Confluent

T+1 and Beyond: Transforming Trade Settlement for Modern Markets With Confluent

<p>In the capital markets, the adage “time is money” applies even after the trade is made. Investors who want to gain quicker access to their funds are confined by a post-trade settlement process that still relies on batch processing.</p>

The Show Must Go On: How Network Automation with Confluent Helps BT Stream TV Signals Across the UK

<p>British Telecom (BT) is a multinational telecommunications company headquartered in London, England. It was founded in 1980 and has since grown to become one of the largest telecommunications companies in the world, providing a wide range of services including fixed-line services, broadband, mobile.</p>

Introducing Enhanced Confluent Access Management via Azure Portal for Streamlined User Authentication

<p>Confluent Access Management, developed alongside Microsoft Azure, allows organization admins to add and manage users and user permissions after they are created via the Azure portal. See how it works.</p>

Digitizing Customer Experience in the Travel Industry

<p>Whether on shore or on land, cruise companies need to be moving fast and in real time to bring customers stellar experiences. See how a real-time data streaming platform can bridge the gaps for smooth sailing.</p>

Simplify and Accelerate Your Data Streaming Workloads With an Intuitive User Experience

<p>Our latest updates to Confluent Cloud focus on enabling customers to realize a seamless experience using our data streaming platform. With these improvements, we aim to provide a more streamlined and secure experience, allowing users to focus on leveraging real-time data to drive business outcomes.</p>

Careers in Development: What It’s Like to be a Software Engineer in the Observability Team at Confluent

<p>Ratish had been monitoring Confluent’s growth and performance for some time and upon speaking with the team, he was convinced that Confluent would be an excellent place to work, especially given the number of talented engineers that he knew previously, who had also joined the business.</p>

Monolith to Event-Driven Microservices: 5 Tips for Securing Business Buy-In

<p>When you are focused on protecting more than 500 million people worldwide, you’re always exploring avenues that can get you to the next frontier of empowering individuals against cyber threats.</p>

Making Flink Serverless, With Queries for Less Than a Penny

<p>Imagine easily enriching data streams and building stream processing applications in the cloud, without worrying about capacity planning, infrastructure and runtime upgrades, or performance monitoring. That's where our serverless Apache Flink® service comes in.</p>

Real-Time Field Service Optimization

<p>It's estimated that by 2024, global spending on telecom services will exceed $1.5 trillion. As the critical enabler of growth and innovation across many industries, telecommunication service providers are adopting a cloud-first approach to accelerate time to market, integrate with leading...</p>

Confluent placed as a ‘Niche Player’ in the 2023 Gartner® Magic Quadrant™ for Data Integration Tools

<p>Gartner has placed Confluent as a “Niche Player” in the 2023 Gartner Data Integration Tools Magic Quadrant*, noting this key strength: “Depth of data streaming/Apache Kafka understanding and support: Confluent has comprehensive stand-alone and fully managed service offerings for Apache Kafka..."</p>

Confluent Recognized as a Leader in The Forrester Wave:™ Streaming Data Platforms, Q4 2023

Learn Confluent’s benefits as a leader among streaming data platforms, innovating every industry with real-time stream processing and analytics, cloud-native Apache Kafka, and robust developer tooling.

Enterprise Apache Kafka Cluster Strategies: Insights and Best Practices

<p>As companies increase their use of real-time data, we have seen the proliferation of Kafka clusters within many enterprises. Often, siloed application and infrastructure teams set up and manage new clusters to solve new use cases as they arise. In many large, complex enterprises, this organic growth</p>

Delivering Real-Time Manufacturing Predictive Maintenance

<p>Machines in motion, much like data in motion, require an engine to drive their journey. While Confluent and Apache Kafka® are your data-based engine, transitioning the perspective from software and data to hardware requires a more literal engine. No matter the machine—planes, trains, or automobiles</p>

Introducing Data Portal in Stream Governance

<p>Today, we’re excited to announce the general availability of Data Portal on Confluent Cloud. Data Portal is built on top of Stream Governance, the industry’s only fully managed data governance suite for Apache Kafka® and data streaming.</p>

Life Happens in Real Time, Not in Batches: AI Is Better With Data Streaming

<p>From fraud prevention, autonomous vehicles, voice assistants, and intelligent cybersecurity systems that protect our networks, to recommendation engines, dynamic pricing, and predictive maintenance, streaming analytics infused with AI and machine learning (ML)...</p>

