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Around 5% of Software Projects Produce Thousands of Errors Every Month

Research firm IDC predicts that by 2025, nearly two-thirds of enterprises will be prolific software producers — with code deployed daily and over 90% of new apps developed as cloud native.

The new 2022 Airbrake Error Data Report from LogicMonitor offers insight into error patterns that can impact developer efficiency and quality. Key findings from the include:

■ Around 5% of all projects produce multiple thousands of errors every month

■ Around 90% of all projects have less than 10 different types of errors per month

In terms of fixing errors:

■ One-third of all software projects fix their errors in less than two weeks

■ 16.8% of all projects closed errors with relative immediacy (within 24 hours)

■ 32% of all projects manage to close errors within the same sprint (2-week window)

■ 37.5% of all projects closed errors after 90 days

When examining common errors that occur in individual coding languages, the report found that:

■ 75.7% of all Java projects contain java.lang.NullPointerExceptions

■ 57% of all Golang Projects contain *errors.errorString

■ 53.3% of all Ruby projects contain *NoMethodError

■ 28.3% of all Python projects contain a ConnectionError

■ 19.3% of all JavaScript projects contain a SecurityError

Goran Sandahl, Growth Director, Airbrake, said: "With today's continued focus on no-code tools and new computing paradigms like web3, it is obvious that most code is yet to be written. This means it is important that we as a community continue to highlight best practices and insights like the ones exposed in this report, and help every developer adopt monitoring as early as possible in their project lifecycles."

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Around 5% of Software Projects Produce Thousands of Errors Every Month

Research firm IDC predicts that by 2025, nearly two-thirds of enterprises will be prolific software producers — with code deployed daily and over 90% of new apps developed as cloud native.

The new 2022 Airbrake Error Data Report from LogicMonitor offers insight into error patterns that can impact developer efficiency and quality. Key findings from the include:

■ Around 5% of all projects produce multiple thousands of errors every month

■ Around 90% of all projects have less than 10 different types of errors per month

In terms of fixing errors:

■ One-third of all software projects fix their errors in less than two weeks

■ 16.8% of all projects closed errors with relative immediacy (within 24 hours)

■ 32% of all projects manage to close errors within the same sprint (2-week window)

■ 37.5% of all projects closed errors after 90 days

When examining common errors that occur in individual coding languages, the report found that:

■ 75.7% of all Java projects contain java.lang.NullPointerExceptions

■ 57% of all Golang Projects contain *errors.errorString

■ 53.3% of all Ruby projects contain *NoMethodError

■ 28.3% of all Python projects contain a ConnectionError

■ 19.3% of all JavaScript projects contain a SecurityError

Goran Sandahl, Growth Director, Airbrake, said: "With today's continued focus on no-code tools and new computing paradigms like web3, it is obvious that most code is yet to be written. This means it is important that we as a community continue to highlight best practices and insights like the ones exposed in this report, and help every developer adopt monitoring as early as possible in their project lifecycles."

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A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...