Hi Arun,
very interesting proposal. I may see some possible interaction with
Falcon. In Falcon, we have HDFS files (and Hive/HBase) monitoring (with
a kind of Change Data Capture), etc.
So, I see a different perspective in Eagle, but Eagle could also
leverage Falcon somehow.
Regards
JB
On 10/19/2015 05:33 PM, Manoharan, Arun wrote:
Hello Everyone,
My name is Arun Manoharan. Currently a product manager in the Analytics
platform team at eBay Inc.
I would like to start a discussion on Eagle and its joining the ASF as an
incubation project.
Eagle is a Monitoring solution for Hadoop to instantly identify access to
sensitive data, recognize attacks, malicious activities and take actions in
real time. Eagle supports a wide variety of policies on HDFS data and Hive.
Eagle also provides machine learning models for detecting anomalous user
behavior in Hadoop.
The proposal is available on the wiki here:
https://wiki.apache.org/incubator/EagleProposal
The text of the proposal is also available at the end of this email.
Thanks for your time and help.
Thanks,
Arun
<COPY of the proposal in text format>
Eagle
Abstract
Eagle is an Open Source Monitoring solution for Hadoop to instantly identify
access to sensitive data, recognize attacks, malicious activities in hadoop and
take actions.
Proposal
Eagle audits access to HDFS files, Hive and HBase tables in real time, enforces
policies defined on sensitive data access and alerts or blocks user’s access to
that sensitive data in real time. Eagle also creates user profiles based on the
typical access behaviour for HDFS and Hive and sends alerts when anomalous
behaviour is detected. Eagle can also import sensitive data information
classified by external classification engines to help define its policies.
Overview of Eagle
Eagle has 3 main parts.
1.Data collection and storage - Eagle collects data from various hadoop logs in
real time using Kafka/Yarn API and uses HDFS and HBase for storage.
2.Data processing and policy engine - Eagle allows users to create policies
based on various metadata properties on HDFS, Hive and HBase data.
3.Eagle services - Eagle services include policy manager, query service and the
visualization component. Eagle provides intuitive user interface to administer
Eagle and an alert dashboard to respond to real time alerts.
Data Collection and Storage:
Eagle provides programming API for extending Eagle to integrate any data source
into Eagle policy evaluation framework. For example, Eagle hdfs audit
monitoring collects data from Kafka which is populated from namenode log4j
appender or from logstash agent. Eagle hive monitoring collects hive query logs
from running job through YARN API, which is designed to be scalable and
fault-tolerant. Eagle uses HBase as storage for storing metadata and metrics
data, and also supports relational database through configuration change.
Data Processing and Policy Engine:
Processing Engine: Eagle provides stream processing API which is an abstraction
of Apache Storm. It can also be extended to other streaming engines. This
abstraction allows developers to assemble data transformation, filtering,
external data join etc. without physically bound to a specific streaming
platform. Eagle streaming API allows developers to easily integrate business
logic with Eagle policy engine and internally Eagle framework compiles business
logic execution DAG into program primitives of underlying stream infrastructure
e.g. Apache Storm. For example, Eagle HDFS monitoring transforms audit log from
Namenode to object and joins sensitivity metadata, security zone metadata which
are generated from external programs or configured by user. Eagle hive
monitoring filters running jobs to get hive query string and parses query
string into object and then joins sensitivity metadata.
Alerting Framework: Eagle Alert Framework includes stream metadata API,
scalable policy engine framework, extensible policy engine framework. Stream
metadata API allows developers to declare event schema including what
attributes constitute an event, what is the type for each attribute, and how to
dynamically resolve attribute value in runtime when user configures policy.
Scalable policy engine framework allows policies to be executed on different
physical nodes in parallel. It is also used to define your own policy
partitioner class. Policy engine framework together with streaming partitioning
capability provided by all streaming platforms will make sure policies and
events can be evaluated in a fully distributed way. Extensible policy engine
framework allows developer to plugin a new policy engine with a few lines of
codes. WSO2 Siddhi CEP engine is the policy engine which Eagle supports as
first-class citizen.
