Operations | Monitoring | ITSM | DevOps | Cloud

Critical infrastructure is under siege. The systems that control our power grids, water treatment plants, and oil pipelines weren’t designed for a connected world. This post covers what security measures teams need to understand and how time series monitoring can help turn SCADA’s weaknesses into a security advantage.

Sometimes observability can feel like a second job. With many traditional tools, users must become experts in a proprietary language to ask a simple question. In these cases, developers or SRE’s can find themselves spending more time manually sifting through raw text, building complex data pipelines from scratch, and bouncing between fragmented dashboards than actually solving problems.

The world is transforming, and artificial intelligence, especially agentic AI, is quickly becoming embedded across private and public sectors. For government agencies, law enforcement, and mission-critical organizations, embracing this new reality is uniquely challenging. On the one hand, agentic AI promises measurable improvements: modernized IT workflows, faster analysis, improved citizen services, and operational efficiency.

From free hobby projects to $5/month developer setups and enterprise-scale clusters, Aiven for PostgreSQL scales with you. Find the perfect tier for your data. Our aim is to make your use of PostgreSQL in the cloud as easy as possible, however you’re using it. Whether you are just starting to learn the ropes or you're managing a global-scale enterprise database, the platform should adapt to you, not the other way around.

Modern operations move at a pace that leaves little room for ambiguity. When an incident emerges, teams must determine what is happening and how best to respond. Yet triage often slows under the weight of fragmented data, noisy alerts, and limited shared understanding across engineering groups. These conditions stretch routine issues into drawn-out investigations and delay action exactly when teams need to move with purpose.

A retail ERP system underwent a vertical scaling operation to support growth from 3,000 to 10,000 stores on AWS. Immediately following the cutover, users experienced widespread HTTP 503 (“Service Unavailable”) errors and checkout failures. Yet, standard performance dashboards indicated a healthy environment.

Observability isn’t just about collecting metrics and logs; it’s about proactively validating that your systems work as expected. Synthetic monitoring helps teams continuously test APIs, applications, and critical user journeys. But when those checks require the use of sensitive data, securely managing credentials becomes essential to maintain both reliability and security.

Automated Diagnostics closes the gap between detection and diagnosis instantly. Every IT operations team knows the pressure. When an alert hits at 2 a.m., it’s a race against time to find the root cause before users feel the impact. But gathering diagnostic data such as logs, process stats, and thread dumps can eat up critical minutes. That manual lag is exactly what Automated Diagnostics eliminates.

Every digital experience is a chain reaction. A customer logs in to an application, an API authenticates the request, a backend call retrieves data, a page loads, and somewhere along the way, something might break. When it does, teams often chase symptoms while the root cause remains hard to find. The more distributed the system, the more difficult it becomes to see how one small failure can cascade into a visible outage.

When signing up for SolarWinds Papertrail, you’ll see an option to choose where your data is stored. What does this mean? What should you consider when choosing a data center location? In this blog, we’ll explore how you can determine where to store your data. First off, the region you choose is the physical location where your data is stored. Once you select a region, you can’t migrate data from it, so it’s important to choose carefully.