Speaker 1: You know those times when power apps just hit a wall,
Speaker 1: maybe a workflow stumbles, or thattaverse can't quite crunch it.
Speaker 1: What if I told you there's a way to break
Speaker 1: through with almost unlimited processing power without leaving the Microsoft ecosystem.
Speaker 1: Today we're unpacking how Azure functions and power apps can
Speaker 1: work together, so your apps are never boxed in by
Speaker 1: low code limits. Stick around, because we're not just patching cracks.
Speaker 1: We're building a system where every part does what it
Speaker 1: does best, securely and at scale. Why fusion what power
Speaker 1: apps and Azure functions each bring to the table. If
Speaker 1: you've ever found yourself hitting the upper limits of what
Speaker 1: power apps can handle, you're not alone. Anyone who's put
Speaker 1: together even a modest business app in power apps has
Speaker 1: noticed there's a ceiling. You can build forms, automate simple workflows,
Speaker 1: drop in a gallery, maybe connect a few lists or
Speaker 1: tables in data verse, and for many departments, that's the
Speaker 1: magic apps without a developer inside. But run into anything
Speaker 1: more demanding and you'll see where things unravel. For instance,
Speaker 1: you want to run a calculation using a custom algorithm
Speaker 1: built by your analytics team, Power apps isn't designed for
Speaker 1: that sort of heavy lifting, try to work around it,
Speaker 1: and you're suddenly stuck staring at delegation warnings, capped data
Speaker 1: set queries, or screens that crawl when someone tries to
Speaker 1: crunch numbers across thousands of records. Things only get more
Speaker 1: interesting once you venture outside the Microsoft three six five ecosystem.
Speaker 1: Maybe marketing wants to pull in risk scores from a
Speaker 1: non Microsoft API, or legal needs to validate data against
Speaker 1: an external government service. Power apps left alone just isn't
Speaker 1: set up for these leaps out of the box. Connectors
Speaker 1: can take you part of the way, but sooner or
Speaker 1: later you need something more direct. That's right about when
Speaker 1: the suggestion hits why not use as your functions On
Speaker 1: the surface as your function sounds like cheating the system,
Speaker 1: a way to slip in CEE, sion or JavaScript and
Speaker 1: suddenly let your power apps do things Microsoft never planned for.
Speaker 1: Need to check inventory in a legacy ERP, No need
Speaker 1: to build an entire backend, just have power apps call
Speaker 1: a custom function, get back what you need and move on.
Speaker 1: The biggest appeal is you don't need to overhaul your
Speaker 1: solution as your functions bolt onto your existing app, letting
Speaker 1: you layer in power as your requirements evolve. The integration
Speaker 1: isn't perfect, but it means you don't need to throw
Speaker 1: out weeks of low code work just because you need
Speaker 1: a bit of real coding under the hood. Of course,
Speaker 1: it's worth asking does this always make sense? Not everyone
Speaker 1: buys into the Azure functions hypes. Some architects will tell
Speaker 1: you that the second you start peppering Azure functions into
Speaker 1: a low code project, you're probably just hiding complexity instead
Speaker 1: of managing it. Every new function is another end point
Speaker 1: to secure, another piece to document, and another spot where
Speaker 1: something can break. There are plenty in the power platform
Speaker 1: community who will point out cases where adding functions only
Speaker 1: made support harder, not easier. But then talk to anyone
Speaker 1: who's tried scaling a business critical power app and they'll
Speaker 1: tell you, frankly, you don't have a choice. If the
Speaker 1: CFO is waiting for dashboards that need live calculations from
Speaker 1: half a million records, you won't get there with power
Speaker 1: apps alone. The trick is deciding where just enough ends
Speaker 1: and overkilled begins. Let's look at something tangible, a loan
Speaker 1: approval platform, for example. Picture this. Your business has a
Speaker 1: proprietary risk scoring process that's been tweaked for years by
Speaker 1: the analytics team. There's confidential math, there are data pools
Speaker 1: from three sources, and the result needs to be calculated
Speaker 1: instantly every single time someone submits an application. Power apps
Speaker 1: can't handle that in a single flow or formula. So
Speaker 1: you build a slim interface in power apps where users
Speaker 1: key in application data. That data instantly shoots off to
Speaker 1: an as you're function where the heavy logic runs server side.
Speaker 1: Finished result comes back, gets displayed, and everyone's happy. You've
Speaker 1: kept the front and simple, shielded the secret sauce and
Speaker 1: your users see results right away. Under all, this data
Speaker 1: verse is humming along, organizing records, tracking changes, keeping audit trails.
