Name: Understanding (and Optimizing) Your Kafka Costs
Start: 2024-06-27T21:17:00Z
End: 2024-06-27T21:17:43.000Z
Location: BrightTALK

This channel is designed to educate people on the usage and applications of Confluent. It is a great resource for staying updated on industry trends and learning about Confluent's latest offerings. Whether you are a beginner or an expert, this channel aims to provide valuable insights about Confluent and Apache Kafka.

Stream processing plays a critical role in the data streaming infrastructure stack, enabling developers to dynamically filter, join, aggregate, and transform data streams to support real-time applications and streaming data pipelines.

Apache Flink® is emerging as the de facto standard for stream processing due to its performance and features, but self-managing it, like other open source tools such as Apache Kafka®, can be challenging due to operational complexity, steep learning curve, and high in-house support costs.

Confluent Cloud for Apache Flink®, now generally available across all three major cloud service providers and backed by our 99.99% uptime SLA, enables simple, serverless stream processing that’s accessible and easy to use for everyone.

Our goal is to empower users to easily build high-quality, reusable data streams with the industry’s only cloud-native, serverless Apache Flink service, fully integrated with Apache Kafka on Confluent Cloud.

In this webinar, you’ll get a detailed overview of what’s new with our fully managed Flink service. You’ll also see a technical demo that incorporates all of the latest Flink enhancements on Confluent Cloud, including Actions, Stream Lineage integration, and more.

Simple, Serverless stream Processing with Confluent Cloud for Apache Flink®

Ready to modernize your data strategy? Join Confluent for a discussion and demo that outlines the power of a data mesh on Confluent Cloud.

In this webinar, you’ll learn how to implement the four key principles of a data mesh with Confluent Cloud and its Stream Governance capabilities and how to ensure high data quality, discoverability, and compatibility for your real-time Apache Kafka® data streams.

Confluent’s product team will also showcase the latest Stream Governance features that enable you to safely democratize access to Kafka data streams and accelerate the development of real-time data products for your organization.

How to Build a Data Mesh in Confluent Cloud with Stream Governance

Experience a new era of Apache Kafka® with KRaft, the modern consensus protocol that eliminates the need for ZooKeeper. Rather than managing two systems, KRaft simplifies your Kafka architecture by storing metadata within Kafka itself. This means no more learning about another distributed system, administering additional servers, or maintaining a separate security configuration for ZooKeeper.

In this webinar, we will walk you through two product demos to ensure you’re ready for ZooKeeper-less Kafka: one on how to get started with KRaft and the second on how to migrate to KRaft from an existing deployment. This webinar will also include a comprehensive checklist to ensure you are fully prepared to take advantage of this new architecture in your self-managed environments.

Learn how your organization can experience a simplified, more resilient way to administer, secure, and monitor your Kafka deployments with KRaft and Confluent.

Ready to break up with ZooKeeper? KRaft, you had me at hello

When we launched Confluent Cloud in 2017, we had a grand vision for what it would mean to offer Apache Kafka® in the cloud. It isn’t enough to just put Kafka on servers in AWS - just like S3 isn’t anything like running a dedicated NFS server per customer, or Snowflake isn’t just a bunch of Teradata warehouses on EC2.

Kora Engine, our Kafka engine built for the cloud, serves up the Kafka protocol for thousands of customers and over 30K+ clusters worldwide, and completely abstracts the operational burdens of self-managing Kafka.

Join this webinar, where we'll take you on a tour of how we re-architected Kafka's inner workings to develop the Kora Engine. You’ll see how Kora powers Confluent to be a truly cloud-native service that's 10x more efficient, faster, and easier to use.

Kafka Re-Architected for the Cloud with Kora Engine

Connectors integrate Apache Kafka® with external data systems, enabling you to move away from a brittle spaghetti architecture to one that is more streamlined, secure, and future-proof. However, if your team still spends multiple dev cycles building and managing connectors using just open source Kafka Connect, it’s time to consider a faster and cost-effective alternative.

Confluent provides a rich ecosystem of over 120 pre-built connectors created by Kafka experts so that you don’t have to build your own for popular data systems that everyone uses. Over 80 of them are also available as fully managed on Confluent Cloud, making it possible to integrate your data systems in minutes with just a few clicks. For homegrown systems and custom applications, Confluent also offers custom connectors where you can bring your connector plugins while we manage the underlying Connect infrastructure.

Fast, Frictionless, and Secure Integrations with Confluent’s Connector Portfolio

In this webinar, we’ll walk you through best practices for building a disaster recovery plan for your Kafka deployment(s) with Confluent to ensure your applications continuously run and automatically failover if and when an outage strikes.

We’ll also walk you through a technical demo showing you how to enable global data sharing with perfectly mirrored replication between clusters, regardless of what environments and geos they reside in. Through this demo, you’ll learn how to up your disaster recovery game by bringing resilient, cost-effective geo-replication solutions to any of your private environments.

Kafka + Disaster Recovery: Are You Ready?

Why has investing in real-time data streaming become crucial for financial organizations?

Join Kai Waehner, Global Field CTO at Confluent, as he takes a closer look at the data trends shaping the financial services industry today. From top global banking institutions to disruptive cloud-native fintechs, he will share his latest findings from conversations with customers around the world and explain how firms are overcoming their enterprise data architecture challenges for competitive edge.

Learn how data is put to practical use, from on premises to cloud, legacy systems to modern tech stacks, to enable real-time business applications.

The Strategic Value of Data Streaming In Financial Services

As one of the largest retailers in the US, with millions of customers across 20,000 stores, Dollar General knows a thing or two about customer satisfaction. But evolving customer expectations demanded a fresh approach to unlock the true potential of customer and operational data locked away in siloed systems.

In this fireside chat, you’ll hear from Dollar General’s Head of Merchandising and Supply Chain Engineering Suman Pattnaik on the reasons why Dollar General chose data streaming as a critical component of the organization’s data architecture.

How Dollar General Leverages Streaming Pipelines for Real-Time Retail Use Cases

A Conversation with Guest Speakers Forrester, Siemens, and AWS

Data streaming platforms are the key to turning your data mess of batch-oriented, point-to-point connections into data value. This isn’t just bolting on more tech or adding “streaming” as a feature to an existing data warehouse. Data streaming platforms connect all your applications, systems, and teams—across geographies and deployments—with a shared view of the most up-to-date, real-time data.

Forrester named Confluent a Leader in The Forrester Wave™: Streaming Data Platforms, Q4 2023. This evaluative report reflects growing investments, interest, and innovation in the data streaming platforms category. What was once a nice-to-have, is now indispensable table stakes for any organization to operate in real time.

But don’t just take it from us. Join Confluent for this webinar to hear from our guest speakers, leaders at Forrester, Siemens, and Amazon Web Services (AWS), about why data streaming platforms are essential to businesses everywhere.

Harnessing the Power of Data Streaming Platforms

Looking for simple ways to reduce your Kafka costs up to 60% and boost development velocity?

Unfortunately, properly assessing the cost of running Kafka can be a difficult task.

At Confluent, we've worked with thousands of customers to help them understand and right-size their Kafka-related spend to support all of their data streaming workloads — and we want to share the valuable insights into key cost drivers and optimization levers for Kafka that we've gained from helping these customers with you.

Understanding (and Optimizing) Your Kafka Costs

Apache Kafka

confluent

Enterprise Architecture

data pipelines

real-time data

costs

Benefits

fully managed

savings

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Understanding (and Optimizing) Your Kafka Costs

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