12/10/2025, 12:00:00 AM ~ 12/11/2025, 12:00:00 AM (UTC)
Recent Announcements
Now generally available: Amazon EC2 C8gb instances
Today, AWS announces the general availability of the new Amazon Elastic Block Storage (Amazon EBS) optimized Amazon Elastic Compute Cloud (Amazon EC2) C8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. At up to 150 Gbps of EBS bandwidth, these instances offer higher EBS performance compared to same-sized equivalent Graviton4-based instances. Take advantage of the higher block storage performance offered by these new EBS optimized EC2 instances to scale the performance and throughput of workloads such as high-performance file systems, while optimizing the cost of running your workloads.\n For increased scalability, these instances offer instance sizes up to 24xlarge, including a metal-24xl size, up to 192 GiB of memory, up to 150 Gbps of EBS bandwidth, up to 200 Gbps of networking bandwidth. These instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, metal-24xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.
The new C8gb instances are available in US East (N. Virginia) and US West (Oregon) regions. Metal sizes are only available in US East (N. Virginia) region.
To learn more, see Amazon EC2 C8gb Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Amazon EC2 X8g instances now available in Asia Pacific (Sydney) region
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Asia Pacific (Sydney) region. These instances are powered by AWS Graviton4 processors and deliver up to 60% better performance than AWS Graviton2-based Amazon EC2 X2gd instances. X8g instances offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instance. They have the best price performance among EC2 X-series instances, and are ideal for memory-intensive workloads such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications.\n X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Elastic Fabric Adapter (EFA) networking support is offered on 24xlarge, 48xlarge, and bare metal sizes, and Elastic Network Adapter (ENA) Express support is available on instance sizes larger than 12xlarge. To learn more, see Amazon EC2 X8g Instances. To quickly migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program. To get started, see the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Amazon ElastiCache Serverless now supports same-slot WATCH command
Today, we are announcing that Amazon ElastiCache Serverless now supports the WATCH command for same-slot transactions, helping developers build more reliable applications with improved data consistency in high-concurrency scenarios. With this launch, the WATCH command makes transactions conditional, ensuring they execute only when monitored keys remain unchanged.\n For ElastiCache Serverless, the WATCH command works with transactions that operate on keys within the same hash slot as the watched keys. When applications attempt to watch keys that are not in the same hash slot, they’ll receive a CROSSSLOT error. Developers can control key placement by using hash tags in their key names to ensure keys hash to the same slot. The transaction will also be aborted when ElastiCache Serverless cannot guarantee the state of watched keys. WATCH command support is available in all AWS regions where ElastiCache Serverless is supported at no additional cost. To get started, create transactions using the WATCH command through your preferred client library. To learn more about conditional transactions and the WATCH command, see the ElastiCache Serverless documentation, and the Valkey transactions documentation.
Amazon CloudWatch SDK supports optimized JSON, CBOR protocols
Amazon CloudWatch announces support for both the JSON and Concise Binary Object Representation (CBOR) protocols in the CloudWatch SDK, enabling lower latency and improved performance for CloudWatch customers. The SDK will automatically use JSON or CBOR as its new default communication protocol, offering customers a lower end-to-end processing latency as well as reduced payload sizes, application client side CPU, and memory usage.\n Customers use the CloudWatch SDK either directly or through Infrastructure as Code solutions to manage their monitoring resources. Reducing control plane operations latency and payload size helps customer optimize their operational maintenance and resources usage and costs. JSON and the CBOR data formats are standards designed to enable better performance over the traditional AWS Query protocol. The CloudWatch SDK for JSON and CBOR protocols support is available in all AWS Regions where Amazon CloudWatch is available and for all generally available AWS SDK language variants. To leverage the performance improvements, customers can install the latest SDK version here. To learn more about the AWS SDK, see Amazon Developer tools.
Amazon Braket now supports Qiskit 2.0
Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest version of the most popular quantum software framework with native primitives and client-side compilation capabilities.\n With this release, Braket provides native implementations of Qiskit’s Sampler and Estimator primitives that leverage Braket’s program sets for optimized batching, reducing execution time and costs compared to generic wrapper approaches. The native primitives handle parameter sweeps and observable measurements service-side, eliminating the need for customers to implement this logic manually. Additionally, the bidirectional circuit conversion capability enables customers to use Qiskit’s extensive compilation framework for client-side transpilation before submitting to Braket devices, providing the control and reproducibility that enterprise users and researchers require for device characterization experiments and custom compilation passes. Qiskit 2.0 support is available in all AWS Regions where Amazon Braket is available. To get started, see the Qiskit-Braket provider documentation and the Amazon Braket Developer Guide.
AWS Support Center Console now supports screen sharing for troubleshooting support cases
Today, AWS announces that AWS Support Center Console now support screen sharing for troubleshooting support cases. With this new feature, you can request a virtual meeting while in an active chat or call, join support calls with one click through a meeting bridge link. With the new virtual meetings, you will be able to share your screen during the meeting and maintain seamless access to case details for efficient troubleshooting. This enhancement simplifies your support experience by keeping all support interactions within the AWS Support Center console.\n To learn more visit the AWS Support page.
AWS Blogs
AWS Japan Blog (Japanese)
- SAP Data Ingestion and Replication with AWS Glue Zero-ETL
- AWS Weekly Roundup: AWS Re:Invent keynote recap, on-demand videos, etc. (December 8, 2025)
- Behind Amazon Aurora DSQL: Technical explanation that is interesting to know Part 5 — Using the clock with DSQL
- Behind Amazon Aurora DSQL: Technical explanation that is interesting to know Part 4 — DSQL components
- Connect to Amazon RDS for Db2 using AWS CloudShell
- Behind Amazon Aurora DSQL: Technical Explanation That’s Interesting to Know Part 3 Transaction Processing
- Behind Amazon Aurora DSQL: Technical explanation that is interesting to know Part 2 — Overview
- Behind Amazon Aurora DSQL: Technical explanation that is interesting to know Part 1 — Background
- Game development competitions made possible on AWS
- Consolidate, modernize, transform: edge computing in modern retail
AWS Architecture Blog
AWS Cloud Operations Blog
AWS Contact Center
AWS DevOps & Developer Productivity Blog
AWS for Industries
- How smart Europe Revolutionized Automotive Customer Support with Amazon Bedrock
- Kotak Mahindra Bank Modernizes Microledgers Using Amazon DynamoDB for Predictable Low Latency at Scale
Artificial Intelligence
AWS for M&E Blog
Networking & Content Delivery
AWS Security Blog
Open Source Project
AWS CLI
Amplify for JavaScript
- tsc-compliance-test@0.1.95
- 2025-12-10 Amplify JS release - aws-amplify@6.15.9
- @aws-amplify/storage@6.11.0
- @aws-amplify/rtn-web-browser@1.3.0
- @aws-amplify/rtn-passkeys-example@0.1.2
- @aws-amplify/rtn-passkeys@1.1.1
- @aws-amplify/react-native-example@0.0.30
- @aws-amplify/react-native@1.3.1
- @aws-amplify/pubsub@6.1.65
- @aws-amplify/predictions@6.1.65