Speaker 1: Data verse excels at making sure your data is reliable,
Speaker 1: current and accessible. What it can't do, though, is host
Speaker 1: resource hungry computations or orchestrate sequence logic that spans cloud
Speaker 1: and on premises apps. That's another natural handoff point to
Speaker 1: as your functions. So if you're sitting on databases that
Speaker 1: need shape shifting queries, or you want to transform data
Speaker 1: on the fly, the line gets clear power apps for
Speaker 1: interface and light workflow, data verse for structure, as your
Speaker 1: functions for magic tricks, but here's a twist. Sometimes people
Speaker 1: toss as your functions at every tough problem and end
Speaker 1: up with a spaghetti mess of services and endpoints. It
Speaker 1: feels powerful until you have to debug why a calculation
Speaker 1: took ten seconds longer today, or audit who changed what.
Speaker 1: Teams wind up with multiple functions overlapping or running out
Speaker 1: of sync, and soon nobody wants to touch the things.
Speaker 1: So the real challenge is judgment. Is this a gap
Speaker 1: that only custom code can fill? Or are you just
Speaker 1: piling on extra layers. If you pick your spots carefully,
Speaker 1: you get what every power apps project wants, a friendly
Speaker 1: user experience with fast screens and clear logic, and a
Speaker 1: back end that does and gas for air. The first
Speaker 1: sign of complexity. You walk the line between speed and
Speaker 1: custom power. It's all about understanding what each tool can
Speaker 1: and should handle when used with a purpose. Power apps
Speaker 1: and Azure functions together actually save time, traction for the
Speaker 1: citizen developer, muscle for the power user, and structure for
Speaker 1: it that loan app inventory system or custom pricing engine.
Speaker 1: They become approachable and user friendly without losing their teeth.
Speaker 1: But all this power only works if those parts really
Speaker 1: talk to each other. Securely, reliably, and at the right moments.
Speaker 1: So let's get into what actually happens when you wire
Speaker 1: these components together and what you have to watch out for,
Speaker 1: especially as data starts moving behind the scenes, how the
Speaker 1: pieces connect, data flow and secure communication. Here's where things
Speaker 1: start to get a little more real world than Microsoft's
Speaker 1: marketing slides ever show you picture this. Power Apps is
Speaker 1: humming along upfront, handing out forms and dashboards, with data
Speaker 1: Verse doing the grunt work in the background, filing all
Speaker 1: your business data into neat rows. But once Azure functions
Speaker 1: get involved, suddenly you've got sensitive info bouncing back and
Speaker 1: forth between moving parts that weren't all designed to trust
Speaker 1: each other by default. This is where the magic or
Speaker 1: the mess happens. A lot of folks think, I'll just
Speaker 1: drop the Azure function, URL into power Apps, set up
Speaker 1: a quick HTTP call, and boom, instant power up. The
Speaker 1: more you work with this stuff, though, the more you
Speaker 1: realize nothing is truly turn key, especially when security is
Speaker 1: on the line. One wrong click, one lazy shortcut on
Speaker 1: an endpoint, and you've left the vault door propped wide open.
Speaker 1: Stories float around the power platform community where someone thought
Speaker 1: a hard coded apikey would get them across the finish line,
Speaker 1: only to find out it gave every curious app in
Speaker 1: the tenant access they never should have had. Quite a
Speaker 1: few of those stories end with a data breach or
Speaker 1: the very least an emergency tier down when security comes sniffing.
Speaker 1: Power apps tries to make most connections safe and simple
Speaker 1: using out of the box connectors. These are great for
Speaker 1: data verse, SharePoint and the other usual suspects, but as
Speaker 1: soon as you step into the world of custom APIs,
Speaker 1: especially when you're running Azure functions, you're on your own
Speaker 1: for setup. Azure functions by default don't care who calls them.
Speaker 1: That's both their power and their flaw. Nothing is stopping
Speaker 1: someone from pointing Postman at your function endpoint and firing
Speaker 1: off a payload unless you layer on proper authentication. Now
Speaker 1: you have to manage tokens, define what data can come
Speaker 1: in and out, and keep your endpoints locked down. Let's
Speaker 1: ground this in something practically. Imagine your power app collects
Speaker 1: a customer number, then triggers an Azure function that fetches
Speaker 1: data from a legacy ERP system, maybe invoices, order histories,
Speaker 1: or approval statuses. The power apps ecosystem simply can't see directly.
