Operations | Monitoring | ITSM | DevOps | Cloud

The “agent vs agentless” debate usually comes up when teams are trying to choose an infrastructure automation approach that will not compromise security, compliance, or impact day-to-day operations. You need to manage a hybrid estate, avoid creating more work for already stretched teams, and ideally do it without stitching together multiple tools. That pressure often turns the conversation into a binary choice: which approach is better?

Welcome to Beyond the horizon, a monthly series celebrating the people who shape Upsun’s culture, innovation, and heart. In this month’s edition, we’re featuring Ana Cidre, Director of Developer Advocacy at Upsun and one of the key voices shaping how developers experience our platform today and in the future.

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.

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.

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.

Discover how cloud application slowness occurs despite healthy metrics and how unified observability helps identify hidden bottlenecks and resolve issues faster.

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.

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.

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.

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.