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Latest Blogs

Free Cycle Time Readout for GitLab Users

To celebrate GitLab’s latest release and GitLab Commit 2021 we offer free cycle time readout of all of your personal and company projects hosted on GitLab.com for a limited time. Use this link and your GitLab credentials to sign into Logilica Insights and we let you know about your software teams cycle time, delivery velocity and much more.

Securing Your SQL Server Application: Enabling Server-Initiated Encrypted Connections

Network encryption is a vital security step in hardening your application and guarding your data. Additionally, it is more often becoming a requirement by many organizations and laws (like HIPAA). In this article, we will discuss how to secure network communication between your application and the SQL Server database using an encrypted connection. We will demonstrate how encryption can be enabled and leveraged from SourcePro DB with no source code changes to your application.

BigQuery Admin reference guide: Query processing

BigQuery is capable of some truly impressive feats, be it scanning billions of rows based on a regular expression, joining large tables, or completing complex ETL tasks with just a SQL query. One advantage of BigQuery (and SQL in general), is it’s declarative nature. Your SQL indicates your requirements, but the system is responsible for figuring out how to satisfy that request. However, this approach also has its flaws - namely the problem of understanding intent.

The Top 21 Grafana Dashboards & Visualisations

In our guide on the best Grafana dashboards examples, we wanted to show you some of the best ways you can use Grafana for a variety of different use cases across your organisation. Whether you are a software architect or a lead DevOps engineer, Grafana is used to make analysis and data visualisation far easier to conduct for busy engineering and technical teams throughout the world.

Why you need metadata management and how to approach it

As your data operations evolve, they become messier. Diverse data sources and data models at their sources, multiple movements of data throughout your platform, and cobbled-up infrastructure, which has grown in complexity through every deployment have made it hard to identify, trace, classify, and understand your data assets. This can be as simple as an analyst spending hours trying to figure out where a data attribute in a table came from and whether it is trustworthy.