Tag: AWS Partner Guest Post

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.

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 Amazon EKS, a service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

Atlassian users who run Jira, Confluence, or Bitbucket applications across distributed teams find that, due to slower network connectivity, content sometimes loads much slower for team members in geographically distant regions. A new feature in Atlassian’s Jira, Confluence, and Bitbucket Data Center versions allows the use of Amazon CloudFront to improve the user experience and overall performance of applications hosted in other global regions.

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.

Attribution models allow companies to guide marketing, sales, and support efforts using data, and then custom tailor every customer’s experience for maximum effect. Combined together, cloud-based data pipeline tools like Fivetran and data warehouses like Amazon Redshift form the infrastructure for integrating and centralizing data from across a company’s operations and activities, enabling business intelligence and analytics activities.

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.

Organizations these days are inundated with data. Learn how engineers and analysts can handle the critical challenges of gaining insights from large and complex data sources while also democratizing data for improved adoption across the organization. The Sisense platform simplifies end-to-end data and analytics, reducing time-to-insights by empowering data and IT teams to build advanced data models and perform advanced analysis for their needs.

Enterprises often choose to mask, remove, or encrypt sensitive data in the ETL step to minimize the risk of sensitive data becoming stored, logged, accessible, or breached from their data lake or data warehouse. Xplenty’s ETL and ELT platform allows customers to quickly and easily prepare their data for analytics using a simple-to-use data integration cloud service. Xplenty’s global service uses AWS KMS to create and control the keys used to encrypt or digitally sign your data.

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.

The average cost of fixing bugs in an embedded device’s first year of service alone can run in the hundreds of thousands of dollars. Percepio DevAlert works with AWS IoT Core to alert developers when an error is first detected, and provides visual trace diagnostics to identify the root cause. Percepio is an APN Advanced Technology Partner specializing in visual trace diagnostics for embedded and IoT device software developers.