Hi Arun, This proposal looks great. I would like to be an active contributor on this project. I bring with me the experience of Apache Ambari and developing the Ambari Metrics System.
Best Regards, Sid ________________________________________ From: Julian Hyde <jh...@apache.org> Sent: Wednesday, October 21, 2015 9:10 AM To: general@incubator.apache.org Subject: Re: [DISCUSS] Eagle incubator proposal My name is already on the list of mentors. I think this project fills an important need. Several of the initial committers were involved with Kylin and therefore know the Apache process. Julian > On Oct 20, 2015, at 11:58 AM, P. Taylor Goetz <ptgo...@gmail.com> wrote: > > I should also have some improved bandwidth both now that Kylin is nearing > graduation and for other reasons. I’ve been bogged down recently, but that’s > starting to change. > > If more mentors are desired, I’d be willing to help in that respect. > > -Taylor > >> On Oct 20, 2015, at 11:49 AM, Henry Saputra <henry.sapu...@gmail.com> wrote: >> >> Hi Ted, >> >> Since Kylin almost ready to graduate, I have more bandwidth to help with >> Eagle. >> >> But, you are right that current proposed mentors for Eagle seemed to >> be very busy with other podlings, so 1 or 2 additional mentors would >> be great. >> >> The good news is that the team consist some people from Kylin, for >> example Luke, which done great job helping Kylin to understand working >> with Apache way. >> So we have some help from initial committers who have done the rodeo before. >> >> - Henry >> >> On Mon, Oct 19, 2015 at 9:00 AM, Ted Dunning <ted.dunn...@gmail.com> wrote: >>> I would suggest that Owen O'Malley has not had enough time to be a viable >>> mentor recently and should not be on the list of mentors. >>> >>> Henry and Julian are good if their schedules permit. Henry, I know has >>> been mentoring a number of projects lately. >>> >>> >>> >>> On Mon, Oct 19, 2015 at 8:40 AM, Jean-Baptiste Onofré <j...@nanthrax.net> >>> wrote: >>> >>>> 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 >>>> >>>> --------------------------------------------------------------------- >>>> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org >>>> For additional commands, e-mail: general-h...@incubator.apache.org >>>> >>>> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org >> For additional commands, e-mail: general-h...@incubator.apache.org >> > --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
