Operations | Monitoring | ITSM | DevOps | Cloud

How Auvik Network Management Optimizes Network Performance: Real User Insights

Network performance challenges can cripple business operations, leaving IT teams scrambling to identify bottlenecks while users experience frustrating slowdowns. Without proper visibility into bandwidth utilization, latency issues, packet loss, and network availability, organizations risk reactive troubleshooting that costs time and productivity.

Real User Experiences: How Auvik Network Management Transforms Remote Support

When distributed teams need network support, traditional approaches often fall short. The difference between a quick remote fix and hours of on-site troubleshooting can make or break productivity for organizations with dispersed infrastructure. Based on feedback from real users on PeerSpot, an enterprise technology buying intelligence platform, Auvik Network Management is changing how IT teams deliver remote support by eliminating common barriers and reducing resolution times.

The Complete Angular Error Handling Guide for Production-Ready Apps

Your Angular app just crashed in production with ‘ERROR Error: Uncaught (in promise): ’. Sound familiar? After debugging countless production fires, I’ve learned that proper error handling isn’t optional—it’s the difference between sleeping through the night and getting paged at 3 AM.

Caddy Webserver Data in Graylog

If you’re running Caddy Webserver on Ubuntu, Graylog now has a new way to make your access logs more actionable without tedious parsing or manual setup. The new Caddy Webserver Content Pack, available in Illuminate 6.4 and a Graylog Enterprise or Graylog Security license, delivers ready-to-use parsing rules, streams, and dashboards so you can quickly turn raw logs into structured, searchable insights.

Real-time OS examples: use cases across industries

In sectors where precision and predictability are non-negotiable, timing is everything. Whether coordinating robotic arms on a factory floor, maintaining ultra-reliable latency in telecom networks, or ensuring an automotive braking system responds instantly, the success of these systems depends on meeting strict timing deadlines.

Manage your dashboards and monitors at scale

In the early stages of building a system, a few well-placed dashboards and monitors can provide sufficient visibility into service health and performance. However, as infrastructure scales and teams grow, so does the complexity of the monitoring landscape. In organizations where individual teams manage their own services but rely on a central platform or observability team for tooling and guidance, this complexity can quickly multiply.

What's new for scheduling and resource management in Kubernetes v1.34?

Kubernetes v1.34, which is scheduled for release August 27, 2025, focuses on improved scheduler visibility, deeper life cycle observability, and enhanced resource management. As always, the list of changes and improvements in the official changelog is extensive, and cluster operators may be wondering which changes are most important. If you're operating a monitoring platform or depend on deep Kubernetes observability, here's how a number of new features will affect your workflows.

How to Improve Inventory Management: 7 Tips for Your Organization

Managing inventory efficiently is crucial for any business, from small retailers to large enterprises. A well-optimized inventory management system can streamline operations, reduce inventory costs, and improve profitability. In this guide, we’ll explore the best strategies for effective inventory management, highlighting how inventory management software can save time, reduce errors, and enhance real-time decision-making.

Visualize Logs Alongside Metrics: Complete Observability for Slow PostgreSQL Queries

When latency creeps into your app, metrics tell you that performance regressed, but logs tell you why. PostgreSQL’s slow-query logging gives you the exact statement, duration, user, and database which is perfect for hunting down missing indexes, inefficient filters, or N+1 patterns.