location_city Bengaluru schedule Mar 6th 03:00 - 03:20 PM place Tamarind people 37 Interested

All big organizations, even so-called "flat" or "networked" ones, are usually quite hierarchical in decision making. Any talk of Holacracy, Teal etc. is unrealistic in these places. In this presentation, Sriram argues that the underlying problem is not hierarchy itself but the opaqueness of decision making which is known to persist even in the absence of a formal hierarchy. He presents Cleararchy as a way to bring transparency, and thereby accountability and learnability, to decision making. This is necessary for decentralized decision making and true empowerment at lower levels of a big organization.


Outline/Structure of the Talk

Overview Talk

Learning Outcome

You will understand what Cleararchy is and how to use it to improve decision making in your org.

Target Audience

Organisations interested in decentralized decision making and true empowerment

schedule Submitted 3 years ago

  • 45 Mins

    You have great ideas. You're smart. The people in your organization are smart. Post Hoc, Ergo Propter Hoc -- the rest is easy -- simply make a transition plan and transparently explain the benefits. These and other organizational change myths will be tackled by Linda's talk about patterns for introducing new ideas. She will provide some useful tips for helping you start on Monday morning to grow, step by step, any innovation.

  • 45 Mins

    Digital success demands market-responsive teams that can truly solve problems and not just build some software. Software projects are a popular way of funding and organizing software development. They organize work into temporary, build-only teams and are funded with specific benefits projected in a business case. These methods are unsuited for these new demands. In this talk, Sriram presents an alternative to projects called Product-Mode. Product-mode uses durable, ideate-build-run teams working on a persistent business issue. Product-mode allows teams to reorient quickly, reduces their end-to-end cycle time, and allows validation of actual benefits by using short-cycle iterations while maintaining the architectural integrity of their software to preserve their long-term effectiveness. This approach is very popular among digital natives and is gaining ground with old-guard businesses.

  • Deepak Chopra

    Deepak Chopra - Auto Healing on Alerts from Network Monitoring Applications

    Deepak Chopra
    Deepak Chopra
    Global Vice President
    schedule 3 years ago
    Sold Out!
    20 Mins
    Experience Report

    Monitoring devices/servers/application is essential in network management. However, current monitoring systems are unable to recover their internal faulty entities forcing the network administrator to manually fix the occasionally broken monitoring solution. Network engineers are spending high level of non-value efforts on repetitive tasks like disk space cleanup, process restart, etc.hundreds of email alerts generated per day from various monitoring systems and only 10% of them are true or valid alerts which need network engineer’s attention 24/7.

    To address the above problem we have implemented a solution that automates incident management on Alerts received from various network monitoring tools. The major features of the tool include the following.

    • Automatically open tickets within ITSM tools like Service now, Remedy etc in response to system alerts generated from various monitoring systems such as Solarwinds, Nagios, SCOM etc via email, SNMP, CMD or web services.
    • Bot opens a ticket post making checks for any planned outages, existing tickets if any or if the alerts are real/bogus.
    • It executes automated workflow or troubleshoots or even remediates the problem for predefined repetitive issues (ex: checks and clean the disk space on servers).
    • The solution also automates updating the incident status with all relevant information, keeping all data for future investigation and closes the tickets in ITSM tools like service now.

    The benefits realized by the above solutions includes

    • Reduced monitoring efforts in identifying the false alerts
    • Auto-healing solutions on repeat issues for faster issues resolution
    • Increases efficiency in infrastructure support.

    The presentation will also talk about of our POV of how this transformation story of network self-healing can address IT issues that can get resolved immediately and quickly without anyone having to get involved. We focus on improving the existing solution to address two main areas

    1) Gain Real-time insights to identify the issues faster so we can fix them fast

    2) Proactive problem solving by leveraging Artificial Intelligence and Machine Learning technologies to learn and resolve them based on the patterns incurred in the past.