Business Software for AWS X-Ray

There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.

KrakenD is a high-performance API Gateway optimized for resource efficiency, capable of managing 70,000 requests per second on a single instance. The stateless architecture allows for straightforward, linear scalability, eliminating the need for complex coordination or database maintenance. It supports various protocols and API specifications, with features like fine-grained access controls, data transformation, and caching. Unique to KrakenD is its ability to aggregate multiple API responses into one, streamlining client-side operations. Security-wise, KrakenD aligns with OWASP standards and doesn't store data, making compliance simpler. It offers a declarative configuration and integrates with third-party logging and metrics tools. With transparent pricing and an open-source option, KrakenD is a comprehensive API Gateway solution for organizations prioritizing performance and scalability.

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 delivers the broadest choice of compute, networking (up to 400 Gbps), and storage services purpose-built to optimize price performance for ML projects. Build, test, and sign on-demand macOS workloads. Access environments in minutes, dynamically scale capacity as needed, and benefit from AWS’s pay-as-you-go pricing. Access the on-demand infrastructure and capacity you need to run HPC applications faster and cost-effectively. Amazon EC2 delivers secure, reliable, high-performance, and cost-effective compute infrastructure to meet demanding business needs.

AWS App Mesh is a service mesh that provides application-level networking to facilitate communication between your services across various types of computing infrastructure. App Mesh offers comprehensive visibility and high availability for your applications. Modern applications are generally made up of multiple services. Each service can be developed using various types of compute infrastructure, such as Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the number of services within an application grows, it becomes difficult to pinpoint the exact location of errors, redirect traffic after errors, and safely implement code changes. Previously, this required creating monitoring and control logic directly in your code and redeploying your services every time there were changes.

Tracetest is an open source testing tool that enables developers to create and run end-to-end and integration tests by leveraging OpenTelemetry traces. It allows users to validate not only the final outcomes but also every step in the workflow, ensuring that each component in a distributed system behaves as expected. Tracetest integrates seamlessly with existing testing tools like Cypress, Playwright, k6, and Postman, enhancing testability and visibility without requiring code changes. By utilizing trace data, Tracetest helps identify issues such as incorrect service interactions or performance bottlenecks that might not be apparent with traditional testing methods. It supports integration with various observability solutions and can be incorporated into CI/CD pipelines for continuous testing. Tracetest also offers synthetic monitoring capabilities, allowing for proactive detection of performance issues before they impact users.

Run code without thinking about servers. Pay only for the compute time you consume. AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. AWS Lambda automatically runs your code without requiring you to provision or manage servers. Just write the code and upload it to Lambda. AWS Lambda automatically scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload.

AWS Hybrid Cloud services deliver a consistent AWS experience wherever you need it, from the cloud, to on premises, and at the edge. Select from the broadest set of compute, networking, storage, security, identity, data integration, management, monitoring, and operations services to build hybrid architectures that meet your specific requirements and use cases. Bring cloud infrastructure and services where you need them to help your digital transformation projects get up and running faster. Modernize and manage all your applications with AWS, even those running in specific locations due to data residency, local processing, and latency requirements. Watch productivity go up and costs go down. Provide developers with a common platform for building, deploying, and managing applications and give IT the same hardware, services, and tools for operating infrastructure across on-premises, cloud, and edge environments.

AWS Cloud audit made easy, over 60+ AWS services supported. We automatically detect AWS cloud misconfigurations and security problems within your AWS cloud and explain why you violate AWS best practices. The app runs as a standalone CloudFormation stack within your AWS account, you host everything in your VPC and remain the owner of your data. Install it to continuously keep your AWS environment clean and secure and start training your team on AWS best practices. Each alert is documented and detailed with information from official AWS docs, AWS CLI, related Re:Invent videos from AWS YouTube channels, and so on. You can use Cloud Assessor to train your team and get them sensibilized to AWS best practices. You remain the owner of your data and cloud configurations. Cloud Assessor runs as a standalone CloudFormation stack on your AWS account and no data goes outside of your VPC. You do not share anything with us.

​Amazon Managed Grafana is a fully managed service that simplifies the process of visualizing and analyzing operational data at scale. It allows users to create workspaces, logically isolated Grafana servers, that can be provisioned, set up, scaled and maintained automatically. These workspaces enable the visualization, analysis, and correlation of operational data across multiple sources, including AWS services like Amazon CloudWatch, AWS X-Ray, and Amazon Managed Service for Prometheus, as well as third-party data sources. It integrates seamlessly with AWS security services, ensuring compliance with corporate security requirements. Additionally, Amazon Managed Grafana supports migration from self-managed Grafana environments, allowing users to retain existing dashboards and configurations. It also offers collaborative features such as real-time dashboard viewing and editing, version tracking, and sharing capabilities, enhancing team productivity. ​