Speaker 1: If that handoff isn't carefully managed, anyone with the endpoint
Speaker 1: can pull sensitive records. And let's be honest, there are
Speaker 1: IT departments still out there passing static apikeys between systems.
Speaker 1: It may work, but the dangers are clear. If that
Speaker 1: key leaks, either through an overlook GitHub repo or just
Speaker 1: sloppy code, it could be reused outside your network and
Speaker 1: no audit trails coming to save use. Security experts have
Speaker 1: a favorite solution, Managed Identities and all flows. Managed identities
Speaker 1: let Azure functions do what only they should do based
Speaker 1: on permissions assigned in Azure active directory, with automatic token
Speaker 1: rotation and no static keys hanging around. O ofth adds
Speaker 1: another layer, letting users or applications prove they're allowed to
Speaker 1: call your services on paper it's clean. In real life,
Speaker 1: setting up all between power apps and a custom Azure
Speaker 1: function isn't always documented clearly, and even seasoned architects have
Speaker 1: to triple check which permissions are needed and how those
Speaker 1: tokens are handled. You end up flipping between Azure portal tabs,
Speaker 1: stacking permission groups, and testing different endpoint responses just to
Speaker 1: get a single call through. It's not glamorous, but it's
Speaker 1: where the game is won or lost. Even with all
Speaker 1: the right patterns, every point where a power app or
Speaker 1: a Zoo function touches data verse, and especially any place
Speaker 1: data jumps across systems matters. Each one is an invitation
Speaker 1: for something to go sideways, whether it's an expired token,
Speaker 1: a muliformed payload, or an attacker sniffing for gaps. What
Speaker 1: people miss is that error handling starts with these boundaries.
Speaker 1: If your app expects clean data and a call to
Speaker 1: Azure function throws an error, users will either see cryptic
Speaker 1: error codes or worse, nothing at all. Now imagine a
Speaker 1: business critical app where that invisible failure means a missed
Speaker 1: deadline or a compliance breach. Let's talk about compliance for
Speaker 1: a second. In industries like finance or healthcare, just keeping
Speaker 1: things locked down isn't enough. You have to track and
Speaker 1: audit every access point, record every request, and prove that
Speaker 1: only authorized users can trigger certain logic. Without mapping your
Speaker 1: data flows knowing exactly what goes from power apps to
Speaker 1: Azure functions and via witch routes, you're mostly guessing when
Speaker 1: auditors show up. That's not the kind of adrenaline rush
Speaker 1: anyone wants. When you nail the setup, though, it feels
Speaker 1: like a proper system. Managed identities do their job behind
Speaker 1: the scenes, Data zips back and forth securely, and everyone
Speaker 1: can sleep a little better knowing that calls are authenticated,
Speaker 1: data contracts are respected, and error handling is at least predictable.
Speaker 1: In a perfect world, power apps focuses purely on orchestrating workflows,
Speaker 1: and UI data Verse manages the records and azure functions
Speaker 1: become trusty workhorses, never a security hole waiting to happen.
Speaker 1: But getting there is more about discipline than one off
Speaker 1: clever tricks. This is where a diagram saves the day.
Speaker 1: Walking through every hop your data takes, labeling which system
Speaker 1: needs authentication, and planning for what happens if calls fail.
Speaker 1: This is basic groundwork that pays off down the road.
Speaker 1: If your power app is wired to trigger as your
Speaker 1: functions that in turn hit other APIs or write back
Speaker 1: to data verse, every hob has to be mapped and secured.
Speaker 1: Get it right, and not only does your app scale smoothly,
Speaker 1: but compliance folks aren't sending daily slack messages asking about
Speaker 1: audit logs skimp here, though, and even the slickest app
Speaker 1: can turn into a liability fast. It's not paranoia, it's
Speaker 1: pattern recognition. Every connection is a risk and an opportunity.
Speaker 1: Think carefully about how data flows. Always enforce the right
Speaker 1: security protocols, and your app won't just function, It will last,
Speaker 1: But nobody gets it perfect the first try. So what
Speaker 1: happens if one piece in this system fails? That's where
Speaker 1: the real stress test begins. And if you don't plan
Speaker 1: for breakdowns early, you're in for some late nights when
Speaker 1: things go wrong, handling failures and avoiding maintenance nightmares. Let's
Speaker 1: say a user puts in data, hits submit on the
Speaker 1: power app and walks away thinking everything's done. But behind
Speaker 1: the scenes, your azure function throws an exception, maybe a
Speaker 1: timeout or a malformed payload, and power apps never gets
Speaker 1: a proper response unless you've wired up a clear error dialogue.
