Operations | Monitoring | ITSM | DevOps | Cloud

Your infrastructure isn’t confined to a single location anymore. It’s spread across clouds, containers, and on-prem systems, and every layer is spitting out logs: access attempts, performance spikes, error codes, config changes. That data is invaluable if you can find the signal in the noise. But with millions of logs flying by every day, that’s easier said than done.

PHP is used by millions of websites and applications around the world because it’s easy to work with and very flexible. But like any technology, PHP apps can run into problems like slow performance or errors that affect users and your business. Atatus PHP APM provides developers, DevOps engineers, and SREs with clear insights into what is happening inside PHP applications, helping them find and fix issues faster, improve performance, and keep things running smoothly.

During critical business periods, enterprise PHP applications can experience significant performance challenges, including slow page loading, workflow delays, and essential integrations timing out. As a result, operational efficiency declines, customer satisfaction decreases, and revenue streams are at risk. Enterprise PHP applications power complex business portals, SaaS platforms, internal tools, and mission-critical workflows.

You just shipped your latest frontend release. It passed QA, CI ran, and it looked great in pre-production. But now it’s live and users are hitting an unexpected error: TypeError: undefined is not a function in Chrome. Your error tracking tool flags the exception. You get a stack trace, some breadcrumbs, maybe a session replay.

Recently I was asked to offer my opinions on Application Performance Management (APM) and Observability (o11y) - how they overlap, compete, and conflict. I was just one of several folks who's ideas were solicited, so (understandably) some of my thoughts were left out of the original article. HOWEVER, I'm never one to let good words (or at least a lot of words) go to waste, so I thought I'd pull them together here.

Organizations in Brazil are eager to adopt some of the latest observability trends and technologies as they look to keep their software running as smoothly as possible, according to analysis of a micro survey recently conducted by Grafana Labs. Observability is an evolving space, and this is the first time Grafana Labs has run a Brazilian version of our annual Observability Survey.

Traditional observability tools can’t keep up with modern complexity. Dashboard and alert-based approaches still rely heavily on manual processes, resulting in longer troubleshooting cycles, slower decisions, and higher MTTR. Engineering teams need something better. Today we’re launching Open 360 AI, the first observability platform designed for both humans and AI agents working together.

In a modern DevOps environment, having just metrics or just logs is like trying to navigate with half a map because you’re missing important context that makes decisions faster and smarter. Metrics tell you what is happening (CPU spikes, request rates, failed logins) but logs tell you why it’s happening, with the timestamps to prove it.

If your challenger bank is built on composable core platforms like Mambu or Temenos, this one’s for you. Composable platforms enable API-first integration with modular services, letting you launch, adapt, and grow products quickly. That makes API health a top priority — and it shows in our State of API Reliability Report 2025 (we’ve pulled out the key fintech findings for APAC below).