AgentMail is an API designed for AI agents to manage their own email inboxes, allowing for two-way communication similar to human interactions. It provides features like instant inbox creation and enterprise-grade reliability, catering to various use cases from automation to customer service.

Altrina is a platform designed to automate standard operating procedures by connecting various data sources and workflows. Users can describe tasks in simple terms, enabling the platform to build and run workflows efficiently. It offers reliable performance and visibility for both small and large-scale tasks.

This article discusses the evolution of data engineering as it adapts to the growing role of AI agents in 2026. It emphasizes the need for reliability, context, and safety within data platforms, highlighting the shift from human-centric workflows to autonomous systems that require new architectural approaches.

This article discusses the increasing importance of Site Reliability Engineering (SRE) in software development. It argues that while coding is easy, maintaining operational excellence and ensuring reliable services are the real challenges that need skilled engineers. The author emphasizes the need for more SRE professionals as businesses rely on dependable software solutions.

This article discusses the challenges of implementing AI agents effectively in businesses. It explains the differences between chatbots, copilots, and agents, highlights common pitfalls, and offers insights into successful use cases for automation.

Gremlin has launched Reliability Intelligence, a tool designed to enhance reliability testing across engineering teams by providing real-time insights and recommended actions based on extensive data analysis. This platform enables organizations to proactively identify and address reliability risks while maintaining rapid deployment speeds, addressing the challenges posed by increasing complexity in IT environments. With features like Experiment Analysis and Recommended Remediation, Reliability Intelligence aims to simplify testing and improve overall system resilience.

Chaos Engineering is effective for uncovering risks and preventing outages, but scaling its adoption across organizations presents challenges. To enhance reliability, organizations must standardize testing, automate processes, and establish accountability, ensuring that all services meet the same reliability standards. Gremlin's platform offers tools to facilitate this scalable approach.