A Deep Dive Into Sending With librdkafka

<p>Learn how to interact with the librdkafka library when sending and how to handle errors correctly. Take a deepdive into the internal mechanics of the library.</p>

Modernizing Core Banking Systems With Confluent

<p>Over years of managing the data streaming needs of top global financial institutions, our system engineers and field CTOs have amassed a wealth of expertise around the critical path to modernizing a core banking system.</p>

The Future of Business Analytics: Artificial Intelligence and Data Streaming

<p>In 2023, business analytics and business intelligence have both been around for long enough to have been adopted by most companies as a requirement for effectively operating their businesses. With this has come whole ecosystems of tools and technologies to capture, process, and glean insights...</p>

Announcing Apache Flink 1.18

<p>The Apache Flink PMC is pleased to announce the release of Apache Flink 1.18.0. As usual, we are looking at a packed release with a wide variety of improvements and new features. Overall, 174 people contributed to this release completing 18 FLIPS and 700+ issues.</p>

Apache Kafka Troubleshooting Doesn’t Need to Be Scary: Essential Resources for Developers

<p>With Halloween just a few days away and temperatures dropping (in most parts of the world!), it’s safe to say that we’re right in the middle of “spooky season.” And while ghosts and ghouls may bring delight to those who enjoy a scary movie or two, there’s one nightmarish creature..</p>

Getting Started with Generative AI

<p>This series of blog posts will take you on a journey from absolute beginner (where I was a few months ago) to building a fully functioning, scalable application. Our example Gen AI application will use the Kappa Architecture as the architectural foundation.</p>

Q&A—How Cloud Services Are Helping NASA Take Kafka Farther, Faster

<p>Winner of the Data Streaming Company of the Year award in 2022, NASA has already been recognized for its advanced use of Apache Kafka®. What the organization has already achieved with data streaming is impressive, but the agency’s unique internal structure</p>

Announcing Confluent Partner Awards

<p>We’re recognizing excellence across the Data Streaming Ecosystem. For the first time, Confluent is thrilled to honor a subset of Partners who have demonstrated exceptional commitment and gone above and beyond to deliver joint Customer value in FY23...</p>

Service NSW Creates a Single View of Citizen Customers with Stream Processing

<p>Supporting citizen customers is the basic function of government, but the ways in which agencies do so has changed a lot over the years. Where once paperwork and long queues were default customer experiences for customers, digitization has made possible a much more streamlined...</p>

Using Data Contracts with Confluent Schema Registry

<p>Confluent Schema Registry, both in Confluent Platform Enterprise and Confluent Cloud, now supports the use of data contracts. In this article, we'll walk through an example of enhancing a schema to be a full-fledged data contract.</p>

Real-Time Inventory in Retail with Confluent Cloud

<p>The landscape for how a business interacts with its customers has changed dramatically over the last several years. No longer is day-old data acceptable to customers or the business. One of the sectors most impacted by this seismic change has been retail...</p>

Public Sector Summit to Feature Data Innovators Sharing Best Practices

<p>The record-breaking attendance at our last two DC-area Data in Motion tour events told us there is a thirst for information on how to implement data streaming in government environments, whether you’re improving services, incorporating IoT data, or complying with new regulations and mandates.</p>

Life Happens in Real Time, Not in Batches: Choosing a Data Streaming Platform and Stream Processing Engine

<p>Stream processing flips the data processing paradigm – from store then process (as in batch process) to process then store if needed. In data streaming, analytical queries are predefined and computed, and data flows over the queries. This changed paradigm requires comprehending new concepts...</p>

Introducing Apache Kafka 3.6

<p>Apache Kafka 3.6 is here! This release includes Tiered Storage (Early Access), the ability to migrate clusters from ZooKeeper to KRaft with no downtime, the addition of a grace period to stream-table joins, &#x26; more!</p>

Meet Sinan, Our October 2023 Confluent Champion

<p>Account Executive Sinan Ezer will tell you that it was the energy he felt during the interview process that drew him to Confluent. Three years in, he currently leads the sales team in Turkey. Let’s learn more about what Sinan’s typical work day looks like...</p>

Building the Yellow Brick Road to Data-Centric Security

<p>Explore data-centric security solutions, akin to the yellow brick road journey. Unify security efforts, prioritize data, and modernize SIEM tools for comprehensive protection. Join Confluent's Mike Peacock on Oct 12 for transformative insights and examples.</p>

