Your First 90 Days
Accelerating Your Data Streaming Journey With Confluent
Successfully using any solution or platform starts with clear goal setting—the same holds true for your data streaming journey.
That’s why we focus on identifying streaming projects that connect back to current business needs and priorities with every new Confluent customer. Because it’s not just about setting data in motion. It’s about helping your team use the data streaming platform to unlock everything data can do for your business.
Your First 90 Days on Confluent
From the early stages of matching your business goals with technical strategy to the ongoing support post-onboarding, we’re always working toward your success.
We kick off the onboarding process by creating a personalized Onboarding Success Plan. This plan is designed around your specific goals and helps ensure your first three months on Confluent are setting your data streaming deployment up to achieve the results that matter most to your organization.
Here’s a sample timeline of our approach:
Your First Two Weeks
- Onboarding Success Plan created & delivered
- Onboarding Overview presentation
- Primary contacts confirmed to prevent access issues
- Zendesk Org created
- License Key Delivery
- Conduct initial Q&A and review sessions to address questions
- Provide recommendations for support and enablement resources
Your First Month
- Customer Success and Support teams assigned (when applicable)
- Premier customers attend office hours with Customer Service Technical Advisors (CSTAs)
- Conduct additional Q&A and review sessions to support onboarding of new users
- Monitor progress and reach out to address issues based Onboarding Success Plan goals
- Ensure all onboarding activities are completed
Your First 90 Days
- Provide additional enablement to ensure the customer on track with migration and/or identified use cases
- Conduct additional review sessions to address new questions on Confluent’s stream, connect, process & govern capabilities.
- Continue monitoring the progress to onboard users and stack on track with their goals
Get started with Confluent today
New signups receive $400 to spend during their first 30 days.
Data Streaming Success Stories
Millions
saved in engineering and Kafka operating costs
120+
pre-built connectors, built by Kafka experts
30%
lower compute costs with shift-left data processing
Data Streaming Unlocked for the Practitioner
The moment you or a practitioner on your team starts streaming data with Confluent, you’re just beginning your path to becoming a mature data streaming organization.
We provide you with the product onboarding and educational resources expertise, and data streaming platform you need to accelerate use cases like application modernization, event-driven microservices, real-time analytics, and so much more. Here’s how we recommend you get started:
I'm New to Kafka
Learning Apache Kafka® is essential if you want to build scalable, real-time data pipelines and stream processing applications.
As the demand for data-driven decision-making grows, Kafka's ability to handle high-throughput, fault-tolerant messaging makes it a valuable tool for integrating and processing large volumes of data across systems—which makes mastering its fundamentals an even more valuable skill to add to your toolbox.
Take the first step toward contributing to the real-time and event-driven solutions today's businesses need.
I'm Considering Confluent
Kafka is complicated—which means self-managing open source Kafka or a hosted service comes with significant costs and risk.
That’s why many organizations opt for a managed service, but the tradeoffs can make this a complicated decision. You need a service that reduces your operational overhead, delivers cloud-native scalability and reliability, while giving you all the tools you need to enable Kafka adoption internally.
Confluent does just that, while also easing the migration of your existing deployment with the support of our Professional Services team and our partners.
And with multiple deployment options, Confluent’s data streaming platform unlocks the full potential of your data, no matter where it lives. Try Confluent Cloud and see for yourself.
Unlocking New Use Cases—and More Business Value—Faster
Confluent and our extensive partner ecosystem are here to help you achieve your goals with data streaming. However your teams and business leverage Apache Kafka today®—not at all, with a single managed service, or with heterogenous deployments across different teams, our educational resources and data streaming experts are here to guide you.
I'm Ready for the Next Level
While Kafka is a powerful tool for streamlining data flows, it’s not enough on its own to address the complex data integration challenges many businesses face.
Real-time analytics, personalized experiences, and automated decision-making. To unlock these use cases, organizations need to untangle a web of point-to-point integrations across various systems, applications, and databases that lead to data silos and inefficiency.
Confluent’s complete data streaming platform delivers the integration, governance, and processing capabilities you need to solve this data mess and start building highly trustworthy, reusable, and discoverable data products.
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Data Streaming & the Future of the Data-Driven Organization
Confluent’s mission is to help you solve your most complex data challenges—including untangling the data mess that reaches across the organization.
Both technical practitioners and executives need to be aligned and enabled on using data streaming to build an organization that is more data-driven, innovative, and competitive than ever.
As your data streaming adoption scales and matures, your teams will unlock more responsive customer service, more reliable security & operations, and new AI capabilities. Here’s what that journey looks like for our customers:
Level 1:
Early Adoption
At this stage, individual project teams begin learning and experimenting with Kafka for specific use cases. Adoption is typically tech-led and driven from the bottom-up, with a focus on solving immediate technical challenges.
Level 2:
Initial Deployment
Teams start deploying Kafka for mission-critical use cases within individual lines of business (LOBs). The focus is on proving the value of the technology and establishing operational processes.
Level 3:
Expansion
Multiple teams across different LOBs begin using Kafka, leading to a more coordinated approach. However, adoption remains somewhat siloed, and there is a need for greater business awareness and budget allocation.
Level 4:
Enterprise Coordination
Disparate teams using Kafka start to combine forces, often implementing a Kafka-as-a-Service offering or a Center of Excellence. This stage requires senior-level sponsorship, a solid business case, and a budget to support enterprise-wide adoption.
Level 5:
Central Nervous System
Kafka becomes a central part of the organization's data infrastructure, managing critical data across multiple LOBs. The focus is on creating an enterprise-wide shared services platform, ensuring data governance, security, and business continuity.
Take the next step in your data streaming journey
Speak with one of our experts or get started now with $400 in free credits to use in your first 30 days.