How we keep Gremlin at five 9s
Kolton Andrus, Founder and CEO of Gremlin, walks you through how we keep Gremlin at five 9s availability.
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AI's Impact on Software Devs Productivity & Downsides
AI is boosting flow, job satisfaction, and productivity for devs. But here’s the twist: it’s not actually giving us more time to do valuable work. In his GitKon talk, Nathen Harvey digs into the real impacts of AI adoption in technical teams. Yes, AI reduces toil and improves satisfaction. But it also shifts how we spend our time and sometimes that means less “valuable work” gets done. So the question becomes: how can we use AI not just to work faster, but to work better?
What is Asynchronous Job Monitoring?
Modern applications don’t process everything inside the request/response path. To keep APIs responsive, time-consuming work like image resizing, payment processing, or data syncs is moved into background queues. Workers then pick up these asynchronous jobs and run them outside the main thread. Asynchronous job monitoring is the practice of tracking these background tasks: Without this visibility, background workers become a blind spot.
Best Practices for SQL Formatting: Write Clear and Consistent Code
Inconsistent SQL formatting is a silent productivity killer. The database will execute it, but for developers, poorly structured queries lead to slower reviews, harder debugging, and errors that slip through unnoticed. Over time, this lack of consistency compounds into costly technical debt. This guide shows how to format SQL code so it remains clear, consistent, and easy to maintain.
Top woes of IT pros: A third say they're only noticed when 'something explodes'
Survey reveals the phrases, buzzwords and behaviours IT teams are sick of hearing.
Top 10 Fargate Alternatives: Simplify Your Container Deployment
Tired of complex cloud setups? Explore the top 10 Fargate alternatives and discover how Qovery can simplify your container deployment, saving you time and money.
AI's False Efficiency Curve: How To Save And Protect Your Margins
The popular narrative around AI economics is changing. At one time, Moore’s Law conditioned us to expect that smarter, faster computing would steadily get cheaper. When it comes to AI, that expectation holds true at the unit level. Per-token costs are indeed declining. But the number of tokens consumed per task is growing exponentially, making total costs spike. The tension here is important: on paper, inference is getting cheaper.
How to use Gremlin to test business processes
Amin Momin of Capgemini gives an example of injecting faults to improve reliability with a capital market exchange.
From Insight to Impact: Operationalizing DORA Metrics
In this webinar, Nathen Harvey, DORA Lead & Dev Advocate at Google Cloud and Ganesh Datta, CTO at Cortex show you how to operationalize DORA metrics so they work together, transforming insight into sustained impact.
Mastering the User Off-Boarding Process
When someone leaves your organisation — whether they resign, retire, or are let go — it’s easy to think the hard work is over. But the moment an employee’s last day arrives, a new risk window opens. If their access isn’t revoked properly or their data isn’t captured, organisations face security breaches, data loss, compliance issues, and rising costs. This is why a well-designed user off-boarding process is just as important as onboarding.