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Get Your AI to Production Faster: Accelerators For ML Projects

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish.

Artificial Intelligence vs. Intelligent Automation: What's the Difference?

AI injects “intelligence” into automation, enabling systems to execute tasks, comprehend complex data, make informed decisions, and learn from outcomes. Unlike technologies such as robotic process automation (RPA), which follow predetermined rules, AI leverages data to evaluate situations and determine the best course of action. Now that we've explored how AI augments traditional automation tools, let's delve deeper into the realm of intelligent automation.

Using Tc-Bpf Program To Redirect Dns Traffic In Docker Containers

The adoption of eBPF (Extended Berkeley Packet Filter) has revolutionized high-performance applications, tracing, security, and packet filtering within the Linux kernel. Specifically, TC-BPF, a type of eBPF program attached to the Traffic Control (TC) layer, has emerged as a powerful tool for packet manipulation in both ingress and egress. This blog delves into the practical application of TC-BPF to redirect DNS queries in a Docker environment.

A Software Engineer's Tips and Tricks #3: CPU Utilization Is Not Always What It Seems

Hey there! We're back for our third edition of Tips and Tricks. As we said in our first posts on Drizzle ORM and Template Databases in PostgreSQL, our new Tips and Tricks mini blog series is going to share some helpful insights and cool tech that we've stumbled upon while working on technical stuff. Today's topic is short and sweet. It'll be on CPU utilization and what that metric indicates. If you enjoy it and want to learn more, I encourage you to check out the "further reading" links.

The Benefits of Exploratory Testing in Agile Environments

Agile software development places significant value on faster processes and better-quality outcomes, but there are a lot of different techniques that teams can leverage to achieve these goals. For many, automation integration has become a major priority, but there are several benefits to be seen from manual operations like exploratory testing. Let's take a look at what advantages exploratory testing can bring to agile environments.

Confluent Unveils New Capabilities to Apache Flink Offering to Simplify AI and Bring Stream Processing to Workloads Everywhere

Confluent's new AI Model Inference seamlessly integrates AI and ML capabilities into data pipelines. Confluent's new Freight clusters offer cost-savings for high-throughput use cases with relaxed latency requirements.

Introducing Confluent Cloud Freight Clusters

We’re excited to introduce Freight clusters—a new type of Confluent Cloud cluster designed for high-throughput, relaxed latency workloads that is up to 90% cheaper than self-managing open source Apache Kafka®. Freight clusters utilize the latest innovations in Confluent Cloud’s cloud-native engine, Kora, to deliver low cost networking by trading off ultra low latency performance.