Magnus Mårtensson
Microsoft Regional Director, Azure MVP, CEO Loftysoft
Avirag Jain
Director & CTO R Systems
Mahesh Chand
Founder C# Corner, CEO Mindcracker
Chris Gali
CEO & Co-Founder Graphite
Subinder Khurana
Chief Architect StoryProcess, Founder NASSCOM DeepTech Club
Bryan Rishforth
Investor, Chairman Graphite
Bryn Everson
Director Biz Dev Graphite
Raj Tiwari
Digital Transformation Leader, Futurist and Visionary
Joseph Guadagno
Microsoft MVP, Lead Quicken Loans
Nikita Sachdev
Entrepreneur, Blockchain Enthusiast & Advisor, Social Media Influencer
Doug Wagner
COO & Founder Adapt Technical Group
Ritesh Modi
Architect, Senior Evangelist, Cloud Architect
Crystal Wenrick
Director Communications Mindcracker
Allen O’Neill
Microsoft MVP, Consulting Engineer/Architect
Praveen Kumar
CEO MCN Solutions
Chris Love
Founder Love2Dev, Microsoft MVP, Author
Sanjay Vyas
Microsoft Regional Director, Microsoft MVP, Founder & CEO SkillLabs Technologies
Veena Sarda
Deep Learning Consultant, Author
Sekhar Srinivasan
C# Corner MVP, Microsoft Certified Trainer, Pluralsight Author
Lalit Bansal
Founder & CEO - EIY SYS
Navdeep Garg
CEO Revinfotech
Prakash Tripathi
Tech Manager/Leader, Microsoft MVP, Blogger
Bhavna Jain
Breakthrough Consultant
Naveen Sharma
Enterprise Architect, Leadership Coach, Author
Vidya Vrat Agarwal
Principal Architect, Microsoft MVP, Author
Sheetal Agarwal
Founder Clownselors, Medical Clown, Trainer
Abhishek Kant
Founder GTM Catalyst
Vishnu Saran
Founder & CEO VoiceQube
Sandeep Soni
Founder & CEO Deccansoft, Microsoft Certified Trainer
Parveen Malik
AVP InfoSec & Vulnerability Management, Information Security Expert
Nitin Pandit
Microsoft MVP, Developer Evangelist, Author
Niloshima Srivastava
C# Corner MVP, Tech Architect, Trainer, Blogger
Bala Chirtsabesan
Senior Software Engineer at Microsoft, Author
Manoj Mittal
Sr. Technical Architect, C# Corner MVP, Author
Chandni Di
Co-Founder Voice of Slum
Vithal Wadje
Technical Lead, Microsoft MVP, Author
Shivam Ahuja
Founder SkillCircle, Business Mentor
Chervine Bhiwoo
Solution Architect, Microsoft MVP, Author
Saurabh Jain
Vice President Paytm, Founder Fun2Do Labs, Author
Vinay Solanki
Head IoT at Lenovo, Founder IoT-NCR
Anshu kumari
Founder Blockchainkids, Inventor, Trainer
Amit Singal
CEO Startup Buddy
Dev Pratap
Co-Founder & CEO Voice of Slum
Amey Vartak
Technology Consultant, Full Stack Developer, C# Corner MVP, Author
Viswanatha Swamy
Principal Software Engineer, C# Corner MVP, Author
Sanket Verma
Research Engineer @ Ballistics (Forensics) and Chair, PyData Delhi
Sourabh Somani
Lead Developer, Microsoft MVP, Author
Abhishek Mishra
Software Architect, C# Corner MVP, Author
Siddharth Vaghasia
Technical Consultant, C# Corner MVP, Blogger
Bassam Alugili
Senior Software Specialist, Database Expert
S Ravi Kumar
Solution Architect, C# Corner MVP, Author
Sundaram Subramanian
Full Stack Developer, C# Corner MVP, Speaker
Deepesh Somani
Solution Architect, Microsoft MVP, Author
Debasis Saha
Technical Project Manager, C# Corner MVP, Blogger, Author
Vipul Jain
Software Architect, C# Corner MVP, Author
Akshay Patel
Technical Architect, Microsoft Certified Trainer, C# Corner MVP, Author
Stephen Simon
RPA Developer, Evangelist, Author
Vivek Sharma
Founder Kingster636, AR/VR Specialist
Jeetendra Gund
Technical Lead, C# Corner MVP, Author
Sujal Beniwal
AI Enthusiast, Student
M Viknaraj
Microsoft MVP, Azure Architect, Author
Prasham Sabadra
Software Architect, C# Corner MVP, Trainer, Author
Aakash Maurya
Senior Developer, C# Corner MVP, Speaker
Ankit Sharma
Senior Software Engineer, C# Corner MVP, Author
Mangesh Gaherwar
Team Lead, C# Corner MVP, Author
Viral Jain
Technical Consultant, C# Corner MVP, Author
Bhasker Das
Solution Architect, Evangelist
Manish Dwivedi
Associate Project Manager
Ck Nitin
Programmer, Author
Rohit Gupta
