Best Continuous Integration Software - Page 4

OES is highly available and scalable for increasing deployment workloads, and extensible to integrate with multiple SDLC tool chains. OES offers easy-to-define custom stages to parallely deploy into any number of targets and save time. Action such as rollback or roll forward or stopping of all the parallel deployments is easy and can be done with a click. Automate repeated activities in your SDLC process by the ability to create as many child pipelines and invoke them in the parent pipeline. OES is modular and can act as a central CD tool for many enterprises because it uses an API-based architecture. Developers across the team can easily integrate external services with Spinnaker services for deployment orchestration.

Reducing the time, cost, risk, uncertainty, and stress of DataStage delivery. Ensure all jobs comply with your coding standards, or use MettleCI's extensive library of best practices. Manage code in Git, directly from the DataStage Designer client, without any command line headaches. Promote your code from Development to Production using a fully-automated delivery pipeline. Give sequences the boot and allow MettleCI to build and run your job schedule automatically. Let MettleCI handle the heavy lifting of testing to ensure your builds are deployable without problems. No command lines, hacking, or complex config files. Test, build, and deploy using point-and-click.

Our DevOps tools enable true end-to-end (CI/CD) for IBM i+ environments. Businesses can extend holistic DevSecOps best practices to the IBM i, pursue innovative experimentation, easily respond to compliance audits, and adapt to the ever-changing expectations of process, technology, or experience. In the face of changing regulations and the increasing threat landscape, Rocket DevOps, is part of Rocket’s Security & Compliance solutions designed to de-risk your modernization through the most robust technology, expertise, services, and support. And, with the unmatched experience of our DevOps services team, you’ll be set up for success quickly, with a customized implementation that works best for your business and the power to take ownership over any future changes. Businesses must respond to customer and market needs regardless of how their IT infrastructures are set up. Customers expect development and IT teams to deliver the applications and environments that help businesses excel.

Visualize portfolio work items as they progress through each stage of the delivery pipeline. Digital.ai Continuum provides visibility into the business value flowing from planning through release to production. Digital.ai Continuum connects software planning, development, and delivery, enabling enterprises to understand the value in each step of the release process. Digital.ai Continuum adds context to the release pipeline and creates a link between software planning work items and software delivery activities. Gain a continuous view through a seamless connection between agile planning and DevOps software delivery. Track the status and location of development work items as they progress through the release process. Evaluate the quality, consistency, and risk introduced by work items into a software package. Identify high-risk rogue commits, increasing reliability and reducing the possibility of a release failure.

The Apache Gump continuous integration tool was the first one developed at the Apache Software Foundation. It is written in Python and fully supports Apache Ant, Apache Maven (1.x to 3.x) and other build tools. Gump is unique in that it builds and compiles software against the latest development versions of those projects. This allows Gump to detect potentially incompatible changes to that software just a few hours after those changes are checked into the version control system. Notifications are sent to the project team as soon as such a change is detected, referencing more detailed reports available online. You can set up and run Gump on your own machine and run it on your own projects, however it is currently most famous for building many of Apache's projects and their dependencies. For this purpose, the Gump project maintains its own dedicated server.

Nuclio is a real-time, open source serverless platform, used to minimize development and maintenance overhead and automate the deployment of data-science based applications. The Nuclio processor is real-time: a single Nuclio function processor runs 370,000 function invocations per second (with a simple Go function) and responds in 0.1ms latency, which is 100x faster than most serverless/FaaS solutions. Nuclio has an open architecture which supports many event and data sources and enables fast deployment. It can be consumed either as a self-hosted framework or as a managed service in Iguazio.

Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence. Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers. Deploy across multiple cloud providers including AWS EC2, Kubernetes, Google Compute Engine, Google Kubernetes Engine, Google App Engine, Microsoft Azure, Openstack, Cloud Foundry, and Oracle Cloud Infrastructure, with DC/OS coming soon. Create deployment pipelines that run integration and system tests, spin up and down server groups, and monitor your rollouts. Trigger pipelines via git events, Jenkins, Travis CI, Docker, CRON, or other Spinnaker pipelines. Create and deploy immutable images for faster rollouts, easier rollbacks, and the elimination of hard to debug configuration drift issues.

Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Application definitions, configurations, and environments should be declarative and version controlled. Application deployment and lifecycle management should be automated, auditable, and easy to understand. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state. Argo CD automates the deployment of the desired application states in the specified target environments. Application deployments can track updates to branches, tags, or pinned to a specific version of manifests at a Git commit.

AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Fargate, AWS Lambda, and your on-premises servers. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate software deployments, eliminating the need for error-prone manual operations. The service scales to match your deployment needs. AWS CodeDeploy is platform and language agnostic, works with any application, and provides the same experience whether you’re deploying to Amazon EC2, AWS Fargate, or AWS Lambda. You can easily reuse your existing setup code. CodeDeploy can also integrate with your existing software release process or continuous delivery toolchain (e.g., AWS CodePipeline, GitHub, Jenkins).

AutoRABIT is the leader in metadata-aware Application Release Management and Backup & Recovery for Salesforce. Only AutoRABIT combines delta deployments and parallel build automation to provide the fastest release velocity. Deploy only the code that has changed and empower multiple Dev teams to fire off builds simultaneously. Only AutoRABIT uses advanced parsing technology enabling the fastest commits and deployments. Metadata Mastery™ recognizes all Salesforce metadata types to preserve and manage dependencies. Only AutoRABIT backs up and restores all metadata, data and dependencies to reinstate a complete Salesforce experience on demand. Selective Restore allows you to back up all your Salesforce data frequently and restore only what you need. Total Software Delivery Orchestration. Powerful CI/CD Purpose Built for Salesforce.

