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AWS introduces ECS blue/green deployments, SQS fair queues, and CloudWatch AI observability. Azure enhances Kubernetes security and search capabilities, while Google Cloud improves AI workload monitoring and ML runtimes.

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📰 Top picks of the week

Amazon ECS Enhances Deployment Safety with Blue/Green Strategy and Lifecycle Hooks Amazon Elastic Container Service (ECS) introduces a built-in blue/green deployment strategy and deployment lifecycle hooks, enhancing the safety of software updates for containerized applications. These features allow for testing new application versions in production, quick rollbacks of failed deployments, and custom validation steps. Users can implement these capabilities across all commercial AWS Regions using various tools including the AWS Management Console and Terraform. Read More...

Amazon SQS Launches Fair Queues to Enhance Multi-Tenant Performance Amazon Simple Queue Service (SQS) has introduced fair queues, a feature designed to reduce the impact of noisy neighbors in multi-tenant standard queues. By using a message group ID, fair queues ensure that messages from other tenants are prioritized during backlogs, maintaining consistent dwell times without requiring changes to message consumers. This feature is beneficial for SaaS applications and microservices. Fair queues are available in all AWS commercial and GovCloud (US) Regions. Read More...

AWS Launches CloudWatch Generative AI Observability for Enhanced Monitoring of AI Applications Amazon CloudWatch has introduced generative AI observability (Preview), a specialized monitoring solution for generative AI applications across various environments, including Amazon Bedrock and Kubernetes. This feature provides end-to-end tracing, performance insights, and integrates with existing CloudWatch functionalities, allowing developers to monitor AI agents and infrastructure seamlessly. It supports open-source frameworks and utilizes the AWS Distro for OpenTelemetry (ADOT) SDK for automatic telemetry data capture without code changes. Read More...

Amazon EC2 Introduces Option to Skip Graceful OS Shutdown for Faster Instance Management Amazon EC2 now allows customers to skip the graceful operating system shutdown when stopping or terminating instances, enabling faster application recovery, particularly for high-availability clusters. This option can be enabled through the AWS CLI or EC2 Console and is available in all commercial Regions and GovCloud. Read More...

Amazon ElastiCache Introduces Bloom Filters for Enhanced Memory Efficiency Amazon ElastiCache now supports Bloom filters as a new data type in version 8.1 for Valkey and above. This probabilistic data structure allows for efficient membership checking with over 98% more memory efficiency compared to traditional sets. Bloom filters are compatible with existing Valkey client libraries and are available at no additional cost across all AWS Regions. Read More...

Azure Application Gateway for Containers Introduces WAF Support in Public Preview Azure's Application Gateway for Containers now supports Web Application Firewall (WAF) in public preview, enhancing protection for Kubernetes workloads against web-based attacks such as SQL injections and cross-site scripting. Users gain access to Azure-managed Default Rulesets for OWASP threats, bot protection via manager rulesets, and DDoS attack mitigation through rate limiting custom rules. Read More...

Azure Search Job Enhancements: Improved UI, Cost Preview, and Increased Result Limits Azure has enhanced its Search Job capabilities, introducing a more intuitive UI for setup, a cost estimation preview before execution, and improved concurrency for running multiple jobs in parallel. Upcoming features include support for up to 100 million results and expanded KQL capabilities. Read More...

Azure CNI Pod Subnet Enhances AKS with Static Block Allocation for Over 1 Million Pods Azure Kubernetes Service (AKS) now offers the Azure CNI Pod Subnet - Static Block Allocation, allowing users to scale their network to over 1 million pods with VNET routed IP addresses while maintaining the simplicity and low latency of a flat network. This solution enables pre-allocated CIDR blocks for each node, facilitating massive scalability without sacrificing the benefits of flat networking. It can be deployed alongside existing dynamic IP allocation for pod subnets. Read More...

New Monitoring Library for Google Cloud TPUs Enhances AI Workload Efficiency Google Cloud has launched a new monitoring library for Cloud TPUs, designed to enhance the observability and efficiency of AI workloads. This library provides real-time metrics such as Tensor core utilization and HBM usage, allowing users to optimize their training and inference processes dynamically. The library is integrated within the LibTPU library and is accessible for JAX and PyTorch users, enabling better performance management through programmatic adjustments based on observed metrics. Read More...

Google Cloud Enhances Dataproc with ML Runtimes and Colab Support for Spark Applications Google Cloud's Dataproc now offers ML Runtimes for Apache Spark, simplifying the setup for machine learning workloads by providing pre-packaged GPU drivers and common ML libraries. This enhancement reduces cluster provisioning time significantly and is available on both Dataproc on Compute Engine and Google Cloud Serverless for Apache Spark. Additionally, Colab Enterprise notebooks in BigQuery Studio now support Spark application development, enabling users to create serverless Spark sessions with integrated tools. Read More...

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