DEVOPS★★★★
AWS announces automatic sync scheduling for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service that handles data ingestion, storage optimization, and advanced retrieval without requiring you to manage vector databases or data pipelines. Previously, keeping your knowledge base current required manually triggering a sync each time your source data changed or building a custom solution. Now, you can configure daily, weekly, or monthly sync schedules for all native data source connectors, so your AI agents always retrieve the most up-to-date information. With automatic sync scheduling, you can mat…
AWS★★★★
Amazon EC2 now enables AMI owners to define which instance types are compatible with their AMIs. Owners can specify supported instance types, unsupported instance types, or both — and any launch attempt on a non-permitted instance type is automatically blocked. AMI owners now have a built-in way to prevent launches on instances that are not compatible with their AMIs. This reduces the risk of failed launches due to incompatible instance-AMI pairings. By default, an AMI can be launched on any instance type, so existing workflows remain unaffected until restrictions are explicitly applied. This feature is available in all AWS Regions at no add…
KUBERNETES★★★★
Kubernetes v1.37 promotes the KubeletInUserNamespace feature gate to beta. With this feature enabled, all of the node components (kubelet, CRI and OCI runtimes, CNI plugins, and kube-proxy) can run as a non-root user on the host, using a Linux user namespace. This technique is also known as rootless mode. The work started as an experiment in 2018, and was merged into Kubernetes v1.22 (2021) as an alpha feature (Kubernetes Enhancement Proposal KEP-2033). This feature should not be confused with user namespaces for pods (hostUsers: false with the UserNamespacesSupport feature gate, GA since v1.36), which puts pods in user namespaces but still …
DEVOPS★★★★
Amazon Elastic Container Service (Amazon ECS) now supports Early Success Criteria for rolling service deployments, giving you the flexibility to define when a deployment is considered successful based on your confidence level and the operational needs of your workload. This can help you complete deployments sooner and unblock subsequent deployments, CI/CD pipelines, and other dependent operations. With Early Success Criteria, you configure the healthy percent - the proportion of desired tasks that must be running and healthy on the target service revision before the deployment is marked successful. For example, with a desired count of 100 an…
AWS★★★★
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Asia Pacific (Taipei, New Zealand), and AWS GovCloud (US-East) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, stora…
AWS★★★★
Amazon SageMaker AI now supports Amazon EC2 G6e instances for batch transform. Batch Transform enables you to run predictions on datasets stored in Amazon S3 and is suited for large datasets that do not require a persistent inference endpoint. Amazon EC2 G6e instances are powered by up to eight NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third-generation AMD EPYC processors. G6e instances deliver improved performance for GPU-intensive workloads. With this launch, you can use G6e instances for GPU-intensive offline inference workloads, including large language models and diffusion models that generate images, video, and audi…
AWS★★★★
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C9g and C9gd instances, powered by AWS Graviton5 processors, are available in the Asia Pacific (Tokyo) region. AWS Graviton5 processors are the fifth generation of custom-designed CPUs, delivering the best price performance for compute-intensive workloads running on Amazon EC2. C9g and C9gd instances deliver up to 25% better compute performance compared to AWS Graviton4-based C8g and C8gd instances. They are up to 30% faster for databases, up to 35% faster for web applications, and up to 35% faster for machine learning. These instances are built on the sixth-generation AWS Nitro Syste…
AWS★★★★
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M9g and M9gd instances, powered by AWS Graviton5 processors, are available in Europe (Ireland) and Asia Pacific (Singapore, Sydney, Tokyo) regions. AWS Graviton5 processors are the fifth generation of custom-designed CPUs, delivering the best price performance for memory-intensive workloads running on Amazon EC2. M9g and M9gd instances deliver up to 25% better performance compared to AWS Graviton4-based M8g and M8gd instances. They are up to 30% faster for databases. These instances are built on the sixth-generation AWS Nitro System and are the first to feature the Nitro Isolation Eng…
AWS★★★★
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) P6-B200 instances accelerated by NVIDIA Blackwell GPUs are available in the AWS Asia Pacific (Hyderabad) Region. These instances offer up to 2x performance compared to P5en instances for AI training and inference. P6-B200 instances feature 8 Blackwell GPUs with 1440 GB of high-bandwidth GPU memory and a 60% increase in GPU memory bandwidth compared to P5en, 5th Generation Intel Xeon processors (Emerald Rapids), and up to 3.2 terabits per second of Elastic Fabric Adapter (EFAv4) networking. P6-B200 instances are powered by the AWS Nitro System, so you can reliably and securely scale AI…
AWS★★★★
Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the AWS Asia Pacific (Jakarta) Region. P6-B300 instances provide 8xNVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory. P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) including large language models (LLMs) with sophisticated techniques. The higher networking…
KUBERNETES★★★★
Kubernetes 1.37 is here and Dynamic Resource Allocation (DRA) keeps pushing past where it started! This release brings DRA Extended Resource support to GA, a milestone the team has been building toward for three straight releases. Several more features graduate to Beta or GA. A fresh batch of alpha features rounds out the release. I'll dive into what's new for DRA in Kubernetes 1.37! What's stable in 1.37DRA Extended Resource support has graduated to GA. This is the mechanism that lets DRA drivers satisfy requests made through the traditional extended resource API, think example.com/gpu in a Pod spec, without requiring a separate device plug…
AWS★★★★
AWS Transform for migrations adds Amazon FSx for NetApp ONTAP as a generally available storage target for block storage workloads, alongside Amazon EBS. With AWS Transform, you can now migrate block storage directly to FSx for ONTAP as part of the same migration wave that handles compute and networks, eliminating the need for intermediate storage platforms and separate migration tools. Whether migrating from NetApp ONTAP, other block storage platforms, or VMware environments, your data access patterns and operational processes remain unchanged with FSx for ONTAP. Now your workloads run on a fully managed, production-ready shared storage serv…