AWS Partner Network (APN) Blog
Author: Shashi Raina
Shashi Raina is a Partner Solution Architect at AWS. Shashi has more than 15 years of experience in the technology and cloud space, including at Amazon Web Services, Toys “R” US, Knowledgent, and Equinix among others. He works with startups that are building products in DevOps and Big Data space. He lives in New Jersey with his wife and 12-year-old twin boys.
Protect DeepSeek model deployments with Protect AI and Amazon Bedrock
As organizations rapidly adopt generative AI models in enterprise workflows, they face increasing security risks such as prompt injection attacks, model poisoning, and data extraction vulnerabilities. This blog demonstrates how Protect AI’s Guardian and Recon tools integrate with Amazon Bedrock to secure DeepSeek model deployments.
How Sisense Simplifies Complex Data Analytics for Analysts and Developers
Organizations these days are inundated with data. Learn how engineers and analysts can handle the critical challenges of gaining insights from large and complex data sources while also democratizing data for improved adoption across the organization. The Sisense platform simplifies end-to-end data and analytics, reducing time-to-insights by empowering data and IT teams to build advanced data models and perform advanced analysis for their needs.
Serverless Containers are the Future of Container Infrastructure
With the shift to containers and serverless solutions, organizations are presented with a unique question: how do you maximize an application’s uptime while maintaining a cost-effective infrastructure at both layers? Keeping availability high by over-provisioning is easy, but it’s also very expensive. As a result, several challenges have arisen on the path to building an optimized, cost-effective, and highly available containerized infrastructure on AWS: pricing, instance sizing, and containers utilization.
How to Collect, Monitor, and Process Logs and Metrics at Scale with Cognitive Insights
Logging data is the simplest act of collecting data for measurement and plays an important role in modern enterprises. But when this log data is large in volume, high in velocity, or has lots of variety across formats, it poses challenges for data storage, processing, and enrichment. Explore the features of Logz.io, a unified machine data analytics platform that collects and processes logs and metrics, while also identifying critical events with contextual information for intelligently acting upon them.
GPU-Powered Big Data Analytics with OmniSci Helps Change Data into Information
With the rapid growth of data comes the challenge of getting meaningful information from it. Ongoing advancements in harnessing the power of GPU for processing complex programmatic algorithms is enabling user experience of interactively analyzing large volume of data with near real-time latency. OmniSci (formerly named MapD) is using these advancements to provide GPU-based SQL store and analytical tools.