AWS — OffNet Newsroom — Thursday, August 06, 2026

AWS What's New 2026-08-05 awsdatabase

Aurora Serverless scales to 12 ACUs in 1s, targeting bursty agentic AI workloads

Amazon Aurora Serverless now reaches 12 ACUs within one second during scale-up events, scaling up to 256 ACUs and down to zero when idle. This faster response time is designed for agentic AI applications that experience unpredictable traffic bursts and long idle periods. The feature is enabled by default on platform versions 3 and 4, while version 1 and 2 clusters can upgrade directly to version 4 without configuration changes.

Initial scale-up to 12 ACUs in under a second reduces latency for bursty AI agent queries.
Auto-scaling to zero optimizes costs for workloads with long idle windows between agent runs.
Platform v3/v4 clusters get this behavior automatically; v1/v2 users must upgrade to v4.
No configuration changes are required to benefit from the faster scaling capability.

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AWS Database Blog 2026-08-05 awsdatabase

Tune AWS DMS to fail CDC tasks faster instead of silent retries

AWS DMS default exponential backoff settings can mask recoverable errors, allowing CDC tasks to retry silently for up to 30 minutes before finally failing. The AWS Database Blog outlines how to adjust four specific recoverable-error parameters to reduce this detection window to minutes. This tuning should be paired with Amazon EventBridge and CloudWatch alerts to ensure immediate visibility into replication issues.

Default DMS backoff hides errors for up to 30 minutes, delaying incident response.
Adjust four specific recoverable-error settings to force earlier task failure.
Pair tuned parameters with CloudWatch and EventBridge for real-time alerting.
Reduces mean time to detect (MTTD) for CDC replication breaks significantly.

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InfoQ 2026-08-06 generaldevops

Wiz Discloses CosmosEscape Sandbox Escape Granting Platform-Wide Access

Wiz Research revealed CosmosEscape, a vulnerability chain that bypassed Azure Cosmos DB's Gremlin sandbox to obtain a master key with read/write access to all databases. Microsoft patched the initial entry point within two days but did not revoke the compromised key until July 2026. The disclosure has sparked debate among practitioners regarding shared responsibility models and the costs associated with necessary architectural rethinking.

Gremlin sandbox escapes can yield platform-wide master keys, bypassing standard isolation.
Microsoft took months to revoke the compromised key after patching the entry vector.
Shared responsibility models require careful review of sandbox escape implications.
Architectural changes may be necessary to mitigate risks from platform-level key theft.
Practitioners are debating the true cost of securing serverless database services.

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AWS Database Blog 2026-08-05 awsdatabase

DynamoDB adds native vector search to eliminate separate vector DBs

Amazon DynamoDB now supports native vector similarity search, allowing applications to store and query vector embeddings alongside operational data without maintaining a separate vector database. The blog details building a semantic search application using Amazon Bedrock embeddings and explains how vector search operations are metered. This integration simplifies architecture for workloads requiring both transactional data and AI-driven retrieval.

Eliminates need for separate vector databases by integrating search directly into DynamoDB
Vectors are metered separately, impacting cost planning for high-volume embedding queries
Enables unified storage for operational data and semantic search capabilities
Simplifies architecture by reducing component count and data synchronization complexity

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AWS What's New 2026-08-05 awsdatabase

AWS Lambda scales network bandwidth to 3,000 Mbps for non-VPC functions

AWS Lambda now offers scalable network bandwidth for functions running outside a VPC, allowing up to 3,000 Mbps for instances with 2 GB of memory or more. Throughput scales proportionally, starting at 625 Mbps at the 2 GB threshold and reaching the maximum at 10 GB. This update addresses performance bottlenecks for latency-sensitive workloads that previously hit a hard 625 Mbps limit when transferring large data volumes.

Non-VPC Lambda functions now support up to 3,000 Mbps network throughput.
Bandwidth scales linearly with memory allocation from 2 GB to 10 GB.
Removes the previous 625 Mbps cap that constrained large data transfers.
Ideal for latency-sensitive workloads moving terabytes of external data.
No VPC configuration required to access these higher bandwidth tiers.

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The Register 2026-08-05 general

Wall Street fears AMD's AI concentration risk amid Helios and Venice Epyc rollout

Investors are concerned about AMD's reliance on a limited number of key customers for its AI hardware revenue. The market is watching whether new Helios racks and Venice Epyc processors can successfully challenge Nvidia's dominance. This anxiety persists regardless of the potential for AMD to gain market share if the broader AI investment bubble does not burst.

AMD's AI revenue is heavily concentrated in few baskets, raising investor risk concerns.
Helios racks and Venice Epyc CPUs are AMD's primary bets against Nvidia's market dominance.
Market sentiment is cautious, with fears that an AI bubble burst could negate AMD's growth.

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AWS What's New 2026-08-03 awsdatabase ↺ since 08-04

AWS Transform supports offline schema conversion from SQL Server to Aurora PostgreSQL

AWS Transform now allows offline migration of Microsoft SQL Server databases to Aurora PostgreSQL by uploading DDL files directly, eliminating the need for live database connections. The service uses AWS DMS to convert storage objects and an agentic interface to handle code objects like stored procedures. This update targets enterprises modernizing legacy .NET applications by enabling early assessment of database and stored procedure complexity.

No live SQL Server connection required; upload DDL files to start modernization.
AWS DMS handles storage object conversion while agentic tools process code objects.
Enables early complexity assessment of schemas and stored procedures before migration.
Streamlines legacy .NET app modernization by decoupling schema analysis from execution.

Fleet impact: Enables offline analysis of complex SQL Server schemas and stored procedures, reducing risk during migration to Aurora PostgreSQL. Plan to upload DDL files early to identify conversion gaps in stored logic before committing to live migration.

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AWS What's New 2026-08-04 awsdatabase ↺ since 08-05

Amazon S3 Vectors launches in AWS European Sovereign Cloud (Germany)

Amazon S3 Vectors is now available in the AWS European Sovereign Cloud (Germany) Region, offering purpose-built vector storage for AI agents, RAG, and semantic search. The service supports billion-vector scale with the same elasticity, durability, and availability as standard S3, while eliminating infrastructure provisioning through dedicated APIs. This expansion brings sovereign cloud capabilities for vector workloads to the German region.

S3 Vectors is now live in the AWS European Sovereign Cloud (Germany) Region.
Purpose-built for AI agents, RAG, and semantic search at billion-vector scale.
Provides S3-level durability and elasticity without infrastructure provisioning.
Uses dedicated APIs for storing, accessing, and querying vector data.

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