Machine Learning module: Eagle provides capabilities to define user activity
patterns or user profiles for Hadoop users based on the user behaviour in the
platform. These user profiles are modeled using Machine Learning algorithms and
used for detection of anomalous users activities. Eagle uses Eigen Value
Decomposition, and Density Estimation algorithms for generating user profile
models. The model reads data from HDFS audit logs, preprocesses and aggregates
data, and generates models using Spark programming APIs. Once models are
generated, Eagle uses stream processing engine for near real-time anomaly
detection to determine if any user’s activities are suspicious or not.
Eagle Services:
Query Service: Eagle provides SQL-like service API to support comprehensive
computation for huge set of data on the fly, for e.g. comprehensive filtering,
aggregation, histogram, sorting, top, arithmetical expression, pagination etc.
HBase is the data storage which Eagle supports as first-class citizen,
relational database is supported as well. For HBase storage, Eagle query
framework compiles user provided SQL-like query into HBase native filter
objects and execute it through HBase coprocessor on the fly.
Policy Manager: Eagle policy manager provides UI and Restful API for user to
define policy with just a few clicks. It includes site management UI, policy
editor, sensitivity metadata import, HDFS or Hive sensitive resource browsing,
alert dashboards etc.
Background
Data is one of the most important assets for today’s businesses, which makes
data security one of the top priorities of today’s enterprises. Hadoop is
widely used across different verticals as a big data repository to store this
data in most modern enterprises.
At eBay we use hadoop platform extensively for our data processing needs. Our
data in Hadoop is becoming bigger and bigger as our user base is seeing an
exponential growth. Today there are variety of data sets available in Hadoop
cluster for our users to consume. eBay has around 120 PB of data stored in HDFS
across 6 different clusters and around 1800+ active hadoop users consuming data
thru Hive, HBase and mapreduce jobs everyday to build applications using this
data. With this astronomical growth of data there are also challenges in
securing sensitive data and monitoring the access to this sensitive data. Today
in large organizations HDFS is the defacto standard for storing big data. Data
sets which includes and not limited to consumer sentiment, social media data,
customer segmentation, web clicks, sensor data, geo-location and transaction
data get stored in Hadoop for day to day business needs.
We at eBay want to make sure the sensitive data and data platforms are
completely protected from security breaches. So we partnered very closely with
our Information Security team to understand the requirements for Eagle to
monitor sensitive data access on hadoop:
1.Ability to identify and stop security threats in real time
2.Scale for big data (Support PB scale and Billions of events)
3.Ability to create data access policies
4.Support multiple data sources like HDFS, HBase, Hive
5.Visualize alerts in real time
6.Ability to block malicious access in real time
We did not find any data access monitoring solution that available today and
can provide the features and functionality that we need to monitor the data
access in the hadoop ecosystem at our scale. Hence with an excellent team of
world class developers and several users, we have been able to bring Eagle into
production as well as open source it.
Rationale
In today’s world; data is an important asset for any company. Businesses are
using data extensively to create amazing experiences for users. Data has to be
protected and access to data should be secured from security breaches. Today
Hadoop is not only used to store logs but also stores financial data, sensitive
data sets, geographical data, user click stream data sets etc. which makes it
more important to be protected from security breaches. To secure a data
platform there are multiple things that need to happen. One is having a strong
access control mechanism which today is provided by Apache Ranger and Apache
Sentry. These tools provide the ability to provide fine grain access control
mechanism to data sets on hadoop. But there is a big gap in terms of monitoring
all the data access events and activities in order to securing the hadoop data
platform. Together with strong access control, perimeter security and data
access monitoring in place data in the hadoop clusters can be secu
r
ed against breaches. We looked around and found following:
Existing data activity monitoring products are designed for traditional
databases and data warehouse. Existing monitoring platforms cannot scale out to
support fast growing data and petabyte scale. Few products in the industry are
still very early in terms of supporting HDFS, Hive, HBase data access
monitoring.
