop Cluster on Amazon EC2IMC Institute
 
Charla - SharePoint en la Nube (17Jul2013)
Charla - SharePoint en la Nube (17Jul2013)Charla - SharePoint en la Nube (17Jul2013)
Charla - SharePoint en la Nube (17Jul2013)Juan Andrés Valenzuela
 
Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2
Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2
Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2Jeffrey Breen
 
OC Big Data Monthly Meetup #5 - Session 1 - Altiscale
OC Big Data Monthly Meetup #5 - Session 1 - AltiscaleOC Big Data Monthly Meetup #5 - Session 1 - Altiscale
OC Big Data Monthly Meetup #5 - Session 1 - AltiscaleBig Data Joe™ Rossi
 
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud InfrastructureSCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud InfrastructureMatt Ray
 
Apache Whirr
Apache WhirrApache Whirr
Apache Whirrhuguk
 
How to deploy spark instance using ansible 2.0 in fiware lab v2
How to deploy spark instance using ansible 2.0 in fiware lab v2How to deploy spark instance using ansible 2.0 in fiware lab v2
How to deploy spark instance using ansible 2.0 in fiware lab v2Fernando Lopez Aguilar
 
Hadoop ecosystem
Hadoop ecosystemHadoop ecosystem
Hadoop ecosystemtfmailru
 
Alfrescotomcat stderr.2013-03-05
Alfrescotomcat stderr.2013-03-05Alfrescotomcat stderr.2013-03-05
Alfrescotomcat stderr.2013-03-05NX21
 
Deploy Mediawiki Using FIWARE Lab Facilities
Deploy Mediawiki Using FIWARE Lab FacilitiesDeploy Mediawiki Using FIWARE Lab Facilities
Deploy Mediawiki Using FIWARE Lab FacilitiesFIWARE
 
Why your Spark Job is Failing
Why your Spark Job is FailingWhy your Spark Job is Failing
Why your Spark Job is FailingDataWorks Summit
 
How to operate containerized OpenStack
How to operate containerized OpenStackHow to operate containerized OpenStack
How to operate containerized OpenStackNalee Jang
 
[Open infra] how to calculate the cloud system operating rate
[Open infra] how to calculate the cloud system operating rate[Open infra] how to calculate the cloud system operating rate
[Open infra] how to calculate the cloud system operating rateNalee Jang
 

Tendances (19)

How to implement a gdpr solution in a cloudera architecture
How to implement a gdpr solution in a cloudera architectureHow to implement a gdpr solution in a cloudera architecture
How to implement a gdpr solution in a cloudera architecture
 
SCasia 2018 MSFT hands on session for Azure Batch AI
SCasia 2018 MSFT hands on session for Azure Batch AISCasia 2018 MSFT hands on session for Azure Batch AI
SCasia 2018 MSFT hands on session for Azure Batch AI
 
Set up Hadoop Cluster on Amazon EC2
Set up Hadoop Cluster on Amazon EC2Set up Hadoop Cluster on Amazon EC2
Set up Hadoop Cluster on Amazon EC2
 
Charla - SharePoint en la Nube (17Jul2013)
Charla - SharePoint en la Nube (17Jul2013)Charla - SharePoint en la Nube (17Jul2013)
Charla - SharePoint en la Nube (17Jul2013)
 
Terraform at Scale
Terraform at ScaleTerraform at Scale
Terraform at Scale
 
HiveServer2
HiveServer2HiveServer2
HiveServer2
 
Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2
Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2
Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2
 
OC Big Data Monthly Meetup #5 - Session 1 - Altiscale
OC Big Data Monthly Meetup #5 - Session 1 - AltiscaleOC Big Data Monthly Meetup #5 - Session 1 - Altiscale
OC Big Data Monthly Meetup #5 - Session 1 - Altiscale
 
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud InfrastructureSCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
 
Apache Whirr
Apache WhirrApache Whirr
Apache Whirr
 
How to deploy spark instance using ansible 2.0 in fiware lab v2
How to deploy spark instance using ansible 2.0 in fiware lab v2How to deploy spark instance using ansible 2.0 in fiware lab v2
How to deploy spark instance using ansible 2.0 in fiware lab v2
 
Azure powershell management
Azure powershell managementAzure powershell management
Azure powershell management
 