How Industry Experts Across APAC Are Tackling Challenges with Streaming

<p>The benefits of data streaming are numerous—hundreds of organizations have reported increased profitability, better business responsiveness, and multiplying ROI. But understanding just how these organizations achieved these results—and the practical tips and steps to get there—is where things...</p>

Unleashing the Potential of Demand Forecasting with Data Streaming

<p>Data is a crucial asset for businesses in the digital age, serving as a foundation for informed decision-making and driving strategic growth. In today's highly competitive landscape, companies that harness and analyze data effectively gain a significant competitive advantage. Data provides value...</p>

Data Streaming and Artificial Intelligence: The Future of Real-Time Social Media Monitoring

<p>Artificial intelligence (AI) is playing an increasingly important role in social media. It’s helping to improve the user experience, provide better customer support, and help businesses make more informed decisions. The list of AI-driven applications in social media is continually growing...</p>

Building Customer Engagement One Store at a Time

<p>Personalization has been the gold standard for online customer interactions for a decade. Companies began with rough segmentation based on tagging content to measure marketing interactions and online behavior patterns. Now, with increased data across companies, a huge SaaS footprint of business...</p>

Top 5 Best Practices for Building Event-Driven Architectures Using Confluent and AWS Lambda

<p>Learn the best practices for integrating Confluent with AWS Lambda to build event-driven architectures.</p>

From Outages to On-Time Delivery: How Confluent Cloud Transformed a Delivery Company's Data Infrastructure

<p>Today’s consumers expect their orders to be fulfilled rapidly. Retail giants like Amazon, Target, and Walmart all offer same day delivery, and consumers now demand the same from other retailers; according to a recent study by McKinsey...</p>

Apache Kafka Message Compression

<p>Learn about the role of batch.size and linger.ms in data compression.</p>

Introducing Confluent’s Financial Services Resource Center Your one-stop shop for all things data streaming in finance and banking

<p>From traditional brick-and-mortar institutions to digitally native financial services companies, data streaming is fueling the next wave of emerging tech in finance and banking...</p>

IoT Data Integration for Real-Time Processing with Confluent Cloud and MQTT

<p>From locomotive analytics companies tracking predictive maintenance data, to digital-native companies tracking semi-trailer trucks’ movement across America’s highways, or municipalities using 100’s of buses to move people around their city, Confluent has seen it all...</p>

Dataflow Programming with Apache Flink and Apache Kafka

<p>Learn how to build a Java pipeline that consumes clickstream data from Apache Kafka®. Consuming clickstreams is something that many businesses have a use for and it can also be generalized to consuming other types of streaming data.</p>

Building a Real-Time Service Marketplace with Confluent Cloud

<p>As the world’s population continues to increase, so does the need for new infrastructure, buildings and housing, automatically increasing the demand for tradespeople. Whether it's an electrician, a plumber, or an HVAC technician...</p>

Your Guide to Flink SQL: An In-Depth Exploration

<p>Dive into Flink SQL, a powerful data processing engine that allows you to process and analyze large volumes of data in real time. We’ll cover how Flink SQL relates to the other Flink APIs and showcase some of its built-in functions and operations with syntax examples.</p>

Announcing Confluent’s Data Streaming Startup Challenge

<p>Just under a year ago, Confluent announced the Confluent for Startups program, which provides Confluent Cloud credits to early stage startups trying to get their streaming initiatives off the ground. Since then, we’ve worked with over 150 startups...</p>

Supercharge Customer Onboarding with Event-Driven Microservices and Confluent Cloud

<p>In today's rapidly evolving digital age, organizations across various sectors are leveraging technology to provide great customer experiences. One of the most important touchpoints in this journey is the 'Customer Onboarding' process...</p>

Developing a Career at Confluent: Collaboration Is Key

<p>Senior Software Engineer Yash Mayya shares his path to Confluent, his work on Kafka Connect, and how he plans to keep growing his career.</p>

Introducing Versioned State Store in Kafka Streams

<p>Versioned key-value state stores, introduced to Kafka Streams in 3.5, enhance stateful processing capabilities by allowing users to store multiple record versions per key, rather than only the single latest version per key as is the case for existing key-value stores today...</p>

Powering Renewable Energy with Data Streaming

<p>See how Powerledger uses data streaming to facilitate peer-to-peer trading of renewable electricity.</p>

