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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

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Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...