Hadoop ecosystem
Hadoop ecosystemHadoop ecosystem
Hadoop ecosystem
 
Alfrescotomcat stderr.2013-03-05
Alfrescotomcat stderr.2013-03-05Alfrescotomcat stderr.2013-03-05
Alfrescotomcat stderr.2013-03-05
 
Deploy Mediawiki Using FIWARE Lab Facilities
Deploy Mediawiki Using FIWARE Lab FacilitiesDeploy Mediawiki Using FIWARE Lab Facilities
Deploy Mediawiki Using FIWARE Lab Facilities
 
Why your Spark Job is Failing
Why your Spark Job is FailingWhy your Spark Job is Failing
Why your Spark Job is Failing
 
How to operate containerized OpenStack
How to operate containerized OpenStackHow to operate containerized OpenStack
How to operate containerized OpenStack
 
Apache Whirr
Apache WhirrApache Whirr
Apache Whirr
 
[Open infra] how to calculate the cloud system operating rate
[Open infra] how to calculate the cloud system operating rate[Open infra] how to calculate the cloud system operating rate
[Open infra] how to calculate the cloud system operating rate
 

En vedette

Cloudera User Group Chicago - The Future of Data
Cloudera User Group Chicago - The Future of DataCloudera User Group Chicago - The Future of Data
Cloudera User Group Chicago - The Future of DataClouderaUserGroups
 
Putting mobility at the heart of care management
Putting mobility at the heart of care managementPutting mobility at the heart of care management
Putting mobility at the heart of care managementBizagi
 
Realign Process & Data To Improve Your Customer-Centricity
Realign Process & Data To Improve Your Customer-CentricityRealign Process & Data To Improve Your Customer-Centricity
Realign Process & Data To Improve Your Customer-CentricityBizagi
 
How to Deliver a Process in 8 Weeks: The AgFirst Story
How to Deliver a Process in 8 Weeks: The AgFirst StoryHow to Deliver a Process in 8 Weeks: The AgFirst Story
How to Deliver a Process in 8 Weeks: The AgFirst StoryBizagi
 
Generali: How We Cut Insurance Quote Preparation by 60%
Generali: How We Cut Insurance Quote Preparation by 60%Generali: How We Cut Insurance Quote Preparation by 60%
Generali: How We Cut Insurance Quote Preparation by 60%Bizagi
 
What it takes to bring Hadoop to a production-ready state
What it takes to bring Hadoop to a production-ready stateWhat it takes to bring Hadoop to a production-ready state
What it takes to bring Hadoop to a production-ready stateClouderaUserGroups
 
Ovum Industry Congress BPM Workshop
Ovum Industry Congress BPM WorkshopOvum Industry Congress BPM Workshop
Ovum Industry Congress BPM WorkshopBizagi
 
Cloudera User Group - From the Lab to the Factory
Cloudera User Group - From the Lab to the FactoryCloudera User Group - From the Lab to the Factory
Cloudera User Group - From the Lab to the FactoryClouderaUserGroups
 
Pa cloudera manager-api's_extensibility_v2
Pa   cloudera manager-api's_extensibility_v2Pa   cloudera manager-api's_extensibility_v2
Pa cloudera manager-api's_extensibility_v2ClouderaUserGroups
 
Six Sigma, BPM, Digitalization -Different Paths to the Same Destination? | Bi...
Six Sigma, BPM, Digitalization -Different Paths to the Same Destination? | Bi...Six Sigma, BPM, Digitalization -Different Paths to the Same Destination? | Bi...
Six Sigma, BPM, Digitalization -Different Paths to the Same Destination? | Bi...Bizagi
 
Webinar - Top 5 Strategies for Digital Process Agility
Webinar - Top 5 Strategies for Digital Process AgilityWebinar - Top 5 Strategies for Digital Process Agility
Webinar - Top 5 Strategies for Digital Process AgilityBizagi
 
Extending and Automating Cloudera Manager via API
Extending and Automating Cloudera Manager via APIExtending and Automating Cloudera Manager via API
Extending and Automating Cloudera Manager via APIClouderaUserGroups
 
Practica 2. bodegones
Practica 2. bodegonesPractica 2. bodegones
Practica 2. bodegonesUalaa09
 
