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 […]
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
A technical diagram showing the relationship between Driver, Workers, and Executors in an Apache Spark cluster. Optimization in Apache Spark is the process of adjusting data distribution and memory usage to reduce execution time and operational costs of data pipelines. To achieve maximum efficiency, tasks must be processed in balanced parallelism while avoiding excessive data
Databricks: technical guide to optimizing pipelines in Apache Spark Read More »
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
CI/CD with GitHub Actions: Efficient Pipelines for Data Projects and Modern Apps Read More »
February 13, 2026 at 05:55 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Building a modern app often means stitching together a database, authentication, file storage, APIs, and realtime updates-then keeping it all secure, scalable, and maintainable. That “glue work” can slow teams
dbt (Data Build Tool) has become one of the core pillars of the Modern Data Stack, especially in scenarios where cloud data warehouses play a central role in an organization’s analytics strategy. Its popularity is evident across technical communities, specialized forums, and data teams that seek stronger governance, traceability, and quality in analytical transformations. This
January 27, 2026 at 06:31 PM | Est. read time: 13 min By Valentina Vianna Community manager and producer of specialized marketing content Containers have become the default way to ship modern applications-but choosing where and how to orchestrate those containers is still a big decision. Two of the most common options are Amazon ECS
ECS vs Kubernetes: Tradeoffs Explained (So You Can Choose the Right Container Platform) Read More »
January 22, 2026 at 10:23 AM | Est. read time: 11 min By Valentina Vianna Community manager and producer of specialized marketing content Data engineering lives and dies by consistency: the same job should behave the same way in development, CI, staging, and production. Yet the reality is often “it works on my machine,” mismatched
January 22, 2026 at 10:21 AM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Supabase is often described as an open-source alternative to Firebase-but under the hood, its architecture is fundamentally Postgres-first. Instead of building an abstract data layer and bolting SQL on later, Supabase starts
Supabase Architecture Deep Dive: How the “Open Source Firebase Alternative” Really Works Read More »
