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AWS – Amazon ElastiCache now supports AWS Graviton2-based T4g, M6g, R6g instances in the Europe (Paris, Milan) regions and R6gd instances in the Europe (Paris) region
Amazon ElastiCache now supports AWS Graviton2-based T4g, M6g and R6g node types in the Europe (Paris) and Europe (Milan) regions. Customers choose Amazon ElastiCache for workloads that require blazing-fast performance with sub-millisecond latency and high throughput. Now, with Graviton2 T4g, M6g and R6g instances, customers can enjoy up to a 45% price/performance improvement over previous […]
AWS – Amazon RDS for PostgreSQL supports new minor versions 14.3, 13.7, 12.11, 11.16, and 10.21
Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports PostgreSQL minor versions 14.3, 13.7, 12.11, 11.16, and 10.21. We recommend you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes, performance improvements, and new functionality added by the PostgreSQL community. […]
GCP – Founders and tech leaders share their experiences in “Startup Stories” podcast
From some angles, a lot of startup founders consider broadly similar questions, such as “should I use serverless?”, “how do I manage my data?”, or “do I have a use case for Web3?” But the deeper you probe, the more every startup’s rise becomes unique, from the early moments among founders, to the of hiring […]
GCP – How Wayfair is reaching MLOps excellence with Vertex AI
Editor’s note: In part one of this blog, Wayfair shared how it supports each of its 30 million active customers using machine learning (ML). Wayfair’s Vinay Narayana, Head of ML Engineering, Bas Geerdink, Lead ML Engineer, and Christian Rehm, Senior Machine Learning Engineer, take us on a deeper dive into the ways Wayfair’s data scientists […]
GCP – Manhattan Associates transforms supply chain IT with Google Cloud SQL
Editor’s note: Manhattan Associates provides transformative, modern supply chain and omnichannel commerce solutions. It enhanced the scalability, availability, and reliability of its software-as-a-service through a seamless migration to Google Cloud SQL for MySQL. Geopolitical shifts and global pandemics have made the global supply chain increasingly unpredictable and complex. At Manhattan Associates, we help many of […]
GCP – ML Engineers: Partners for Scaling AI in Enterprises
Enterprises across many industries are adopting artificial intelligence (AI) and machine learning (ML) at a rapid pace. Many factors fuel this accelerated adoption, including a need to realize value out of the massive amounts of data generated by multichannel customer interactions and the increasing stores of data from all facets of an enterprise’s operations. This […]
GCP – Zero-ETL approach to analytics on Bigtable data using BigQuery
Modern businesses are increasingly relying on real-time insights to stay ahead of their competition. Whether it’s to expedite human decision-making or fully automate decisions, such insights require the ability to run hybrid transactional analytical workloads that often involve multiple data sources. BigQuery is Google Cloud’s serverless, multi-cloud data warehouse that simplifies analytics by bringing together […]
GCP – Hidden gems of Google BigQuery
BigQuery is amazing. It is one of my favorite tools within Google Cloud. Luckily, it looks like Google feels the same and, to the joy of BigQuery fans, keeps adding new features there. No matter how long I have been working with BigQuery, there is always something new I discover once in a while. Today […]
AWS – AWS Lookout for Metrics announcing increased quota from 50K to 500K metrics
Amazon Lookout for Metrics uses machine learning (ML) to automatically monitor the metrics critical to your businesses with greater speed and accuracy than traditional methods used for anomaly detection. The service makes it easier to diagnose the root cause of anomalies such as unexpected dips in revenue, high rates of abandoned shopping carts, spikes in payment […]
AWS – AWS Comprehend lowers annotation limits for training custom entity recognition models
Amazon Comprehend is making it easier for customers to get started with custom entity recognition by reducing the annotation requirements for training their models. Amazon Comprehend is a natural language processing (NLP) service that provides APIs to extract key phrases, contextual entities, events, and sentiment from text. Entities refer to things in your document such as […]