Operations | Monitoring | ITSM | DevOps | Cloud

5 Best Practices for Using Sumo Logic Notebooks for Data Science

This year, at Sumo Logic’s third annual user conference, Illuminate 2018, we presented Sumo Logic Notebooks as a way to do data science in Sumo Logic. Sumo Logic Notebooks are an experimental feature that integrate Sumo Logic, notebooks and common machine learning frameworks. They are a bold attempt to go beyond what the current Sumo Logic product has to offer and enable a data science workflow leveraging our core platform.

How to Monitor Azure Services with Sumo Logic

This week at the Microsoft Ignite, we unveiled two new Sumo Logic applications for Microsoft Azure services — Azure SQL Database and Azure Active Directory — and two new native integrations with Azure Monitor and Blob Storage. As a cloud-native company, our goal at Sumo Logic is to give our customers the flexibility to create digital IT and DevOps initiatives that leverage multi-cloud deployments in Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure.

Cloud Complexity Management, a New Need for 2019

A cloud complexity crisis is going to happen. We’re adding hundreds of workloads to the cloud on a daily basis, standing up new databases, adding different types of compute and storage, and adding cloud-based networks—and doing all of this without taking down almost no existing on-premises resources.

Grafana's Explore UI: Taking a Deeper Dive into Data with Prometheus Queries

When there’s an incident, Grafana is often the starting point for figuring out a response. Users look at a time series panel and form a hypothesis. And in many situations, they’d like to dive deeper. To help make that easier, Grafana Labs has created the Explore UI, which allows you to iterate quickly through Prometheus queries, while leaving your dashboards intact.

Grafana as a Yet Another Tool for Technical Monitoring of Software Products We Build

One more article in Logicify Monitoring Tools series talks about Grafana, a software we use both for internal and external projects to visualize and analyze the data. The article could be of interest to CTOs, developers and DevOps, system administrators and Project Managers, and everyone interested.