Why Reliability Is a Product Feature (Not Just an Engineering Goal)

February 19, 2026 at 02:02 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Reliability isn’t a behind-the-scenes technical detail-it’s part of what users buy when they choose your product. When an app is slow, unavailable, or inconsistent, customers don’t experience it as “a […]

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DataHub and OpenLineage: A Modern Blueprint for Data Governance and End-to-End Lineage

February 19, 2026 at 02:13 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern data stacks move fast: new pipelines ship weekly, dashboards multiply, and “who changed what?” becomes a daily question. The problem isn’t that organizations lack data-it’s that they lack trust

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Why Logs, Metrics, and Traces Save Projects (and Sanity): A Practical Guide to Observability

February 19, 2026 at 01:38 PM | Est. read time: 9 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Shipping software is hard. Shipping software that stays reliable under real users, real traffic spikes, and real-world chaos is even harder. That’s where observability comes in-most commonly through the “three

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Cloud, On‑Prem, or Hybrid? How to Choose the Right Infrastructure Without Bias

February 18, 2026 at 03:26 PM | Est. read time: 13 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Choosing between cloud, on‑premises, or a hybrid approach can feel like picking sides in a debate-especially when opinions in the room are strong. But the best decision isn’t ideological. It’s

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Is Kubernetes Always the Answer? Cost and Complexity Considerations (and What to Do Instead)

February 18, 2026 at 01:30 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Kubernetes has become the default “modern infrastructure” answer for many engineering teams. Need scaling? Kubernetes. Need resilience? Kubernetes. Need portability? Kubernetes. But here’s the practical truth: Kubernetes is powerful-but it’s

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Terraform for Data Platforms: Infrastructure as Code That Scales (and Stays Sane)

February 18, 2026 at 01:33 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern data platforms move fast: new pipelines, new storage layers, new compute clusters, tighter security requirements, and constant cost pressure. If your infrastructure is still built by clicking around in

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Observability With Grafana, Prometheus, and OpenTelemetry: A Practical Guide to Metrics, Logs, and Traces

February 18, 2026 at 03:28 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern systems fail in modern ways: intermittent latency spikes, cascading timeouts, “works on my machine” deployments, and third‑party dependencies that slow everything down without warning. Traditional monitoring can tell you

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Redis vs. TimescaleDB for Real‑Time Data: Performance, Architecture, and When to Use Each

February 16, 2026 at 03:27 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Real-time applications live and die by latency, throughput, and how quickly you can turn fast-moving events into decisions. Two popular technologies often considered for these systems are Redis (an in-memory

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Why Automation Is Essential to Scaling Technical Teams (Without Burning Out Your People)

February 16, 2026 at 03:20 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Scaling a technical team isn’t just about hiring more engineers. It’s about increasing output, reliability, and speed without creating chaos, downtime, or a mountain of manual work. That’s exactly where

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