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© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Javier Ramirez y Jose Manrique
@supercoco9 @jsmanrique
Getting started with Open Distro for Elasticsearch
And how Bitergia is using it
Madrid DevOps
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
My personal journey into full-text search (and log processing)
Problem
Solution
SELECT LIKE %
and SOUNDEX are
not good enough
Before 2001
The fuzzy years
Say bye to
transactions and hi
to data corruption
with MyISAM tables
I need to support multi
language, and speed,
and to search by full text
and facets, and rankings,
column weights and
excerpts. I want to be
like Altavista Google
2001-2005
The Lucene epiphany
Embrace JAVA
Hello Lucene (and
Nutch)
I want full text
search for
dynamic
languages
Ruby FTW
2006-2009
The anything but
Java golden age
Sphinx Search
* Spoke about
Sphinx at several
events
My data-sets start growing to
multiple servers
I want to index anything, not just
content from my database
I would like to have the power of
Lucene, without the pain of JAVA
(python and JavaScript are cool), and
the excess of configuration
2010-2013
The sol4r vs elastic civil wars
Sol4r and Elastic are excellent choices
to tame the raw power of Lucene and
make It more approachable
PostgreSQL good enough for many
things. Great if you need GIS
* Spoke about PostgreSQL full- text
search at PGConf
As a DevOps convert, apart
from full-text search, I want
operational search for the
myriad logs of my
microservices.
I want to have pretty and
powerful real-time
dashboards, but either they
are very SQL/Business-
oriented or very low-level
monitoring oriented.
2014-2018
The ELK take over
With LogStash and Kibana
Elasticsearch becomes not
just my search engine, but
also my log analytics engine.
* Spoke about Logstash, then
about ELK or ExK for log and
big data analytics at several
events
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Source: TechCrunch survey of popular open source software from April’17
• Sometimes referred to as the “ELK
Stack” – Elasticsearch, Logstash &
Kibana
• Distributed search and analytics
engine built on Apache Lucene
• Easy ingestion and visualization
• Developed in Java
What is Elasticsearch?
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Machine data driving Elasticsearch growth
IT & DevOps:
Databases, Servers,
Storage, Networking
Increase in IoT and Mobile
Devices: Gaming, Sensors,
Web Content
Cloud-based
architectures
Machine-generated data is growing than business data… Logs, logs, and more logs
Source: insideBigData—The Exponential Growth of Data, February 16, 2017
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How we think about OSS licensing
and distribution?
Base OSS
free of
proprietary code
Keep commercial
software on top
of OSS separate
Allow anyone
to innovate
on OSS
Don’t change
licensing or
distribution
midstream
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
An Apache 2.0-licensed
distribution of Elasticsearch
enhanced with enterprise-grade
security, alerting, SQL, and more
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Enterprise-grade
Delivering security
and advanced capabilities
such as alerting, SQL,
and cluster diagnostics
100% open source
Providing you the
freedoms, so you can
freely view, use, change,
and distribute the code
Community-driven
Providing individuals
and organizations the
freedom to easily contribute
changes to the distro
Benefits of Open Distro for Elasticsearch
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Flexible deployment options
• Docker
• RPM
• Debian
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Simple to get started
Visit the
website
Download the
Elasticsearch
and Kibana
packages
Load and
query data
1 2 3
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Open Distro for Elasticsearch - Features
Security Alerting SQL Performance Analyzer
Achieve encryption in-
flight, fine-grained access
control, audit logging,
and compliance
Monitor your data and
send automatic alerts on
any changes in your data
Easily interact with your
Elasticsearch cluster and
extract insights using the
familiar SQL query syntax
Get deep visibility into
system bottlenecks even
when your Elasticsearch
cluster is under duress.
