Best Software Development Life Cycle (SDLC) Tools for Amazon Web Services (AWS)

Find and compare the best Software Development Life Cycle (SDLC) tools for Amazon Web Services (AWS) in 2025

Use the comparison tool below to compare the top Software Development Life Cycle (SDLC) tools for Amazon Web Services (AWS) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    GitLab Reviews
    Top Pick

    GitLab

    GitLab

    $29 per user per month
    14 Ratings
    GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.
  • 2
    Codebeamer Reviews

    Codebeamer

    PTC

    $102 per user per month
    Codebeamer is a platform for Application Lifecycle Management, or ALM, that allows advanced product and software development. The open platform provides ALM functionality with product line configuration capabilities, and allows for unique configurability of complex processes. Empower product teams for industrial manufacturing and automotive engineering. Optimize the delivery and quality of complex automotive technology products. Codebeamer provides a complete solution for lifecycle management, including requirements, risks, and test management.
  • 3
    Harness Reviews
    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.
  • 4
    Nutanix Cloud Manager Reviews
    An all-encompassing solution designed to deliver intelligent operations, self-service capabilities, orchestration, security compliance, visibility, and effective management of cloud expenses is offered by Nutanix Cloud Manager. This platform simplifies the process of creating and overseeing cloud environments, enabling customers to realize value more swiftly. It enhances management efficiency, deployment processes, and application scalability through a self-service model combined with centralized role-based IT governance. Additionally, it fosters financial accountability and integrates security operations by providing intelligent analytics and adherence to regulatory standards. IT teams can effortlessly automate routine operational tasks with just a few clicks, facilitating automation and boosting operational productivity without requiring any coding expertise. Moreover, it automatically triggers anomaly alerts whenever there is a significant deviation in a VM’s performance from its established norms, all without necessitating any configuration adjustments. This seamless functionality allows organizations to maintain optimal cloud performance with minimal effort.
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