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speedscale

Debugging Without a Net: The Pain of Reproducing Production Issues

Oct 20, 2025 By Alan Mon In Speedscale
Every engineer has been there — a late-night page, a broken feature in production, and no clear way to reproduce it. The logs are vague. The metrics look normal. Your local environment works fine. Yet something somewhere is failing for real users. So begins the detective work — debugging a live system with almost no tools, no perfect test data, and no clone of production.
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appsignal

Optimizing Your Cart with Signals: Smarter State, Better Debugging

Oct 8, 2025 By Sonu Kapoor In AppSignal
In the first two parts of this series, we introduced Angular Signals and built a reactive shopping cart. Our CartService already supports core operations like adding, removing, and clearing items, as well as computing total price and item count using computed(). All of this was done without touching RxJS, subscriptions, or change detection hacks. But a real-world cart does more than tally up numbers.
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uptrace

Debugging Microservices in Production with Distributed Tracing

Oct 2, 2025 By Alexandr Bandurchin In Uptrace
Your production checkout flow just started returning 500 errors. Six microservices handle checkout. Logs show errors in three of them. Which service broke? Which error happened first? What caused the cascade? Traditional debugging doesn't work. You can't attach a debugger to production. Searching logs across six services gives thousands of lines with no obvious connection. By the time you correlate timestamps and trace IDs manually, customers have abandoned their carts.
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COREDUMP #016: From Startup to Global Brand: Scaling Engineering at reMarkable

Sep 17, 2025 By Memfault In Memfault
In today’s Coredump Session, we sit down with Nico Comier, CTO of reMarkable, to explore the journey from early-stage startup to global brand. Nico shares insights on scaling engineering teams, balancing technical credibility with leadership responsibilities, and what it really takes to bring a hardware product to market. From the pressures of product launches to the importance of customer connection, this conversation dives into the realities of building impactful technology.
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signoz

Understanding OpenTelemetry Spans in Detail

Sep 11, 2025 By Favour Daniel In SigNoz
Debugging errors in distributed systems can be a challenging task, as it involves tracing the flow of operations across numerous microservices. This complexity often leads to difficulties in pinpointing the root cause of performance issues or errors. OpenTelemetry provides instrumentation libraries in most programming languages for tracing.
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sentry

Debugging and logging in Laravel applications

Sep 10, 2025 By Kyle Tryon In Sentry
Logic errors, failed HTTP requests, background jobs that ghost silently—software breaks in all kinds of fun ways. The difference between resilient systems and fragile ones isn’t about avoiding errors altogether. It’s about how fast and clearly you can see what went wrong, and fix it. Laravel gives you a solid foundation: structured logging, real-time introspection, and built-in performance monitoring.
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trackjs

AI Wrote Your Bugs, AI Will Fix Your Bugs

Sep 10, 2025 By Todd H. Gardner In TrackJS
There’s a lot of JavaScript developers these days not actually writing code. They whisper sweet prompts to our AI tools and hope for the best. Is it really any worse than copy-pasting from StackOverflow? Welcome to the era of vibe coding, where understanding your code is optional and “it works on my machine” has evolved into “the AI said it would work.”
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signoz

Interactive Dashboards - Click Any Panel to Start Debugging

Sep 9, 2025 By Anushka Karmakar In SigNoz
Your dashboard shows a latency spike. To investigate it, you copy the query, open logs in a new tab, paste and modify the query, lose your dashboard filters, and repeat for traces. By the time you find the issue, you have 15 tabs open. Starting today, you can click any panel and investigate right there. All your filters and variables carry over. No more tab juggling.
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mezmo

The Debugging Bottleneck: A Manual Log-Sifting Expedition

Sep 2, 2025 By Mezmo In Mezmo
Imagine a developer at a fast-growing company. A customer support agent reports a critical issue: a user's recent order is stuck in a "pending" state. The agent provides a customer ID and a request ID. The developer's typical process is a familiar, painful dance: This process is slow, tedious, and prone to human error. The Mean Time to Resolution (MTTR) is measured in hours, not minutes, and it's a huge drain on engineering resources.
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