Speaker 1: The user won't see a thing. They may get a
Speaker 1: spinning loader that quietly gives up, or worse, a green
Speaker 1: check mark that means nothing. By the time someone realizes
Speaker 1: there's an issue, bad data might have trickled all the
Speaker 1: way to your reports, inventory system or compliance logs that
Speaker 1: confusion is common. If you haven't lived through the aftermath
Speaker 1: of a silent failure, you're in for a treat. The
Speaker 1: cleanup is always more complicated than you expect. Fusion development,
Speaker 1: for all its flexibility, sets you up for a special
Speaker 1: kind of pain. If error handling isn't a front burner topic,
Speaker 1: the fact is errors that happen inside as your functions
Speaker 1: are kept at arm's length from power apps. By default,
Speaker 1: there's no automatic channel that catches downstream errors and feeds
Speaker 1: them back to users. In Plane English, you might see
Speaker 1: red text for a failed connector, but when it's a
Speaker 1: custom function, the app often just sits there quietly or
Speaker 1: shows a vague error code that only makes sense to
Speaker 1: a developer. It's not uncommon to misfailures entirely. That means
Speaker 1: users keep working assuming their actions were processed, while the
Speaker 1: back end is full of partial jobs and missing records.
Speaker 1: This quiet failing creates a perfect storm for maintenance nightmares.
Speaker 1: You start off with a few functions and basic logging,
Speaker 1: and it almost feels manageable. But as the app landscape
Speaker 1: grows more azure functions bolted on different flows for each department,
Speaker 1: maybe a couple of extra connectors. For non Microsoft APIs,
Speaker 1: your error handling gets stretched thin. All those endpoints and
Speaker 1: triggers become minefields for hard to trace errors. It's like
Speaker 1: having fifteen different circuit breakers scattered through your house with
Speaker 1: no central panel. When something blows, you're running upstairs, downstairs,
Speaker 1: and out to the garage just to figure out what
Speaker 1: went wrong. A lot of teams try to fix these
Speaker 1: blind spots with band aid solutions. You'll see custom error
Speaker 1: screens popping up, especially in power apps, that catch generic
Speaker 1: errors and display as something went wrong, contact it message.
Speaker 1: Some go a step further by wiring in email notifications
Speaker 1: that fire on errors, but these measures seldom catch all
Speaker 1: the edge cases. For example, if an Azure function quietly
Speaker 1: locks a warning but doesn't throw a fatal error, your
Speaker 1: app might behave as if everything's fine, Or if the
Speaker 1: function itself is unreachable, maybe someone adjusted firewall rules or
Speaker 1: an expired certificate blocks the endpoint. Your app may just
Speaker 1: time out or hang, leaving users none the wiser. Consider
Speaker 1: the real world Dynamics three sixty five order system that
Speaker 1: relies on Azure functions for last minute inventory checks. One day,
Speaker 1: the function starts timing out intermittently due to increased load,
Speaker 1: orders keep flowing through the power app because the front
Speaker 1: end isn't programmed to handle those timeouts cleanly. The result
Speaker 1: inventory counts drift, the sales team starts over promising, and
Speaker 1: the back office starts seeing complaints from customers about missing shipments.
Speaker 1: At this point, grapping through log files is the only
Speaker 1: way to unravel what happened, and if logging wasn't robust
Speaker 1: from the beginning, the trail goes cold fast. Experts who
Speaker 1: have stitched together fusion architectures suggest designing for resiliency right
Speaker 1: out of the gate. That means building retry logic. So,
Speaker 1: for example, if an Azure function fails due to a
Speaker 1: temporary network issue, power apps tries again automatically instead of
Speaker 1: simply giving up. But it also means going further setting
Speaker 1: up centralized logging, maybe using Azure application insights or analytics,
Speaker 1: so you don't have to piece together what happened from
Speaker 1: scattered places. Most crucially, aim for clear error feedback inside
Speaker 1: power apps. Don't just pass along useless error codes. Translate
Speaker 1: errors into messages users can act on, so issues are
Speaker 1: surfaced early, not buried under routine clicks. Another big piece
Speaker 1: is having a single dashboard or monitoring tool where you
Speaker 1: can track what's healthy and what's failing across all your
Speaker 1: Fusion components. If an Azure function goes down, you want
Speaker 1: to know before users starts submitting support tickets. The bigger
Speaker 1: your Fusion project gets, the more small disconnects lead to
Speaker 1: hundreds of minor problems that eat up it hours. If
Speaker 1: all your error handling is scattered, fixing bugs becomes a
Speaker 1: whack a mole exercise, and no one remembers how the
Speaker 1: whole web fits together until something critical breaks, and then
Speaker 1: there's change management. As your app ecosystem matures, updates to
Speaker 1: Azure functions may impact power apps, logic, and vice versa.
