+1 (binding) --Chris Nauroth
On 10/23/15, 7:11 AM, "Manoharan, Arun" <armanoha...@ebay.com> wrote: >Hello Everyone, > >Thanks for all the feedback on the Eagle Proposal. > >I would like to call for a [VOTE] on Eagle joining the ASF as an >incubation project. > >The vote is open for 72 hours: > >[ ] +1 accept Eagle in the Incubator >[ ] ±0 >[ ] -1 (please give reason) > >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 >user¹s 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 user¹s >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 today¹s businesses, which >makes data security one of the top priorities of today¹s 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 today¹s 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 >secured 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 >10¹s 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 Apache¹s 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<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> > > >Affiliations >The initial committers are employees of eBay Inc. > >Sponsors > >Champion >€Henry Saputra <hsaputra at apache dot org> - Apache IPMC member > >Nominated Mentors >€Owen O¹Malley < 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 >€Amareshwari Sriramdasu <amareshwari at apache dot org> - Apache IPMC >member >€Taylor Goetz <ptgoetz at apache dot org> - Apache IPMC member, >Hortonworks > >Sponsoring Entity >We are requesting the Incubator to sponsor this project. > --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
