☁️ AWS Daily Digest · July 15, 2026
Auto-generated · Groq (Llama 3.3 70B) · Free & Open-Source
7 highlights · ~2 min read · Quick AI briefing per item
1. AWS Lambda announces self-managed code storage
Compute · AWS What's New
AWS Lambda now supports self-managed Amazon S3 buckets for code storage, enabling direct reference to source code without intermediate copies. This benefits customers who deploy many functions and require more than 75GB of code storage per region. The elimination of code storage limits reduces function activation time after function creates and updates.
2. AWS Elastic Disaster Recovery reduces recovery time for AWS-to-AWS workloads
Compute · AWS What's New
AWS Elastic Disaster Recovery reduces recovery time for AWS-to-AWS workloads by up to 65% for Windows and up to 40% for Linux. This matters for customers who need to quickly recover their applications during disasters or drills. Faster recovery times help bring applications back online sooner with greater confidence.
3. AWS Elastic Disaster Recovery now supports Amazon EBS volume initialization rate
Compute · AWS What's New
AWS Elastic Disaster Recovery now supports Amazon EBS volume initialization rate, helping recovered volumes reach full performance faster. This is especially valuable for I/O-intensive workloads such as databases, where fast and consistent performance is crucial. Setting a volume initialization rate brings applications to full storage performance on a predictable timeline.
4. Amazon RDS now supports up to four storage modifications in 24 hours
Database · AWS What's New
Amazon RDS now allows up to four storage modifications per database instance within a 24-hour window, improving operational agility for scaling storage capacity. This benefits customers who need to adjust storage performance during sudden data growth or unexpected workload spikes. Modifications can be made without downtime, keeping applications running with minimal performance impact.
5. Announcing Lambda MicroVMs: serverless compute environments with VM-level isolation and near-instant startup
Compute · AWS Compute Blog
AWS Lambda MicroVMs provide serverless compute environments with VM-level isolation and near-instant startup performance, powered by Firecracker virtualization. This benefits customers who need to securely run just-in-time code without managing virtualization infrastructure. Lambda MicroVMs enable building data analytics applications, AI sandboxes, and interactive development environments.
6. Introducing modularized kernel cryptography in Amazon Linux
Security · AWS Compute Blog
Amazon Linux introduces modularized kernel cryptography, separating FIPS 140-3 cryptographic components into an independent kernel module. This benefits customers by simplifying FIPS compliance workflows, as only the standalone cryptographic module undergoes validation. The modular approach reduces the need for repeated kernel re-certification.
7. Amazon OpenSearch Service now supports the Agent Toolkit for AWS with a curated skill
AI/ML · AWS What's New
Amazon OpenSearch Service integrates with the Agent Toolkit for AWS, enabling customers to build and manage OpenSearch Service domains using AI coding agents. This integration benefits customers by automating tasks such as migration and operations using natural-language requests. The curated skill routes requests to the right capability, streamlining OpenSearch Service management.
#aws #cloud #lambda #disasterrecovery
Top comments (1)
I was particularly interested in the introduction of AWS Lambda MicroVMs, which provides VM-level isolation and near-instant startup performance, and how this can benefit customers who need to securely run just-in-time code without managing virtualization infrastructure. The use of Firecracker virtualization to power Lambda MicroVMs is a notable technical detail, and I'd love to explore more about the performance trade-offs and potential use cases for this feature, such as building data analytics applications or interactive development environments. How do you think Lambda MicroVMs will change the way we approach serverless compute environments, especially in terms of security and scalability?