As mentioned in the background, the business requirement and urgency to secure
the data from users with malicious intent drove eBay to invest in building a
real time data access monitoring solution from scratch to offer real time
alerts and remediation features for malicious data access.
With the power of open source distributed systems like Hadoop, Kafka and much
more we were able to develop a data activity monitoring system that can scale,
identify and stop malicious access in real time.
Eagle allows admins to create standard access policies and rules for monitoring
HDFS, Hive and HBase data. Eagle also provides out of box machine learning
models for modeling user profiles based on user access behaviour and use the
model to alert on anomalies.
Current Status
Meritocracy
Eagle has been deployed in production at eBay for monitoring billions of events
per day from HDFS and Hive operations. From the start; the product has been
built with focus on high scalability and application extensibility in mind and
Eagle has demonstrated great performance in responding to suspicious events
instantly and great flexibility in defining policy.
Community
Eagle seeks to develop the developer and user communities during incubation.
Core Developers
Eagle is currently being designed and developed by engineers from eBay Inc. –
Edward Zhang, Hao Chen, Chaitali Gupta, Libin Sun, Jilin Jiang, Qingwen Zhao,
Senthil Kumar, Hemanth Dendukuri, Arun Manoharan. All of these core developers
have deep expertise in developing monitoring products for the Hadoop ecosystem.
Alignment
The ASF is a natural host for Eagle given that it is already the home of
Hadoop, HBase, Hive, Storm, Kafka, Spark and other emerging big data projects.
Eagle leverages lot of Apache open-source products. Eagle was designed to offer
real time insights into sensitive data access by actively monitoring the data
access on various data sets in hadoop and an extensible alerting framework with
a powerful policy engine. Eagle compliments the existing Hadoop platform area
by providing a comprehensive monitoring and alerting solution for detecting
sensitive data access threats based on preset policies and machine learning
models for user behaviour analysis.
Known Risks
Orphaned Products
The core developers of Eagle team work full time on this project. There is no
risk of Eagle getting orphaned since eBay is extensively using it in their
production Hadoop clusters and have plans to go beyond hadoop. For example,
currently there are 7 hadoop clusters and 2 of them are being monitored using
Hadoop Eagle in production. We have plans to extend it to all hadoop clusters
and eventually other data platforms. There are 10’s of policies onboarded and
actively monitored with plans to onboard more use case. We are very confident
that every hadoop cluster in the world will be monitored using Eagle for
securing the hadoop ecosystem by actively monitoring for data access on
sensitive data. We plan to extend and diversify this community further through
Apache. We presented Eagle at the hadoop summit in china and garnered interest
from different companies who use hadoop extensively.
Inexperience with Open Source
The core developers are all active users and followers of open source. They are
already committers and contributors to the Eagle Github project. All have been
involved with the source code that has been released under an open source
license, and several of them also have experience developing code in an open
source environment. Though the core set of Developers do not have Apache Open
Source experience, there are plans to onboard individuals with Apache open
source experience on to the project. Apache Kylin PMC members are also in the
same ebay organization. We work very closely with Apache Ranger committers and
are looking forward to find meaningful integrations to improve the security of
hadoop platform.
Homogenous Developers
The core developers are from eBay. Today the problem of monitoring data
activities to find and stop threats is a universal problem faced by all the
businesses. Apache Incubation process encourages an open and diverse
meritocratic community. Eagle intends to make every possible effort to build a
diverse, vibrant and involved community and has already received substantial
interest from various organizations.
