Best Continuous Integration Software of 2024

Amazon SageMaker Pipelines allows you to create ML workflows using a simple Python SDK. Then visualize and manage your workflow with Amazon SageMaker Studio. SageMaker Pipelines allows you to be more efficient and scale faster. You can store and reuse the workflow steps that you create. Built-in templates make it easy to quickly get started in CI/CD in your machine learning environment. Many customers have hundreds upon hundreds of workflows that each use a different version. SageMaker Pipelines model registry allows you to track all versions of the model in one central repository. This makes it easy to choose the right model to deploy based on your business needs. SageMaker Studio can be used to browse and discover models. Or, you can access them via the SageMaker Python SDK.

OES is highly scalable and available for increasing deployment workloads. It can also be extended to integrate with multiple SDLC tools chains. OES allows you to define custom stages that can be used to deploy in parallel into any number targets. This saves time. With a single click, you can perform actions such as rolling back or forward or stopping all parallel deployments. Automate repetitive activities in your SDLC by creating as many child pipelines as you need and triggering them from the parent pipeline. OES is modular, and can be used as a central CD-tool for many enterprises due to its API-based architecture. Spinnaker's services can be easily integrated by developers across the team to orchestrate deployments.

Reduce the time, cost and uncertainty of DataStage delivery. Use MettleCI's extensive collection of best practices to ensure that all jobs adhere to your coding standards. Manage code directly in Git from the DataStage Designer Client, without having to deal with command line headaches. A fully-automated pipeline will help you move your code from Development to Production. MettleCI can build and run your schedule without sequences. Let MettleCI do the heavy lifting for you and ensure that your builds are deployed without issues. No need for complex configuration files, hacking or command lines. Point-and-click is used to test, build, and deploy.

Our DevOps Tools enable true end-toend (CI/CD), for IBM i+ environments. Businesses can apply DevSecOps to IBM i and easily respond to audits. They can also adapt to ever-changing expectations in terms of technology, process, or experience. Rocket DevOps is part of Rocket Security & compliance solutions, which are designed to reduce the risk of modernization in the face of evolving regulations and an increasing threat landscape. With the unmatched expertise of our DevOps team, you will be set up to succeed quickly with a customized solution that works best for your company and the ability to take control over any future changes. Businesses must be able to respond to market and customer needs, regardless of the IT infrastructures they have in place. Customers expect IT and development teams to deliver applications and environments that will help businesses succeed.

Spinnaker, an open-source, multi-cloud continuous delivery platform that enables software changes to be released with high velocity. It was developed by Netflix and has been used in hundreds of thousands of deployments. It combines a flexible and powerful pipeline management system with integrations to major cloud providers. You can deploy across multiple cloud providers, including AWS EC2, Kubernetes and Google Compute Engine, Google Kubernetes Engine Google App Engine, Microsoft Azure Openstack, Cloud Foundry and Oracle Cloud Infrastructure. DC/OS will be available soon. You can create deployment pipelines to run integration and system testing, spin up or down server groups, and monitor your rolling outs. You can trigger pipelines using git events, Jenkins or Travis CI, Docker and CRON or any other Spinnaker pipelines. For faster rollouts and easier rollbacks, create and deploy immutable images. This will eliminate configuration drift issues that are difficult to debug.

Azure Resource Manager is the Azure deployment and management service. It is a management layer that allows you to create, modify, and delete resources from your Azure account. To secure and organize your resources, you can use management features such as access control, locks, tags, and tags. Resource Manager receives any request sent by a user from any of the Azure tools or APIs. It authenticates and authorizes your request. The request is sent to Azure by Resource Manager. Azure takes the requested action. All requests are handled using the same API. This ensures consistency in results and capabilities across all tools. All the capabilities available in the portal can also be accessed through PowerShell and Azure CLI, REST APIs, client SDKs, or REST APIs. Within 180 days of initial release, API functionality will be available in the portal.

You can regain control over your data pipelines and instantly deliver value without any errors. DataKitchen™, DataOps platforms automate and coordinate all people, tools and environments within your entire data analytics organization. This includes everything from orchestration, testing and monitoring, development, and deployment. You already have the tools you need. Our platform automates your multi-tool, multienvironment pipelines from data access to value delivery. Add automated tests to every node of your production and development pipelines to catch costly and embarrassing errors before they reach the end user. In minutes, you can create repeatable work environments that allow teams to make changes or experiment without interrupting production. With a click, you can instantly deploy new features to production. Your teams can be freed from the tedious, manual work that hinders innovation.

QuickBuild 12.0 comes with OpenID single sign on support, Kubernetes build agents resource customization, Kubernetes launch agent on-demand via GCP, Kubernetes configuration tree support, dashboard import/export and GitHub organizational webhooks support. Server-wide properties include file upload via RESTful api and RESTful authentication via access token. To test changes on the server before commit or pushing, run proof build. To get quick feedback, run builds concurrently. Run builds upon commit, using a schedule, and upon dependency completion. Log in real-time to view build progress and report on it. Tray monitor allows you to monitor/trigger builds and receive notifications about them. To ensure accountability, send failure notifications to users who have committed to the project. A comparable and customizable statistics chart that tracks key performance indicators. To reduce disk space usage, create an auto cleanup strategy.