Systems | Development | Analytics | API | Testing

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Anomaly detection 101

What is anomaly detection? Anomaly detection (aka outlier analysis) is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior. Machine learning is progressively being used to automate anomaly detection.

The Application of External Data in Everyday Life | Rise of the Data Cloud

In Part 2 of this episode, Jennifer Forrester deep dives into the value and application of external data. She talks about how data warehouses help real estate developers, telecom companies, and city planners look at traffic patterns to help determine public and product demands. Rise of the Data Cloud is brought to you by Snowflake.

[Webinar] Smooth Transition from Manual to Automated Testing

In our recent “Test Automation Landscape 2020” report, we found that "Quality at Speed” is now industry-standard, and the adoption of Agile and DevOps continues to increase. These two trends fuel the demand for automation QA professionals. If you are currently a manual tester transitioning to automation, our speaker’s stories will inspire action and prepare you for the journey ahead.

Automation Testing for Agile teams | How to Make it Right

The world is witnessing the rise of Agile methodologies in software development. They require a new approach to software testing, which must well align with the nature of Agile, a fast-moving philosophy. Test automation was not born to serve Agile teams, however, it makes Agile testing- a crucial part of the Agile concept- achievable. This article shows all essentials for the implementation of automation testing for Agile teams.

Announcing N|Solid Version 4.1.0 - NCM in N|Solid Console and NCM Strict Mode

We are excited to announce NSolid 4.1.0, which introduces NodeSource Certified Modules NCM in NSolid console and NCM Strict Mode. NodeSource Certified Modules provides you and your teams with actionable insights into the risk levels that are present in your use of third-party packages. Using a series of tests, we score packages on npm to look for a number of weighted criteria. With the NCM you can scan your projects, for existing security vulnerabilities, license concerns, code risk and code quality.

Top 5 Python Memory Profilers

According to the Stackoverflow survey of 2019, Python programming language garnered 73.1% approval among developers. It ranks second to Rust and continues to dominate in Data Science and Machine Learning(ML). Python is a developers’ favorite. It is a high-level language known for its robustness and its core philosophy―simplicity over complexity. However, Python application’s performance is another story. Just like any other application, it has its share of performance issues.

Why prospects hunt us down

A few years ago, we got an evaluation form from a prospective customer wanting to understand more about what we do. In the comments they wrote... “Please don't chase me down like those bastards at Sisense” That little nugget of gold told me a lot about the way our buyers want to purchase software - everyone hates talking to a salesperson too early. So we decided to turn our sales process on its head and put all of our technical evaluation content online.

The Downfall of DOM and the Rise of UI Testing

In our last post, we looked at the multiple layers of testing and where UI tests fit into your overall architecture. In case you didn’t read it, here’s a TLDR: Testing architecture can be grouped into 3 “layers”: Layer 1 tests tiny chunks of code in complete isolation. Layer 2 tests larger pieces of code in partial isolation.