Systems | Development | Analytics | API | Testing


Asynchronous Events | Microservices 101

Asynchronous events are a communication pattern that is used to build robust and scalable systems. These events are often pushed through a messaging platform such as Apache Kafka. Among their benefits are the ability to optimize resource usage, more flexibility for scaling, and new ways to recover from failure without losing data.

Introducing Data Portal in Stream Governance

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. The developer-friendly, self-service UI provides an easy and curated way to find, understand, and enrich all of your data streams, enabling users across your organization to build and launch streaming applications faster.


A Deep Dive Into Sending With librdkafka

In a previous blog post (How To Survive an Apache Kafka® Outage) I outlined the effects on applications during partial or total Kafka cluster outages and proposed some architectural strategies to handle these types of service interruptions. The applications most heavily impacted by this type of outage are external interfaces that receive data, do not control request flow, and possibly perform some form of business transaction with the outside world before producing to Kafka.

Continuous Integration and Delivery (CI/CD) | Microservices 101

Continuous Integration (CI) is the process of automatically building and testing your code on every source control commit. Continuous Delivery (CD) takes this further and automatically deploys the code to production on every commit. Used together these techniques allow code to be built, tested, and deployed automatically through a robust CI/CD pipeline. CHAPTERS.

Top 7 Free Apache Kafka Tutorials and Courses for Beginners in 2023

Stepping into the world of Apache Kafka® can feel a bit daunting at first. I know this firsthand—while I have a background in real-time messaging systems, shifting into Kafka’s terminology and concepts seemed dense and complex. There’s a wealth of information out there, and it’s sometimes difficult to find the best (and, ideally, free) resources.


Shaping the Future of Ruby and Kafka Together with rdkafka-ruby

Hello there! My name is Maciej Mensfeld, and some of you might recognize me from my involvement in RubyGems Security, OSS commitments, or perhaps from Karafka: a multi-threaded, efficient Kafka processing framework tailored for Ruby and Rails. While I generally pen my thoughts on my personal blog, today's post is unique. This article results from a collaborative effort with the brilliant people over at AppSignal. To set the record straight, I don't work for AppSignal.


No more refreshing: Achieving low latency data with Ably and Confluent Cloud

Realtime data is rapidly becoming a standard in many consumer applications. From responsive chat applications to low latency financial applications, nobody wants to refresh their browser for new data. With lots of data bouncing around Kafka behind a firewall, it begs the question of how you can serve this information to your users without sacrificing on latency. Ably provides a seamless way to serve this data to your end users devices, globally, through a direct integration with Confluent Cloud.

Polyglot Architecture | Microservices 101

Polyglot Architecture is a feature of microservices that allows each microservice to be built using a different technology stack. This approach provides developers the freedom to select the best tools for the job and allows them to be more creative with their solutions. However, like with any powerful tool, it can have negative consequences if it isn't used properly. CHAPTERS.