Salesforce wants to do for agentic AI what they did for SaaS by Eira May
Friday May 16^th, 2025 at 5:59 AM

Stack Overflow Blog

Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and the critical importance of guardrails and prompt engineering.

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Announcing Native Azure Functions Support in Azure Container Apps by Nitesh_Jain
Friday May 16^th, 2025 at 5:59 AM

New blog articles in Microsoft Community Hub

A New Way to Host Functions on ACA

With the new native hosting model, Azure Functions are now fully integrated into ACA. This means you can deploy and run your functions directly on ACA, taking full advantage of the robust app platform.

Create via Portal: Option to optimize for Azure function

If you are using CLI, you can deploy Azure Functions directly onto Azure Container Apps using the Microsoft.App resource provider by setting “kind=functionapp” property on the Container App resource.

Create via CLI: Set “kind=functionapp” property

Please note, in the new native hosting model,

Azure Functions extensions will continue to work as before.
Auto-scaling will remain available.
Deployments are supported through ARM templates, Bicep, Azure CLI, and the Azure portal.
Monitoring using Application Insights is supported in the same way as apps hosted by Azure Functions.
Your function app can access the same virtual networking resources provided by the Container App environment.
Entire range of event-driven triggers and bindings is available. However, only the following triggers can dynamically scale (from zero instances) when running in ACA environment. This list is consistent with earlier approach of hosting via Microsoft.Web resource provider.
All standard function tasks like processing file uploads, running AI tasks, executing scheduled jobs, or reacting to changes in a database and entire list of Azure function scenarios are supported.
Serverless GPU and GPU-enabled hosting in the Dedicated plan with workload profiles is supported.

Feature-Rich and Fully Integrated

Native Azure Functions on ACA unlock the complete feature set of Azure Container Apps, including:

Multi-revision management and traffic split
Easy Auth
Metrics & Alerting
CI/CD through Azure pipelines and GitHub actions
Health probes
Custom domains and managed certificates
And many other features that you can learn at ACA documentation

In summary, by running Functions in Container Apps, you benefit from automatic scaling, access to native ACA features, official support and a fully managed container environment—all without having to manage the underlying infrastructure yourself.

Transitioning to the new hosting method

Previously, hosting Azure Functions on Azure Container Apps (ACA) was made available using Microsoft.Web resource provider. While this method is effective, it introduced complexity and had limited access to some of ACA’s native features. Additionally, some of you may have deployed plain vanilla function images on the ACA environment, However, this approach does not offer advantages of auto-scaling and is not officially supported.

If you are currently deploying function images on Azure Container Apps, we recommend transitioning to the new native hosting model. Here are the steps to move to this new approach,

Simply create a new Function Container App using the native hosting model. You can create via Azure Portal or Azure CLI.
During the creation process, provide the function image URL of your existing function image at the appropriate steps. Additionally, remember to manually create the storage account and app insight resources, and set necessary app settings from existing app as Environment Variables and Secrets in the native Functions Container App. This will set your Function Container App with the new “kind=functionapp” property.
The new native Function Container App should be tested to ensure it is working correctly. If it is functioning as expected, you can proceed to delete the old deployment.

Get Started Today

Ready to try it out? You can deploy your first function app natively on ACA using the Azure CLI, Bicep, ARM templates, or the Azure Portal.

Explore the documentation below to learn more.

Overview: Azure functions on Azure Container App
Getting started: Create a function app on ACA
Sample Bicep template to create function app on ACA environment

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Episode 519: This is a “hit by pitch” by Software Defined Talk LLC
Friday May 16^th, 2025 at 5:58 AM

Software Defined Talk

This week, we discuss Zenoss finally getting acquired, Databricks buying Neon, and the debut of WizOS. Plus, updates on OpenAI, Google, Apple—and hot takes on Marmite, Vegemite, and Emacs.

Watch the YouTube Live Recording of Episode 519

Runner-up Titles

Vegemite is still bad
You’re probably eating it
It’s a bold statement
This episode’s all about us
Pendantic is my jam
They tell you they’re making “calculated bets”
Rupert
SlackGPT
No one knows anything, do everything

Rundown

Relevant to your Interests

Nonsense

Conferences

NDC Oslo, May 21st-23th, Coté speaking.
POST/CON 25, June 3-4, Los Angeles, CA, Brandon representing SDT.
- Register here for free pass using code BRANDON (limited to first 20 People)
- Contract-Driven Development: Unite Your Teams and Accelerate Delivery by Chris Chandler
SREDay Cologne, June 12th, 2025 - Coté speaking, discount: CLG10, 10% off.

SDT News & Community

Join our Slack community
Email the show: questions@softwaredefinedtalk.com
Free stickers: Email your address to stickers@softwaredefinedtalk.com
Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky
Watch us on: Twitch, YouTube, Instagram, TikTok
Book offer: Use code SDT for $20 off "Digital WTF" by Coté
Sponsor the show: ads@softwaredefinedtalk.com

Recommendations

Brandon: Sinners
Matt: Devs — first recommended by Brandon on episode 223

Photo Credits

Header

Download audio: https://aphid.fireside.fm/d/1437767933/9b74150b-3553-49dc-8332-f89bbbba9f92/d2454583-fcc4-4aa6-a363-429d3fda8c50.mp3

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.NET Web App Modernization Made Easy with Tomáš Herceg's New Book and DotVVM by Jamie Taylor
Friday May 16^th, 2025 at 5:58 AM

The Modern .NET Show

DotConnect and Entity Developer

dotConnect and Entity Developer boost .NET development with high-performance ADO .NET providers and visual ORM builder. Try a 30-day free trial now!

