Software Developer || Devops Engineer
Joined June 2020
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- Following 17
- Followers 13
- Likes 13
41 Photos and videos
Phishing has graduated from clumsy grammar mistakes and suspicious domains to fully automated, AI-synthesized campaigns that clone your login UI pixel-for-pixel, intercept OAuth flows mid-flight, and exfiltrate session tokens before your monitoring pipeline fires its first alert.
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This article walks through a concrete zero-trust frontend model for React applications, maps it against the most prevalent 2026 threat vectors, and gives you production-ready patterns you can ship this sprint.
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Reliability engineering used to be the exclusive domain of Site Reliability Engineers and infrastructure teams. But as backend developers take on more ownership of the services they build, understanding SLOs, SLAs, and error budgets has become an essential skill.
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How reliable does this service actually need to be? How do we know when we're spending too much engineering effort on reliability versus new features? And when something breaks, how do we decide whether to drop everything and fix it or continue shipping?
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This guide breaks down SLOs, SLAs, and error budgets from first principles, and
shows you how to define, implement, and operationalize them in a real backend system.
read more here: actocodes.hashnode.dev/slos-…
#SLO #ErrorBudget #SiteReliabilityEngineering #SoftwareEngineering
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An alert that fires too often stops being an alert. When on-call engineers are conditioned to dismiss notifications because most of them resolve on their own, the one real incident that demands immediate attention gets lost in the noise.
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Grafana Alerting provides a flexible, powerful platform for building exactly this. But the tooling is only as good as the threshold design behind it.
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This guide covers how to think about alert thresholds, how to implement them correctly in Grafana, and how to build an alerting strategy that your on-call team will trust, not mute.
read more here: actocodes.hashnode.dev/alert…
#Grafana #Alerting #Observability #Monitoring
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In a monolithic application, debugging a slow or failing request is straightforward, you have one codebase, one log stream, and one execution context to reason about.
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This guide walks through setting up distributed tracing in NestJS from scratch, auto-instrumenting HTTP and database calls, creating custom spans for business logic, propagating context across service boundaries, and visualizing traces in Grafana Tempo.
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Backend observability is a solved problem for most mature engineering teams. Structured logs, distributed traces, and metrics dashboards are standard practices, but the moment a user opens your web app, you lose visibility.
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This guide covers what Grafana Faro is, how to set it up in a React application, what to instrument, and how to connect frontend signals to your existing Grafana Cloud dashboards for end-to-end observability.
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