Operations | Monitoring | ITSM | DevOps | Cloud

Why should you monitor PowerShell?…. PowerShell is a powerful automation tool, however its capabilities also make it a prime target for exploitation by cyber attackers. Implementing a robust, automated PowerShell monitoring solution is now essential to detect and prevent exploitation attacks before they compromise your systems. PowerShell is a powerful scripting tool that can automate tasks and manage systems, but its flexibility also makes it a target for abuse.

Imagine this: Your IT team has invested in cutting-edge observability tools to keep systems running smoothly. But does that imply you are following observability best practices? As your business grows, so does the flood of logs, traces, and metrics—along with a skyrocketing cloud bill. What started as a way to gain better visibility is now a major expense, and suddenly, you’re asking: Are we paying too much for too little value? This challenge is becoming all too common.

Since the COVID-19 pandemic, organizations have shifted their workforce to remote and hybrid operations. This transition has birthed a new demand for cloud-based desktop solutions to let employees access their desktops from anywhere. The demand for these solutions spotlights services like Windows 365 vs. Azure Virtual Desktop (AVD). These two services move desktop environments to the cloud, facilitating collaboration between teams.

In the face of rapid technological advancements, businesses must redefine how they operate. Staying ahead of emerging IT trends is non-negotiable if you want to maintain an edge. From remarkable improvements in artificial intelligence (AI) and automation to enhanced connectivity and the provision of more personalized IT services, these developments present numerous opportunities to increase productivity and outshine competitors. Eager to learn what you should add to your IT strateg y in 2025?

Just a quick blog to let you know that eG Enterprise v7.5 has introduced support for further ticketing systems – including for popular ITSM solutions such as BigPanda and Freshservice.

The shift toward remote work has made reliable and secure access to company resources more important than ever. As organizations explore different solutions to address these needs, two popular technologies stand out: Virtual Desktop Infrastructure and Virtual Private Networks, or VDI and VPN. Both offer distinct benefits for connecting employees to critical systems, but the differences between them can significantly impact your business operations.

NIS2 (Network and Information Security Directive 2) is the European Union’s updated cybersecurity directive, replacing the original NIS Directive (2016), often referenced to as NIS1. NIS2 was adopted in December 2022 and the deadline for implementation by EU member states was October 17, 2024. NIS2 strengthens cybersecurity requirements across essential and important sectors to enhance cyber resilience and response capabilities.

As microservices-based architectures have taken off, Docker and Kubernetes have risen as two leading platforms for container operations. While Docker helped popularize the container model, Kubernetes has evolved into a versatile solution for orchestrating production container workloads at a massive scale. However, their similarities obscure important distinctions in how each approaches container management. This post sheds light on the functional differences between Docker and Kubernetes.

Effective logging is essential for any Python application, especially those powering critical backend services. Logs capture diagnostic information about a system’s performance and behavior, enabling better observability and uninterrupted monitoring—both critical as distributed systems grow in complexity. Luckily, Python’s built-in logging module streamlines log management with customizable formats that enhance readability.

It’s 2 a.m. Alerts flood your dashboard. Transactions are failing, but logs offer no clues. Your SRE team is drowning in noise—while users struggle with outages. As Java workloads shift to microservices, Kubernetes, and the cloud, this problem is compounded. Exceptions cascade across tiers, triggering blame games while the root cause remains buried under fragmented logs and scattered alerts. Legacy monitoring tools overwhelm SREs with raw data but fail to connect the dots.