Tag: APN Partner Success Stories

SoftNAS combines and enhances native Amazon EBS and Amazon S3 to create a full-featured cloud NAS filer. Users can move data across networks, on-premises storage architectures, and AWS. It also allows you to migrate workloads and live business applications without performance or outage worries, and cloud-enable applications without custom coding or re-engineering. Customers can run SoftNAS on multiple AZs for high availability, with automatic failover in accordance with AWS best practices.

File sync and share platforms allow companies to share files within their organization, beyond the boundaries of their own datacenter. AWS is an ideal location for these types of workloads. File sync and share solutions from APN Partners use AWS services as building blocks to provide unique offerings to customers. With a few easy steps, you can deploy CTERA and start sharing files between many different clients and platforms.

It’s easy for vendors to get caught up in the needs of their customers that they forget to tend to their own needs. When CloudCheckr was a young startup, we admittedly had to make a deliberate effort to focus on leveraging all our platform has to offer. The results were as significant for CloudCheckr as they were for our clients. Identifying a Cloud Management Platform that’s available as a SaaS enables you to get started immediately with no overhead and nothing to install, including no agents.

Cognizant recognized the need to give customers in the insurance industry the ability to industrialize innovation with a platform allowing them to test ideas, innovate, fail fast, and reduce time-to-market. With this vision in mind, they set out to build InCatalyst, an insurance innovation platform. This post provides a detailed overview of InCatalyst, how it’s architected and implemented on AWS, and explore the benefits realized by InCatalyst after moving the platform to the AWS Cloud.

Amazon EC2 Spot Instances are one of the best ways to dramatically cut EC2 costs on AWS. With the new pricing model, there has never been a better time to start leveraging Spot Instances, and Spotinst’s DevOps Automation Platform helps businesses reduce operational overhead with automation and cut costs by reliably leveraging Spot Instances. In this post, we share a few stories from Spotinst customers outlining how they maximized infrastructure efficiency at minimum cost.

NetOps ensures the infrastructure used to support application delivery is configured for performance, scalability, and availability. SecOps ensures that applications, regardless of where they are deployed, are done so in a consistent and secure manner. F5 Networks shows how to walk through a typical application deployment utilizing the F5 BIG-IP Cloud Edition to provide a centralized point of control for provisioning, configuring, and managing F5 BIG-IP application delivery controllers.

Ippon Technologies has successfully re-written a large mainframe third-party software package to Java Angular Spring Boot microservices. The package supported 130 TPS and 1,800 MIPS, catered to over 5,000 users, and housed more than 5 TB of business-critical data. Ippon helped the customer define the approach and architecture, and then developed the microservices along with the CI/CD pipeline on AWS. Learn about the project’s technical aspects, methodologies, and lessons learned.

Dome9’s integration with Amazon GuardDuty brings to the table a way of surfacing security findings, providing context and creating automated remediations. Users that identify a finding can look through their Dome9 console and pinpoint the exact instance, VPC, and security group associated with it. This helps customers identify the compromised instance, as well as potential instances that may have a similar posture, thereby allowing you to mitigate the risk before exposure.

Companies struggling with data science don’t understand the data science life cycle. As a result, they fall into the trap of the model myth. This is the mistake of thinking that because data scientists work in code, the same processes that works for building software will work for building models. Models are different, and the wrong approach leads to trouble. Domino Data Lab shares that organizations excelling at data science are those that understand it as a unique endeavor, requiring a new approach.

Fostering a data-driven culture within your organization isn’t only about technology. It’s also about enabling stakeholders to make better decisions and realizing new opportunities by embracing an AI-driven mentality for solving business problems. In this post, AWS Machine Learning Competency Partner Crayon discusses some of the first steps you should take and the essential questions to ask yourself as you thoughtfully develop your company’s relationship with data.