AWS Partner Network (APN) Blog

Category: Compute

Optimizing Customer Experiences for Speed Using AWS and Crownpeak

One of the biggest obstacles for brands today is improving the performance of their digital properties. While much of today’s marketing technologies leverage modern advances in cloud computing, many of the technologies powering digital properties (web and mobile sites) still use the prior generation of server-based technologies. Learn how to modernize your digital technology stack with Crownpeak to optimize customer experiences for speed, and ultimately improve performance for your brand.

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Upgrading Your Windows OS In-Place While Migrating to AWS

If you’re upgrading from Windows Server 2008 because it’s no longer supported by Microsoft, and you’re thinking about migrating some of your workloads to the cloud, consider doing both at the same time. RiverMeadow migrates your workloads to AWS and upgrades from Windows 2008 to the latest version, or a version in between. Currently, RiverMeadow offers the in-place OS upgrade for Windows 2003 and up, and allows customers to upgrade to 2008, 2016, or 2019 versions of Windows.

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Transforming the Customer Experience at Speed and Scale with AWS and Braze

Braze is a comprehensive customer engagement platform built on AWS that helps brands bring modern, stream processing, and data-science frameworks to their engagement strategies. When a minute can make or break a customer experience, brands need a tool that allows them to make virtually instantaneous and meaningful connections with every one of their customers. Learn about recent campaigns from Burger King, Overstock, and BlaBlaCar and the technology that made them possible.

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How to Visualize and Monitor Your AWS Container Fleet with Datadog

To fully leverage the versatility and scalability of containers, you need a monitoring solution capable of providing clarity into a highly dynamic environment comprising thousands (or even tens of thousands) of ephemeral containers. Learn how Datadog provides visibility into dynamic, ephemeral container workloads running on HAQM EKS, a service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

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Monitoring Microservice-Based Cloud Applications Using Distributed Tracing

As application complexity increases, the debugging process in production environments gets more complicated as well. AWS understands this challenge and includes tracing tools in its cloud services. For instance, AWS X-Ray helps developers analyze and debug distributed applications, such as those built using a microservices architecture. Epsagon specializes in automated tracing for cloud microservices, providing automated end-to-end tracing across not distributed AWS services.

Managing Red Hat Enterprise Linux Systems on AWS with Red Hat Insights

Red Hat Insights helps you manage Red Hat Enterprise Linux (RHEL) Systems on AWS by analyzing physical, virtual, container, and hybrid private and public cloud environments, comparing them to more than 1,000 rules. These rules identify potential threats that could lead to business disruptions. Insights scans your environments daily, summarizes any identified risks in its dashboard, and provides remediation steps for those risks.

Leveling Up Your Alerting Workflow with Thundra’s Deep Instrumentation Capabilities

Serverless architectures allow application teams to build applications quickly without worrying about any of the underlying servers. Thundra’s cloud-native observability and security tool helps you test, debug, monitor, troubleshoot, and secure AWS Lambda functions, containers deployed by services like AWS Fargate, and their environments composed of managed or unmanaged services. Walk through a sample alerting scenario and learn how Thundra helps pinpoint and resolve the problem.

Cutting Costs with AWS Lambda for Highly Scalable Image Processing

Learn how APN Partner Toptal applied a horizontally scalable solution for a customer’s image upload processing. This type of serverless solution can reduce the strain on API servers and eliminate the need for running separate servers to handle spikes without crashing. A serverless computing model with AWS Lambda is a natural fit for utility classes of tasks, such as preparing and sending transactional emails and push notifications.

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Listing Serverless Applications with Your HAQM Machine Images on AWS Marketplace

By using serverless applications alongside existing HAQM Machine Images, ISVs can provide customers with solutions that are easier to use, more elastic, and more scalable. AWS Marketplace recently announced a feature that enables sellers to publish solutions comprised of AMIs and serverless applications that customers can deploy AWS CloudFormation. This makes it easier for customers to deploy software solutions, rather than ISVs packaging AWS Lambda code into an AMI or referencing their own HAQM S3 bucket.

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Monitoring Kubernetes Environments with AWS and New Relic’s Cluster Explorer

Kubernetes provides development teams with the tools and capabilities they need to deliver real customer value in far shorter time than more traditional architectures. Operating Kubernetes environments at scale, however, becomes more complex and requires special focus on monitoring for performance and health. Explore the challenges of monitoring Kubernetes environments at scale, and learn how to implement monitoring with the New Relic Cluster Explorer that’s included with the Kubernetes integration.