Reliance on Salaried Developers
eBay invested in Eagle as the monitoring solution for Hadoop clusters and some
of its key engineers are working full time on the project. In addition, since
there is a growing need for securing sensitive data access we need a data
activity monitoring solution for Hadoop, we look forward to other Apache
developers and researchers to contribute to the project. Additional
contributors, including Apache committers have plans to join this effort
shortly. Also key to addressing the risk associated with relying on Salaried
developers from a single entity is to increase the diversity of the
contributors and actively lobby for Domain experts in the security space to
contribute. Eagle intends to do this.
Relationships with Other Apache Products
Eagle has a strong relationship and dependency with Apache Hadoop, HBase,
Spark, Kafka and Storm. Being part of Apache’s Incubation community, could help
with a closer collaboration among these projects and as well as others. An
Excessive Fascination with the Apache Brand Eagle is proposing to enter
incubation at Apache in order to help efforts to diversify the committer-base,
not so much to capitalize on the Apache brand. The Eagle project is in
production use already inside eBay, but is not expected to be an eBay product
for external customers. As such, the Eagle project is not seeking to use the
Apache brand as a marketing tool.
Documentation
Information about Eagle can be found at https://github.com/eBay/Eagle. The
following link provide more information about Eagle http://goeagle.io.
Initial Source
Eagle has been under development since 2014 by a team of engineers at eBay Inc.
It is currently hosted on Github.com under an Apache license 2.0 at
https://github.com/eBay/Eagle. Once in incubation we will be moving the code
base to apache git library.
External Dependencies
Eagle has the following external dependencies.
Basic
•JDK 1.7+
•Scala 2.10.4
•Apache Maven
•JUnit
•Log4j
•Slf4j
•Apache Commons
•Apache Commons Math3
•Jackson
•Siddhi CEP engine
Hadoop
•Apache Hadoop
•Apache HBase
•Apache Hive
•Apache Zookeeper
•Apache Curator
Apache Spark
•Spark Core Library
REST Service
•Jersey
Query
•Antlr
Stream processing
•Apache Storm
•Apache Kafka
Web
•AngularJS
•jQuery
•Bootstrap V3
•Moment JS
•Admin LTE
•html5shiv
•respond
•Fastclick
•Date Range Picker
•Flot JS
Cryptography
Eagle will eventually support encryption on the wire. This is not one of the
initial goals, and we do not expect Eagle to be a controlled export item due to
the use of encryption. Eagle supports but does not require the Kerberos
authentication mechanism to access secured Hadoop services.
Required Resources
Mailing List
•eagle-private for private PMC discussions
•eagle-dev for developers
•eagle-commits for all commits
•eagle-users for all eagle users
Subversion Directory
•Git is the preferred source control system.
Issue Tracking
•JIRA Eagle (Eagle)
Other Resources
The existing code already has unit tests so we will make use of existing Apache
continuous testing infrastructure. The resulting load should not be very large.
Initial Committers
•Seshu Adunuthula <sadunuthula at ebay dot com>
•Arun Manoharan <armanoharan at ebay dot com>
•Edward Zhang <yonzhang at ebay dot com>
•Hao Chen <hchen9 at ebay dot com>
•Chaitali Gupta <cgupta at ebay dot com>
•Libin Sun <libsun at ebay dot com>
•Jilin Jiang <jiljiang at ebay dot com>
•Qingwen Zhao <qingwzhao at ebay dot com>
•Hemanth Dendukuri <hdendukuri at ebay dot com>
•Senthil Kumar <senthilkumar at ebay dot com>
•Tan Chen <tanchen at ebay dot com>
Affiliations
The initial committers are employees of eBay Inc.
Sponsors
Champion
•Henry Saputra <hsaputra at apache dot org> - Apache IPMC member
Nominated Mentors
•Owen O’Malley < omalley at apache dot org > - Apache IPMC member, Hortonworks
•Henry Saputra <hsaputra at apache dot org> - Apache IPMC member
•Julian Hyde <jhyde at hortonworks dot com> - Apache IPMC member, Hortonworks
Sponsoring Entity
We are requesting the Incubator to sponsor this project.
--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com
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