News For Dev-ops

Amazon S3 Express One Zone, a high-performance S3 storage class for latency-sensitive applications, now supports S3 Inventory. S3 Inventory provides a scheduled alternative to S3's synchronous List API. You can configure S3 Inventory to generate reports on a daily or weekly basis that list your stored objects within an S3 directory bucket or with a specific prefix, and their respective metadata and encryption status. You can simplify and speed up business workflows and big data jobs with S3 Inventory, and verify encryption status of your objects to meet business, compliance, and regulatory needs. You can use the AWS CLI, AWS SDKs, or S3 API to configure a daily or weekly inventory report for all the objects within your S3 directory bucket or a subset of the objects under a shared prefix. As part of the configuration, you can specify a destination S3 bucket for your S3 Inventory report, the output file format (CSV, ORC, or Parq...

Amazon Connect now supports the use of flow modules across all Connect flows, allowing you to reuse common logic and functionality beyond inbound customer experiences. Flow modules organize repeatable logic and create common reusable functions across the customer experiences you build with flows. For example, you can now use a module to share information about a customer’s recent transactions in an agent whisper flow, preparing the agent with relevant details and leveraging functionality that was previously only available as part of inbound flows. Additionally, you can now use flow modules within other modules, enabling you to build complex logic by stitching together pre-built intermediary steps under a single module. For example, a credit card eligibility module can invoke other modules that check credit scores, verify income, and review payment history before making a final determination. This modular approach allows you to build reusable components that can be combined and extend...

On the topic of what happens if an access violation straddles multiple pages , Gil-Ad Ben Or wonders how code handled 24-bit-per-pixel formats when using video cards with bank-switched memory. "The issue is that since 64k bytes is not divisible by 3, and you usually need a pixel granularity if you aren't using some kind of buffering." This is referring to an older article about the Windows 95 VFLATD video driver helper which emulated a flat video address space even though the underlying video card used bank-switched memory by mapping the active bank into a location in the address that corresponds to its emulated flat address, and responding to page faults by switching banks and moving the mapping to the emulated flat address of the new bank . The trick falls apart if somebody makes a memory access that straddles two banks, because that leads to an infinite cycle of bank switching: The CPU raises an access violation on the first bank, and the driver maps that bank in a...

AWS Clean Rooms now supports configurable Spark properties for PySpark jobs , offering customers the ability to optimize their workloads based on their performance and scale requirements. With this launch, customers can customize Spark settings such as memory overhead, task concurrency, and network timeouts for each analysis that uses PySpark, the Python API for Apache Spark . For example, a pharmaceutical research company collaborating with healthcare organizations for real-world clinical trial data can set specific memory tuning for large-scale workloads to improve performance and optimize costs.  AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms . Post Updated on April 17, 202...

Amazon Elastic Container Registry (Amazon ECR) now automatically discovers and syncs OCI referrers, such as image signatures, SBOMs, and attestations, from upstream registries into your Amazon ECR private repositories with its pull through cache feature. Previously, when you listed referrers on a repository with a matching pull through cache rule, Amazon ECR would not return or sync referrers from the upstream repository. This meant that you had to manually list and fetch the upstream referrers. With today's launch, Amazon ECR's pull through cache will now reach upstream during referrers API requests and automatically cache related referrer artifacts in your private repository. This enables end-to-end image signature verification, SBOM discovery, and attestation retrieval workflows to work seamlessly with pull through cache repositories without requiring any client-side workarounds. This feature is available today in all AWS Regions where Amazon ECR pull through cache is ...

Amazon SageMaker HyperPod now supports flexible instance groups, enabling customers to specify multiple instance types and multiple subnets within a single instance group. Customers running training and inference workloads on HyperPod often need to span multiple instance types and availability zones for capacity resilience, cost optimization, and subnet utilization, but previously had to create and manage a separate instance group for every instance type and availability zone combination, resulting in operational overhead across cluster configuration, scaling, patching, and monitoring. With flexible instance groups, you can define an ordered list of instance types using the new InstanceRequirements parameter and provide multiple subnets across availability zones in a single instance group. HyperPod provisions instances using the highest-priority type first and automatically falls back to lower-priority types when capacity is unavailable, eliminating the need for customers to manually...