Welcome to above the clouds
AWS – AWS Lambda now supports AWS X-Ray tracing for SnapStart-enabled functions
You can now use AWS X-Ray to trace and analyze your Lambda functions enabled with Lambda SnapStart. You can use X-Ray traces to gain deeper visibility into your function’s performance and execution lifecycle, helping you identify errors and performance bottlenecks for your latency-sensitive Java applications built using SnapStart-enabled functions. Read More for the details.
AWS – Amazon SNS now supports faster automatic deletion of unconfirmed subscriptions
Amazon Simple Notification Service (Amazon SNS) now supports automatic deletion of unconfirmed subscriptions once they have been in a pending confirmation state for 48 hours. This reduces the time to delete your unconfirmed subscriptions from the previous 72 hour period. This applies to all new subscriptions and does not require any on-boarding. Read More for […]
AWS – AWS Backup now supports AWS User Notifications
Today, AWS Backup is announcing support for managing your backup notifications from the AWS User Notifications console. AWS Backup is a fully managed service that centralizes and automates data protection across AWS services and hybrid workloads. This launch enables you to easily configure, monitor, and manage your notifications related to AWS Backup from a central […]
AWS – Amazon MemoryDB for Redis now supports IAM Authentication
Amazon MemoryDB for Redis now supports AWS Identity and Access Management (IAM) authentication access to its clusters. With this launch, you can associate IAM users and roles with MemoryDB users and manage their cluster access. Read More for the details.
AWS – Amazon CodeGuru Security plugin for SageMaker Studio and Jupyter Notebooks now in preview
Amazon CodeGuru Security now supports security and code quality scans for Amazon SageMaker Studio and Jupyter notebooks. This new capability assists notebook users in detecting security vulnerabilities such as injection flaws, data leaks, weak cryptography, or missing encryption within the notebook cells. Users can also detect many common issues that affect the readability, reproducibility, and […]
GCP – At Google I/O, generative AI gets to work
Over the past decade, artificial intelligence has evolved from experimental prototypes and early successes to mainstream enterprise use. And the recent advancements in generative AI have begun to change the way we create, connect, and collaborate. As Google CEO Sundar Pichai said in his keynote, every business and organization is thinking about how to drive […]
GCP – Google Cloud advances generative AI at I/O: new foundation models, embeddings, and tuning tools in Vertex AI
Generative AI has unleashed a new breed of digital assistants, content creation tools, and applications, changing how apps are built, who can build them, and the capabilities end users expect from them. Google is a leader in this field, from the creation of Google’s Transformer architecture that makes generative AI possible, to today’s announcement of […]
GCP – Introducing Duet AI for Google Cloud – an AI-powered collaborator
Cloud developers — you’ve got it all. You can code in your choice of languages, enjoy portability with containers, minimize complexity with serverless, and manage the entire software lifecycle by following DevOps principles. But let’s face it, building and onboarding new cloud applications still requires a lot of manual planning, synthesis, and, yes, hard work. […]
GCP – Announcing A3 supercomputers with NVIDIA H100 GPUs, purpose-built for AI
Implementing state-of-the-art artificial intelligence (AI) and machine learning (ML) models requires large amounts of computation, both to train the underlying models, and to serve those models once they’re trained. Given the demands of these workloads, a one-size-fits-all approach is not enough — you need infrastructure that’s purpose-built for AI. Together with our partners, we offer […]
AWS – Amazon SageMaker Canvas can now operationalize ML models in production
You can now register machine learning (ML) models built in Amazon SageMaker Canvas with a single click to SageMaker Model registry enabling you to operationalize ML models in production. SageMaker Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own — without requiring any ML experience or having […]