Category: DevOps

QMetry from SmartBear powered by Amazon Bedrock transforms how teams plan, manage, and analyze testing. The platform introduces smart AI search and AI-powered SQL generation, allowing users to interact with test data using straightforward, natural language instead of complex SQL queries. This helps teams find information faster, shortens feedback loops, and enables confident release decisions, turning quality testing into a strategic advantage for modern software delivery.

Enterprise development teams face a critical challenge as they accelerate software delivery through AI-powered tools: maintaining rigorous code quality and security standards without sacrificing development velocity. The SonarQube MCP Server integration with Amazon Q Developer addresses this by performing real-time code quality analysis directly within AI development workflows, enabling developers to identify and resolve potential vulnerabilities earlier in the development lifecycle when issues are less expensive to fix.

Learn how NeuBird, an AWS Advanced Technology Partner, offers Hawkeye, a GenAI-powered SRE assistant that helps IT teams automate incident response and troubleshooting in AWS environments. Hawkeye leverages Amazon Bedrock’s foundation models to automatically correlate telemetry data across AWS services, reducing Mean Time To Resolution by up to 90% while seamlessly integrating with Amazon CloudWatch and other AWS observability tools.

Second Front’s Game Warden platform streamlines the deployment and management of mission-critical software in classified defense environments. Built on AWS and designed by former military cyber operators, the platform helps software vendors navigate complex security requirements while maintaining compliance across Department of Defense (DoD) and Intelligence Community (IC) classification levels.

This blog highlights the approach Trellix took to accelerate the development and testing of product integrations and automated rules development. Using agentic AI methodology, Trellix is able to save over 40 hours of development time per integration resulting in a 90% reduction time to market. Trellix used Amazon Bedrock, LangChain, and Anthropic Claude in this effort.

Developers need one powerful hub that puts every tool and resource at their fingertips while keeping innovation flowing at full speed. This is where the concept of a developer portal comes into play, offering a solution that addresses these points and drives improvements in developer productivity. Learn how you can streamline building your internal developer portal for your AWS infrastructure with Port.

In today’s fast-paced digital landscape, the integration of AI in DevOps is changing how organizations balance innovation with compliance requirements. Generative AI tools have enhanced developer productivity, with estimates suggesting up to 45% improvement in efficiency, while creating new challenges for quality control and regulatory compliance. Through solutions like SpiraTeam from Inflectra, organizations can now leverage AI to modernize their quality and compliance processes while maintaining rigorous safety standards, particularly crucial for regulated industries like healthcare, finance, and utilities.

Discover how CleanSlate Technology Group helped Varsity Yearbooks transform their traditional yearbook business into a modern SaaS solution, accelerating feature delivery and boosting market share. Learn how this AWS SaaS Competency Partner leveraged AWS services to enable digital transformation in the educational services industry.

Miro is an innovation workspace that empowers AWS cloud architects, DevOps teams, and cloud consultants to accelerate cloud transformations from discovery to delivery, with built-in AI tools for architecture design, agile product development, and client engagement. Learn how Miro supports AWS customer processes like well-architected reviews, architecture visualization, and infrastructure cost optimization through AWS-specific resources and integrations, enabling distributed teams of any size to collaborate.

In this blog, we explore how Devtron enhances Amazon Elastic Kubernetes Service (EKS) by simplifying deployment, management, and observability for containerized applications. With Devtron’s unified interface, DevOps teams can seamlessly handle complex Kubernetes workloads on EKS, making the process efficient and scalable. We’ll delve into how Devtron’s toolset accelerates workflows, enables better resource management, and brings clarity to troubleshooting, ultimately empowering teams to focus on innovation rather than infrastructure. Discover how Devtron on EKS is a game-changer for businesses aiming to streamline their DevOps operations.