
Amandeep Midha
Principal IT Consultant
Copenhagen, Denmark
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Principal IT Consultant at BEC Financial Technologies, previously Fintech CTO and overall 18 years working and leading engineering teams including Cisco and Huawei. Member of Forbes Tech Council & Public speaker at many Tech events
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Ten Best Practice for Event Streaming Success
All aspects of event-driven design, streaming technology, and real-time systems essentially revolve around how we see data as events, how we model events and essentially the transition and transformations over the data. The pitfalls often come from thinking a domain itself like a legacy, short sights around composite entities like gerunds while modelling events, and more. In this talk I would present ten such practices which a team can keep in mind to ensure their event streaming work stays successful and impactful
1. Setting Expectations
2. You Are Not Trying To Build Legacy 2.0
3. Be Aware Of Business Gerunds
4. Don't Overinvest In A Single Platform
5. Upskilling With New Development Paradigms
6. Processing Topology Debugging Can Be Extremely Challenging
7. An Inefficient Topology/Data Pipeline Can Have Lasting Consequences
8. Handling Stateful Workloads
9. Frequently Changing Needs Can Pose Challenges
10. Centralized Ownership Can Be An Existential Threat
Above ten practices would be presented while showing actual examples what happened while developing and what could have been understood and done better , in lucid way
(Also based on my recently published article https://www.forbes.com/sites/forbestechcouncil/2022/05/19/10-best-practices-for-event-streaming-success/)
Success in Data Decoupling over Kafka using Fitness Functions
Verifying Kafka Streaming applications in data decoupling nature of projects comes with extreme constraints of potential data loss, processing errors, and other useful use of decoupled data for verification. This talk will present the problem which many large enterprises face while adopting on Kafka and how applied fitness functions in test could be the visible identifier of success
API Error Codes & User Experience
An improvised latest version of https://www.slideshare.net/amandeepmidha/rfc-7807-communicating-the-problem
1) Across Technology, not just REST but (maybe SOAP) and gRPC too
2) Also I would like to take few examples from Microservices Management, E-commerce, Fintech/Banking, and Two-phase commit transaction examples where API Error Codes and Messages can do much greater job than present we are used to from API Developer point of view
3) If possible, participants to come prepared with their developed APIs and troubleshooting questions they faced in production
DeveloperWeek Global Series 2020-2021 Sessionize Event

Amandeep Midha
Principal IT Consultant
Copenhagen, Denmark
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