February 2026 Summaries

Redpanda's recent company kick-off (CKO) event in San Diego exemplified the company's focus on human connection and team bonding in the AI era. Over three days, more than 160 employees participated in activities that blended fun and learning, highlighted by keynotes from CEO Alex Gallego and CTO Tyler Akidau, who shared insights on Redpanda's advancements, such as the Agentic Data Plane (ADP) and other new features. The event included a customer testimonial showcasing Redpanda's impact on simplifying architecture and reducing costs, reinforcing the company's reputation in AI and data streaming. Attendees also engaged in an AI hackathon and community service project to assemble STEAM kits for local schools, embodying Redpanda's values of teamwork and social responsibility. The CKO concluded with various team-building activities, celebrating the company's culture and preparing employees for the challenges of the upcoming fiscal year.

A hands-on workshop is being offered to help participants understand and build streaming pipelines using Redpanda Connect, which boasts over 300 connectors, a declarative configuration model, and Bloblang for data transformations. The session, scheduled for February 25th, will guide attendees through creating a production-ready pipeline that captures changes from a Postgres database and streams them to Redpanda, utilizing the Claude plugin to streamline the authoring process. The workshop is structured into four parts, covering the fundamentals of Redpanda Connect's architecture, pipeline building with the Claude Plugin, advanced Bloblang usage, and best practices in pipeline configuration and observability. Participants will gain hands-on experience with real-world examples and leave with a practical understanding of how to build and maintain effective pipelines, even without prior experience with Redpanda Connect or the Claude Plugin.

In 2026, the enterprise adoption of agentic systems has significantly advanced, with companies like Google reporting high returns on investment from AI deployments. Despite initial skepticism and challenges in safely managing AI agents within corporate systems, tools like Redpanda's Agentic Data Plane (ADP) are addressing these issues by offering a unified access layer for data systems. Redpanda ADP aims to streamline and secure AI interactions through centralized governance, authentication, and observability, alongside features like AI Gateway and a query engine for real-time context. It supports over 300 connectors and uses standardized protocols to enhance connectivity and control, making it easier for enterprises to scale AI solutions safely. The platform's focus on security, scalability, and governance is designed to appeal not only to developers but also to organizational leaders, ensuring robust and reliable AI integration within the enterprise landscape.

The enterprise agentic AI market faces challenges in deploying AI systems safely within private networks, unlike the booming consumer AI sector. Redpanda CTO Tyler Akidau, speaking at Dragonfly's Modern Data Infrastructure Summit, highlighted how streaming platforms can address these challenges by offering solutions for infrastructure and data movement issues that agentic AI systems encounter. Agentic AI is defined as AI performing tasks, which might be part of a workflow or autonomous, and requires context building, governance, auditing, and coordination among multiple agents for effective deployment. Streaming platforms facilitate these requirements by enabling dynamic routing, scalable communication, and robust logging, providing a data movement solution that can help enterprises implement AI safely. However, additional components like authentication, context querying, and workflow execution are still necessary for a comprehensive solution. Redpanda's newly launched Agentic Data Plane aims to integrate agentic AI safely by offering a managed data control plane for enterprises.

The Redpanda Terraform provider facilitates the management of clusters and Apache Kafka resources in Redpanda Cloud, allowing for streamlined provisioning, configuration, and automation of cluster infrastructure through a declarative control plane. Since its general availability in May 2025, the provider has expanded its features, supporting a wide array of functionalities including the management of Redpanda-specific resources like roles and pipelines, and offering a standardized method for provisioning Redpanda Cloud clusters using a single Terraform configuration file. It supports Bring Your Own VPC (BYOVPC) for secure deployments on GCP and AWS, allowing for fine-grained permissions and secure resource management within existing VPC environments. Additionally, the provider enables the management of Redpanda Connect pipelines as code, bridging the gap between cluster and data management by integrating hundreds of pre-built connectors into the Terraform workflow. Redpanda Serverless clusters can now be configured with AWS PrivateLink, ensuring secure communication without traversing the public internet, and the provider also supports write-only arguments for sensitive credentials to enhance security. Overall, the Redpanda Terraform provider has developed into a robust infrastructure-as-code tool for managing the entire lifecycle of Redpanda Cloud environments, offering users significant control over their streaming stack management.

Redpanda Serverless on AWS is now generally available, offering a fully managed, consumption-based platform that supports Apache Kafka-compatible data streaming workloads with features like enterprise-grade security and production-ready observability. This platform introduces a unique hybrid networking model, allowing simultaneous use of AWS PrivateLink for secure production traffic and a public endpoint for external data and developer access. Redpanda Serverless simplifies infrastructure management by providing built-in elastic scaling and automatic handling of traffic spikes, enabling users to focus more on application development rather than managing data streaming infrastructure. It caters to various sectors, including consumer applications, IoT, and financial services, by offering flexibility in cost and capabilities without the need for long-term contracts. The platform integrates seamlessly with existing observability tools like Prometheus and Grafana, providing full visibility into streaming data infrastructure without requiring proprietary solutions, and it supports any Kafka use case with scalable throughput and storage. Users can experiment and grow their applications without concern for infrastructure costs, benefiting from a model that combines serverless agility with enterprise-grade security.