Show Notes

"I remember I had the entire life cycle of the web forms printed on a wall. It was like six sheets of paper and it was very complex, and it was very useful to have it on the wall because, like, you could always look at it and say, "okay, this is going on before this one." So you have to like switch the order of things. But that's exactly what I call interesting"— Tomáš Herceg

Welcome friends to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. We are the go-to podcast for .NET developers worldwide, and I am your host: Jamie "GaProgMan" Taylor.

In this episode, we talk with Tomáš Herceg about strategies for modernizing .NET Framework web applications such that they leverage the very latest in the .NET stack. Tomáš shares his insights from the journey of upgrading his own applications and those of his clients, both of which provided the background for his new book: "Modernizing .NET Web Applications".

"The biggest problem of the YARP migrations: that they will force you to do a lot of infrastructure things at the beginning before you even start migrating some real functionality."— Tomáš Herceg

Along the way, we discuss how using his DotVVM project can help with the migration. Not only is the upgrade path for DotVVM projects a process of swapping a NuGet package, but is also keeps the upgrade as a single in-memory process—something that YARP-based migrations aren't able to do.

Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET.

Supporting the Show

If you find this episode useful in any way, please consider supporting the show by either leaving a review (check our review page for ways to do that), sharing the episode with a friend or colleague, buying the host a coffee, or considering becoming a Patron of the show.

Full Show Notes

The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-7/dotnet-web-app-modernization-made-easy-with-tomas-hercegs-new-book-and-dotvvm/

Links:

Supporting the show:

Getting in Touch:

Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend.

And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch.

You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast.

Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show

Download audio: https://traffic.libsyn.com/clean/secure/thedotnetcorepodcast/S07E19-TomasHerceg.mp3?dest-id=767916

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Creating an Azure AI Search service by David Giard
Friday May 16^th, 2025 at 5:58 AM

David Giard

Azure AI Search provides a fast, scalable, reliable vector search service that you can extend with RAG and other AI services.

In this article, I will show how to create an Azure AI Search service.

Navigate to the Azure Portal and log in.

Click the [Create a resource] button (Fig. 1) and search for "ai search" or "azure ai search," as shown in Fig. 2.

Create Resource button
Fig. 1

Search For AI Search
Fig. 2

From the list of results, select the [Create] button in the "Azure AI Search" panel (Fig. 3) to expand the menu, and select the [Create] option, as shown in Fig. 4.

Azure AI Search Panel
Fig. 3

Create Button
Fig. 4

The "Create a search service" dialog displays with the "Basics" tab selected, as shown in Fig. 5.

Create AI Search Blade -Basics Tab
Fig. 5

At the "Subscription" dropdown, select the subscription in which you want to create this AI Search service. Many of you will have only one subscription, so you will not need to choose anything here.

At the "Resource group" field, select the resource group in which you want to create the Search service, or click the "Create new" link to create a new resource group in which to add the Search service. A resource group is a logical grouping of Azure resources you want to manage together.

At the "Service name" field, enter a unique name for this Search service.

At the "Location" dropdown, select an Azure region in which to create the Search service. Consider the location of the people and services using this service to minimize latency.

The "Pricing tier" field defaults to "Standard." If you want to change this, click the "Change pricing tier" link and select an appropriate tier from the list of options, as shown in Fig. 6.

SelectPricingTier
Fig. 6

These pricing tiers are listed in ascending order of price and capacity. You should select one that meets your needs, but resist paying for more than you need.

Fig. 7 shows the "Scale" tab. It is unnecessary to change anything on this tab, but it allows you to add more Replicas and partitions. Increasing Replicas increases the availability of the service, while increasing Partitions increases the capacity of the service. You should set the Replicas to at least 3 for production environments to achieve high availability for read and write operations.

Create AI Search Dialog - Scale Tab
Fig. 7

Fig. 8 shows the "Networking" tab. It is unnecessary to change anything on this tab, but it allows you to restrict access to the account to specific networks and configure private endpoints for the account.

Create AI Search Dialog - Networking Tab
Fig. 8

Fig. 9 shows the "Tags" tab. It is not necessary to change anything on this tab, but you can apply name-value pairs to this resource that you may use to filter or sort your reports.

Create AI Search Dialog - Tags Tab
Fig. 9

Fig. 10 shows the "Review + create" tab. If you made any errors, such as leaving a required field empty or selecting an inconsistent combination of options, these errors will be listed here, and you will need to correct them before you can proceed.

Create AI Search Dialog - Review + Create Tab
Fig. 10

After correcting any errors, click the [Create] button (Fig. 11) to start creating the Azure AI Search service.

Create Button
Fig. 11

After a short time, a confirmation message like the one in Fig. 12 will display, indicating that the Search service has been created.

Deployment Complete message
Fig. 12

Click the [Go to resource] button (Fig. 13) to show the "Overview" blade of the newly created Azure AI Search service, as shown in Fig. 14.

Go To Resource Button
Fig. 13

AI Search Overview Blade
Fig. 14

This article showed you how to create an Azure AI Search service.

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