Tag: AWS Competency Partners

Getting visibility with customers is critical to the success of any startup. With AWS, startups can build awareness and increase visibility through events, co-sponsored online and offline campaigns, case studies, and more. Startups can also drive new business and accelerate sales cycles through co-selling with AWS. And they can connect with opportunities at AWS customers, and better serve shared customers through collaboration with the AWS account team and access to PoC credits.

Managing open source vulnerabilities can be challenging, especially at scale in a fast-moving continuous integration pipeline. Developers and DevOps professionals depend on CI pipeline tools like AWS CodeBuild to help them develop and test software at a breakneck pace, pushing out new software with greater efficiency and flexibility. In this post, learn how to integrate WhiteSource into CodeBuild pipeline to fuse open source security into existing build processes without having to compromise on speed or agility.

We are excited to highlight 73 APN Partners that received new designations in August for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Horizontally scaling a SQL database involves separating the write-master from read-only servers. This allows the write server to perform dedicated write operations rather than processing redundant read queries. However, writing to one node and reading from another can result in inconsistent data due to synchronization delays. Heimdall Data offers a database proxy to help developers and architects achieve optimal scale from their Amazon RDS and Amazon Aurora environment without any application changes.

Being able to access files via standard file protocols from one or more locations is important to many organizations. With Nasuni, all data is stored on Amazon S3, enabling customers to have access to their data anywhere over standard file protocols using many of the NAS features they’re used to at local performance, without having to maintain full replicas of the data in each location. Nasuni also has a control plane running on AWS that enables functionality such as global file locking.

The term Industry 4.0 encompasses a promise of a new industrial revolution—for the industrial sector, one that marries advanced manufacturing techniques with the Internet of Things to create systems that are not only interconnected, but communicate, analyze, and use information to drive further intelligent action back in the physical world. Today is the internet moment for manufacturing, and with it comes the gold rush of providers ready to enable the industry’s digital transformation.

Building a true Customer 360 requires gaining a comprehensive view of customer behavior and preferences by aggregating data from all of these sources, and more. With a single source of truth, a true Customer 360 delivers complete a real-time customer view to all parts of the organization—sales, marketing, service, support, etc. This consistent and contextual insight can help enterprises delight customers with personalized experience and timely offers through each touch point in the customer journey.

Security isn’t always top of mind for developers because it can slow down software releases. HashiCorp Vault helps eliminate much of the security burden developers experience while trying to comply with security team requirements. Vault was built to address the difficult task of passing sensitive data to users and applications without it being compromised. Within Vault, all transactions are token-based, which limits potential malicious activity, and provides greater visibility into whom and what is accessing that information.

Time series forecasting is a common customer need. Amazon Forecast accelerates this and is based on the same technology used at Amazon.com. This new service massively reduces the effort required to automate data updating and model retraining, and it manages this while retaining the granularity of control that data scientists will appreciate and utilize. This post explores the use of this new service for energy consumption forecasting.

With the addition of WebSocket support in Amazon API Gateway, we set out to build an AWS CloudFormation template to get the simplest WebSocket version. What we built was backed by an AWS Lambda function that responds directly to the client who initiated the request. We learned quite a few things along the way, and even ended up with an easy solution in Stackery for managing and deploying one of these simple WebSockets.