Tag: AWS Partner Success Stories

Companies often need to securely share digital resources when collaborating, and the extranet provides a mechanism for this using cloud platforms like AWS. Alkira’s Extranet-as-a-Service (EaaS) solution enables secure global connectivity, network segmentation, NAT for overlapping IPs, and integrated security for partner access to AWS applications. Alkira reinvents networking for the cloud era and allows enterprises to build networks with cloud-like speed, agility, and scale.

As data volumes grow, visibility into key metrics becomes crucial for optimizing reliability, performance, and cost. Pariveda’s observability solution leverages AWS services to build operational dashboards displaying AWS Glue job details like runtimes, status, and computational load. By unlocking deeper insights, users can pinpoint optimization opportunities, troubleshoot issues faster, and drive greater efficiency across their data pipelines as workloads scale.

Using the AWS console to manage cloud infrastructure can be convenient and user-friendly, especially for beginners or small projects. Yet, it also carries inherent challenges when used at scale. In this post, we will dive deep into how ControlMonkey can assist you with transitioning manually-created environments to an Infrastructure as Code approach, integrating seamlessly with GitOps and Hashicorp Terraform.

Generative AI adoption is rapidly growing to meet the massive data needs of modern machine learning models. Manually labeling data can be time-consuming but AWS has collaborated with Datasaur to offer solutions addressing data labeling challenges using generative AI. Datasaur’s NLP Platform automates annotation tasks and integrates with AWS services, and its LLM Labs evaluates large language models’ performance and cost for labeling.

Securing PII can be challenging with data scattered across repositories, as organizations often struggle to maintain robust security and compliance measures. Skyflow’s Data Privacy Vault, available on AWS Marketplace, delivers security, compliance, and data residency for AWS workloads by isolating and tokenizing sensitive data. It integrates with Cloud Storage Security to automatically scan uploaded files for malware, further protecting infrastructure and easing sensitive file management.

In today’s industrial landscape, smart manufacturing is pivotal for sustainability and efficiency gains. However, organizations face challenges in gathering and consolidating data from multiple, often outdated sources on the manufacturing floor. LTIMindtree’s AWS-powered Digital Command Center (DCC) solution addresses this by enabling data acquisition, management, real-time KPI monitoring, and analytics-driven insights.

Deloitte and AWS have expanded their collaboration to help organizations worldwide migrate to the cloud. Deloitte will invest in AWS Centers of Excellence, hiring over 800 AWS specialists across Sub-Saharan Africa, Spain, and Central Europe, providing cloud consulting, training, innovation labs, and managed services to empower digital transformations. This strategic agreement leverages Deloitte’s industry expertise and AWS’s leading cloud capabilities to overcome adoption barriers.

Kubernetes simplifies application deployment but introduces certificate management challenges. Amazon EKS is a managed Kubernetes service that automates security patching, while AppViewX KUBE+ automates certificate lifecycle management across the Kubernetes environment. By integrating AppViewX KUBE+ with EKS, organizations gain robust automation, DevOps and security alignment, operational efficiency, and agility for secure cloud-native operations.

Contact centers often face challenges due to lack of visibility into customers’ omnichannel experiences. Joulica’s Customer Journey Analytics solution, part of AWS Contact Center Intelligence, provides a unified, real-time view of each customer’s journey across voice, digital, and social interactions. Built on AWS data streaming architecture, it empowers agents with holistic customer understanding and enhances customer satisfaction and brand perception through optimized experiences.

Learn how to connect the ThoughtSpot analytics platform to an Amazon Aurora MySQL database for real-time operational analytics. This post outlines the steps to create an Aurora MySQL instance, populate it with sample data, create a connection from ThoughtSpot, and build generative AI-powered analytics using natural language search. By integrating ThoughtSpot and Aurora MySQL, businesses can get instant insights from their transactional database.