Platform Engineering is a hot topic these days. We’ve seen the hype around it in 2023, and I expect we shall see it becoming production-grade as we move into 2024. I wanted to look into this topic, and learn from those who’ve already implemented it at scale: the e-commerce hyperscaler Shopify. In the latest episode of OpenObservability Talks, I had the pleasure of hosting … [Read more...] about Scaling Platform Engineering: Shopify’s Blueprint
Scaling
Key Observability Scaling Requirements for Your Next Game Launch: Part III
So far in our series on scaling observability for game launches, we’ve discussed ways to 1) quickly analyze large volumes of telemetry data and, 2) ensure high-quality telemetry data for more effective analysis at lower costs.The best practices in these blogs outline best practices for scaling observability during game launch day – which is necessary to ensure high performance … [Read more...] about Key Observability Scaling Requirements for Your Next Game Launch: Part III
Key Observability Scaling Requirements for Your Next Game Launch: Part I
After months–or potentially, years–of hard work by teams across a gaming enterprise, when the day arrives for a game launch, the last thing your enterprise needs is slowdowns, glitches, outages or poor performance. It’s the death knell for any game, because for your avid gaming customers, there’s always something else (read: a game that isn’t yours) to check out.Collecting and … [Read more...] about Key Observability Scaling Requirements for Your Next Game Launch: Part I
Survey Review: Key Challenges of Scaling Observability with Cloud Workloads
When you migrated critical infrastructure to the cloud, what were your goals and expectations?Odds are, you hoped leaving on-premises infrastructure would produce significant organizational benefits. You probably figured you’d streamline operations and reduce management overhead. You felt you’d have an easier time meeting business goals. Perhaps most important of all, you … [Read more...] about Survey Review: Key Challenges of Scaling Observability with Cloud Workloads