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Security
Keep your data secure
Encryption
Keep your data secure when in transit
Authentication
Leverage your existing authentication infrastructure
RBAC
Granular access control over user actions on your
cluster
Audit logging
Track and record all user actions and meet HIPAA, and
PCI compliance
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Request with
credentials
Access control flow for RBAC
Authc — via basic HTTP auth, LDAP, AD, SAML, web tokens, SSL
Authz — Backend identities mapped to Open Distro roles
Permissions — allow a role to perform an action against a
cluster/index/document/field
Action groups — Groups of permissions
Authc
provider
Authc
Request with
user/backend
roles
Roles and
permissions
Authz
Response
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Kibana multi-tenancy
Group A Group B
Group B permissionsGroup A permissions
Index
1
Index
2
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Alerting
Receive alerts on your data
Create monitors
Query the data you want to and receive alerts on it
Customize alert conditions
Define alerting threshold and severity for multiple
trigger conditions
Get notifications
Built-in integrations for webhook and Slack to get
notified on the channels you use
View alerts
All alert executions are indexed for easy tracking
and visualization
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
SQL Support
Query data with SQL
Comprehensive SQL support
Supports over 40 functions, data types, and
commands including join support
Translate SQL to JSON
Create JSON using SQL to configure
sophisticated access control policies
Use existing tools
Provides a JDBC driver so you can use a variety of
business intelligence, analytics, and ETL tools
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Performance Analyzer
Get deep diagnostic insights into your cluster
Identify bottlenecks across the stack
Provides a powerful REST API for querying
Elasticsearch metrics to diagnose issues across stack
Runs independent of your cluster
Perform diagnostics even if the cluster is under
duress
Analyze hundreds of data points
Supports over 60 metrics across 10 dimensions for
instrumentation of your cluster health
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
PerfTop CLI
• Provides pre-configured
dashboards for analyzing
cluster, node, and shard
performance
• Custom JSON templates
to create the dashboards
to diagnose your cluster
performance
Bitergia helps companies and
organizations with understanding and
improving software development
projects that matter to them
Bitergia Analytics
● What is being done in the analyzed projects?
● How many active projects do I contribute to?
● What’s developers engagement level?
● What is being modified and what’s left untouched for too long?
Activity
(what?)
● Who are the contributors to the analyzed projects?
● Where are my developers? Where do they come from?
● Who are my core, regular and casual developers?
● What’s the talent rotation and retention level?
Community
(who?)
● How fast are projects analyzed performing?
● How are we dealing with issues and merge requests?
● Where are the bottlenecks?
● How are we dealing with the backlog?
Performance
(how?)
● What is being done in the analyzed projects?
● How many active projects do I contribute to?
● What’s developers engagement level?
● What is being modified and what’s left untouched for too long?
Activity
(what?)
● Who are the contributors to the analyzed projects?
● Where are my developers? Where do they come from?
● Who are my core, regular and casual developers?
● What’s the talent rotation and retention level?
Community
(who?)
● How fast are projects analyzed performing?
● How are we dealing with issues and merge requests?
● Where are the bottlenecks?
● How are we dealing with the backlog?
Performance
(how?)
uber.biterg.io
100% free, open
source software
GrimoireLab
github.com/chaoss/grimoirelab
Because Kibana
Why Elasticsearch?
But we ended (soft) forking it ...
Alerts
Multitenancy
Roles based access to data
and ...
Customers requests ...
100% free, open
source software
Alerts
Multitenancy
Roles based access to data
and ...
Includes ...
100% free, open
source software
gitlab.com/jsmanrique/awsome-grimoirelab
For you, to play ...
Integrate (latest) Open Distro for
Elasticsearch into GrimoireLab
github.com/chaoss/grimoirelab/issues/219
What’s next?
… and one more thing!
alpha.cauldron.io
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Mooooooarrrr plugins
• Index management (RFC open now)
• jobs scheduler
• What will you contribute? J
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Community and Contributions
Open Distro for Elasticsearch’s success is driven by the community’s
participation, contributions and innovation to the project.
You can follow project discussions, engage with fellow community
members, contribute PRs, file bugs or request a feature at:
Discussion Forums
https://discuss.opendistrocommunity.dev/
Community
https://github.com/opendistro-for-elasticsearch/community/issues
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Useful Links
Project Website and Technical Documentation
https://opendistro.github.io/for-elasticsearch/
Source Code
https://github.com/opendistro-for-elasticsearch
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thank you!