Nurturing Our Patients and Ourselves
Nurturing Our Patients and OurselvesNurturing Our Patients and Ourselves
Nurturing Our Patients and OurselvesKaiser Permanente
 
Mujeebur rahmansaher introduction-to-scrum_v2
Mujeebur rahmansaher introduction-to-scrum_v2Mujeebur rahmansaher introduction-to-scrum_v2
Mujeebur rahmansaher introduction-to-scrum_v2Mujeebur Rahmansaher
 

En vedette (20)

Cloudera User Group Chicago - The Future of Data
Cloudera User Group Chicago - The Future of DataCloudera User Group Chicago - The Future of Data
Cloudera User Group Chicago - The Future of Data
 
Putting mobility at the heart of care management
Putting mobility at the heart of care managementPutting mobility at the heart of care management
Putting mobility at the heart of care management
 
Realign Process & Data To Improve Your Customer-Centricity
Realign Process & Data To Improve Your Customer-CentricityRealign Process & Data To Improve Your Customer-Centricity
Realign Process & Data To Improve Your Customer-Centricity
 
How to Deliver a Process in 8 Weeks: The AgFirst Story
How to Deliver a Process in 8 Weeks: The AgFirst StoryHow to Deliver a Process in 8 Weeks: The AgFirst Story
How to Deliver a Process in 8 Weeks: The AgFirst Story
 
Animando con sass
Animando con sassAnimando con sass
Animando con sass
 
Generali: How We Cut Insurance Quote Preparation by 60%
Generali: How We Cut Insurance Quote Preparation by 60%Generali: How We Cut Insurance Quote Preparation by 60%
Generali: How We Cut Insurance Quote Preparation by 60%
 
What it takes to bring Hadoop to a production-ready state
What it takes to bring Hadoop to a production-ready stateWhat it takes to bring Hadoop to a production-ready state
What it takes to bring Hadoop to a production-ready state
 
Ovum Industry Congress BPM Workshop
Ovum Industry Congress BPM WorkshopOvum Industry Congress BPM Workshop
Ovum Industry Congress BPM Workshop
 
Cloudera User Group - From the Lab to the Factory
Cloudera User Group - From the Lab to the FactoryCloudera User Group - From the Lab to the Factory
Cloudera User Group - From the Lab to the Factory
 
Pa cloudera manager-api's_extensibility_v2
Pa   cloudera manager-api's_extensibility_v2Pa   cloudera manager-api's_extensibility_v2
Pa cloudera manager-api's_extensibility_v2
 
Six Sigma, BPM, Digitalization -Different Paths to the Same Destination? | Bi...
Six Sigma, BPM, Digitalization -Different Paths to the Same Destination? | Bi...Six Sigma, BPM, Digitalization -Different Paths to the Same Destination? | Bi...
Six Sigma, BPM, Digitalization -Different Paths to the Same Destination? | Bi...
 
Webinar - Top 5 Strategies for Digital Process Agility
Webinar - Top 5 Strategies for Digital Process AgilityWebinar - Top 5 Strategies for Digital Process Agility
Webinar - Top 5 Strategies for Digital Process Agility
 
Extending and Automating Cloudera Manager via API
Extending and Automating Cloudera Manager via APIExtending and Automating Cloudera Manager via API
Extending and Automating Cloudera Manager via API
 
Practica 2. bodegones
Practica 2. bodegonesPractica 2. bodegones
Practica 2. bodegones
 
Narrative
NarrativeNarrative
Narrative
 
Nurturing Our Patients and Ourselves
Nurturing Our Patients and OurselvesNurturing Our Patients and Ourselves
Nurturing Our Patients and Ourselves
 
Mujeebur rahmansaher introduction-to-scrum_v2
Mujeebur rahmansaher introduction-to-scrum_v2Mujeebur rahmansaher introduction-to-scrum_v2
Mujeebur rahmansaher introduction-to-scrum_v2
 
Informatica
InformaticaInformatica
Informatica
 
Drugs2 final
Drugs2 finalDrugs2 final
Drugs2 final
 
Reflections
ReflectionsReflections
Reflections
 

Similaire à Cloudera User Group Chicago - Cloudera Manager: APIs & Extensibility

Cloudera User Group SF - Cloudera Manager: APIs & Extensibility
Cloudera User Group SF - Cloudera Manager: APIs & ExtensibilityCloudera User Group SF - Cloudera Manager: APIs & Extensibility
Cloudera User Group SF - Cloudera Manager: APIs & ExtensibilityClouderaUserGroups
 
