Operations | Monitoring | ITSM | DevOps | Cloud

Decades ago, IT operations was relatively simple, with a few components such as client, server, network, and the static environments. IT teams relied on manual analysis to manage these systems. Over time, however, IT operations has evolved significantly, driving the adoption of AIOps technologies.

Traditional monitoring tracks system health by collecting data such as metrics and logs, this data is checked to see if a system is behaving as expected and alerts are raised if errors or anomalous data values are found. This works well in stable, predictable environments, but modern IT systems are far more complex and dynamic. In distributed architectures like microservices and cloud-native platforms, predefined alerts usually aren’t enough to explain why a failure is happening.

As enterprises embrace hybrid work models, SaaS-driven technology stacks, and highly distributed digital workplaces, employee experience has become inseparable from business performance.For years, IT investments were focused for customer-facing digital journeys, and internal systems were not a priority. However, the scenario has changed. Today, every employee relies on a complex and interdependent chain of endpoints, networks, cloud services, identity platforms, and business applications.

Every monitoring vendor on the market now has an AI story. AIOps has moved from category buzzword to standard line-item in IT operations strategy, and the reasoning is sound: as infrastructure spreads across cloud, hybrid, microservices, and virtualized platforms, the volume and velocity of operational data has outrun what human teams can process. AI-powered monitoring is the obvious answer.

The 2am war room hasn’t gone anywhere. Ten years after Gartner coined the term AIOps, the platforms are bought, the licenses are renewed, the dashboards are live — and serious incidents still get resolved by engineers paging across multiple consoles, trying to work out where the fire actually is. MTTR has barely moved. Alert fatigue hasn’t eased. The outcomes the category promised, in most enterprises, have not arrived. Matt Lowe’s recent article on AIOps names the shortfall well.

Kerberos is a secure network authentication protocol that allows users and systems to prove their identity over a network without sending passwords in plain text. It is widely used in enterprise environments (for example, in Windows domains) to enable single sign-on (SSO). At its core, Kerberos uses a trusted authority called the Key Distribution Center (KDC) to issue encrypted “tickets” that verify identity.

One of the hot topics from our recent Citrix-focused webinar was the Citrix License Activation Service (LAS). I had the chance to present alongside George Spiers— Citrix Expert and EUC Architect —and we walked through what LAS is, how it works, and what teams should be aware of.

Recent enhancements to eG Enterprise have added functionality to allow you to proactively test your internet speed with synthetic monitoring (“robot” tests that simulate real user activity). Using the new functionality you can proactively monitor internet speeds 24×7 from any location. The performance and quality of an Internet connection plays a major role in any IT environment. Use cases for this new functionality include.

Discover how cloud application slowness occurs despite healthy metrics and how unified observability helps identify hidden bottlenecks and resolve issues faster.

IT problems happen even in the best architected infrastructure due to configuration changes, failures, upgrades and such. How quickly and effectively you can detect and resolve such problems dictates how efficient your IT operation is. Today, I’ll cover how eG Enterprise helped us troubleshoot a hardware failure (a storage battery failure) that that caused a cascade of failures in a VMware ESXi infrastructure.