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.
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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.
Govern Custom Metrics Volumes in Datadog
Custom Metrics provide critical visibility into your environment and applications. In this video, we’ll show you how to govern Custom Metrics volumes in Datadog by: Building monitors to proactively catch usage spikes Identifying and attributing your largest cost drivers Reducing costs on less valuable, unused metrics.
Calico Whisker vs. Traditional Observability: Why Context Matters in Kubernetes Networking
Are you tired of digging through cryptic logs to understand your Kubernetes network? In today’s fast-paced cloud environments, clear, real-time visibility isn’t a luxury, it’s a necessity. Traditional logging and metrics often fall short, leaving you without the context needed to troubleshoot effectively. That’s precisely what Calico Whisker’s recent launch (with Calico v3.30) aims to solve. This tool provides clarity where logs alone fall short.
The Future of IT: Where Will AIOps Be in Less than 5 Years?
The future of IT: Where will AIOps be in less than 5 years? In this video, we dive deep into the evolution of Artificial Intelligence for IT Operations (AIOps) and what the next half-decade holds for businesses, IT teams, and technology leaders. AIOps is no longer just a buzzword—it’s becoming a critical part of IT operations, enabling predictive analytics, automated incident management, root cause analysis, and faster decision-making.
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.
New Suggested Actions feature in BigPanda
The new Suggested Actions feature in BigPanda surfaces relevant historical data to help L1 network operation center operators quickly diagnose and resolve incidents. Request a personalized demo here to see more.
Top Node.js Application Challenges and How Monitoring Solves Them
Deploying a Node.js application may feel straightforward at first. Everything checks out in tests, staging runs smoothly, and early users run into no problems. But as real traffic ramps up, hidden problems start to appear in unexpected ways. Requests fail intermittently, latency spikes without warning, memory usage climbs silently, and logs are scattered across multiple processes making it nearly impossible to trace the root cause.
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.
You Don't Need a Five-Year AI Plan. You Need a Five-Week One.
In my travels, I constantly hear about plans that promise to “unlock the full power of AI” down the road. The usual advice is to start small with a few pilots, then gradually scale up from there. It looks good on paper, but in practice, it becomes a months-long slog of one-off experiments that burn a lot of capital, but usually generate little impact on their own.