Amazon ECS Integrations

The simplest way to navigate and operate your microservices. Whether you only have two or thousands of microservices, effx will track and guide you regardless of orchestration system, public cloud, or on-premise environment. Incidents across a fleet of microservices are rarely simple. effx provides context to help you orient around the potential causes of every outage in real-time. You’ve invested in your ability to know when production breaks. We help you proactively prepare for those moments by scoring services on key attributes that ensure they’re ready.

Amazon GameLift is a dedicated game server hosting solution that deploys, operates, and scales cloud servers for multiplayer games. Whether you’re looking for a fully managed solution, or just the feature you need, GameLift leverages the power of AWS to deliver the best latency possible, low player wait times, and maximum cost savings. Amazon GameLift leverages the AWS global infrastructure for managing game servers. Match players into game sessions and autoscale that start one, hundreds, or even thousands of instances simultaneously, without thinking about scaling with fluctuating player demand. Game services provide basic multiplayer game support, like matchmaking, session directory, player data, and player analytics. With AWS, you can use services like AWS Lambda that provide serverless, scalable, and flexible computing, or features in services like Amazon GameLift FlexMatch, for matchmaking.

With over a decade of media technology development under our belt, we’ve built a set of solutions designed to take your media and content creation to the next level. Use your existing tools and workflows, stay in control, and connect with your audience the way you envisioned it. Production companies, editorial facilities, visual effects studios, audio houses and finishing houses can work with various vendors and share files securely between teams and multiple branch facilities. Envoi, powered by IBM Aspera on Cloud, Amazon S3 and Equinix, will process and deliver those files through workflow automations. Upload files, request metadata and collaboratively share with team members, storages and distribution partners. Upload files, request metadata and collaboratively share with team members, storages and distribution partners. Create ingest and distribution workflows that process and transform files upon delivery.

Easily store, share, and deploy your container software anywhere. Push container images to Amazon ECR without installing or scaling infrastructure, and pull images using any management tool. Share and download images securely over Hypertext Transfer Protocol Secure (HTTPS) with automatic encryption and access controls. Access and distribute your images faster, reduce download times, and improve availability using a scalable, durable architecture. Amazon ECR is a fully managed container registry offering high-performance hosting, so you can reliably deploy application images and artifacts anywhere. Meet your organization’s image compliance security requirements using insights from common vulnerabilities and exposures (CVEs) and the Common Vulnerability Scoring System (CVSS). Publish containerized applications with a single command and easily integrate your self-managed environments.

Built by engineers for engineers, our Prometheus monitoring tool is easy to configure, get set up, and begin sending metrics. We take care of scaling your Prometheus, so you don't need to worry about it. We keep your data long-term, with 3x redundancy, so you can focus on applying the data rather than maintaining a database. Get updates and plugins without lifting a finger, as we keep your Prometheus and Grafana stack updated for you. Everything you need to take control of your Prometheus metrics. Vendor lock-in's not our thing. We’re believers in you still owning your data, so you can request a full export at any time. That means you get all the benefits of an open-source tool, but with the security and stability of a SaaS tool. We keep all your data with 3 times the redundancy and keep your data in a safe place for up to 1 year. Scale without fear, we handle all the hassle for you. Prometheus experts are available 24 hours a day.

You choose your tools, we take care of the rest. Put together the perfect CI/CD stack that fits your organization’s goals with zero vendor lock-in. ‍Eliminate manual scripts and stop building toolchain automation. Free your engineers to focus on your core business. Pipeline workflows follow a declarative model so you focus on what is required — not how it’s accomplished — including: software builds, security scans, unit testing, and deployments. With Blueprints, diagnose any failures from within Opsera using a console output of every step of your pipeline execution. Comprehensive software delivery analytics across your CI/CD process in a unified view — including Lead Time, Change Failure Rate, Deployment Frequency, and Time to Restore. ‍Contextualized logs for faster resolution and improved auditing and compliance.

A unified continuous delivery solution for multiple application kinds on multi-cloud that empowers engineers to deploy faster with more confidence. A GitOps tool that enables doing deployment operations by pull request on Git. Deployment pipeline UI shows clarify what is happening. Separate logs viewer for each individual deployment. Real-time visualization of application state. Deployment notifications to slack, and webhook endpoints. Insights show the delivery performance. Automated deployment analysis based on metrics, logs, and emitted requests. Automatically roll back to the previous state as soon as analysis or a pipeline stage fails. Automatically detect configuration drift to notify and render the changes. Automatically trigger a new deployment when a defined event has occurred (e.g. container image pushed, helm chart published, etc). Support single sign-on and role-based access control. Credentials are not exposed outside the cluster and not saved in the control plane.

QueryPie is a centralized platform to manage scattered data sources and security policies all in one place. Put your company on the fast track to success without changing the existing data environment. Data governance is vital to today's data-driven world. Ensure you're on the right side of data governance standards while giving many users access to growing amounts of critical information. Establish data access policies by including key attributes such as IP address and access time. Privilege types can be created based on SQL commands classified as DML, DCL, and DDL to secure data analysis and editing. Manage details of SQL events at a glance and discover user behavior and potential security concerns by browsing logs based on permissions. All histories can be exported as a file and used for reporting purposes.

It supports high-performance training on AWS Trainium-based Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. For model deployment, it supports high-performance and low-latency inference on AWS Inferentia-based Amazon EC2 Inf1 instances and AWS Inferentia2-based Amazon EC2 Inf2 instances. With Neuron, you can use popular frameworks, such as TensorFlow and PyTorch, and optimally train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal code changes and without tie-in to vendor-specific solutions. AWS Neuron SDK, which supports Inferentia and Trainium accelerators, is natively integrated with PyTorch and TensorFlow. This integration ensures that you can continue using your existing workflows in these popular frameworks and get started with only a few lines of code changes. For distributed model training, the Neuron SDK supports libraries, such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP).

Deep Learning Containers are Docker images that are preinstalled and tested with the latest versions of popular deep learning frameworks. Deep Learning Containers lets you deploy custom ML environments quickly without building and optimizing your environments from scratch. Deploy deep learning environments in minutes using prepackaged and fully tested Docker images. Build custom ML workflows for training, validation, and deployment through integration with Amazon SageMaker, Amazon EKS, and Amazon ECS.