Operations | Monitoring | ITSM | DevOps | Cloud

Why it's slowing your team down - especially when AI is writing the code.

A data lake is a centralized data repository where structured, semi-structured, and unstructured data from a variety of sources can be stored in their raw format. Data lakes help eliminate data silos by acting as a single landing zone for data from multiple sources. But what's the difference between a traditional data lake and a real-time data lake? Some traditional data lakes use batch processing, which involves processing and analyzing a collection of data that has been stored over a specific timeframe. For example, payroll and billing systems that are handled on a weekly or monthly basis might use batch processing.

When a CFO evaluates a technology investment, the natural focus is often on cost reduction. That's a valid perspective-and one that will always matter-but what if there were a smarter, more impactful way to improve EBITDA? In an exclusive interview, Leandro Silva, CEO of Almaden, argues that technology decisions shouldn't only address the bottom of the income statement. To truly drive business results, leaders must also look at the top-and the key lies in the Employee Digital Experience (DEX)

Your enterprise APM tool shows SAP is using 90% CPU. The dashboard turns red. An alert fires. Now what? You open Dynatrace. You see the Java Virtual Machine metrics for your NetWeaver stack. You see HTTP response times for your Fiori apps. You see a spike in database calls. None of this tells you why VA01 takes 45 seconds to create a sales order. None of this tells you which custom ABAP report is consuming memory. None of this explains the short dump that crashed your pricing routine. This is the gap between generic APM and true SAP application performance monitoring. Your enterprise tools see the symptoms.

This practical guide explains what to say when systems break, offering ready-to-use outage notification templates and best practices to help ops teams communicate clearly during incidents. Learn how effective outage communication can reduce confusion, manage user expectations, and maintain trust during service disruptions.

Modern IT operations rely heavily on monitoring solutions like System Center Operations Manager (SCOM) to detect issues across servers, applications, and services. While SCOM excels at generating alerts, organizations often struggle to ensure these alerts translate into actionable incidents in their IT Service Management (ITSM) platforms. Without proper integration, critical alerts may be missed, tickets may be created manually, and incident resolution can be delayed.

Many cloud providers offer services that scale with usage. However, unanticipated overutilization of compute instances, serverless functions, or managed databases can quickly drive up costs. Managing these resources effectively is crucial for keeping cloud spending predictable.