Tag: AWS Partner Success Stories

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.

End users can now configure AWS Single Sign-On (AWS SSO) to access Dynatrace with a single sign-on experience using the same credentials they use with their Amazon Web Services (AWS) account. AWS Single Sign-On provides administrators a simple way to assign users and groups access to AWS accounts, roles, and SAML-based applications. This eliminates the need for users to log in to Dynatrace separately.

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.

AWS CloudHSM is a cloud-based hardware security module (HSM) that enables you to easily generate, store, import, export, and manage your cryptographic keys. This post walks through using AWS services to create a pipeline that sends HSM audit logs into Splunk. You’ll also learn how to interpret the audit events and gain specific data insights that enable you to flag critical events taking place on the CloudHSM appliance.

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. 

Mainframe workloads are often tightly-coupled legacy monoliths with millions of lines of code, and customers want to modernize them for business agility. Manually rewriting a legacy application for a cloud-native architecture requires lots of re-engineering. See how AWS Blu Age transformed a typical mainframe CICS application to AWS containers and AWS Lambda functions. You’ll also learn how to increase mainframe workload agility with refactoring to serverless and containers.