-
1
Build an Azure application in under five minutes with simplicity and efficiency. The platform provides smooth integration with popular application frameworks and boasts an automated CI/CD pipeline that facilitates a more effective development process. You will also gain access to integrated monitoring features via Application Insights, enabling you to deploy on your chosen platform. Thanks to DevOps Projects, you can start your application deployment on any Azure service by following three easy steps: selecting your application language, choosing a runtime, and picking an Azure service. You can work with a diverse array of programming languages, including .NET, Java, PHP, Node.js, Python, and Go, and utilize either their well-known frameworks or push your custom application from a source control repository. Whether deploying on Windows or Linux, you have the choice to utilize Azure Web App, Virtual Machine, Service Fabric, or Azure Kubernetes Service. In spite of the wide variety of choices, the process remains accessible and efficient for all users. Furthermore, you will benefit from detailed performance monitoring, reliable alert systems, and user-friendly dashboards, all of which ensure your applications are highly available and performing at their best. This streamlined method not only boosts productivity but also allows developers to dedicate their time to crafting innovative solutions that can meet diverse business needs. The ease of use and comprehensive features make Azure an attractive option for developers looking to create and manage applications effectively.
-
2
Prodly AppOps
Prodly
Streamlined low-code app management for effortless deployment success.
Administrators along with non-technical users will find it easier to configure, test, and launch applications with minimal disruptions. AppOps streamlines the entire process of low-code applications, providing administrators with intuitive tools for managing changes, controlling versions, conducting regression tests, and deploying reference data. By automating the often tedious process of reference data deployments across Salesforce organizations, AppOps accelerates the management of releases. Our templates simplify the handling of intricate relational data sets, allowing you to deploy faster than you can say "change set." It is important to note that even minor adjustments can lead to unforeseen outcomes. To mitigate these risks, we offer automated regression testing, ensuring that bugs are identified and resolved before they reach production. This ultimately supports the smooth operation of applications while allowing for the confident introduction of new features. With such robust support in place, users can focus more on innovation and less on troubleshooting.
-
3
BMC Compuware ISPW
BMC Software
Accelerate mainframe development with secure, efficient collaboration tools.
A modern CI/CD solution tailored for mainframes ensures that your code pipelines maintain security, stability, and efficiency throughout the entire DevOps lifecycle. With BMC Compuware ISPW, you can confidently and quickly build, test, and deploy mainframe code while prioritizing safety. This innovative tool equips developers of all skill levels to improve the quality, speed, and effectiveness of their software development and deployment workflows. ISPW stands out as a powerful option for managing mainframe source code (SCM) along with executing build and deployment tasks, while also offering seamless integration with enterprise Git systems. It facilitates connections with contemporary DevOps toolchains through REST APIs and command line interfaces (CLIs), providing the flexibility to work in various environments such as Eclipse-based Topaz, ISPF, or VS Code. Additionally, it supports the automation, standardization, and monitoring of deployments across multiple target environments. The tool enables concurrent development by allowing multiple contributors to work on the same program, effectively identifying conflicts early through intuitive displays that provide real-time updates on all programs during their lifecycle. Ultimately, utilizing ISPW not only simplifies processes but also promotes collaboration among teams, leading to enhanced overall productivity, and fostering an environment where innovation can thrive. This makes it an indispensable asset for organizations looking to optimize their mainframe development efforts.
-
4
Argon
ArgonSec
Secure your software delivery with unparalleled visibility and resilience.
Presenting an all-encompassing security solution aimed at protecting the integrity of your software across the complete DevOps CI/CD pipeline. Experience unparalleled visibility into every event and action within your software supply chain, enabling you to derive actionable insights and make prompt decisions. Fortify your security framework by applying best practices during every stage of the software delivery process, coupled with real-time alerts and automated remediation capabilities. Safeguard the integrity of your source code with automated validity checks performed on each release, guaranteeing that the code you have committed matches what gets deployed. Argon provides ongoing monitoring of your DevOps environment to identify security vulnerabilities, code leaks, misconfigurations, and irregularities, while also offering critical insights into the overall security posture of your CI/CD pipeline. This proactive methodology greatly improves your capacity to address potential threats before they develop into serious issues, ensuring a more resilient software development lifecycle. In a rapidly evolving threat landscape, staying ahead of security challenges is crucial for maintaining trust and compliance.
-
5
Lens Autopilot
Mirantis
Streamline CI/CD with real-time monitoring and security integration.
