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Is Better Release Management the Solution to the Persistent Banking App Downtime?

Joe Byrne
LaunchDarkly

The development of banking apps was supposed to provide users with convenience, control and piece of mind. However, for thousands of Halifax customers recently, a major mobile outage caused the exact opposite, leaving customers unable to check balances, or pay bills, sparking widespread frustration.

This wasn't an isolated incident. In the first four months of 2025 alone, major high-street banks including Lloyds, TSB, Bank of Scotland, Nationwide and First Direct all experienced outages. When only 23% of Brits trust financial apps, the number is unlikely to improve if banking services remain vulnerable during critical moments.

The reality is mobile banking has become a core part of daily life. For many people, it's their primary way of managing money. Data shows that 37% of UK residents check their current account balance daily so repeated failures only weaken trust in apps.

So why are these failures still happening?

The short answer is that many banks are still relying on legacy systems that weren't built for the complexity of today's digital world and they're being pushed to their limits. These platforms must now support diverse devices, operating systems, third-party integrations, and cloud services. But without modern delivery practices, even routine updates can become high-risk deployments.

To prevent future outages and build more dependable digital services, banks need to rethink how they deliver and manage change. DevOps offers a practical framework for doing just that. There are four strategies that can help banks modernize their delivery approach and minimize disruption:

1. Start small, then scale

Rather than deploying a new feature or update to all users at once, changes are rolled out in controlled stages, starting with a small percentage and expanding only when stability is confirmed, and no further issues are detected. This is especially important for banks as with a staged approach they can check potential impacts before it hits the entire customer base.

2. Keep watch in real time

Teams need a clear view of the issue before they can respond and effectively address. Continuous monitoring and observability allow DevOps teams to detect abnormal system behavior immediately. When something does go wrong, automated rollback allows a fast return to the last known good state, minimizing user impact and preserving trust.

3. Stay agile under pressure

Not every problem needs a new build. Feature flags and runtime controls empower teams to make live adjustments without a full redeployment. That means if something breaks, it can be toggled off instantly, without bringing the app down for everyone.

4. Tailor updates to your audience

Customers use different devices and platforms, so why push identical updates to everyone?

Instead of pushing updates universally, banks can target specific groups to minimize disruption and gain clearer insights into performance across different environments.

Building Resilience Starts with Modern Delivery Practices

The Halifax outage may not be the last, but it should serve as a turning point for the industry. It highlights a clear urgent need for banks to rethink how they build and maintain the systems millions rely on daily. Legacy approaches to software delivery simply can't keep pace with modern demand, and they're putting customer trust at risk.

To meet the expectations of today's users, banks need the ability to move quickly, resolve issues in real time, and deploy changes safely. DevOps provides the mindset, practices and technology to make that possible, helping institutions avoid widespread disruption while continuously improving the customer experience.

Reliability is everything. Adopting DevOps isn't just about preventing the next outage. It's about building the foundations for a more agile, trustworthy, and future-ready banking sector.

Joe Byrne is Global Field CTO at LaunchDarkly

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Is Better Release Management the Solution to the Persistent Banking App Downtime?

Joe Byrne
LaunchDarkly

The development of banking apps was supposed to provide users with convenience, control and piece of mind. However, for thousands of Halifax customers recently, a major mobile outage caused the exact opposite, leaving customers unable to check balances, or pay bills, sparking widespread frustration.

This wasn't an isolated incident. In the first four months of 2025 alone, major high-street banks including Lloyds, TSB, Bank of Scotland, Nationwide and First Direct all experienced outages. When only 23% of Brits trust financial apps, the number is unlikely to improve if banking services remain vulnerable during critical moments.

The reality is mobile banking has become a core part of daily life. For many people, it's their primary way of managing money. Data shows that 37% of UK residents check their current account balance daily so repeated failures only weaken trust in apps.

So why are these failures still happening?

The short answer is that many banks are still relying on legacy systems that weren't built for the complexity of today's digital world and they're being pushed to their limits. These platforms must now support diverse devices, operating systems, third-party integrations, and cloud services. But without modern delivery practices, even routine updates can become high-risk deployments.

To prevent future outages and build more dependable digital services, banks need to rethink how they deliver and manage change. DevOps offers a practical framework for doing just that. There are four strategies that can help banks modernize their delivery approach and minimize disruption:

1. Start small, then scale

Rather than deploying a new feature or update to all users at once, changes are rolled out in controlled stages, starting with a small percentage and expanding only when stability is confirmed, and no further issues are detected. This is especially important for banks as with a staged approach they can check potential impacts before it hits the entire customer base.

2. Keep watch in real time

Teams need a clear view of the issue before they can respond and effectively address. Continuous monitoring and observability allow DevOps teams to detect abnormal system behavior immediately. When something does go wrong, automated rollback allows a fast return to the last known good state, minimizing user impact and preserving trust.

3. Stay agile under pressure

Not every problem needs a new build. Feature flags and runtime controls empower teams to make live adjustments without a full redeployment. That means if something breaks, it can be toggled off instantly, without bringing the app down for everyone.

4. Tailor updates to your audience

Customers use different devices and platforms, so why push identical updates to everyone?

Instead of pushing updates universally, banks can target specific groups to minimize disruption and gain clearer insights into performance across different environments.

Building Resilience Starts with Modern Delivery Practices

The Halifax outage may not be the last, but it should serve as a turning point for the industry. It highlights a clear urgent need for banks to rethink how they build and maintain the systems millions rely on daily. Legacy approaches to software delivery simply can't keep pace with modern demand, and they're putting customer trust at risk.

To meet the expectations of today's users, banks need the ability to move quickly, resolve issues in real time, and deploy changes safely. DevOps provides the mindset, practices and technology to make that possible, helping institutions avoid widespread disruption while continuously improving the customer experience.

Reliability is everything. Adopting DevOps isn't just about preventing the next outage. It's about building the foundations for a more agile, trustworthy, and future-ready banking sector.

Joe Byrne is Global Field CTO at LaunchDarkly

Hot Topics

The Latest

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...