Apache Druid Auto Scale-out/in for Streaming Data Ingestion on Kubernetes
Apache Druid Auto Scale-out/in for Streaming Data Ingestion on KubernetesApache Druid Auto Scale-out/in for Streaming Data Ingestion on Kubernetes
Apache Druid Auto Scale-out/in for Streaming Data Ingestion on KubernetesDataWorks Summit
 
Prometheus and Docker (Docker Galway, November 2015)
Prometheus and Docker (Docker Galway, November 2015)Prometheus and Docker (Docker Galway, November 2015)
Prometheus and Docker (Docker Galway, November 2015)Brian Brazil
 
Best Practices For Workflow
Best Practices For WorkflowBest Practices For Workflow
Best Practices For WorkflowTimothy Spann
 
Halifax DevOps - Meet-up - July.19 2017
Halifax DevOps - Meet-up - July.19 2017Halifax DevOps - Meet-up - July.19 2017
Halifax DevOps - Meet-up - July.19 2017Kyle Bassett
 
Reusable, composable, battle-tested Terraform modules
Reusable, composable, battle-tested Terraform modulesReusable, composable, battle-tested Terraform modules
Reusable, composable, battle-tested Terraform modulesYevgeniy Brikman
 
Pyramid Deployment and Maintenance
Pyramid Deployment and MaintenancePyramid Deployment and Maintenance
Pyramid Deployment and MaintenanceJazkarta, Inc.
 
Spark on Dataproc - Israel Spark Meetup at taboola
Spark on Dataproc - Israel Spark Meetup at taboolaSpark on Dataproc - Israel Spark Meetup at taboola
Spark on Dataproc - Israel Spark Meetup at taboolatsliwowicz
 
CloudStack Tooling Ecosystem – Kiran Chavala, ShapeBlue
CloudStack Tooling Ecosystem – Kiran Chavala, ShapeBlueCloudStack Tooling Ecosystem – Kiran Chavala, ShapeBlue
CloudStack Tooling Ecosystem – Kiran Chavala, ShapeBlueShapeBlue
 
What's new in Docker - InfraKit - Docker Meetup Berlin 2016
What's new in Docker - InfraKit - Docker Meetup Berlin 2016What's new in Docker - InfraKit - Docker Meetup Berlin 2016
What's new in Docker - InfraKit - Docker Meetup Berlin 2016Patrick Chanezon
 
Masterless Puppet Using AWS S3 Buckets and IAM Roles
Masterless Puppet Using AWS S3 Buckets and IAM RolesMasterless Puppet Using AWS S3 Buckets and IAM Roles
Masterless Puppet Using AWS S3 Buckets and IAM RolesMalcolm Duncanson, CISSP
 
Apache Accumulo Overview
Apache Accumulo OverviewApache Accumulo Overview
Apache Accumulo OverviewBill Havanki
 
Serverless Machine Learning on Modern Hardware Using Apache Spark with Patric...
Serverless Machine Learning on Modern Hardware Using Apache Spark with Patric...Serverless Machine Learning on Modern Hardware Using Apache Spark with Patric...
Serverless Machine Learning on Modern Hardware Using Apache Spark with Patric...Databricks
 
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)Brian Brazil
 
Infrastructure Considerations : Design : "webops"
Infrastructure Considerations : Design : "webops"Infrastructure Considerations : Design : "webops"
Infrastructure Considerations : Design : "webops"Piyush Kumar
 
Cloudera GoDataFest Deploying Cloudera in the Cloud
Cloudera GoDataFest Deploying Cloudera in the CloudCloudera GoDataFest Deploying Cloudera in the Cloud
Cloudera GoDataFest Deploying Cloudera in the CloudGoDataDriven
 
How Big Data Can Enable Analytics from the Cloud (Technical Workshop)
How Big Data Can Enable Analytics from the Cloud (Technical Workshop)How Big Data Can Enable Analytics from the Cloud (Technical Workshop)
How Big Data Can Enable Analytics from the Cloud (Technical Workshop)Cloudera, Inc.
 