Life Happens in Real Time, Not in Batches: The Business Value of Real-Time Streaming

<p>Capturing and using streaming data in real time is essential today. Industry expert Sumit Pal explains why, and where managed services fit in.</p>

How Alex Bank Built a Real-Time Banking Experience with Confluent

<p>Most people are not jumping for joy at the prospect of taking out a loan, or even going to the bank. If anything, banking is a chore (and not a very exciting one). But what if banking was fast, simple, and easier to understand?</p>

Stream Processing Simplified: An Inside Look at Flink for Kafka Users

<p>Learn why stream processing is such a critical component of the data streaming stack, why developers are choosing Apache Flink as their stream processing framework of choice, and how to use Flink with Kafka.</p>

Confluent Champion: Niki Kapsi’s Journey From SDR to Commercial Account Executive

<p>For Niki Kapsi, commercial account executive at Confluent, it’s the “entrepreneurial” aspect of her role that she’s the most excited about.</p> <p>Let’s learn more about how Niki got to Confluent—and how the company fosters a culture of learning and growth that keeps her driven and motivated.</p>

How Let’s Encrypt Powers Confluent Cloud to Automate Its Certificate Operations

<p>Confluent Cloud has chosen Let’s Encrypt as its Certificate Authority and leverages its automation features to spend less time managing certificates and more time building private networking features.</p>

Missed out on Camp Confluent? Find Out What Went Down at the Hottest Tech Camp of the Season

<p>When I say summer, you say… beach, popsicles, and camping.</p> <p>And this summer, I went camping (albeit virtually) with Camp Confluent—a three-week (July 10-28) immersive learning experience focused on all things data streaming.</p>

Confluent Receives Financial Services Technology Competency from AWS: Unlocking New Possibilities for the Banking Sector

<p>I’m thrilled to announce that Confluent has received the Financial Services Competency from AWS. The AWS Competency Program recognizes and promotes AWS Partners who exhibit technical expertise and customer success, enabling them to market and differentiate their businesses to AWS customers...</p>

Real-Time AI: Live Recommendations Using Confluent and Rockset

<p>Real-time AI is the future, and AI/ML models have demonstrated incredible potential for predicting and generating media in various business domains. For the best results, these models must be informed by relevant data.</p>

What Is an Apache Kafka Cluster? (And Why You Should Care)

<p>Learn the basics of what an Apache Kafka cluster is and how they work, from brokers to partitions, how they balance load, and how they handle replication, and leader and replica failures.</p>

Moving Up the Curve: 5 Tips For Enabling Enterprise-Wide Data Streaming

<p>Confluent recently released its 2023 Data Streaming Report: Moving Up the Maturity Curve”. The report found that data streaming is delivering business value with IT leaders driving up to 10x return on investment.</p>

How Apna, Glance, & Meesho Are Innovating with Data Streaming For Consumers in India

<p>What do Apna, India’s largest hiring platform currently connecting 40 million job seekers to 445,000 employers across 174 cities, Meesho, India’s fastest ecommerce platform to cross one million registered sellers, and Glance, InMobi-owned live lock screen infotainment...</p>

The Importance of Standardized Hashing Across Producers

<p>When developing streaming applications, one crucial aspect that often goes unnoticed is the default partitioning behavior of Java and non-Java producers. This disparity can result in data mismatches and inconsistencies, posing challenges for developers.</p>

Two Ways to Build Event-Driven Serverless Applications Using Confluent Cloud and AWS Lambda

<p>AWS Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service. Lambda functions and Kafka topics can be combined to build scalable event-driven architectures that can fit many use cases across almost any industry.</p>

Delivery Guarantees and the Ethics of Teleportation

<p>This blog post discusses the two generals problems, how it impacts message delivery guarantees, and how those guarantees would affect a futuristic technology such as teleportation.</p>

​​Kafka Summit London 2023: Level Up Your Kafka Experience!

