Amazon VGT2 Las Vegas

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In collaboration with the AWS SaaS Factory, CloudGlance has unveiled a groundbreaking feature aimed at organizations utilizing containerized workloads managed by Kubernetes within the AWS ecosystem. This innovative capability empowers software vendors to gain a comprehensive understanding of cost distributions associated with their containers, detailing how these expenses correlate to specific products, features, and teams, alongside other AWS services. Let’s hear insights from Max Johnson, Chief Product Officer at CloudGlance, regarding their latest development.

We are thrilled to announce the addition of 55 new AWS Partners who earned fresh designations in August, recognizing their participation in our global AWS Competency, AWS Service Delivery, AWS Service Ready, and AWS Managed Service Provider (MSP) initiatives. These accolades cover various workloads, solutions, and industries, enabling customers to identify premier AWS Partners who excel in meeting essential business goals. AWS Partners are dedicated to your success, ensuring that clients can leverage the full range of benefits AWS presents.

Implementing agents within SaaS products is common, as they facilitate data collection, action execution, communication with remote elements, and other operational tasks in distributed settings. Agents can take on numerous forms and serve diverse functions. However, managing multi-tenant SaaS environments with agents presents particular challenges. This blog post delves into the effective deployment and administration of agents in a SaaS framework. For further reading, check out this blog post here.

Adopting cloud-based microservices may not suit every application, but it presents a compelling case for migrating legacy systems to microservices architecture. If you’re considering re-architecting your applications, view it as an opportunity to segregate regulated data into distinct containers. Transitioning those containers to AWS is a manageable next step. Explore how AWS technologies can alleviate the Payment Card Industry (PCI) compliance burden, as they are an authority on this topic here.

AWS has launched Amazon EventBridge partner event source integrations to provide reference architectures and comprehensive use cases, facilitating seamless integration of SaaS partners into your applications. These solutions are fully open source, consisting of code and AWS Serverless Application Model (SAM) templates that can be tailored to your application requirements. The reference architectures come with AWS Quick Starts and GitHub code to simplify integration.

In July, we proudly recognized 87 APN Partners who achieved new designations for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These accolades encompass various workloads, solutions, and industries, assisting AWS customers in pinpointing top APN Partners who can effectively realize core business objectives. APN Partners are committed to your success and ensuring that you maximize the business advantages AWS offers.

Amazon AppFlow enables the sourcing of data from AWS services and SaaS applications like Salesforce, allowing for aggregation in AWS data lakes and data warehouses to extract unique data-driven insights. This blog will guide you on setting up Amazon AppFlow for Salesforce users and provide two use cases: one for updating Amazon Redshift with fresh Salesforce contact data and another for creating new Salesforce lead records from campaign data housed in Amazon S3.

To achieve the AWS Competency designation, APN Partners must navigate a stringent technical validation process assessing the security, performance, and reliability of their AWS solutions. To assist APN Consulting Partners in understanding this process and the validation prerequisites, we are releasing updated versions of the AWS Competency Validation Checklists. These checklists are specifically tailored for APN Consulting Partners.

Effective partitioning of pooled multi-tenant SaaS data using Amazon DynamoDB is crucial for maintaining data integrity and performance.

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