Tag: AWS Competency Partners
Enhancing the AWS Well-Architected Tool to Provide Continuous Compliance with Trend Micro Cloud One – Conformity
Learn how to enrich the AWS Well-Architected Tool’s workload report by adding the results of definitive best practice checks. This post will also associate the workload with specific AWS resources through the use of tags. Once the workload is tagged, you can use Trend Micro’s Cloud One – Conformity, which allows you to create a 360-degree workload review. This provides continuous assurance that your resources are complying with the AWS Well-Architected Framework.
Continuity Software helps enterprises achieve resilience in their IT environments, drastically reducing outages, and protecting data before it is lost, damaged, stolen, or unrecoverable. Learn how Continuity’s Coral solution automates adherence to all five pillars of the AWS Well-Architected Framework. This ensures environments adhere to the best practices to drive better outcomes for workloads while helping customers avoid disruptions.
We are excited to launch APIs for the AWS Well-Architected Tool that allow AWS Partners to extend Well-Architected functionality, best practices, measurements, and learnings into their existing architecture governance processes, applications, and workflows. By building custom integrations with the AWS Well-Architected Tool, partners can support a broad range of use cases to make it easier for customers to adopt Well-Architected best practices.
Managing backups, archiving, and disaster recovery traditionally required piecing together multiple software solutions across physical locations and network topologies. Trying to balance these disparate systems can result in expensive solutions, operational inefficiencies, and fragmented data. Learn how Cohesity worked with the AWS SaaS Factory team to released Data Management as a Service (DMaaS) as a solution on AWS that will radically simplify data management.
Throughout AWS re:Invent 2020, theCUBE delivered news desk style coverage in a unique conversational video interview format. They captured impactful and engaging discussions with AWS executives, customers, partners, and subject matter experts. Following the AWS Partner Keynote on Dec. 3, AWS Partner leaders joined theCUBE to discuss some of the new programs announced at re:Invent, as well as the global partner strategy for VMware Cloud on AWS and SAP on AWS.
Sumo Logic ingests data across your entire application stack to provide observability and, therefore, reliability of mission-critical apps. It eases the burden placed on engineers, simplifying data collection, unifying visibility, and leveraging machine learning to speed troubleshooting. Sumo Logic’s Observability solution is designed specifically for AWS and seamlessly detects anomalies and events of interest correlated with application incidents.
Many enterprises with applications that use Microsoft SQL Server workloads feel constrained by the punitive licensing costs. They are looking to save on MS SQL Server license commitments, and reduce their operational overhead and complexity. Learn how Zen helped their customer save 75& on licensing costs by migrating SQL Server workload to Amazon Amazon RDS, and dive deep on the technical challenges, solution architecture, key processes, and individual steps of the migration.
In a global pandemic, it can be hard for medical practitioners and patients to get connected and treated. Continually being on top of patients’ progress is also a challenge, along with scarcity of doctors who themselves are affected by the pandemic. Learn about a reference architecture from Capgemini that uses AWS machine learning services to enable doctors and patients to interact with the least amount of physical contact, while also improving efficiency in treatment management, tracking, and auditing.
Organizations often need business analysts and citizen data scientists to work with data scientists to create machine learning (ML) models, but they struggle to provide a common ground for collaboration. Newly enriched Dataiku Data Science Studio (DSS) and Amazon SageMaker capabilities answer this need, empowering a broader set of users by leveraging the managed infrastructure of Amazon SageMaker and combining it with Dataiku’s visual interface to develop models at scale.
How Etleap Integrates with Amazon Redshift Data Sharing to Provide Isolation of ETL and BI Workloads
Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as business intelligence, predictive analytics, and real-time streaming analytics. Learn how Etleap integrates with new data sharing and cross-database querying capabilities in Amazon Redshift to enable workload isolation for diverse analytics use cases in customer environments. Etleap integrates with any data source and runs either as a hosted solution (SaaS) or inside your VPC.