Apache Airflow Introduction
Apache Airflow IntroductionApache Airflow Introduction
Apache Airflow IntroductionLiangjun Jiang
 
Sprint 148
Sprint 148Sprint 148
Sprint 148ManageIQ
 

Similaire à Cloudera User Group Chicago - Cloudera Manager: APIs & Extensibility (20)

Cloudera User Group SF - Cloudera Manager: APIs & Extensibility
Cloudera User Group SF - Cloudera Manager: APIs & ExtensibilityCloudera User Group SF - Cloudera Manager: APIs & Extensibility
Cloudera User Group SF - Cloudera Manager: APIs & Extensibility
 
Apache Druid Auto Scale-out/in for Streaming Data Ingestion on Kubernetes
Apache Druid Auto Scale-out/in for Streaming Data Ingestion on KubernetesApache Druid Auto Scale-out/in for Streaming Data Ingestion on Kubernetes
Apache Druid Auto Scale-out/in for Streaming Data Ingestion on Kubernetes
 
Prometheus and Docker (Docker Galway, November 2015)
Prometheus and Docker (Docker Galway, November 2015)Prometheus and Docker (Docker Galway, November 2015)
Prometheus and Docker (Docker Galway, November 2015)
 
Best Practices For Workflow
Best Practices For WorkflowBest Practices For Workflow
Best Practices For Workflow
 
Halifax DevOps - Meet-up - July.19 2017
Halifax DevOps - Meet-up - July.19 2017Halifax DevOps - Meet-up - July.19 2017
Halifax DevOps - Meet-up - July.19 2017
 
Reusable, composable, battle-tested Terraform modules
Reusable, composable, battle-tested Terraform modulesReusable, composable, battle-tested Terraform modules
Reusable, composable, battle-tested Terraform modules
 
Pyramid Deployment and Maintenance
Pyramid Deployment and MaintenancePyramid Deployment and Maintenance
Pyramid Deployment and Maintenance
 
Spark on Dataproc - Israel Spark Meetup at taboola
Spark on Dataproc - Israel Spark Meetup at taboolaSpark on Dataproc - Israel Spark Meetup at taboola
Spark on Dataproc - Israel Spark Meetup at taboola
 
CloudStack Tooling Ecosystem – Kiran Chavala, ShapeBlue
CloudStack Tooling Ecosystem – Kiran Chavala, ShapeBlueCloudStack Tooling Ecosystem – Kiran Chavala, ShapeBlue
CloudStack Tooling Ecosystem – Kiran Chavala, ShapeBlue
 
What's new in Docker - InfraKit - Docker Meetup Berlin 2016
What's new in Docker - InfraKit - Docker Meetup Berlin 2016What's new in Docker - InfraKit - Docker Meetup Berlin 2016
What's new in Docker - InfraKit - Docker Meetup Berlin 2016
 
Masterless Puppet Using AWS S3 Buckets and IAM Roles
Masterless Puppet Using AWS S3 Buckets and IAM RolesMasterless Puppet Using AWS S3 Buckets and IAM Roles
Masterless Puppet Using AWS S3 Buckets and IAM Roles
 
Apache Accumulo Overview
Apache Accumulo OverviewApache Accumulo Overview
Apache Accumulo Overview
 
Serverless Machine Learning on Modern Hardware Using Apache Spark with Patric...
Serverless Machine Learning on Modern Hardware Using Apache Spark with Patric...Serverless Machine Learning on Modern Hardware Using Apache Spark with Patric...
Serverless Machine Learning on Modern Hardware Using Apache Spark with Patric...
 
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)
 
Infrastructure Considerations : Design : "webops"
Infrastructure Considerations : Design : "webops"Infrastructure Considerations : Design : "webops"
Infrastructure Considerations : Design : "webops"
 
Cloudera GoDataFest Deploying Cloudera in the Cloud
Cloudera GoDataFest Deploying Cloudera in the CloudCloudera GoDataFest Deploying Cloudera in the Cloud
Cloudera GoDataFest Deploying Cloudera in the Cloud
 
How Big Data Can Enable Analytics from the Cloud (Technical Workshop)
How Big Data Can Enable Analytics from the Cloud (Technical Workshop)How Big Data Can Enable Analytics from the Cloud (Technical Workshop)
How Big Data Can Enable Analytics from the Cloud (Technical Workshop)
 