Javier Ramirez y Jose Manrique
@supercoco9 @jsmanrique

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Open Distro for ElasticSearch and how Grimoire is using it. Madrid DevOps October 2019

  • 1. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Javier Ramirez y Jose Manrique @supercoco9 @jsmanrique Getting started with Open Distro for Elasticsearch And how Bitergia is using it Madrid DevOps
  • 2. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. My personal journey into full-text search (and log processing) Problem Solution SELECT LIKE % and SOUNDEX are not good enough Before 2001 The fuzzy years Say bye to transactions and hi to data corruption with MyISAM tables I need to support multi language, and speed, and to search by full text and facets, and rankings, column weights and excerpts. I want to be like Altavista Google 2001-2005 The Lucene epiphany Embrace JAVA Hello Lucene (and Nutch) I want full text search for dynamic languages Ruby FTW 2006-2009 The anything but Java golden age Sphinx Search * Spoke about Sphinx at several events My data-sets start growing to multiple servers I want to index anything, not just content from my database I would like to have the power of Lucene, without the pain of JAVA (python and JavaScript are cool), and the excess of configuration 2010-2013 The sol4r vs elastic civil wars Sol4r and Elastic are excellent choices to tame the raw power of Lucene and make It more approachable PostgreSQL good enough for many things. Great if you need GIS * Spoke about PostgreSQL full- text search at PGConf As a DevOps convert, apart from full-text search, I want operational search for the myriad logs of my microservices. I want to have pretty and powerful real-time dashboards, but either they are very SQL/Business- oriented or very low-level monitoring oriented. 2014-2018 The ELK take over With LogStash and Kibana Elasticsearch becomes not just my search engine, but also my log analytics engine. * Spoke about Logstash, then about ELK or ExK for log and big data analytics at several events
  • 3. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Source: TechCrunch survey of popular open source software from April’17 • Sometimes referred to as the “ELK Stack” – Elasticsearch, Logstash & Kibana • Distributed search and analytics engine built on Apache Lucene • Easy ingestion and visualization • Developed in Java What is Elasticsearch?
  • 4. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Machine data driving Elasticsearch growth IT & DevOps: Databases, Servers, Storage, Networking Increase in IoT and Mobile Devices: Gaming, Sensors, Web Content Cloud-based architectures Machine-generated data is growing than business data… Logs, logs, and more logs Source: insideBigData—The Exponential Growth of Data, February 16, 2017
  • 5. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. How we think about OSS licensing and distribution? Base OSS free of proprietary code Keep commercial software on top of OSS separate Allow anyone to innovate on OSS Don’t change licensing or distribution midstream
  • 6. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. An Apache 2.0-licensed distribution of Elasticsearch enhanced with enterprise-grade security, alerting, SQL, and more
  • 7. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Enterprise-grade Delivering security and advanced capabilities such as alerting, SQL, and cluster diagnostics 100% open source Providing you the freedoms, so you can freely view, use, change, and distribute the code Community-driven Providing individuals and organizations the freedom to easily contribute changes to the distro Benefits of Open Distro for Elasticsearch
  • 8. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Flexible deployment options • Docker • RPM • Debian
  • 9. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Simple to get started Visit the website Download the Elasticsearch and Kibana packages Load and query data 1 2 3
  • 10. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Open Distro for Elasticsearch - Features Security Alerting SQL Performance Analyzer Achieve encryption in- flight, fine-grained access control, audit logging, and compliance Monitor your data and send automatic alerts on any changes in your data Easily interact with your Elasticsearch cluster and extract insights using the familiar SQL query syntax Get deep visibility into system bottlenecks even when your Elasticsearch cluster is under duress.