<p>Hi there, it’s me, Danica Fine, your friendly neighborhood Kafka Summit London Program Committee Chair. Kafka Summit London 2023 is in just over two weeks, and I’ll be joining our incredible community members at the ExCeL in London to talk all things Apache Kafka® over two jam-packed days.</p>

Understanding and Optimizing Your Kafka Costs – Part 1: Infrastructure

<p>It's hard to properly calculate the cost of running Kafka. In part 1 of 4, learn to calculate your Kafka costs based on your infrastructure, networking, and cloud usage.</p>

3 Reasons Why Storyblocks Trusts Confluent To Put Their Data In Motion

<p>Storyblocks is the world’s first stock media subscription service offering video, audio, and images. To support this fast-growing business, our Storyblocks platform produces millions of events every day, ranging from video metadata and encoding events to billing transaction events.</p>

Meet Steven, Our April 2023 Confluent Champion

<p>When Steven Zhang graduated from college in 2019, he, was searching for intellectually-stimulating work. That search led him to Confluent. Four years in, Steven currently works as a senior software engineer in the Stream Processing and Analytics organization</p>

6 Questions with a CPO: Why You Should Put Your Data in Motion

<p>Shaun Clowes, Confluent’s Chief Product Officer since December of last year, will tell you data is the lifeblood of modern organizations. But he will also tell you he isn’t a big fan of the word “data.”</p>

Top 5 Data Technology Trends: Govern It, Stream It, Set It Free

<p>Capturing tech trends has become a bit tricky these days: whatever industry you’re in, uncertainty abounds. Planning has become harder, but businesses are finding new ways to innovate and respond quickly to fast-changing market conditions.</p>

Unknown Magic Byte! How to Address Magic Byte Errors in Apache Kafka

<p>If you’ve been working with Kafka Streams and have seen an “unknown magic byte” error, you might be wondering what a magic byte is in the first place, and also, how to resolve the error. This post explains the answers to both questions.</p>

Putting the National Cybersecurity Strategy in Motion

<p>The National Cybersecurity Strategy released by the Biden-Harris administration in March 2023 was designed to provide direction for developing and evolving the digital ecosystem that will become a key line of defense for the security of our nation</p>

The BEST Resources to Level Up Your Data Streaming Knowledge!

<p>Spring has arrived in the northern hemisphere, and as we delight in the sight of flowers blossoming, trees budding, and greenery sprouting, we're reminded of the promise of brighter and warmer days ahead.</p>

Uniting the Machine Learning and Data Streaming Ecosystems - Part 2

<p>The ML and data streaming markets have socio-technical blockers between them, but they are finally coming together. Apache Kafka and stream processing solutions are a perfect match for data-hungry models.</p>

Q&A on Building a Mortgage Company Customers Love with Stream Processing

<p>Over the last decade, financial services companies have doubled down on using real-time capabilities to differentiate themselves from the competition and become more efficient. This trend has had a huge impact on customer experience in banking especially, and home mortgage company Mr. Cooper</p>

Data Contracts, More Than Just APIs?

<p>Breaking encapsulation has led to a decade of problems for data teams. But is the solution just to tell data teams to use APIs instead of extracting data from databases? The answer is no. Breaking encapsulation was never the goal, only a symptom of data and software teams not working together.</p>

Meeting Data Wellness Needs in the Healthcare Industry

Trusted healthcare puts Confluent at the heart of their organization to access data in real time to enable discovery of new insights and meet the needs of patients

Confluent Achieves Google Cloud Ready - AlloyDB Designation

<p>Confluent has successfully achieved Google Cloud Ready - AlloyDB designation for AlloyDB for PostgreSQL, Google Cloud’s newest fully managed PostgreSQL-compatible database service for the most demanding enterprise database workloads.</p>

Uniting the Machine Learning and Data Streaming Ecosystems - Part 1

<p>Apache Kafka and stream processing solutions are a perfect match for data-hungry models. Our community’s solutions can form a critical part of a machine learning platform, enabling machine learning engineers to deliver real-time MLOps strategies.</p>

Stream Processing in Your Native Tongue

<p>Stream processing has long forced an uncomfortable trade-off: choose a framework based on its power, or in your preferred programming language. GraalVM may offer an alternative solution to avoid having to choose.</p>

What I Learned at Data in Motion Tour, Boston—And What You Missed

<p>Boston is a city of many firsts. The first public park, the first public school, the first UFO sighting in America. And, we just added one more to the list: The first stop in North America for our Data in Motion Tour this year.</p>

Whatever happened to Big Data?

