Ashish Chhabria

Product Manager at @Microsoft

[The New Stack @thenewstack]

Top 5 Best Practices for Building Event-Driven Architectures Using Confluent and AWS Lambda https://t.co/vPh75LDKEa from @confluentinc by @ashishc1

[Gunnar Morling 🌍 @gunnarmorling]

Definitely a KIP to keep an eye on--KIP-932: Queues for Kafka. This will open up many more interesting use cases for Kafka. #KafkaSummit

[Ashish Chhabria @ashishc1]

Queues for Kafka!

[Jay Kreps @jaykreps]

7. Queuing in Kafka is one of the more exciting bits and there and those wanting to know more can check out KIP-932 for more details on the proposal. https://t.co/w687I1qIci

[Ashish Chhabria @ashishc1]

@rikhepworth @david_whitney @DanRosanova @confluentinc Appreciate the feedback here @david_whitney, we will take a look and sort this out. @rikhepworth thanks for looping @confluentinc in.

[Ashish Chhabria @ashishc1]

Best thing on the internet today!

[Tim Berglund @tlberglund]

You know, there are good reasons to run Kafka on-prem. And so many bad ones. Don't be like this guy.

https://t.co/9SHuPDSCp1

[Ashish Chhabria @ashishc1]

Get started with the Admin REST API v3 today - check out the documentation and samples at https://t.co/T7OH1BhGDh ! 6/6

[Ashish Chhabria @ashishc1]

The REST API v3 can enable you to build complex custom workflows in a language of your choice or with bleeding edge serverless options like AWS Lambda, Azure Functions, or Google Cloud functions. 5/6

[Ashish Chhabria @ashishc1]

With Produce and Consume v3 APIs, which are on the roadmap, you can utilize the same familiar and universal REST concepts to publish and subscribe to data from Confluent, without worrying about the complexities of stream processing. 4/6

[Ashish Chhabria @ashishc1]

Confluent strives to provide not just a comprehensive “Data in Motion'' solution, but a simple way for you to manage and access it. You saw this with ksqlDB - where we merged the power of Confluent’s stream processing capabilities with something as simple as SQL 1/6

[Ashish Chhabria @ashishc1]

With the Admin REST API v3, you can programmatically administer your Confluent cluster, create/manage/delete topics, manage cluster configurations, ACLs and even Cluster linking configurations! 3/6

[Ashish Chhabria @ashishc1]

On that same note, today, we’re excited to announce the general availability of Confluent Admin REST API v3 to democratize access to “Data in Motion”. REST is simple, familiar, and universal! And the Admin API v3 now has parity with the Kafka native API. 2/6

[Confluent @confluentinc]

Now live: the Confluent Q3 ‘21 Release! 📣 Our 1st quarterly release helps companies simplify data replication across cloud environments, broaden stream processing workloads, and cost-effectively store data without limits. Learn more: https://t.co/yGkuA4hOBM #DataInMotion

[Ashish Chhabria @ashishc1]

@TomKerkhove Thanks @TomKerkhove , hope had a great day with the little one!

[Ashish Chhabria @ashishc1]

It was a super special Father’s Day!

[Ashish Chhabria @ashishc1]

@Koltrast Thank you!

[Java at Microsoft @JavaAtMicrosoft]

30-minute challenge -- learn how to enable asynchronous messaging at cloud scale in #Java apps using Java Message Service (JMS) API and #Azure Service Bus. Take a break after lunch, relax, and start learning: https://t.co/Kgq1pqOua2

#springboot #javaee #MicrosoftLearn

[Ashish Chhabria @ashishc1]

@nzthiago @gmantri @Azure @AzureSupport Can be raised with a support request. 🙂

[Azure Event Grid @AzureEventGrid]

Welcome Azure Cache for Redis events to Event Grid!!! Take a look and be sure to try out one of our quickstarts😀 https://t.co/PFKv9HVlfj

[Wagner Silveira @WSilveiraNZ]

Yesterday we had a fantastic session on @ACSUG_NZ, presented by @DanielLarsenNZ! Dan did quite a deep dive on #servicebus #HA and #DR scenarios and gave quite practical advice on how to handle those. If you're interested, you can watch it now here: https://t.co/MarhhLsuvr

[Ashish Chhabria @ashishc1]

@iamVickyAV @starbuxman @sfeldman @spencerbgibb @david_syer @z_oleg Any specific reason to use the stream binder? Standard JMS use cases can benefit from the new JMS 2.0 functionality. The starter that uses the new functionality is under development.