Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

What SREs Can Learn from Revenue Operations (and Vice Versa)

Site reliability engineers and revenue operations teams rarely sit at the same desk. Software engineers look after cloud infrastructure while operations professionals look after data pipelines and sales funnels. Yet both teams spend their days managing complex systems that can't afford to crash. When you look past the different tools they use, the underlying principles of both roles are almost identical. Let's examine how these two technical worlds can share practical insights to build better business systems.

Are You Audit-Ready? SecOps for SAP in the Age of Constant Change

Drift Happens. Six months ago, your SAP landscape passed audit cleanly. Today? You couldn’t say for certain without a manual scramble across Basis, security, and infrastructure teams to reconstruct what’s true right now. You did exactly that for the audit, after all. That gap between “was compliant” and “is compliant” is where most SAP security programs quietly fail.
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No SAP Expertise? No Problem. Automation Just Got Easier

Avantra 21 introduced the concept of Automation workflows. By Avantra 23, compatibility with Ansible was added. Along the way, Avantra became the tool SAP teams reached for when they wanted system copies, refreshes, and backup orchestration to just run - predictably, on a schedule, without a senior engineer babysitting them. So, automation isn't new to Avantra users. Avantra made automation for SAP practical to deploy, predictable in operation, and easier to maintain.

Real-Time Satellite Monitoring with InfluxDB 3 & Claude

See how InfluxData built an AI-powered satellite fleet dashboard using InfluxDB 3 Enterprise. Head of Product Marketing Ryan Nelson demonstrates how the system handles high-cardinality telemetry and burst ingestion, detects anomalies in real time, and connects live operational data to Claude through the InfluxDB 3 MCP server. The result is faster fleet-wide analysis, reliable telemetry ingestion, and an integrated workflow for anomaly detection, investigation, and response.

It was surprisingly hard to break CloudNativePG replication

I wanted a Postgres replica that falls behind its primary. Sounds easy. It wasn't. Every time I cut the replica off from the primary, its lag jumped for a moment and then dropped right back to zero. It just would not stay behind. Chasing down why turned into a fun little tour of how a Postgres standby keeps itself alive, and what CloudNativePG quietly sets up behind the scenes.

Firewall High Memory Usage: How to Troubleshoot and Fix It

A firewall running low on memory rarely fails all at once. It degrades first. Connections drop intermittently, policies take longer to process, and by the time the device becomes unresponsive, the problem has been building for days or weeks. This article walks through what firewall memory usage actually means, what causes it to climb, how to spot the symptoms early, and how to troubleshoot and fix it before it takes your network down with it.

DNS Alerts over Syslog: TLS, CEF, and a Straight Line to Your SIEM

Enterprise teams can now add a Syslog alert channel: every DNS Spy alert delivered as an RFC 5424 message over TLS (or TCP/UDP), formatted as JSON or ArcSight CEF, with syslog priorities mapped from real alert severity. All deliveries originate from one documented static IP, so getting through your collector's firewall is a single allowlist rule.

What's New in DX NetOps Topology: Summer 2026

Your enterprise network is more distributed, diverse, and complex than ever before. Your campus, WAN, data center, and SD-WAN environments span multiple technologies and vendors. Now more than ever, the complex relationships between devices, interfaces, and network layers are critical to your day-to-day operations. When an issue arises, knowing that something is wrong is only the beginning.

Why Written AI Policies Alone Won't Protect Your Organization

Most organizations have responded to the rapid growth of AI by creating written policies that define acceptable use. A clear AI policy can establish expectations, assign responsibilities, and help employees understand how AI should and shouldn’t be used. But policy alone can’t provide oversight and is almost impossible to enforce at scale without the right tools.