Category: Network Management

Solving a Cyber Crime Case Like Sherlock Holmes

IT security managers lay a lot of emphasis on conducting log forensics investigations. According to the SANS 2013 Digital Forensics Survey , 57% of the respondents said that they conduct forensic investigations to “find and investigate incidents as they are occurring” and 75% of the respondents said they conduct forensic investigations to “find and investigate incidents after the fact”. Detecting the activity of hackers is never easy

AD Admins: Are you prepared for the worst?

One of Aesop’s greatest fables, titled ‘The Ant and the Grasshopper’, teaches us a priceless lesson for life – it is best to be prepared for the future. While the grasshopper makes merry dancing and singing during summer, the ant diligently stashes away every bit of food it can save

ManageEngine’s ServiceDesk Plus Is Now PinkVERIFY-Certified

It’s been a great year for ServiceDesk Plus. We made it to the Gartner Magic Quadrant for the second time in a row. And, today, we  are glad to announce that ServiceDesk Plus is PinkVERIFY -certified

itSMF India National Conference 2014: Introductions, Conversations, and Intense Learning

The annual conference of the IT service management forum ( itSMF ) happened in Bangalore, the Silicon Valley of India . We were at the conference for the first time, and we met lots of new people, had interesting conversations, and learned quite a bit. We packed in a lot of learning on a single day – from Kaimar   Karu’s tip on using ‘social lubricants’ for problem solving to intense panel discussions on business values of ITSM .

Big Data in ITSM

When we talk about big data in the world of IT service management (ITSM), we’re talking about two very different things: ​ Big data tools/services that IT provides to business – to number crunch business operations data. Big data within IT operations – to handle and leverage complex IT operations data. Big data services for business operations In an increasingly competitive, data-driven world, business managers are looking for effective ways to manage and interpret business data, especially big data.​ Digitalized business operations, such as e-commerce websites and mobile banking apps, produce huge amounts of data, which makes managing them close to impossible by using traditional computational models.