Operations | Monitoring | ITSM | DevOps | Cloud

Analytics

SCIPY STACK VS. INFLUXDB AND GRAFANA

Scientific python programmers adore Pandas due to its many functionalities. In particular, for data manipulation and analysis it offers handy data structures and operations for numerical tables and time series. Combined with the rest of the SciPy stack and scikit-learn (e.g. for Machine Learning Analysis), multiple goals can be achieved. When it comes to on-line data analysis, interaction, or simple data navigation by multiple users, the SciPy stack can be stressed to its limits.

3 Tips to Building Sustainable Product Quality (and Peace of Mind)

As product managers, you’re ultimately the one held responsible for the entire product. So the last thing you want to assume is that someone else has got monitoring and alerts covered. In the first days of a release, all eyes are on the new product or latest feature. Just a few months later, when you introduce a brand new feature, the old one might break in the process. At times like these, you want to be ahead of your users, and not hear from your users that something isn’t working.

Logz.io Eliminates Complications Associated with Container Logging with Launch of Specialized Docker Logging Plugin

BOSTON and TEL AVIV, June 13, 2018 — Logz.io, the leading provider of AI-powered log analytics, releases a specialized Docker Logging Plugin, enabling users to easily ship container logs to Logz.io. The Docker Logging Plugin was created to relieve many of the common issues developers experience when shipping container logs such as complex configuration, accidental pausing of container shipments, and potential loss of data.