Build any Azure application, on any Azure service, in less than five minutes. Built-in support for popular application frameworks. Automatic full CI/CD pipeline integration. Built-in monitoring with Application Insights. Deployment to the platform of your choice. With DevOps Projects, start running your application on any Azure service in just three steps—simply select an application language, a runtime, and an Azure service. Choose from a variety of languages—including .NET, Java, PHP, Node, Python, Go and others—and many of their popular frameworks. Or deploy your own application hosted on a source control. Run your application on Windows or Linux. Simply deploy to Azure Web App, Virtual Machine, Service Fabric or choose Azure Kubernetes Service for your application. While options are wide-ranging, execution is simple and fast. Get rich performance monitoring, powerful alerting, and easy-to-consume dashboards to help ensure your applications are available and performing.

Remove the bottlenecks in application development, so administrators and other non-technical users can configure, test, and release apps faster, more reliability, and with less interruption to users. Our AppOps platform automates the entire development lifecycle for low-code applications giving administrators easy to use tools for change management, version control, regression testing, and reference data deployment. Speed through release management by automating tedious reference data deployments between Salesforce orgs. Our templates make managing even the most complex, relational data sets a breeze. So you can deploy faster than you can say change set. Sometimes small changes have unexpected consequences. Not to worry; we’ve got you covered with automated regression testing. Find and fix bugs—before they’re introduced in production. Keep your apps running smoothly and roll out new features with certainty.

A modern mainframe CI/CD tool can ensure your mainframe code pipelines are secure, stable, and streamlined throughout the DevOps lifecycle. With BMC Compuware ISPW, you’ll have the confidence of knowing that you can quickly and safely build, test, and deploy mainframe code. ISPW empowers developers of all experience levels to increase the quality, velocity, and efficiency of software development and delivery. Use ISPW for mainframe source code management (SCM) as well as build and deploy, or with enterprise Git. Connect with modern DevOps toolchains using REST APIs and command line interfaces (CLIs). Flexibility to work in Eclipse-based Topaz, ISPF, or VS Code. Automate, standardize, and monitor deployments into multiple target environments. Support multiple developers working on the same program at the same time. Catch conflicts early with intuitive displays that show the real-time status of all programs throughout the lifecycle.

The first unified security solution protecting the integrity of your software throughout the entire DevOps CI CD pipeline. Track all events and actions across your software supply chain with unparalleled clarity, get actionable information and make decisions faster. Bolster your security posture by enforcing security best practices at all stages of the software delivery process with real-time alerts and auto-remediation. Ensure source code integrity with automated validity checks on each release, so you can be sure the code you committed is the source code deployed. Argon continuously monitors your DevOps infrastructure to identify security risks, code leaks, misconfigurations, and anomalies, and provide insights about the posture of your CI CD pipeline.

Lens Autopilot is a DevOps as-a-Service offering that eliminates technology and operational complexity by providing teams with the necessary resources and tools to accelerate their application delivery process on top of Kubernetes. Lens Autopilot optimizes your operations with continuous proactive security and real-time monitoring and alerting, empowering your developers to focus on building and deploying valuable applications, not worrying about operational tasks. With Lens Autopilot, you work closely with a dedicated team of cloud native experts from Mirantis to transform your processes, optimize cost, and enhance security so you can accelerate your business outcomes.

Using Amazon SageMaker Pipelines, you can create ML workflows with an easy-to-use Python SDK, and then visualize and manage your workflow using Amazon SageMaker Studio. You can be more efficient and scale faster by storing and reusing the workflow steps you create in SageMaker Pipelines. You can also get started quickly with built-in templates to build, test, register, and deploy models so you can get started with CI/CD in your ML environment quickly. Many customers have hundreds of workflows, each with a different version of the same model. With the SageMaker Pipelines model registry, you can track these versions in a central repository where it is easy to choose the right model for deployment based on your business requirements. You can use SageMaker Studio to browse and discover models, or you can access them through the SageMaker Python SDK.

Azure Resource Manager is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure account. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment. When a user sends a request from any of the Azure tools, APIs, or SDKs, Resource Manager receives the request. It authenticates and authorizes the request. Resource Manager sends the request to the Azure service, which takes the requested action. Because all requests are handled through the same API, you see consistent results and capabilities in all the different tools. All capabilities that are available in the portal are also available through PowerShell, Azure CLI, REST APIs, and client SDKs. Functionality initially released through APIs will be represented in the portal within 180 days of initial release.

Reclaim control of your data pipelines and deliver value instantly, without errors. The DataKitchen™ DataOps platform automates and coordinates all the people, tools, and environments in your entire data analytics organization – everything from orchestration, testing, and monitoring to development and deployment. You’ve already got the tools you need. Our platform automatically orchestrates your end-to-end multi-tool, multi-environment pipelines – from data access to value delivery. Catch embarrassing and costly errors before they reach the end-user by adding any number of automated tests at every node in your development and production pipelines. Spin-up repeatable work environments in minutes to enable teams to make changes and experiment – without breaking production. Fearlessly deploy new features into production with the push of a button. Free your teams from tedious, manual work that impedes innovation.

QuickBuild 12.0 is shipped with OpenID single sign-on support, on-demand build agent launch via GCP, Kubernetes build agent resource customization, Mac M1 support, configuration tree state per gadget, dashboard import/export, GitHub organizational webhook support, server-wide properties, file upload via RESTful api, RESTful authentication via an access token, and more. Run proof build to test changes on server before commit or push. Run builds concurrently to get fast feedback. Run builds upon commit, use a schedule, or upon dependency finish. Report build progress and log in real-time. Monitor/trigger build and receive build notifications through tray monitor without opening the browser. Send failure notifications to committed users to ensure responsibility. Comparable and customizable statistics chart of key performance indicators. Build an auto cleanup strategy to reduce disk space usage.