Cloud, Azure, AWS & enterprise IT — references and guides
Log events and performance data have always been an important part of monitoring solutions, and are often the foundation for many system and application monitoring scenarios. With this basic data coll
In the hybrid cloud era, networking monitoring is no longer restricted to your data centers and offices. The modern enterprise network is in your datacenters, your offices and most likely extended to
In this chapter, we will cover multiple OMS solutions. These solutions are not closely connected, but in some cases, complement one another in delivering a more complete monitoring solution. The chapt
In this chapter, we will explore the backup and recovery options for both on-premises and Azure-based workloads that leverage Microsoft Azure. Before we delve into your Azure-integrated backup options
OMS Log Analytics can collect large volumes of machine data from multiple sources. This data is a fantastic source of information, but at the same time, it is nothing worth if you cannot get the corre
Security has become an even more important topic in the last decade, due in part to several public security breaches of well-known companies. These security breaches increase every year not only in nu
In OMS Log Analytics, there are several solutions that are designed to assist you with monitoring your on-premises infrastructure and Azure public cloud from the network level. Two of these solutions
Global Service Monitor (GSM) is a cloud service that provides a simplified way to monitor the availability of web-based applications from multiple locations around the world. GSM tests can be performe
This document gives insight into how to approach a Teradata to Azure SQL Data Warehouse migration. This whitepaper is broken into sections which detail the migration phases, the preparation required f
Content is the most critical digital asset for every organization, embodying its knowledge and processes. How content is created, managed, and shared—and how users collaborate with that content—has go
Eliminate expensive hardware and gain flexibility
The problem. You run multiple data centers with hundreds of servers hosting diverse workloads. The servers are of a dizzying array of hardware specs and configurations. Your data centers contain netwo