📅 Next week on Azure Cosmos DB Live TV

Nov 3rd, 2022 1 PM PT / 4PM ET
Next time on #AzureCosmosDB Live TV, Mark Brown welcomes Jacob Bogie of Confluent to discuss using Confluent Connectors to get data from Azure Cosmos DB and into Confluent.

aka.ms/CosmosDBLiveTV

Integrating multiple legacy databases to the ☁️ can be a complex process—but it doesn’t have to be.

Join us on 11/3 for a live demo on building streaming pipelines from legacy ➡️ cloud databases with our fully-managed Change Data Capture connectors 👉 cnfl.io/3VAYg1n

'[Fun-to-use software dev tools] engender a better ability to iterate, change and be dynamic—and what’s not fun about that?'

Couldn't agree more, Kris Jenkins. 🫡

Be it for work or play, development should be fun. Adrían Bridgwater shares why on @forbes 👇
cnfl.io/3U2b9jp

What are the 6️⃣ things that everyone creating a production-grade Apache Kafka cluster should think about? Jun Rao joins Kris Jenkins in this episode of #StreamingAudio and shares recommendations for your real-time stream processing system. Learn more: cnfl.io/kafka-recommen…

In this new tutorial, learn how to use HashiCorp #Terraform and the Confluent provider to create a Kafka cluster and topic. hashi.co/3N7njVG

#ApacheKafka folks: what are some of the most interesting #streamprocessing use cases you've encountered? I'm looking for inspiration. 🤩 GO.

📣 Digital native companies: Are you ready to unlock new value?

Learn how we re-imagined Apache Kafka for the #cloud to enable:
👉 75% faster application development times
👉 60% lower management costs

Register now for our workshop with Amazon Web Services 👉 cnfl.io/3KYhJUy

As businesses balance cost-cutting ⚖️ efficiency, elasticity has become priority no. 1 in IT infrastructures.

But open source tools like #ApacheKafka often lack elasticity, leaving some orgs stuck with the costs.

The solution? Find it on The New Stack 👇
fal.cn/3t2lb

Dreaming of taking your on-prem data to the ☁️ in near real time?
Join our live lab on 10/28 at 10 am PT!

@mrlarrieu covers:
👉Exporting schemas & events from on-prem to #cloud in real-time
👉Processing mirrored data with ksqlDB
and more!

Sign up ➡️ cnfl.io/3VKyp71

Bring your 🔥 questions about Apache Kafka record production and consumption.

Nikoleta Verbeck (@NerdyNikoleta) will be answering anything and everything related to the common Kafka mistakes to avoid. Join our #AMA tomorrow at 9:00 AM PT here. 👇
fal.cn/3t0vQ

Stream smarter at #reInvent ! From sessions on building serverless applications & modernizing your data infrastructure to our 4️⃣ new demos, there’s so much to look forward to at #AWSreInvent . See all the ways to connect with us & we’ll see you in Vegas. 🎉 fal.cn/3t0dR

Missed #Current22 and looking for a recap? We’ve got you covered. Let’s take a look back at the incredible moments from the conference and explore what’s new and next in #datastreaming . fal.cn/3sWqz

🧑‍💻 Fully managed
🌐 Globally available
∞ Infinite storage capacity

These are just 3 of the perks that come from setting #DataInMotion . Want to see how they can take your projects to the next level?

Don’t miss our virtual workshop with @AWSCloud 👉 cnfl.io/3TbMoBh

ksqlDB 0.28.2 is here! cnfl.io/announcing-ksq…

This release also includes significant improvements in Confluent Cloud, including Terraform support, faster provisioning, larger clusters, better observability, and an automatic topic import wizard:

Have questions about building, maintaining, and improving Apache Kafka systems? Nikoleta Verbeck has answers.

Join our first AMA in the Confluent Community Slack channel on 10/25 at 9 AM PT & get her advice on how to solve the most common Kafka issues.
fal.cn/3sUzp

🤔 Building a real-time data system without stateful stream processing? Join Kris Jenkins on #StreamingAudio as Ralph Matthias Debusmann shares Forecasty.AI's journey from batch to stream processing using Apache Kafka and his Kafka Shell—𝘬𝘢𝘴𝘩.𝘱𝘺: cnfl.io/forecasty-ai-r…