Analytics

Choosing a Centralized Log Management Solution: Top 5 Criteria

In previous posts, we’ve written about two topics covered in the Devo eBook The Shift Is On, which presents the use case for centralized log management (CLM) in the cloud. First, we looked at the 5 best practices for security logging in the cloud. Next, we delved into the question of when your organization should adopt centralized logging. In our final installment, let’s examine the five key evaluation criteria for choosing the right CLM solution for your business.

Calligo acquires US-based Decisive Data to accelerate Data Insights Services

Today, Calligo announces the acquisition of Decisive Data, a pioneer in data analytics, data science and visualization. This is a significant acquisition for Calligo as it not only increases the resources and capabilities of our Data Insights team, but it also creates the most capable, accessible and compliant data insights service for modern businesses.

5 Best Practices for Security Logging in the Cloud

Logs are critical for detecting and investigating security issues. They also provide essential visibility into business operating environments. Many organizations, when they are small and just starting out, can get away with using a local log server and storage to collect data. Almost all security teams start off with this kind of on-premises logging approach. Most teams use an open-source, homegrown solution for this type of short-term, small-scale log analytics.

I Am Devo

In their debut LP, Q: Are We Not Men? A: We Are Devo!, the band introduces their defining theme that mankind’s evolution has reached the point—devolved to the point, actually—that we are converging on sameness… emotionless and robotic. This notion informed everything from the way Devo dressed (awesome!), to the music they wrote, to the way they performed. What does the band Devo’s theme of devolution have to do with me joining a software company of the same name?

Calligo launches world's first managed service to make machine learning accessible to any business

Fully managed machine learning service handles entire management, cleanliness and governance of data, avoids costs associated with data science recruitment, and delivers more accurate insights twice as fast as AWS and Google.