Apache Airflow Introduction
Apache Airflow IntroductionApache Airflow Introduction
Apache Airflow Introduction
 
Pyramid deployment
Pyramid deploymentPyramid deployment
Pyramid deployment
 
Sprint 148
Sprint 148Sprint 148
Sprint 148
 

Dernier

"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 

Dernier (20)

"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 

Cloudera User Group Chicago - Cloudera Manager: APIs & Extensibility

  • 1. Cloudera  Manager  –  API’s  &   Extensibility     Ma#  Harris  –  Systems  Engineer   December  2013     1 CONFIDENTIAL  -­‐  RESTRICTED  
  • 2. Cloudera  Manager   End-­‐to-­‐End  AdministraGon  for  CDH   1 Monitor   2 Diagnose   3 Integrate   4 Manage   Easily  deploy,  configure  &  opGmize  clusters   Maintain  a  central  view  of  all  acGvity   Easily  idenGfy  and  resolve  issues   Use  Cloudera  Manager  with  exisGng  tools   2 ©2013  Cloudera,  Inc.  All  Rights  Reserved.  
  • 3. IntegraGng  with  your  IT  Mgmt  tools   Datacenter  Opera*ons   Various  op*ons  of  integra*ng  Cloudera  Manager  into  your  exis*ng   Installa;on,   Datacenter  Opera*ons/Tools  Monitoring   Deployment   Aler;ng   Tools   tools   Tools   e.g.  Orion,     •  Cloudera  Manager  API   e.g.  Chef,   e.g  Nagios,   Tivoli,  BMC   Puppet  etc.   SNMP  etc.   •  Introduced  in  CM4  (June  2etc.   012)     •  Installa*on  &  deployment   •  Monitoring   •  SNMP  Alerts   •  Introduced  in  CM4.5  (Feb  2013)   •  Hadoop  Opera*ons   And  more…   Cloudera   •  Monitoring  ‘tsquery’  (Feb  2013)   Manager   •  User-­‐defined  triggers/alarms  (new  for  C5!)   •  Service  extensibility  (new  for  C5!)   3 ©2013  Cloudera,  Inc.  All  Rights  Reserved.  
  • 4. Cloudera  Manager  (CM)  API     •  •      4 API  access  was  a  new  feature  introduced  in  Cloudera  Manager  4.0,  providing  programmaGc  access  to   cluster  operaGons  (such  as  configuraGon  and  restart)  and  monitoring  informaGon  (such  as  health  and   metrics).     The  CM  API  is  an  HTTP  REST  API,  using  JSON  serializaGon.  The  API  is  served  on  the  same  host  and  port  as   the  CM  web  UI,  and  does  not  require  an  extra  process  or  extra  configuraGon.  API  users  have  the  same   privileges  as  they  do  in  the  web  UI  world.   •  Docs  &  Examples   h#p://cloudera.github.io/cm_api/   h#ps://github.com/cloudera/cm_api   •  Java/Python  clients   h#p://blog.cloudera.com/blog/2013/05/how-­‐to-­‐ automate-­‐your-­‐hadoop-­‐cluster-­‐from-­‐java/       ©2013Cloudera,  Inc.  All  Rights  Reserved.  
  • 5. Examples  of  integraGon  with  CM  API   •  Installa;on  &  Deployment   •  •  •  Chef   Puppet   Dell  Crowbar   •  •  h#p://blog.cloudera.com/blog/2013/08/how-­‐to-­‐deploy-­‐hadoop-­‐clusters-­‐automaGcally-­‐with-­‐dell-­‐crowbar-­‐and-­‐cloudera-­‐manager/ StackIQ   •    h#p://web.stackiq.com/blog/bid/312064/StackIQ-­‐Cluster-­‐Manager-­‐now-­‐integrated-­‐with-­‐Cloudera   •  •  •  WANdisco  –  non-­‐stop  NN  setup   Several  other  customers/partners  leveraging  the  API’s  as  part  of    their  install  &  deployment     process   Monitoring  &  Aler;ng   •  •  Oracle  Enterprise  Manager  (via  Big  Data  Appliance)   Nagios   •  •  •  h#ps://github.com/cloudera/cm_api/tree/master/nagios   h#ps://github.com/harisekhon/nagios-­‐plugins/blob/master/ check_hadoop_cloudera_manager_metrics.pl   SNMP  alerts  integraGon  with  IBM  Netcool   Develop  &  Contribute  your  plug-­‐in’s  using  Cloudera   Manager  API     5 ©2013  Cloudera,  Inc.  All  Rights  Reserved.  
