Systems | Development | Analytics | API | Testing

databox

10 Best Google Data Studio (formerly Looker Studio) Alternatives for Analytics in 2026

Jun 19, 2026 By Nevena Rudan In Databox
On April 11, 2026, Google renamed Looker Studio back to Data Studio to end years of confusion with the enterprise Looker product. The rename did not change the underlying architecture: Data Studio remains a visualization layer, not a data integration platform. That means the moment you need sources beyond Google Analytics, Google Ads, and BigQuery, you are handling extraction, transformation, schema changes, and cross-platform normalization on your own, or paying for connectors that do it for you.
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Navigational Perception in Legal Information Environments

Navigational Perception in Legal Information Environments

Jun 19, 2026 By SystemsDigest In SystemsDigest
Legal digital environments operate within a unique informational context where clarity, trust, and accessibility must coexist with complexity. Unlike many commercial websites that focus primarily on transactions or engagement, legal platforms often serve as information systems that help users understand unfamiliar situations, evaluate options, and make important decisions. To support this process, legal environments rely on layered information architecture, where content is organized into interconnected informational nodes.
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speedscale

Build WireMock mappings fast from real traffic

Jun 18, 2026 By Ken Ahrens In Speedscale
I’m a big fan of service mocking. I’ve been working in and around software for about 25 years, and one thing never changes: when you sit down to work on your code, you almost never have everything available. The database, the third-party API, the message queue, the service two teams over. Something’s missing. So you’ve got to stub it out or mock it out and keep moving.
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astera

Your AI Projects Need a Platform

Jun 18, 2026 By Ibrahim Surani In Astera
In my younger days, eons ago in tech years, I worked on many enterprises IT projects or saw them up close. Failure rates of these projects were incredibly high. There was a mortgage system that was expected to be live in six months but ended up taking over five years and went live with a small fraction of the features originally planned. Many other projects never got out of the development phase.
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confluent

Meeting Data (and Analytics) Engineers Where They Are: Introducing the dbt Adapter for Confluent Cloud

Jun 18, 2026 By Zander Matheson In Confluent
dbt is the most commonly used tool by data engineers to define SQL transformations (as models), write tests, generate documentation, and deploy through CI/CD and now it’s available with Confluent Cloud too! The magic of dbt is that it brings the engineering rigor to modern data work and data engineering, regardless of the underlying compute source - Snowflake, BigQuery, Databricks, Redshift or Confluent. You can find out more about the launch in our Q2 Confluent Cloud Launch post and the keynote.
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Ready Set Code! The Telemetry Tsunami

Jun 18, 2026 By Snowflake Inc. In Snowflake
Welcome to Ready Set Code! The game show where data engineers face off to prove who can build faster. In today's episode, "The Telemetry Tsunami," three contestants face a massive flood of nested JSON telemetry data. Their mission: flatten the arrays, join it to customer tables, and deploy a secure automated pipeline. Who will separate themselves as a data driver vs. a data downer? Find out now! Type Less. Build More.
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The Hidden Cost of AI Testing: Stop Burning LLM Tokens in Your CI/CD Pipeline

Jun 18, 2026 By Perforce In Perforce
AI testing against live LLM APIs can quietly drive massive token costs across development, QA, and CI/CD pipelines. Every test execution consumes real tokens—at production rates—creating hidden, variable costs that scale with your AI adoption. In this video, discover how leading enterprises are eliminating LLM token spend using service virtualization. Learn how BlazeMeter intercepts API calls, simulates realistic AI responses (completions, embeddings, and large payloads), and enables full-scale testing without invoking live models.
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