Best Application Development Software for Amazon Elastic Container Service (Amazon ECS)

New Relic empowers enterprise application developers with a comprehensive, data-driven approach to planning, building, deploying, and managing software. Our unified data platform aggregates all telemetry data, providing robust full-stack analysis tools that offer valuable insights across every stage of the development lifecycle. Built for large-scale environments, New Relic enables swift issue identification and resolution, ensuring optimal performance and enhanced reliability. Streamline workflows, uncover root causes, and foster continuous improvement and innovation. With New Relic, deliver exceptional customer experiences, speed up development cycles, and drive growth with powerful capabilities tailored to enterprise application development.

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

Amazon CodeGuru is an intelligent developer tool that uses machine learning to make intelligent recommendations for improving code quality, and identifying the most costly lines of code in an application. Integrate Amazon CodeGuru in your existing software development workflow to get built-in code reviews that will help you identify and optimize the most expensive lines of code to lower costs. Amazon CodeGuru Profiler allows developers to find the most expensive lines in an application's code. It also provides visualizations and suggestions on how to improve code to make it more affordable. Amazon CodeGuru Reviewer uses machine-learning to identify critical issues and difficult-to-find bugs in application development to improve code quality.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

CI hosted on the cloud or on a dedicated server can automate your development process.

Codefresh was founded in 2014. It combines CI/CD and Image Management to create a complete container delivery platform that connects developers and operations. Codefresh allows startups and enterprises to instantly benefit from microservices, container-based technologies. The company is based out of Silicon Valley, Israel.

Octopus Deploy was founded in 2012 and has enabled successful deployments for more than 25,000 companies worldwide. Octopus Deploy was the first release orchestration and DevOps automation tool. They were limited to large enterprises, slow, and didn't deliver on their promises. Octopus Deploy was first to be adopted by software teams. We continue to innovate new ways for Dev & Ops to automate releases and deliver software to production. Octopus Deploy provides a single location for your team: - Manage releases - Automate complex application deployments - Automate routine or emergency operations tasks Octopus is different because it focuses on repeatable, reliable deployments and has a deep understanding about how software teams work. Octopus is our philosophy about what makes good automation. This philosophy has been refined over a decade of many thousands of successful deployments. Octopus is designed to handle the most complex deployments.

AWS Step Functions, a serverless function orchestrator, makes it easy to sequence AWS Lambda and multiple AWS services into business critical applications. It allows you to create and manage a series event-driven and checkpointed workflows that maintain the application's state. The output of each step acts as an input for the next. Your business logic dictates that each step of your application runs in the right order. It can be difficult to manage a series serverless applications, manage retries, or debugging errors. The complexity of managing distributed applications increases as they become more complex. Step Functions, which has built-in operational controls manages state, sequencing, error handling and retry logic. This removes a significant operational burden from your staff. AWS Step Functions allows you to create visual workflows that allow for fast translation of business requirements into technical specifications.

JFrog Pipelines allows software teams to ship updates quicker by automating DevOps processes in an efficient and secure manner across all their tools and teams. It automates every step of production, including continuous integration (CI), continuous deliveries (CD), infrastructure, and more. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions.

Container Registry Service based in Harbor for individuals, teams, and Software Vendors looking for ways to distribute software in container images.

Each module can be used independently or together to create a powerful unified pipeline that spans CI, CD and Feature Flags. Every Harness module is powered by AI/ML. {Our algorithms verify deployments, identify test optimization opportunities, make cloud cost optimization recommendations, restore state on rollback, assist with complex deployment patterns, detect cloud cost anomalies, and trigger a bunch of other activities.|Our algorithms are responsible for verifying deployments, identifying test optimization opportunities, making cloud cost optimization recommendations and restoring state on rollback. They also assist with complex deployment patterns, detecting cloud cost anomalies, as well as triggering a variety of other activities.} It is not fun to sit and stare at dashboards and logs after a deployment. Let us do all the boring work. {Harness analyzes the logs, metrics, and traces from your observability solution and automatically determines the health of every deployment.|Harness analyzes logs, metrics, traces, and other data from your observability system and determines the health and condition of each deployment.} {When a bad deployment is detected, Harness can automatically rollback to the last good version.|Ha

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.

Automated elimination of inactive software components. This allows you to deploy smaller, more secure, and faster workloads. RapidFort dramatically reduces vulnerability and patches management queues, so developers can concentrate on building. RapidFort eliminates unused container components. This improves production workload security. It also saves developers from having to patch and maintain unused code. RapidFort profiles containers in order to identify which components are required to run them. Your containers can be used in any environment, whether it is dev, test, prod, or production. You can use any container deployment, such as Kubernetes and Docker Compose or Amazon EKS. RapidFort will then identify which packages you need to keep and allow you to delete any unused packages. The majority of improvements are between 60% and 90%. RapidFort allows you to create and customize remediation profiles. This allows you to choose what to keep or remove.

