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Quarterly Large Scale Production Engineering (LSPE) meet up

  • to
  • Yahoo!, Domlur, EGL

    (Yahoo Software Development India Pvt Ltd)."Torrey Pines", EGL Business Park, Near Dell Office, Off Indiranagar- Koramangala , Bangalore (map)

    12.931656 77.622696

  • Event Agenda and Speaker info

    10:45 - Registration

    11:00 - Tea

    11:15 - Opening and keynote

    11:30 - Alert Correlation at scale - Govindaluri Kishore and Reynold Perumpilly, Production SRE, LinkedIn

    This is a tool for NOC/SRE/Dev and other teams for troubleshooting issues impacting the site and or service in Production environment. It provides users an option to give the service name and time duration and it will provide the anomalies for the given service and its downstream services. The tool applies unsupervised machine learning algorithm to derive the result.

    Govindaluri works as a Production SRE at LinkedIn, where his team works on projects that help engineers in reducing MTTR and MTTD while troubleshooting the issues. He comes from Hyderabad and listens to music, plays cricket in his leisure.

    Reynold is working as a Production SRE at LinkedIn for the past one and half year. He works for the team whose main job responsibilities include assisting in restoring stability to services during site critical issues, developing tools and practice for improving MTTD & MTTR . His native place is Cochin, and he has been working in web hosting industry for 5 years before joining LinkedIn. Reynold's hobbies include watching movies, reading and traveling.

    12:15 - Persistent Storage with Kubernetes/ Openshift using Heketi - Ramakrishna Reddy, Contributor to Heketi

    Heketi ( https://github.com/heketi/heketi/) provides a RESTful management interface which can be used to manage the life cycle of GlusterFS volumes. With Heketi, cloud services like OpenStack Manila, Kubernetes, and OpenShift can dynamically provision GlusterFS volumes with any of the supported durability types. Heketi will automatically determine the location for bricks across the cluster, making sure to place bricks and its replicas across different failure domains. Heketi also supports any number of GlusterFS clusters, allowing cloud services to provide network file storage without being limited to a single GlusterFS cluster

    Ramakrishna Reddy, Ramky  is currently a Principal Engineer with Red Hat with the Storage Engineering Group. He is also a contributor to the Fedora Project.  Prior to Red Hat, he was an Independent Consultant, consulting in the Natural Language Processing, Machine Translation, Indic Text processing. He is a Free Software and OpenSource, Agile, extreme programming evangelist and is involved with the IndLinux project. Best Open Source Project, Linux Asia 2005. His interests lie in  I18N and l10N of software applications. He has spoken at various conferences including the Linux Foundation Collaboration Summit, PyCon USA, Pycon India and SciPy India Conference.  He can be reached on IRC on Freenode or OFTC with nick:: ramky / ramkrsna

    1:00 - Lunch

    2:00 - Fabric - Real-time stream processing framework: Shashank Gautam and Sathish Kumar K S, OLA

    Fabric is a scalable, practical and reliable real-time stream processing framework designed for easy operability and extension. The primary motivation for conception of Fabric was to solve the problem of streaming huge data from different application to different destination(DB/Queue/API etc) or publish to other high level applications) on large scale and in near real-time.

    Shashank is a software developer working with Ola for last 2 years. He belongs to data services team, responsible for the systems to ingest huge datasets into the system and make them available to different consumers, across the organistion. He has been working in the internet industry for 6+ years. Prior to Ola, He has worked with Hightail and Flipkart.

    2:45 - Real time central logging and visualization for Apache Storm clusters using Elasticsearch + Rsyslog : Karri, Yahoo

    Apache Storm is an open source real time distributed computation framework. Any given topology in Storm runs concurrently across multiple nodes in the cluster. At present, facilities provided by Apache Storm to access logs are limited. Logs are also stored locally, often resulting in loss. This talk is  about a system built using Rsyslog and Elasticsearch that aggregates logs real time and provides querying and visualization capabilities.

    Karri is working as a Production Engineer in Grid Ops team at Yahoo!. Grid Ops team provides Hadoop, HBase and Storm as a service to rest of teams at Yahoo! and he works on dealing with various operational and scaling problems associated with them.

    3:30 - Open forum. Tea, snacks and networking.


    Parking directions

    Enter into the EGL park from Koramangala Indiranagar intermediate ring road. The second building on your left is the venue, Yahoo!. This is the Torrey Pines building.  Ask the security for help and tell them that you have come for the #LSPE-IN event at Yahoo and they will help you park and entry.

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