  • 6. Cloudera  Manager  –  Monitoring  via  ‘tsquery’   •  Introduced  as  part  of  CM4.5    release  (Feb  2013)   •  Great  way  to  add  interesGng    charts  (above  &  beyond  what  is  provided  by  default)    and  monitor   metrics  that  are  relevant  to  your  clusters   •  •  The  tsquery  language   s  used  to    Manager  Gme-­‐series  diata  store   specify  statements  for  retrieving  Gme-­‐series  data  from  the  Cloudera     Example:  How  do  I  compare  all  disk  IO  for  all  the  DataNodes  that  belong  to  a  specific  HDFS  service?   select  bytes_read,  bytes_wriZen  where  roleType=DATANODE  and  serviceName=hdfs1   •  Retrieved  Gme-­‐series  data  can  be  plo#ed  via  various  opGons  –  line,  bar,  sca#er,    heat  maps,  table  list   etc.   •  Extending  this  concept  to  create  user-­‐defined  triggers/alarms  (new  for  C5!).     More  details   •  h#p://www.cloudera.com/content/cloudera-­‐content/cloudera-­‐docs/CM5/latest/Cloudera-­‐ Manager-­‐DiagnosGcs-­‐Guide/cm5dg_chart_Gme_series_data.html   •  6 ©2013  Cloudera,  Inc.  All  Rights  Reserved.  
  • 7. Examples  of  Cloudera  Manager  ‘tsquery’   Example1:  How  do  I  track  the     aggregate  Cluster  Disk  IO?     select  dt0(read_bytes_disk_sum),   dt0(write_bytes_disk_sum)  where   category  =  CLUSTER  and  clusterId  =   $CLUSTERID   Example2:  How  do  I  compare  CPU   usage  across  hosts?   select  dt0(total_cpu_user)  /  getHostFact(numCores,  1)  *  100,   dt0(total_cpu_system)  /  getHostFact(numCores,  1)  *  100,   dt0(total_cpu_nice)  /  getHostFact(numCores,  1)  *  100,   dt0(total_cpu_iowait)  /  getHostFact(numCores,  1)  *  100,   dt0(total_cpu_irq)  /  getHostFact(numCores,  1)  *  100,   dt0(total_cpu_so`_irq)  /  getHostFact(numCores,  1)  *  100   Create  &  Contribute  your  ‘tsqueries’!   h#ps://github.com/cloudera/cm_charGng_scrapbook   7 ©2013  Cloudera,  Inc.  All  Rights  Reserved.  
  • 8. Cloudera  Manager  –  Service  Extensibility   •  Introduced  in  C5   •  SGll  in  Beta!   •  Some  aspects  (espcially  Parcel  mgmt)  available  in  CM4.x   •  Example:  CollaboraGon  with  Syncsort  to  deploy  DMX-­‐h  libraries   •  Single  management  console  for  CDH,  non-­‐CDH  services  and  ISV   applicaGons   •  Similar  look  and  feel  as  exisGng  services   •  Easy  to  write  (Java-­‐free!)   •  Flexible   •  Independent  release  cycle   ©2013Cloudera, Inc. All Rights Reserved.
  • 9. Analogy  from  OperaGng  Systems  (OS)  world       ISV’s  view  of  OS     Systems  Management   Package   Mgmt   Process/   Resource   Mgmt   Security   Mgmt   Core  OS  kernel   9 ©2013Cloudera,  Inc.  All  Rights  Reserved.   Data   Access   Mgmt  
  • 10. Bringing  ISV  Apps  to  CDH       ISV’s  view  of  Hadoop     Cloudera  Manager   Parcels   Resource     Mgmt   Security   Mgmt   CDK  API’s   Core  Hadoop/CDH  kernel   10 ©2013Cloudera,  Inc.  All  Rights  Reserved.  
