8/3/2022, 12:00:00 AM ~ 8/4/2022, 12:00:00 AM (UTC)
Recent Announcements
Amazon CloudWatch metrics increases throughput by 150x
Amazon CloudWatch custom metrics now supports a 50x higher capacity allowing you to send up to 1,000 metrics per call at a 3x faster default call rate and specify 3x more dimensions (up to 30) per metric. Customers rely on CloudWatch custom metrics to capture application-specific data that complements the automatic metrics provided by CloudWatch based on the AWS services you are using. With these improvements, customers can send the same volume of data with fewer API requests, leading to reduced costs.
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 transaction failures, increases in new user sign-ups, and many more.
AWS Compute Optimizer is now available in 5 additional AWS Regions
We’re excited to announce the general availability of AWS Compute Optimizer in 5 additional regions — Asia Pacific (Osaka), Asia Pacific (Hong Kong), Middle East (Bahrain), Africa (Cape Town), and Europe (Milan).
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 people, places, organizations, credit card numbers, and so on. Custom entity recognition (CER) in Amazon Comprehend enables you to train models with entities unique to your business in just a few easy steps. You can identify almost any kind of entity, simply by providing a sufficient number of details to train your model effectively.
AWS Blogs
AWS Japan Blog (Japanese)
- We held an AWS Startup Ramp Meetup where startups in the public sector and local governments connect
- AWS Compute Optimizer is now available in the Osaka Region
- [Event Report & Material Release] Let’s build a creative studio in the cloud
AWS News Blog
AWS Architecture Blog
AWS Big Data Blog
- Best practices to optimize cost and performance for AWS Glue streaming ETL jobs
- Manage data transformations with dbt in Amazon Redshift
AWS Database Blog
Front-End Web & Mobile
AWS HPC Blog
AWS for Industries
AWS Machine Learning Blog
- Amazon Comprehend announces lower annotation limits for custom entity recognition
- Promote feature discovery and reuse across your organization using Amazon SageMaker Feature Store and its feature-level metadata capability