Speaker 1: A rushed update to a function or a connector may
Speaker 1: introduce a new error path that wasn't logged or handled originally.
Speaker 1: Teams working on different pieces may not realize they're introducing
Speaker 1: maintenance issues until users start complaining. This is where robust
Speaker 1: documentation and disciplined change management make the difference between a
Speaker 1: smooth running system and the patchwork that only one person
Speaker 1: in it dares to touch. If you don't need enterprise
Speaker 1: scale overhead to build resilience in even simple practices like
Speaker 1: Logging every function invocation, setting status codes, and providing fallback
Speaker 1: paths for timeouts or failed calls can move you from
Speaker 1: reactive firefighting to proactive operations. The goal is to avoid
Speaker 1: the worst case scenario, silent errors that pile up, damage
Speaker 1: data quality, erode trust in your app, and keep support
Speaker 1: teams forever on the back foot. Ultimately, strong error handling
Speaker 1: isn't glamorous, but it sets the foundation for everything else
Speaker 1: in fusion development. A robust logging, meaningful feedback, and smart
Speaker 1: retry patterns let you sleep at night even as you
Speaker 1: add new connectors, tweak logic, or on board more users.
Speaker 1: On you've got that safety net in place, you can
Speaker 1: start thinking seriously about how to carve up your logic
Speaker 1: between power apps and as your functions without adding hidden
Speaker 1: costs or turning your architecture into a performance problem waiting
Speaker 1: to happen. Architecting for scale, performance, licensing, and strategic decisions.
Speaker 1: It's easy to think the answer is just to offload
Speaker 1: as much logic as possible into as your functions, especially
Speaker 1: after seeing where power apps hits its boundaries. But once
Speaker 1: you start shipping every bit of business logic, calculation and
Speaker 1: integration call to Azure, you're trading one bottleneck for a
Speaker 1: whole set of new ones. The performance trade offs hit fast.
Speaker 1: Every call out from power Apps to an Azure function
Speaker 1: is an extra hop over the network, and that hob
Speaker 1: isn't free. The time it takes for a round trip
Speaker 1: can stack up. Maybe it's a second or two, maybe
Speaker 1: longer if your function's cold, starting or waiting on another API.
Speaker 1: Users expect a form to process instantly, but if half
Speaker 1: a dozen as you're calls line up, suddenly they're staring
Speaker 1: at spinning wheels and wondering if the app is frozen again.
Speaker 1: Network blips, regional outages, or just a brief spike in
Speaker 1: load can multiply these delays, so it's more than just
Speaker 1: milliseconds on a clock. It becomes part of the user experience.
Speaker 1: What often gets swept under the rug is how quickly
Speaker 1: costs can spiral. As your functions sound cheap at first,
Speaker 1: and for hobby projects the bill barely registers. Scale up, though,
Speaker 1: and you'll notice the meter runs faster than people expect.
Speaker 1: Each invocation, each payload run, each integration trigger, it all counts. Meanwhile,
Speaker 1: power Apps enforces its own set of usage quotas and
Speaker 1: licensing levels, especially around API calls. The entry level plan
Speaker 1: includes a set number of requests per user per day,
Speaker 1: but you start hitting premium tiers if you connect to
Speaker 1: too many custom connectors, or if your usage pattern spike.
Speaker 1: It surprises people how a burst of popularity, a promo,
Speaker 1: a new department, on boarding, or even regular month and
Speaker 1: work can push you up into unplanned licensing territory. The
Speaker 1: sticker shock on that next invoice is real if you
Speaker 1: aren't watching closely. The harder problem isn't raw cost or latency,
Speaker 1: but figuring out which bits of logic have to live where.