Technical Trainer, Author
Manish Tewatia
Full-stack Marketer, UX Designer
Bhavya Gaur
Technical Illustrator
Rohit Tomar
SEO/SMO Expert
Web Track
Cloud & Data Track
Dev Track
Registration & Breakfast
Future of Desktop Apps with JS (ElectronJs)
Nitin Pandit
Building Serverless Microservices Using Microsoft Azure
Vithal Wadje
Innovating RPA: A Robot for Every Person
Stephen Simon
Managing Cloud Storage Accounts using Logic Apps
Viknaraj Manogararajah
Data visualization using Python
Sekhar Srinivasan
Going Cross platform with AR Foundation
Vivek Sharma
Keynote
Managing your Azure dependencies in ASP.NET Core apps using VS
Bala Chirtsabesan
Securing Applications on Intelligent Azure
Abhishek Mishra
Getting started with Blazor the Framework of Future
S Ravi Kumar
Lunch
Build Progressive Web Apps using Angular 9
Debasis Saha
Build and deploy to any platform using Azure DevOps
Chervine Bhiwoo
Deep Dive in Azure Service Bus
Akshay Patel
Build a Native Mobile Application using React Native and JavaScript
Joseph Guadagno
Making sense of Web Job, Web Job SDK and Functions in Azure
Prakash Tripathi
CloudFront Distribution in AWS
Viral Jain
Tea Break
Introduction to PowerBI
Aakash Maurya
Build Advanced SPFx solutions with React and Graph API
Siddharth Vaghasia
Build Business Intelligence Analyst (BIA) Skills
Sundaram Subramanian
Deep dive of Power Platform – AI BUILDER
Prasham Sabadra
Panel 1
What's new in SharePoint development
Vipul Jain
Build a SSO (Single Sign On) based Native JavaScript application with Microsoft Identity within 10 minutes
Manoj Mittal
Panel 2
Applications and working of AI
Veena Sarda
Deploying serverless API's with .Net core 3.0 on AWS & Azure
Amey Vartak
Panel 3
Blockchain with .NET Core (Ark)
Anshu Kumari
Closing Note & Prize Distribution
Dev Track
Cloud Track
Architecture Track
Emerging Tech Track
Registration & Breakfast
Creating Full-Stack Web Apps Using Server-Side Blazor
Ankit Sharma
Real time face recognition with MS Cognitive Services
Niloshima Srivastava
Building Scalable APIs with GraphQL
Jeetendra Gund
Future of development with AI and Blockchain
Navdeep Garg
Debugging Tips and Tricks with Visual Studio 2019
Joseph Guadagno
Azure Containers
Abhishek Kant
Enterprise Architecture
Naveen Sharma
Bot Framework - learn it fast and look like a boss!
Allen O’Neill
Keynote
.Net Core & C# 8 Performance
David McCarter
Working with Azure kubernetes services
Ritesh Modi
Becoming an Architect
Vidyavrat Agarwal
Why Techies Need to Learn Product Management
Saurabh Jain
Lunch
Build a rules engine in .Net Core
Sanjay Vyas
Building CI and CD Pipeline using Azure DevOps
Sandeep Soni
Entity Framework Core - Tips and Tricks, Performance Optimization, and Tuning
Bassam Alugili
Hacking your way into Data Science
Sanket Verma
Speed up your .Net Core Website
Sourabh Somani
Azure
Magnus Mårtensson
Demystifying Open Distro for Elasticsearch
Suman Debnath
Future of Data
Shivam Ahuja
Tea Break
gRPC with C# and .Net Core
Mangesh Gaherwar
Panel 1
Essentials of Cloud security
Parveen Malik
Power platform and Dynamics 365
Deepesh Somani
Microservices - the gRPC Way
Viswanatha Swamy
Panel 2
Reserved
Reserved
Closing Note & Prize Distribution
Managing .NET deployments through Azure Cloud Shell
Azure Cloud Shell is a browser-based terminal that ships with the Azure CLI, PowerShell modules, Git, Docker, .NET SDKs and a handful of editors already wired up. For developers who spend their day moving assemblies between build servers, App Service slots and container registries, that pre-baked environment removes the usual friction of installing tools across multiple laptops and jump hosts. The shell runs in a Linux container hosted by Microsoft, persists files through an Azure file share, and inherits the permissions of whoever is signed in through the Azure portal.