Lens Autopilot, developed by Mirantis, enables DevOps engineers to design CI/CD pipelines that are specifically customized for your applications, development style, and methodologies. It offers real-time monitoring and alerting capabilities, ensuring that the status of clusters and resources is continuously updated, while also providing access to logs for efficient troubleshooting and error resolution. Additionally, Lens Autopilot proactively addresses security vulnerabilities and threats through its continuous monitoring and alerting features, which seamlessly integrate with platforms like Slack or Microsoft Teams. Users can consolidate all their logs and essential metrics into a single Grafana Loki dashboard for easy access. By combining the robust functionalities of Lens with Mirantis’ exceptional professional services, Lens Autopilot provides a fully managed ZeroOps solution for organizations seeking to enhance their application delivery on Kubernetes, thereby significantly boosting their return on investment. With a commitment to excellence, Mirantis confidently guarantees the achievement of these objectives with Lens Autopilot within a span of 12 months or less, ensuring organizations can optimize their operational efficiency and security posture.
-
6
Amazon SageMaker Pipelines enables users to effortlessly create machine learning workflows using an intuitive Python SDK while also providing tools for managing and visualizing these workflows via Amazon SageMaker Studio. This platform enhances efficiency significantly by allowing users to store and reuse workflow components, which facilitates rapid scaling of tasks. Moreover, it includes a variety of built-in templates that help kickstart processes such as building, testing, registering, and deploying models, thus making it easier to adopt CI/CD practices within the machine learning landscape. Many users oversee multiple workflows that often include different versions of the same model, and the SageMaker Pipelines model registry serves as a centralized hub for tracking these versions, ensuring that the correct model can be selected for deployment based on specific business requirements. Additionally, SageMaker Studio enables seamless exploration and discovery of models, while users can leverage the SageMaker Python SDK to efficiently access these models, promoting collaboration and boosting productivity among teams. This holistic approach not only simplifies the workflow but also cultivates a flexible environment that accommodates the diverse needs of machine learning practitioners, making it a vital resource in their toolkit. It empowers users to focus on innovation and problem-solving rather than getting bogged down by the complexities of workflow management.
-
7
Azure Resource Manager is the foundational service for deploying and managing resources in Azure, providing a robust management interface that lets users create, modify, and delete resources in their Azure accounts. Once resources are deployed, management functionalities like access control, locks, and tagging can be employed to improve security and organization. Requests originating from any Azure tools, APIs, or SDKs are sent to Resource Manager, which authenticates and authorizes them before dispatching the requests to the relevant Azure service to carry out the required actions. The uniform API that handles all requests ensures that users experience a consistent interface and feature set across different tools. Each feature available in the Azure portal is also accessible through PowerShell, Azure CLI, REST APIs, and client SDKs, providing a streamlined experience for users. Significantly, features that debut through APIs usually become accessible in the portal within around 180 days, ensuring that all access points remain in sync. This synchronization allows users to depend on reliable performance and up-to-date features across all platforms, fostering an integrated environment for resource management. Ultimately, Azure Resource Manager plays a vital role in enhancing user efficiency and ensuring a seamless interaction with Azure services.
-
8
DataKitchen
DataKitchen
Empower your data teams for seamless, error-free innovation.
You can take back control of your data pipelines and quickly generate value without encountering errors. DataKitchen™, a DataOps platform, streamlines and aligns all personnel, tools, and settings within your entire data analytics team. This encompasses all aspects, including orchestration, testing and monitoring, development, and deployment processes. You already possess the necessary tools at your disposal. Our platform automates your multiple-tool, multi-environment pipelines, guiding you from data access straight to value realization. Integrate automated testing into each point of your production and development pipelines to identify costly and embarrassing mistakes before they affect the end user. In just minutes, you can establish consistent work environments that empower teams to implement changes or engage in experimentation without disrupting ongoing production. A simple click enables you to deploy new features directly to production instantly. By utilizing this system, your teams can be liberated from the monotonous manual tasks that stifle innovation, allowing for a more agile and creative workflow. Embracing this technology paves the way for not only efficiency but also enhanced collaboration and a more dynamic data-driven culture.
-
9
QuickBuild
PMEase
Elevate your development workflow with seamless build automation today!
QuickBuild 12.0 is packed with numerous features such as OpenID single sign-on support, the option to launch build agents on-demand via Google Cloud Platform, and the customization of Kubernetes build agent resources, along with compatibility for Mac M1 systems. It also provides configuration tree states for every gadget, the ability to import and export dashboards, and integrates with GitHub organizational webhooks. Users can oversee server-wide properties, upload files through a RESTful API, and make use of RESTful authentication utilizing access tokens. Furthermore, it enables proof builds to confirm changes on the server before they are committed or pushed, while allowing concurrent builds to provide rapid feedback. Builds can be initiated by commits, scheduled tasks, or the finishing of dependencies, with real-time progress and log reporting. Users are able to monitor and trigger builds, receiving notifications through a tray monitor without needing to access a browser, ensuring they remain updated. In addition, failure notifications are dispatched to users responsible for commits, which fosters a sense of accountability. The platform also features customizable statistics charts that present key performance indicators and includes an automated cleanup strategy to reduce disk space usage. With these advancements, QuickBuild 12.0 significantly boosts the productivity and effectiveness of build processes for development teams, making it an invaluable tool in their workflows.