  • 11. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Security Keep your data secure Encryption Keep your data secure when in transit Authentication Leverage your existing authentication infrastructure RBAC Granular access control over user actions on your cluster Audit logging Track and record all user actions and meet HIPAA, and PCI compliance
  • 12. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Request with credentials Access control flow for RBAC Authc — via basic HTTP auth, LDAP, AD, SAML, web tokens, SSL Authz — Backend identities mapped to Open Distro roles Permissions — allow a role to perform an action against a cluster/index/document/field Action groups — Groups of permissions Authc provider Authc Request with user/backend roles Roles and permissions Authz Response
  • 13. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Kibana multi-tenancy Group A Group B Group B permissionsGroup A permissions Index 1 Index 2
  • 14. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Alerting Receive alerts on your data Create monitors Query the data you want to and receive alerts on it Customize alert conditions Define alerting threshold and severity for multiple trigger conditions Get notifications Built-in integrations for webhook and Slack to get notified on the channels you use View alerts All alert executions are indexed for easy tracking and visualization
  • 15. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. SQL Support Query data with SQL Comprehensive SQL support Supports over 40 functions, data types, and commands including join support Translate SQL to JSON Create JSON using SQL to configure sophisticated access control policies Use existing tools Provides a JDBC driver so you can use a variety of business intelligence, analytics, and ETL tools
  • 16. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Performance Analyzer Get deep diagnostic insights into your cluster Identify bottlenecks across the stack Provides a powerful REST API for querying Elasticsearch metrics to diagnose issues across stack Runs independent of your cluster Perform diagnostics even if the cluster is under duress Analyze hundreds of data points Supports over 60 metrics across 10 dimensions for instrumentation of your cluster health
  • 17. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. PerfTop CLI • Provides pre-configured dashboards for analyzing cluster, node, and shard performance • Custom JSON templates to create the dashboards to diagnose your cluster performance
  • 18. Bitergia helps companies and organizations with understanding and improving software development projects that matter to them
  • 20. ● What is being done in the analyzed projects? ● How many active projects do I contribute to? ● What’s developers engagement level? ● What is being modified and what’s left untouched for too long? Activity (what?) ● Who are the contributors to the analyzed projects? ● Where are my developers? Where do they come from? ● Who are my core, regular and casual developers? ● What’s the talent rotation and retention level? Community (who?) ● How fast are projects analyzed performing? ● How are we dealing with issues and merge requests? ● Where are the bottlenecks? ● How are we dealing with the backlog? Performance (how?)
  • 21. ● What is being done in the analyzed projects? ● How many active projects do I contribute to? ● What’s developers engagement level? ● What is being modified and what’s left untouched for too long? Activity (what?) ● Who are the contributors to the analyzed projects? ● Where are my developers? Where do they come from? ● Who are my core, regular and casual developers? ● What’s the talent rotation and retention level? Community (who?) ● How fast are projects analyzed performing? ● How are we dealing with issues and merge requests? ● Where are the bottlenecks? ● How are we dealing with the backlog? Performance (how?)
  • 27. But we ended (soft) forking it ...
  • 28.
  • 29. Alerts Multitenancy Roles based access to data and ... Customers requests ...
  • 31.
  • 32.
  • 33. Alerts Multitenancy Roles based access to data and ... Includes ...
  • 35.
  • 37. Integrate (latest) Open Distro for Elasticsearch into GrimoireLab github.com/chaoss/grimoirelab/issues/219 What’s next?
  • 38. … and one more thing!
  • 40. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Mooooooarrrr plugins • Index management (RFC open now) • jobs scheduler • What will you contribute? J
  • 41. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Community and Contributions Open Distro for Elasticsearch’s success is driven by the community’s participation, contributions and innovation to the project. You can follow project discussions, engage with fellow community members, contribute PRs, file bugs or request a feature at: Discussion Forums https://discuss.opendistrocommunity.dev/ Community https://github.com/opendistro-for-elasticsearch/community/issues
  • 42. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Useful Links Project Website and Technical Documentation https://opendistro.github.io/for-elasticsearch/ Source Code https://github.com/opendistro-for-elasticsearch
  • 43. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Thank you! Javier Ramirez y Jose Manrique @supercoco9 @jsmanrique