AWS Partner Network (APN) Blog

Tag: APN Partner Guest Post

Epsagon_AWS-Partners

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.

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Enabling Customer Attribution Models on AWS with Automated Data Integration

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.

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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.

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How Sisense Simplifies Complex Data Analytics for Analysts and Developers

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.

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Xplenty_AWS-Competency

How to Use Xplenty with AWS KMS to Provide Field-Level Encryption in ETL Data Processing

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.

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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.

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Percepio_AWS-Solutions

Detecting Bugs in Deployed IoT Devices Using Percepio DevAlert

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. 

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Automated Refactoring from Mainframe to Serverless Functions and Containers with Blu Age

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 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.

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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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Databricks_AWS-Competency

Enabling AWS Single Sign-On (SSO) Service Integration with Databricks Control Plane

AWS Single Sign-On makes it easy to centrally manage SSO access to multiple AWS accounts and business applications. You can use AWS SSO to create and manage users centrally and grant access to AWS accounts and business applications, such as Databricks. Instead of having to sign in separately to Databricks Control Plane and other business applications, with this configuration enabled users can access Databricks with their corporate credentials using AWS SSO.

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