Speaker 1: A good rule of thumb keep the stuff you want
Speaker 1: users to feel. Those instant validations. The small checks the
Speaker 1: conditional formatting inside power apps itself, things like did the
Speaker 1: user fill out all required fields? Or does this code
Speaker 1: match an approved value can be handled on the client
Speaker 1: side with almost no weight. This keeps the UI snappy
Speaker 1: and gives users the feedback they need right away. Any
Speaker 1: logic that needs to hit a large database, run expensive calculations,
Speaker 1: or interface with external APIs belongs in Azure functions. The
Speaker 1: line sounds clean on paper, but in real life it's
Speaker 1: always a judgment call. Then you have the integrations, the
Speaker 1: connectors that link to third party services outside Microsoft. I'll
Speaker 1: ask yourself, is this something that truly needs the muscle
Speaker 1: of Azure functions, or could I lean on an existing
Speaker 1: connector in power apps? Rolling your own custom function for
Speaker 1: every so feels powerful at first, but the maintenance, cost
Speaker 1: and failure modes stack up quickly. When you do need
Speaker 1: a custom connection, say a partner API that power Apps
Speaker 1: can't talk to. Natively move that communication to Azure Functions,
Speaker 1: but don't make it the default just because you can.
Speaker 1: Let's look at what happens when you get this division
Speaker 1: wrong by building everything into Azure. In one retail scenario,
Speaker 1: a chain wanted to guarantee that pricing calculations reflected current inventory,
Speaker 1: sales trends, and promotion rules. They pushed the entirety of
Speaker 1: the calculation logic out to Azure Functions. The accuracy jumped,
Speaker 1: They nailed their sales goals, and everything balanced at the
Speaker 1: end of the week. But the operations manager opened up
Speaker 1: the Azure cost dashboard and saw the bill had nearly doubled.
Speaker 1: All those micro calculations, including what could have been basic checks,
Speaker 1: went across the wire and racked up both Azure charges
Speaker 1: and API consumption on power apps licenses. When the architecture
Speaker 1: team re evaluated, they moved threshold checks and on screen
Speaker 1: logic back to power apps where possible. That simple shift
Speaker 1: dropped the bill back to normal and actually made their
Speaker 1: app feel faster. Building for scale isn't just about today's problems.
Speaker 1: It's about planning for spikes and keeping an eye on
Speaker 1: what you can't predict. Usage monitors, alerting for API thresholds,
Speaker 1: and monthly cost reviews aren't optional skills anymore. It's frustrating
Speaker 1: to be caught off god because a seasonal rush or
Speaker 1: one well meaning automation blows up your licensing allocation. Even
Speaker 1: seasoned teams end up surprised when tweaks that look small,
Speaker 1: like moving one validation outside power apps, quietly shift the numbers.
Speaker 1: Architects who've been through a few of these projects will
Speaker 1: tell you they've learned to sketch out logic maps ahead
Speaker 1: of time and to ask uncomfortable questions about which team
Speaker 1: owns each piece. The goal isn't just to keep things running,
Speaker 1: but to prevent an accidental drift into an architecture that's slow, expensive,
Speaker 1: and a pain to troubleshoot. This doesn't mean refusing to
Speaker 1: use as your functions, far from it. It's about drawing
Speaker 1: clear bad for those high effort, compute heavy workflows, or
Speaker 1: anything that needs top notch security or hits multiple systems,
Speaker 1: Azure Functions is the right tool everywhere else, ask if
Speaker 1: the added overhead is justified. Future Proofing your app also
Speaker 1: means watching for change. Licensing plans can shift, product limits
Speaker 1: get tweaked, and what's cost effective today? Might sting in
Speaker 1: a year, set up dashboards, regular reviews, and put some
Speaker 1: heads together before expanding a fusion project to new use cases.
Speaker 1: When you architect for flexibility and transparency, you set both
Speaker 1: your app and your team up for less pain no
Speaker 1: matter how the business shifts. Getting these decisions right makes
Speaker 1: everything downstream easier, from scale to security to support. If
Speaker 1: your fusion app feels fast, stays within budget, and lets
Speaker 1: new teams on board without panic, you'll know you made
Speaker 1: the right calls. The next step is seeing the bigger
Speaker 1: picture how all these layers, choices, and trade offs add
Speaker 1: up in real life. We've seen that fusion development is
Speaker 1: less about bolt pieces together and more about each part
Speaker 1: handling what it does well. Power apps gives you that quick,
Speaker 1: approachable front end while as your functions pick up anything
Speaker 1: heavy or custom Mapping your flows ahead of time, securing
Speaker 1: every single connection and knowing what to do when errors
Speaker 1: pop up is what keeps the lights on. Getting these
Speaker 1: fundamentals right will spare you a lot of headaches. If
Speaker 1: you're wrestling with fusion headaches of your own, drop a
Speaker 1: comment and hit subscribe. There's always more to unpack as
Speaker 1: Microsoft's ecosystem keeps evolving