For engineers working from Sydney, Brisbane or Perth, the appeal is partly about reach. A developer logging in from a regional airport lounge, a coworking space in Melbourne, or a client site in Adelaide can reach the same authenticated, up-to-date command surface without carrying a corporate image on a USB stick. Because the shell is anchored to the Azure control plane in Australia East or Australia Southeast, latency to local resources feels similar to working from a desktop in the office, and data residency stays inside Australian borders for most commands.
Setting up Cloud Shell for .NET workflows
The first practical step is launching the shell from the portal icon at the top of azure.com or pointing a local terminal at shell.azure.com. New users are asked to mount a storage account, which becomes the persistent home directory across sessions. Choosing a resource group in an Australian region keeps file access fast and avoids the cross-region costs that quietly accrue when storage lives in a faraway data centre.
Once the shell is running, the .NET CLI is already on the PATH. A quick dotnet --list-sdks confirms the installed runtimes, and dotnet workload list shows whether the Aspire, MAUI or Azure workloads are present. Most teams keep a small bootstrap script in the mounted file share that installs any missing workloads, configures NuGet sources, and sets environment variables such as DOTNET_CLI_TELEMETRY_OPTOUT so the team works the same way regardless of which engineer opens the shell.
Authentication flows through the browser the first time, after which the token is cached for several hours. For unattended scenarios, such as a scheduled runbook, a service principal or managed identity can be lifted into the session with az login --identity, which keeps credentials out of the terminal history. Teams that already use Microsoft Entra ID with conditional access policies based in Australia can layer their usual sign-in rules over the shell without extra plumbing.
Connecting to subscriptions and tenants
Australian consultancies often juggle multiple tenants: a production tenant for a Sydney-based fintech, a development tenant for an internal sandbox, and a customer tenant accessed through Azure Lighthouse. Cloud Shell supports this neatly through subscription contexts. Running az account list -o table shows every subscription the signed-in identity can see, and az account set --subscription flips between them in seconds.
When a build pipeline needs to publish a .NET artefact into a customer's subscription, the developer usually stores the target subscription ID in an environment variable and references it in deployment scripts. That avoids hard-coding tenant identifiers into source control. For organisations that separate production from non-production using separate Entra ID tenants, the same shell session can target both, provided the user has guest access in each.
Managed identities add another layer of convenience. A self-hosted agent registered with an Australian data centre can authenticate to Azure without storing secrets on disk, and the same identity can be granted AcrPull, Website Contributor and Key Vault access across several resource groups. The combination of shell context switching and identity-based access is one of the quieter productivity wins that large consultancies lean on when ramping new starters.
Pushing builds to App Service and containers
The most common .NET deployment story through Cloud Shell is a zip deploy or a container push. From the shell, dotnet publish produces a self-contained artefact, and az webapp deploy ships it to a configured App Service plan. Slot swapping, which is essential for blue-green releases on a public-facing API, can be triggered with az webapp deployment slot swap, and the same command can be wrapped in a PowerShell function so the team always passes the same flags.
For teams running .NET 8 microservices in containers, the workflow moves through Azure Container Registry. The shell already includes Docker, so az acr login --name authenticates the daemon, and docker push uploads the image. A quick az containerapp up then creates a Container App, configures ingress and pulls the image in a single command, which is handy when prototyping during a hackathon in Brisbane or a client visit in Canberra. Reviewing related material on Azure Data Factory pipelines can highlight similar patterns for moving artefacts between services in adjacent data workflows.
Scaling is configurable from the same shell. az containerapp update with revised min-replica and max-replica counts lets a small dev team match capacity to a sudden spike, such as the traffic surge that hits retail sites after a Melbourne Cup promotion or the late-November sales equivalent that local retailers now run alongside Black Friday.
Handling secrets and configuration
Configuration drift is the silent killer of .NET releases. Through Cloud Shell, environment-specific values can be pulled from Azure App Configuration or Key Vault on demand. az appconfig kv list returns the current values, and az keyvault secret show retrieves a single secret. Pipelines that deploy to Australia East and Australia Southeast regions can keep their secrets in a regional vault to satisfy data residency requirements without redesigning the application.
