Best Software Development Analytics Tools for Amazon Web Services (AWS)

Cortex is the AI-powered Internal Developer Portal that helps engineering leaders build organizations that ship reliable, secure, and efficient software, faster. Scorecards allow teams to focus on what is most important to them, such as service quality, production ready standards, and migrations. Cortex's Service Catalog integrates with popular engineering tools to give teams an easy way of understanding everything about their architecture. Teams help organizations improve service quality while fostering a sense ownership and pride. Scaffolder allows developers to scaffold a new service using templates created by your team in less than five minute.

Faros AI combines all your operational data from multiple sources and enhances them with machine learning signals. The Faros AI Engineering Operations Platform allows you to harness this data so you can accelerate productivity, and better manager your engineering operations. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.

Enhance your software engineering initiatives by integrating actionable insights alongside captivating gamification elements. Streamline your engineering workflows, pinpoint potential obstacles, and monitor team performance through valuable insights, which help ensure projects remain on schedule while achieving top-notch results. Equip your team with these insights, gamified encouragement, and transparent performance metrics to boost engagement and efficiency. Gain comprehensive visibility into your engineering team's performance, recognize issues, and leverage data-driven strategies to refine delivery and foster business expansion. Installing the complimentary GitHub app provides you with detailed insights into the development process without requiring any manual input, allowing your team to continue focusing on project objectives seamlessly. Unlock a wealth of AI-enhanced insights and tailored recommendations with just a couple of clicks. We aggregate Git data, capturing various activities like commits and pull requests, along with timestamps and author details, to enrich your project management experience. This approach not only simplifies tracking but also encourages a more collaborative and informed development environment.

Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.