One of the most obvious effects of the digital age is the unprecedented advancements in technology. Thirty years back, driverless cars, missions to Mars, and AI-powered robots were pure science fiction. Today, all these things are close to being an everyday reality. And speaking of unparalleled innovations, who would’ve thought that the day would come when all the devices around us—from mobile devices to sensors and appliances—could exchange information amongst themselves.

DevOps teams use a number of monitoring, project management, log management, and other IT management tools to receive alerts when something’s up. While this helps IT teams keep their system up and running at all times, the content of the alerts sent by some applications might not be relevant or insightful to the technicians who work on those issues. Now, with the Alarm Modifier feature, you can add new fields to an alarm, modify existing fields, rename fields, or remove them altogether.

Log360 Offers Health, Performance Monitoring for Office 365 Services.

AlarmsOne already has built-in integrations with SaaS-based help desk tools such as ServiceDesk Plus On-Demand, Zendesk, and Zoho Desk to help IT management and help desk teams stay on the same page.

Do you manage your organization’s IT infrastructure? Then you’ve probably dealt with change management in some capacity. IT change management—in particular—is an IT service management (ITSM) process where alterations to some or all the components in an organization’s IT infrastructure are planned, managed, and implemented. These changes need to happen without impacting service availability or business continuity.

Company's Cloud-Based ITSM Software Accelerates IT Change Adoption in Businesses by Simplifying the Process of Building and Executing Changes.

Log360 Update Arms Enterprises with Cyberattack Mitigation Strategies Recommended by Australian Signals Directorate.

Receiving alerts when a critical event occurs is the first step in responding to a security incident. But as any security expert knows, analyzing log data can get chaotic when you have to sort through the massive volume of events generated in your network.

With the number of cyberattacks growing with each passing day, the need for increasingly sophisticated security systems has never been higher. Just when these ceaseless attacks had you at your wit’s end, machine learning may just restore some sanity to the cybersecurity scene.

Recently, there has been a string of attacks affecting some ransomware victims who pay their ransom in an attempt to regain access to their encrypted data. These ransom payments are being intercepted by a third party, ironcally turning the ransomware attackers into the second victim. As a result, the original ransomware victims are victimized a second time, as they won’t get their data back since the ransomware attackers never receive the ransom money.