For local debugging, the same secrets can be exported to an .env file and read by the .NET configuration provider chain. It is worth keeping a personal sandbox Key Vault per developer so test data never crosses into shared infrastructure. Auditing who pulled which secret is straightforward: Azure Monitor captures each access event, and the log can be queried through az monitor log-analytics query.
Another habit worth forming early is using az webapp config appsettings set rather than editing the portal blade. The command is idempotent, repeatable across environments and leaves an audit trail in the deployment log. Treating every configuration change as a script means the next person arriving from a different time zone can replay the same steps without asking for screenshots.
Automating pipelines from the command line
Cloud Shell becomes most valuable when it acts as the control plane for Azure DevOps or GitHub Actions pipelines. az pipelines create builds a multi-stage YAML pipeline from a starter template, and az pipelines run triggers it on demand. That is useful during incident response: an on-call engineer can hot-fix a branch, push it, and queue a deployment from a phone hotspot while waiting for a flight out of Perth.
Within the shell, the http and rest CLI tools round out the .NET story, letting developers probe their own APIs before and after deployment. Combined with az rest calls to invoke Azure REST endpoints, the shell effectively becomes a flexible, scriptable control point for testing changes against staging environments without leaving the terminal. For teams that have standardised on the .NET Aspire orchestration story, the same shell can launch the AppHost project locally while deploying dependent resources to Azure.
Git operations feel familiar because the shell ships with a recent Git client. Cloning an Azure DevOps repo, switching branches, and tagging a release all work as expected, and the persistent file share means clone history does not vanish between sessions. Pairing this with az repos pr create shortens the review handoff for teams spread across AEST and AEDT time zones.
Observability and quick rollback
Once a deployment is live, the shell remains a useful tool for monitoring and recovery. az monitor app-insights query runs Log Analytics queries against Application Insights, surfacing failed requests, dependency failures and custom events. Australian teams that route their telemetry through the Australia East workspace benefit from sub-second query latency, which matters when an SRE is racing against an outage.
Rollback through Cloud Shell is largely a redeploy rather than a revert. Pulling the previous artefact from ACR or App Service package storage, then running az webapp deploy or az containerapp update with the prior image tag, restores service within minutes. Keeping the previous tag in a variable, set during the original deployment, removes the guesswork. It is also wise to keep a one-liner PowerShell script that swaps slots back, since slot swap is reversible but easy to forget when adrenaline is high.
Health probes and auto-heal rules can be tuned from the shell too. az webapp config set toggles always-on, sets health check paths and adjusts the auto-heal triggers that restart a struggling instance. Combined with metric alerts defined through az monitor metrics alert create, the shell gives a small team enough leverage to maintain production-grade .NET workloads without an army of operators.
Comparing Cloud Shell with local tooling
| Capability | Azure Cloud Shell | Local terminal with Azure CLI | Self-hosted CI agent |
|---|---|---|---|
| Pre-installed toolchain | .NET SDK, Docker, Git, az, pwsh | Manual per developer | Managed by pipelines |
| Authentication | Browser-based, cached | az login or service principal | Service principal or managed identity |
| Persistence | Azure file share | Local disk | Build artefacts |
| Network latency to AU regions | Low, runs in-region | Depends on developer location | Configurable |
| Cost | Free shell, storage billed | None beyond laptop | Agent VM billed hourly |
| Auditability | Portal session log | Local history file | Pipeline run logs |
| Suitability for sensitive workloads | Good with private storage | Depends on local controls | Excellent when locked down |
The table makes clear that Cloud Shell sits between a personal laptop and a fully managed build agent. It is convenient and consistent, while still leaving room for the heavier controls that regulated industries need.
Practical recommendations for Australian .NET teams
- Keep Cloud Shell storage in an Australian resource group to avoid cross-region traffic and to satisfy local data residency expectations.
- Treat every Azure CLI command that touches production as code: store it in a script under source control and review it like any other change.
- Use managed identities rather than storing service principal secrets inside the shell session, especially when working from shared networks at events or client sites.
- Pin the .NET SDK version in the shell to match what App Service or Container Apps targets, so build outputs match the runtime environment exactly.
- Schedule
az advisor recommendation listruns from the shell so the team gets a digest of cost, security and reliability advice delivered to a shared mailbox. - Practice a rollback drill during business hours in AEST, when the most engineers are online, rather than discovering the procedure during an after-hours incident.
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