  • 11. IntegraGng  into  the  Cloudera  Product  Porpolio   Features   Examples   -­‐  Ability  to  easily  package  and  distribute  binaries/ jars  via  “Parcels”   -­‐ InformaGca   -­‐ Syncsort   Resource   Mgmt   -­‐  Ability  to  deploy  applicaGons  as  stand-­‐alone   processes    or  via  YARN*  on  the  Hadoop  grid   -­‐  Resource  isolaGon  of  cluster  resources       -­‐ SAS   -­‐ 0xData   -­‐ Accumulo   Security   Mgmt   Cloudera  Manager   Descrip;on   Package   Mgmt   ISV’s   -­‐  Support  for  Kerberos  Mgmt   -­‐  Role  bases  access  control  for  Tables/Views  in   Hive/Impala  via  Sentry   Data  Access   Mgmt   -­‐  HDFS  and  HBase  API  abstracGon  and   simplificaGon   Systems  Mgmt   Manage   Monitor   Non-­‐CDH  Apps…   Accumulo,   Spark,  Giraph   etc.   -­‐ Deploy  and  upgrade  (rolling)  services  and  pkgs   -­‐ Manage  configuraGons   -­‐ ProacGve  health  checks   -­‐ Track  resource  uGlizaGon     -­‐ Custom  metrics  charts   Diagnose   -­‐ Distributed  log  collecGon  and  searching   -­‐ Tag  and  track  key  events   Integrate   -­‐ Access  operaGonal  tools  via  API   -­‐ Surface  overall  cluster  metrics  to  ISV  dashboard     *  Support  for  YARN  planned  as  part  of  CM5.x  in  FY14   11 ©2013Cloudera,  Inc.  All  Rights  Reserved.  
  • 12. So..  How  does  it  work?     •  A  JSON  file  that  describes  your  service   •  Set  of  control  scripts   •  Packaged  as  a  JAR  file   •  As  promised,  Java-­‐free   ©2013Cloudera, Inc. All Rights Reserved.
  • 13. Example:  Cloudera  Manager  Extensions  -­‐  Spark       ©2013Cloudera, Inc. All Rights Reserved.
  • 14.   Cloudera  Manager  Extensions     ©2013Cloudera, Inc. All Rights Reserved.
  • 15. Cloudera  Manager  Extensions:  Spark   ©2013Cloudera, Inc. All Rights Reserved.
  • 16. Cloudera  Manager  Extensions:  Spark   ©2013Cloudera, Inc. All Rights Reserved.
  • 17. Cloudera  Manager  Extensions:  Spark   ©2013Cloudera, Inc. All Rights Reserved.
  • 18. The  Code       #!/bin/bash   name  :  “spark”,   roles  :  [{            name  :  "master",   CMD=$1   MASTER_PORT=<read  in  from  ./params.proper;es>            startRunner  :  {                    program  :  "scripts/control.sh",                    args  :  [    "start_master",     case  $CMD  in      (start_master)      exec  $SPARK_HOME/scripts/spark-­‐start.sh  master"                                                  "./params.proper;es"]                },          ;;                parameters  :  [{        (*)          echo  "$;mestamp  Don't  understand  [$CMD]"                      name  :  "master_port",                      type  :  "port",          ;;   esac                      default  :  7077                  }],                configWriter  :  {                      generators  :  [{                            filename  :  "params.proper;es"                      }]   }]   ©2013Cloudera, Inc. All Rights Reserved.
  • 19. Next  Steps   •  DocumentaGon  &  SDK  as  part  of  C5  Beta2   or  later  (definitely  before  GA!)   •  Working  with  select  ISV’s  (SAS,  Syncsort,   0xData  etc.)  as  part  of  Beta  to  further  fine-­‐ tune  this  feature     Develop  &  Contribute  your    Cloudera  Manager  service   extensibility  plug-­‐in’s  !   ©2013Cloudera, Inc. All Rights Reserved.
  • 20. Horizontal Extension Security ISV’s 0xData SAS Syncsort Informatica Revolution API Ops Apps Capacity Mgr Service Extensibility Vertical Extension Vision  of  CM  Extensibility   SLA Mgr Cost Optimizer CDH CM SNMP API Oracle OEM 20 Nagios Dell Chef/ Puppet ©2012Cloudera,  Inc.  All  Rights  Reserved.   Accumulo Spark Giraph
  • 21. Q&A   ©2013Cloudera, Inc. All Rights Reserved.