News For Dev-ops

We’re excited to announce the general availability of unified manifest support for Word, Excel, PowerPoint Add-ins, in addition to Outlook Add-ins . Unified manifest support first launched for Outlook Add-ins. Now, it extends across Word, Excel, and PowerPoint, making it possible to build a single app that works across Microsoft 365 apps. This update helps developers deliver a more consistent experience for users and gives IT admins a simpler deployment model. Why it matters The unified manifest brings Microsoft 365 extensibility closer to a single, consistent model for Teams apps, Office Add-ins, and Copilot agents. Developers have already used the unified manifest in Outlook Add-ins to simplify distribution, reduce customer friction, and increase adoption. A common request was to bring these same benefits to Word, Excel, and PowerPoint Add-ins. Over the last two years, teams across Microsoft have invested in making this possible. You can now bring existing add-ins forward with less ...

Amazon Aurora DSQL is now in scope for FedRAMP Moderate in the US East (Ohio), US East (N. Virginia), and US West (Oregon) Regions. You can now use Aurora DSQL to build applications and run workloads that are subject to FedRAMP Moderate compliance requirements. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. Amazon Aurora DSQL is the fastest serverless, distributed SQL database, with active-active high availability and multi-Region strong consistency. It enables you to build always-available applications with virtually unlimited scale, the highest availability, and zero infrastructure management. To learn more about FedRAMP , visit the AWS services in scope page . To learn more about Amazon Aurora DSQL, visit the Aurora DSQL webpage and documentation . Post Updated on July 16, 2026 at 01:00AM

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in the AWS Europe (Frankfurt, Stockholm) and Asia Pacific (Mumbai) Regions. G7e instances offer up to 2.3x inference performance compared to G6e. Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVI...

AWS Glue SAP OData connector and zero-ETL integrations are now available in AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions, with support for Amazon DynamoDB, Salesforce, and SAP OData as sources. Customers operating in regulated environments can now replicate data from these sources into Amazon Redshift, Amazon S3, or other supported destinations without building or maintaining custom data pipelines. The SAP OData connector allows you to extract data from SAP systems exposing OData services, eliminating the need for custom extraction logic or third-party middleware. The zero-ETL integrations are fully managed by AWS and minimize the need to build ETL data pipelines. With this new zero-ETL integration, you can efficiently extract and load valuable data from your Amazon DynamoDB databases or Salesforce and SAP applications into your data lake and data warehouse for analysis. Zero-ETL integration reduces your operational burden and saves the weeks of engineering effort needed...

The number one crash in the display control panel looks like this: rax=ffffffffc836d280 rbx=0000000000000001 rcx=0000000000030440 rdx=0000000000000002 rsi=0000000000030440 rdi=0000000080006011 rip=00007ffac835cd1e rsp=000000155e48e3f8 rbp=000000155e48e749 r8=0000000000000000 r9=0000000000000000 r10=007fffffffe41b69 r11=00007df502390000 r12=0000000000000000 r13=0000000000000000 r14=0000000000000002 r15=0000000000000000 iopl=0 nv up ei pl nz na pe nc cs=0033 ss=002b ds=002b es=002b fs=0053 gs=002b efl=00010206 ntdll!LdrpDispatchUserCallTarget+0xe: 00007fff`924acd1e mov r11,qword ptr [r11+r10*8] ds:04007df5`0159db48=???????????????? 0:000> k Call Site ntdll!LdrpDispatchUserCallTarget+0xe user32!UserCallWinProcCheckWow+0x2bd user32!DispatchClientMessage+0x9c user32!__fnDWORD+0x33 ntdll!KiUserCallbackDispatcherContinue win32u!ZwUserDestroyWindow+0x14 comctl32!_RealPropertySheet+0x36d comctl32!_PropertySheet+0x47 Display!PropertySheetW+0x5d Display!Advanced...

This is the eighth and final article in a series about Agent Experience (AX): the practice of making AI coding agents work correctly with your technology. The series covers what you can and can't control in the agent stack, how to measure whether your extensions are helping or hurting, and how to iterate toward better outcomes. You've read seven articles about what to measure, why benchmarks don't transfer, and what hidden variables can do to your results. Now you actually have to build the thing. Most teams build an eval, run it, get scores, and feel good about the numbers. The trouble is that these evals produce confident, consistent, and unfortunately meaningless results. Contaminated data, scenarios that don't represent real usage, criteria that check the wrong thing, and scores that go up while developer experience stays flat. Why does this matter? Because evals are means to an end. You evaluate to find where models have gaps in using your technology, so you ca...