Author Archives: Lucian Systems

New for Amazon Comprehend – Toxicity Detection

With Amazon Comprehend, you can extract insights from text without being a machine learning expert. Using its built-in models, Comprehend can analyze the syntax of your input documents and find entities, events, key phrases, personally identifiable information (PII), and the overall sentiment or sentiments associated with specific entities (such as brands or products). Today, we […]

New – Manage Planned Lifecycle Events on AWS Health

We are announcing new features in AWS Health to help you manage planned lifecycle events for your AWS resources and dynamically track the completion of actions that your team takes at the resource-level to ensure continued smooth operations of your applications. Some examples of planned lifecycle events are an Amazon Elastic Kubernetes Service (Amazon EKS) […]

Five scalability pitfalls to avoid with your Kafka application

Apache Kafka is a high-performance, highly scalable event streaming platform. To unlock Kafka’s full potential, you need to carefully consider the design of your application. It’s all too easy to write Kafka applications that perform poorly or eventually hit a scalability brick wall. Since 2015, IBM has provided the IBM Event Streams service, which is […]

Next-Generation Threats: Securing Multi-Cloud Environment

Using cloud services from multiple cloud service providers is the fundamental tenet of a multi-cloud environment. With multi-cloud, businesses can supervise different projects from several cloud service providers in different cloud environments. Multi-cloud is known for its cost-effectiveness and adaptability as it allows flexibility by managing assets and data migrations between on-premises resources and the […]

Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available

“Data is at the center of every application, process, and business decision,” wrote Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, and I couldn’t agree more. A common pattern customers use today is to build data pipelines to move data from Amazon Aurora to Amazon Redshift. These solutions help them gain insights […]

New – Create application-consistent snapshots using Amazon Data Lifecycle Manager and custom scripts

Amazon Data Lifecycle Manager now supports the use of pre-snapshot and post-snapshot scripts embedded in AWS Systems Manager documents. You can use these scripts to ensure that Amazon Elastic Block Store (Amazon EBS) snapshots created by Data Lifecycle Manager are application-consistent. Scripts can pause and resume I/O operations, flush buffered data to EBS volumes, and […]