Deploying machine learning (ML) models as a packaged container with hardware-optimized acceleration, without compromising accuracy and while being financially feasible, can be challenging. As machine learning models become the brains of modern applications, developers need a simpler way to deploy trained ML models to live endpoints for inference. This post explores how a ML engineer can take a trained model, optimize and containerize the model using OctoML CLI, and deploy it to Amazon EKS.
Say Hello to 125 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in November
We are excited to highlight 125 AWS Partners that received new designations in November for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
AWS Graviton processors are custom-built to enable the best price performance for workloads in Amazon EC2. As customers adopt AWS Graviton-based EC2 instances, they need the right software solutions to help integrate, deploy, monitor, and secure their Linux-based and containerized workloads. We are excited to announce the new AWS Graviton Ready Program, part of the AWS Service Ready Program which validates software products built by AWS Partners that integrate with specific services such as AWS Graviton.
As software release cycles get progressively faster, coordinating database schema changes with application releases becomes more difficult. For some teams, it may require a complete overhaul of processes and perhaps even a change in mindset but it is possible. Tools such as GitLab and Liquibase can be used to automate the deployment of database schema changes. Learn how Blue Sentry has extensive experience using infrastructure as code (IaC) to improve CI/CD processes and to support better outcomes for customers.
Despite the investments and commitment from leadership, many organizations are yet to realize the full potential of artificial intelligence (AI) and machine learning (ML). How can data science and analytics teams tame complexity and live up to the expectations placed on them? MLOps provides some answers. Hear from AWS Premier Consulting Partner Reply how you can “glue” the various components of MLOps together to build an MLOps solution using AWS managed services.
Heirloom automatically refactors mainframe applications’ code, data, job control definitions, user interfaces, and security rules to a cloud-native platform on AWS. Using an industry-standard TPC-C benchmark, we demonstrated the elasticity of Heirloom on AWS, delivering 1,018 transactions per second—equivalent to the processing capacity of a large mainframe. Heirloom Computing is an APN Standard Technology Partner.
We strive to provide business, technical, and marketing support as our AWS Partner Network (APN) Technology Partners seek to build strong AWS-based solutions and reach a global customer base. And more and more, we are seeing Technology Partners with a global presence going all-in with AWS. By going all-in and making AWS their preferred cloud […]
In 2016, we hosted 38 guest posts from AWS Partner Solutions Architects (SAs), who work very closely with both Consulting and Technology Partners as they build solutions on AWS. As we kick off 2017, I want to take a look back at all of the fantastic content created by our SAs. A few key themes emerged […]
We have 10 upcoming AWS Partner Webinars featuring a select number of AWS Partners. These webinars feature technical sessions led by AWS solutions architects and engineers, live demonstrations, customer examples, and Q&A with AWS experts. Upcoming Webinars Seamless Visibility and Detection for the Cloud September 20th, 2016 | 10:00 – 11:00 AM PST Organizations need to apply security […]
Our goal is to provide businesses with a highly performant and secure cloud platform, along with a mature AWS partner ecosystem of tools and solutions, to make running containers on AWS an optimal experience. A critical component of offering this level of service to our customers is providing choice. We want our customers to have […]