Best Application Development Software for Amazon Elastic Container Registry (ECR)

Whether you already have a platform team or are just at the beginning of your internal platform development, Cycloid is designed to complete your internal solution with high-quality building blocks focused on specific DevOps and hybrid cloud best practices. Self-service portal, cloud governance, RBAC, CI/CD pipelines, built-in FinOps, and GreenOps are all modules that you can pick and choose to complement your internal solution or begin your digital transformation. Like a piece of a puzzle, Git-based and lock-free Cycloid can fit into your organizational strategy and solve the burning issues at hand. We can be a pillar for your organizational transformation by empowering and upskilling your existing teams, as well as improving DevX, the developer experience. How? We offer an engineering platform dedicated to DevOps and hybrid cloud adoption, allowing you to optimize how DevOps and end-users use technologies and clouds while working in alignment on common projects.

Amazon Elastic Container Service (Amazon ECS), is a fully managed container orchestration and management service. ECS is used by customers such as Duolingo and Samsung, GE and Cook Pad to run their most sensitive and critical mission-critical applications. It offers security, reliability and scalability. ECS is a great way to run containers for a variety of reasons. AWS Fargate is serverless compute for containers. You can also run ECS clusters with Fargate. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. ECS is also used extensively in Amazon to power services like Amazon SageMaker and AWS Batch. It is also used by Amazon.com's recommendation engines. ECS is extensively tested for reliability, security, and availability.

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.

Configuration as code. Pipelines are created with a simple, readable file that is then committed to your git repository. Each step of a pipeline is executed in a Docker container, which is automatically downloaded at runtime. Any source code manager. Drone.io seamlessly integrates with multiple source code management system, including Bitbucket and GitHubEnterprise. Any platform. Drone natively supports multiple operating system and architectures, including Linux x64/ARM/ARM64/Windows x64. Any language. Drone can communicate with any language, database, or service that runs within a Docker container. You can choose from thousands of Docker images, or create your own. Make and share plugins. Drone uses containers to drop preconfigured steps into your pipeline. You can choose from hundreds of pre-made plugins or create your own. Drone allows for advanced customization. You can create custom access controls, approve workflows, secret management, yaml syntax extension, and other features using drone.

AWS App Mesh provides service mesh to facilitate communication between your services across different types of computing infrastructure. App Mesh provides visibility and high availability to your applications. Modern applications often include multiple services. Each service can be developed using different types of compute infrastructure such as Amazon EC2, Amazon ECS and Amazon EKS. It becomes more difficult to spot errors and redirect traffic after they occur, and to safely implement code changes. This was done by creating monitoring and control logic in your code and then redeploying your services whenever there were changes.

Unleash the power and potential of the no-code platform to build modern applications. Your team's existing capabilities can be used to build, provision, run, and scale cloud-native applications. Modernizing legacy and greenfield applications quickly will unlock the potential of your apps, increase revenue opportunities, and exceed customer expectations. Be the first to market, and lead the transformation. Make use of the platform's Out-of-the box DevOps capabilities to automate and simplify your software maintenance and delivery. Multi-cloud and hybrid cloud enablement will spice up your "cloud first" strategy. Avoid vendor lock-in by allowing your teams the freedom to choose their cloud and infrastructure. Reduce human errors and save time when modernizing applications. The built-in developer tools make it easier to debug and fix issues faster than ever before.

Amazon Elastic Kubernetes Service is a fully managed Kubernetes services. EKS is trusted by customers such as Intel, Snap and Intuit. It also supports GoDaddy and Autodesk's mission-critical applications. EKS is reliable, secure, and scaleable. EKS is the best place for Kubernetes because of several reasons. AWS Fargate is serverless compute for containers that you can use to run your EKS clusters. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. EKS is also integrated with AWS Identity and Access Management, AWS CloudWatch, Auto Scaling Groups and AWS Identity and Access Management, IAM, and Amazon Virtual Private Cloud (VPC), allowing you to seamlessly monitor, scale, and load balance your applications.

Ozone platform allows enterprises to quickly and securely ship modern applications. Ozone eliminates the need to manage too many DevOps tools, making it easy to deploy applications on Kubernetes. Integrate all your existing DevOps tools to automate your application delivery process. Automated pipeline workflows make deployments faster and allow for on-demand infrastructure management. Enforce compliance policies and governance for app deployments at scale to prevent business losses. One pane of glass, where engineering, DevOps, and security teams can collaborate on app releases in realtime.

Industry's first IAST solution that combines active verification and sensitive data tracking for web-based applications. Automatically retests vulnerabilities and validates that they can be exploited. This is more accurate than traditional dynamic testing. It provides a real-time overview of the top security holes. Sensitive data tracking allows you to see where your most important information is stored without adequate encryption. This helps ensure compliance with industry standards and regulations such as PCI DSS or GDPR. Seeker is easy-to-implement and scale in your CI/CD workflows. Native integrations, web APIs and plugins allow seamless integration with your tools for container-based, cloud-based and microservices-based development. Without any configuration, tuning, or custom services, you'll get precise results right out of the box.

Connect your private registries easily and share images with the team. To find the right container image to fit your project, browse the largest public registries in the world. Software security is impossible if you don't know what's inside your containers. The Slim platform removes the veil from container internals, allowing you to analyze, optimize, compare, and compare changes across multiple versions or containers. DockerSlim is an open-source project that automatically optimizes container images. You can eliminate dangerous or bulky packages so that you only ship what you need. Learn how the Slim platform can help you and your team automatically improve security and software supply chain security, tune containers to ensure development, testing, production, and shipping secure container-based apps to cloud. The platform is free to use and accounts are available for no cost. We are container enthusiasts, not salespeople. Therefore, we understand that privacy and security are fundamental principles of our business.

Deep Learning Containers are Docker images pre-installed with the most popular deep learning frameworks. Deep Learning Containers allow you to quickly deploy custom ML environments without the need to build and optimize them from scratch. You can quickly deploy deep learning environments using prepackaged, fully tested Docker images. Integrate Amazon SageMaker, Amazon EKS and Amazon ECS to create custom ML workflows that can be used for validation, training, and deployment.