<p>The big data revolution of the early 2000s saw rapid growth in data creation, storage, and processing. A new set of architectures, tools, and technologies emerged to meet the demand. But what of big data today? You seldom hear of it anymore. Where has it gone?</p>

Create Stream Designer Pipelines with the Confluent CLI and Pipelines API

<p>Use the Confluent CLI and API to create Stream Designer pipelines from SQL source code.</p>

Real-Time or Real Value? Assessing the Benefits of Event Streaming

<p>Experienced technology leaders know that adopting a new technology can be risky. Often, we are unable to distinguish between those investments that will be transformational and those that won’t be worthwhile. This post examines how one can decide if event streaming makes sense for them.</p>

Streaming Data Product Lifecycle Management

<p>Learn how modern data management approaches like data mesh and event-driven architecture (EDA) can be used to manage data platforms and how to take advantage of them.</p>

What Makes Working for Confluent Special? Opportunity to Work with Revolutionary Technology

<p>When Jade Bowen joined Confluent as an account executive for the enterprise market and 11th employee in the ANZ region, there was only one client for her to work with. Three years later, she’s heading up the entire APAC Customer Success team.</p>

With Data, Trust Comes First

<p>Perhaps the largest challenge for modern data teams is gaining and retaining trust. The challenge of Big Data has come and gone, now we face the challenge of Untrustworthy Data, which will be one of the core focal points of the data space in 2023 and beyond.</p>

Getting Started with Python for Apache Kafka

<p>Get an introduction to why Python is becoming a popular language for developing Apache Kafka client applications. You will learn about several benefits that Kafka developers gain by using the Python language.</p>

Meet Marcus, Our February 2023 Confluent Champion

<p>Three years in, Marcus Greer is still excited about the work he does at Confluent. As a software engineer in the Cloud Manageability organization, Marcus helps make customers’ lives easier – giving them insight into the complex systems their businesses depend on.</p>

Multi-Geo Replication 101 for Apache Kafka: The What, How, and Why

<p>Discover tools, practices, and patterns for planning geo-replicated Apache Kafka deployments to build reliable, scalable, secure, and globally distributed data pipelines that meet your business needs.</p>

Introducing the OCTOlog

<p>The OCTOlog is a weekly publication of noteworthy concepts, trends, and technologies relevant to the data streaming landscape—by Confluent’s Office of the CTO (OCTO).</p>

Combining CDC Transactional Messages Using Kafka Streams

<p>An Approach to combining Change Data Capture (CDC) messages from a relational database into transactional messages using Kafka Streams.</p>

Apache Kafka with Control and Data Planes

<p>This post details how to minimize internal messaging within Confluent platform clusters. Service mesh and containerized applications have popularized the idea of control and data planes. This post applies it to the Confluent platform clusters and highlights its use in Confluent Cloud.</p>

Succeeding with Change Data Capture

<p>Change data capture (CDC) converts all the changes that occur inside your database into events and publishes them to an event stream. You can then use these events to power analytics, drive operational use cases, hydrate databases, and more. The pattern is enjoying wider adoption than ever before.</p>

Confluent + Immerok: Cloud Native Kafka Meets Cloud Native Flink

<p>I'm excited to share our intent to acquire Immerok! Together, we’ll build a cloud-native service for Apache Flink that delivers the same simplicity, security, and scalability that you expect from Confluent for Kafka.</p>

Put Your Data to Work: Top 5 Data Technology Trends for 2023

<p>Capturing tech trends has become a bit tricky these days: whatever industry you’re in, uncertainty abounds. That’s made planning more difficult, but businesses are finding new ways to innovate with emerging technology and respond quickly to fast-changing market conditions.</p>

Building Event Streaming Applications in .NET

<p>In this post, we introduce how to use .NET Kafka clients along with the Task Parallel Library to build a robust, high-throughput event streaming application...</p>

What Are Apache Kafka Consumer Group IDs?

<p>Learn why configuring consumer Group IDs are a crucial part of designing your consumer application. By the end of this post, you’ll understand the impact they have on three areas: work sharing, new data detection, and data recovery.</p>

How Fully Managed Connectors Make Apache Kafka Easier

<p>Self-managing connectors come with major time and resource challenges and taking on unnecessary risks of downtime that shift your team’s focus away from working on more strategic projects and innovations...</p>

Modernize Your Mainframe With Confluent on IBM zSystems

<p>Today, 92% of the world’s top 100 banks and 72% of the top 25 retailers use mainframes to deliver secure, highly reliable data for their customers. Citigroup even estimates that while banks spend over $200 billion a year on IT, nearly 80% of that money goes towards maintaining mainframe-dependent</p>