AWS Fargate, a serverless compute engine that runs containers, works with both Amazon Elastic Container Service and Amazon Elastic Kubernetes Service. Fargate makes it simple for you to concentrate on building your applications. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources. Fargate also improves security by application isolation by design. Fargate allocates the correct amount of compute, eliminating the need for instances to scale cluster capacity and choosing instances. You only pay for what you use to run your containers. There is no need to over-provision or purchase additional servers. Fargate runs each task and pod in its own kernel, giving them their own isolated computing environment. This allows your application to be isolated from the workload and provides greater security by design.

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.

AWS X-Ray allows developers to analyze and debug distributed production applications such as those built with a microservices architecture. X-Ray allows you to see how your application and its underlying service are performing. This will help you identify and fix performance issues. X-Ray gives you an overview of all requests that travel through your application and provides a map of the underlying components. X-Ray can be used to analyze both production and development applications, including simple three-tier applications as well as complex microservices applications with thousands of services.

DROPS is an application release management tool that simplifies, secures, and centralizes the deployment of applications in data centers, hybrid infrastructures, and multi-cloud environments. It integrates seamlessly with CI/CD pipelines and supports both agent-based operations and agentless ones. DROPS' features, such as full-stack deployment management, automated infrastructure provisioning and 24/7 availability, aim to streamline deployment processes, and ensure consistent and reliable delivery. The tool is flexible to manage both modern and legacy applications, meeting the needs of diverse enterprises. Choose between agent-based and agentless operation. No need to install and manage agents. DROPS adapts itself to your configuration, and if you need agents, they will be provisioned automatically. No scripting is required to plan and organize your application deployment using the web console. Facilitate collaboration between technical teams and stakeholders.

AWS App2Container is a command-line tool that allows you to migrate and modernize Java and.NET applications into container format. AWS A2C analyzes applications running on bare metal, virtual machine, Amazon Elastic Compute Cloud instances (EC2), or in the Cloud. Streamlining application development and operational skills sets will reduce infrastructure costs and training costs. Automate modernization through automatic analysis of applications, and auto-generated container images. Containerize applications running within your datacenter without code changes. Standardize the deployment and operation of your legacy applications. AWS CloudFormation Templates configure the required compute, networking, and security infrastructure. Use pre-created continuous delivery and integration (CI/CD pipelines) for AWS DevOps.

Enterprise observability for all of your teams at scale Traditional tools only detect simple threshold-based anomalies. This makes it difficult to distinguish between real issues and false alarms. VMware Tanzu Observability from Wavefront allows you to create smart alerts that dynamically filter out noise and capture true anomalies. It is difficult to troubleshoot distributed cloud applications because of many moving parts, dependencies on other applications, and frequent code changes. Wavefront tracks all metrics from your cloud applications, infrastructure, and clouds. It can be difficult to find the right needle when dealing with thousands of metrics from containerized microservices and distributed cloud applications. AI Genie™, which automatically identifies "unknown unknowns", allows you to quickly find the root cause of an incident - isolate applications, infrastructure, and cloud.

Amazon GameLift, a dedicated server hosting solution, deploys, manages, and scales cloud servers for multiplayer gaming. GameLift offers a full managed solution or a specific feature. It leverages AWS's power to deliver the lowest latency, the lowest player wait times, and the highest cost savings.

We take care of everything. You can create the perfect CI/CD platform that meets your company's needs with zero vendor lock-in. Stop building toolchain automation and stop writing manual scripts. Your engineers can now focus on your core business. The declarative model of pipeline workflows allows you to focus on what's required, not how it's done. This includes software builds, security scans and unit testing, as well as deployments. Blueprints allows you to diagnose any failures within Opsera by displaying the console output of each step of your pipeline execution. Comprehensive software delivery analytics for your CI/CD process in one view. This includes Lead Time, Change Failure Ratio, Deployment Frequency and Time to Restore. Contextualized logs allow for faster resolution, improved auditing, and compliance.

Engineers can deploy faster and more confidently with a unified continuous delivery solution that supports multiple application types on multi-cloud. GitOps is a tool that allows you to deploy by pulling request on Git. The deployment pipeline UI helps to understand what is happening. Each deployment has its own log viewer. Real-time visualization of the application state. Notifications for deployment to slack and webhook endpoints. Insights provide insight into the delivery performance. Automated deployment analysis using metrics, logs and emitted request. Automatically roll back to the original state when analysis fails or a pipeline stage fails. Automatically detect configuration drift and notify the user. When a defined event occurs, automatically trigger a new deployment (e.g. container image pushed, helm chart published, etc). Support single sign-on as well as role-based access control. Credentials are not stored in the control plane and are not visible outside the cluster.

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.