Operations | Monitoring | ITSM | DevOps | Cloud

Looker - A single source of truth in multi-source world

Richard Reinders at Looker shows us how you get to Sumo Logic as a single source of truth in a multi cloud environment? How do you ensure consistency? How do you keep your team from having to go into many different systems to get their answers? Finally, how do you get other teams invested in ensuring that what you built is maintained?

Demand Forecasting Using Autonomous Forecast

Demand forecasting is the process of predicting future demand for a company’s products or services. Understanding how many customers will want to purchase or use something is critical for acquiring inventory, planning capacity, scheduling resources, producing products and managing the supply chain. How many people should you schedule for a work shift? How many widgets should you produce this quarter? When should you build additional capacity into your systems?

We Live in an Intelligence Economy - Illuminate 2019 recap

What a pleasure it was to see many of our customers at our Illuminate user conference, September 11-12. We had record attendance from customers, influencers, and partners. Our time was packed with keynotes, customer presentations (35 customer breakout sessions), certifications, sharing best practices, and time networking and having fun together.

Lighten Up! Easily Access & Analyze Your Dark Data

Jim Barksdale, former CEO of Netscape, once said “If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” While Jim may have said this in jest, the exponential boom in data collection indicates that we increasingly prefer to rely on facts rather than conjecture when making business decisions. More data yields greater insights about customer preferences and experiences, internal processes, and security vulnerabilities — just to name a few.

Parsing Log Files With Graylog - Ultimate Guide

‍ Log file parsing is the process of analyzing log file data and breaking it down into logical syntactic components. In simple words - you’re extracting meaningful data from logs that can be measured in thousands of lines. There are multiple ways to perform log file parsing: you can write a custom parser or use parsing tools and/or software.

Managing dynamic data flows across Elasticsearch clusters

Massively scaling free-text search has always been the holy grail in big data. Many software firms now face the burgeoning challenge of searching through previously untapped data sources and the current trend is far surpassing the petabyte scale. Here at LogDNA we manage free-text search for thousands of customers with distinct traffic profiles across a multitude of Elasticsearch clusters.