Data pipelines: The what, why, and how

<p>Over the last decade, there’s been a massive movement toward digitization. Enterprises are defining their business models, products, and services to innovate, thrive, and compete by being able to quickly discover, understand, and apply their data assets to power real-time use cases.</p>

Diagnose and Debug Apache Kafka Issues: Understanding Increased Connections

<p>If you’ve used Kafka for any amount of time you’ve likely heard about connections; the most common place that they come up is in regard to clients. Sure, producer and consumer clients connect to the cluster to do their jobs, but it doesn’t stop there. Nearly all interactions across a cluster...</p>

Observability of Confluent Platform on AWS EKS with DataDog

<p>Setting up proactive, synthetic monitoring is critical for complex, distributed systems like Apache Kafka®, especially when deployed on Kubernetes and where the end-user experience is concerned, and is paramount for healthy real-time data pipelines...</p>

A (Stream Processing Use Case) Recipe for Thankfulness

<p>This Thanksgiving-themed blog post walks through a brand new stream processing use case recipe for analyzing survey responses in real-time and gives ideas for how to spice it up and make the recipe your own!</p>

Write What You Know: Turning Your Apache Kafka® Knowledge into a Technical Talk

<p>The call for papers for Kafka Summit London 2023 has opened, and we’re looking to hear about your experiences using and working with Kafka. Every great technical talk starts with an experience. If you’re stuck looking for ideas on what to talk about, write what you know...</p>

Migrating Confluent Cloud’s Most Critical Services into a New Deployment Management Platform

<p>Confluent Cloud hosts Apache Kafka®, Kafka Connect, ksqlDB, and more. Here’s how we re-architected the system for a new deployment platform with zero downtime...</p>

Diagnose and Debug Apache Kafka Issues: Understanding Increased Consumer Rebalance Time

<p>Rebalancing comes into play in Apache Kafka® when consumers join or leave a consumer group. In either case, there is a different number of consumers over which to distribute the partitions from the topic(s), and, so, they must be redistributed and rebalanced....</p>

Diagnose and Debug Apache Kafka Issues: Understanding Increased Request Rate, Response Time, and/or Broker Load

<p>It can be easy to go about life without thinking about them, but requests are an important part of Apache Kafka; they form the basis of how clients interact with data as it moves into and out of Kafka topics, and, in certain cases, too many requests can have a negative impact on your brokers...</p>

What’s New in Apache Kafka 3.3

We are proud to announce the release of Apache Kafka® 3.3 on behalf of the Apache Kafka community. The 3.3 release contains many new features and improvements. This blog post

Confluent for Startups: Get it right from the start

Great businesses are built on making the right tradeoffs, and that’s particularly true for startups. At an early stage, a startup’s choices around how and where to deploy its limited

Ventana Report: Why Centralized Data Governance is Top of Mind

In every industry, real-time data, event-driven systems, and the use of Apache Kafka® have ramped up to the point of being indispensable to business. In fact, streaming data is growing

Excited to be back at Google Cloud Next 2022!

Here at Confluent we are excited to be participating once again in Google Cloud Next, taking place from Oct 11-13, 2022. We hope to see you there to hear more

Getting Started with the Confluent Terraform Provider

As part of our recent Q3 Launch for Confluent Cloud we announced the general availability of the Confluent Terraform Provider. HashiCorp Terraform is an Infrastructure as Code tool that lets

Event-Driven Microservices with Python and Apache Kafka

Our journey with microservices, so far… Back in the days before microservices, we used to build applications that were often hosted in application servers such as WebLogic or WebSphere (apologies

Keeping Multiple Databases in Sync Using Kafka Connect and CDC

Microservices architectures have now been widely adopted among developers, and with a great degree of success. However, drawbacks do exist. Data silos can arise where information processed by one microservice

Explore Real-Time Data Streaming Fundamentals and Use Cases at Current 2022

Today, 97% of organizations are using data streams to transform how their frontend applications and backend operations adapt to new information in real time. Companies are using data streams to

Real-Time Gaming Infrastructure for Millions of Users with Apache Kafka, ksqlDB, and WebSockets

The global video game market is bigger than the music and film industry combined. It includes Triple-A, casual/mid-core, mobile, and multiplayer online games. Various business models exist, such as hardware

EMEA Sales Operations Thrives as Confluent Grows

A year after Confluent launched an initial public offering, the company continues to expand at an extraordinary rate. The Europe, Middle East, and Africa Sales Operations team is at the

6 Ways Data Streaming is Transforming Financial Services

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