Docker and ECS: Running Containers in Production Without Overengineering
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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
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
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
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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CI/CD with GitHub Actions: Efficient Pipelines for Data Projects and Modern Apps
February 16, 2026 at 03:22 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. CI/CD (Continuous Integration and Continuous Delivery/Deployment) isn’t just a “nice-to-have” anymore-it’s the difference between shipping confidently and shipping cautiously. GitHub Actions has become one of the most practical ways to
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Real-Time Analytics: When It Adds Value-and When It Doesn’t
February 16, 2026 at 03:44 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Real-time analytics has become one of those “must-have” buzzwords-right up until teams discover the hidden costs: streaming infrastructure, always-on monitoring, and the operational complexity of acting on data in seconds.
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Qlik Agentic AI: From Reactive Analysis to Agent-Oriented Operational Intelligence
Corporate data analysis is entering a new phase. Instead of dashboard-centric interactions, the experience is now driven by agents capable of investigating changes, connecting evidence, and suggesting actions based on governed data. This advancement gained momentum with the evolution of the Qlik Agentic AI experience. The public announcement took place at the Qlik Connect 2025
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