Tag: AWS Competency Program

Learn how Mission Cloud Services helped Your Call Football (YCF) scale their application by building out the infrastructure as code, determining the right instance type for the job, prepping the load balancers, and employing Amazon EKS. By leveraging Kubernetes to optimize the speed and performance of YCF’s cloud environment, the app successfully provides thousands of football fans with a fun, unique, and issue-free gaming experience—all in real-time.

In a SaaS environment, the compute, storage, and bandwidth resources are often shared among tenants, but this makes it challenging to deduce per tenant cost. A SaaS application running on a Kubernetes cluster on AWS adds a layer of further complexity as far as calculating the per tenant cost. Kubernetes is great at abstracting away the underlying pool of hardware. It almost gives us an illusion of having access to a single large compute resource.

Rewriting an application code for performance optimization generally requires a significant amount of effort. Also, IT and development groups using third-party applications like Tableau may not have access to the application code. Heimdall’s database proxy solution offers a flexible and cost-effective alternative to rewriting your application for performance and scale. Heimdall transparently provides SQL control and visibility to the application owner without (re)writing a single line of code.

DevOps staff in many organizations are one misconfiguration away from compromising their AWS resources to attackers as they migrate to and grow their adoption of existing and new AWS services. In this post, AWS Security Partner Cavirin proposes “Closed Loop Security” based on unifying proactive and reactive risk signals as a key strategy for DevOps staff to protect their AWS infrastructure from misconfigurations and vulnerabilities.

Users looking for enhanced security operations within their AWS environment can utilize Sumo Logic Global Intelligent Service (GIS) for Amazon GuardDuty. This solution allows organizations to separate the signal from the noise within your security alerts, helping to more accurately pinpoint investigations and resources. This comparison data allows companies to bolster their security efforts by proactively identifying and remediating threats.

APN Partners with security expertise help customers identify asset vulnerabilities and develop an organizational understanding to manage security risks in AWS customer systems, assets, and data. If your company wants to help AWS customers with security, the new APN Navigate Security track provides APN Partners with a prescriptive journey to help you build expertise in cloud security solutions.

For SaaS companies responsible for data collection and processing on behalf of multiple organizations, privacy is a core requirement and a competitive differentiator. Knowing the answers to these questions is critical to meeting data management, security, and privacy requirements. WireWheel is a group of privacy experts, data scientists, and business leaders that have set out to help companies meet this challenge.

We are excited to highlight 79 APN Partners that received new designations in May 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.

Hundreds of large enterprises rely on Cognizant’s ability to provide customized cloud management platform capabilities with a differentiated experience. When it comes to managing workloads across hybrid and heterogeneous cloud environments, a key challenge is dealing with asset tracking. This includes software and hardware inventory. To address this growing need of managing and reporting asset details, Cognizant uses AWS Systems Manager, which gives you visibility and control of your infrastructure on AWS.

There are many tools available for doing large-scale data analysis, and picking the right one for a given job is critical. Here, we take an in-depth analysis of the architecture and performance characteristics of a completely serverless data processing platform. While the approach isn’t applicable for every use case, it has a very low total cost of ownership (TCO) and because AWS Lambda allows us to run arbitrary code easily, this approach provides the flexibility to handle non-standard data formats easily.