Catchpoint News Catchup Episode 07
Join, Ankit and Leon as they explore recent articles about: The current state of the AI bubble; the compelling evidence for a 4-day workweek; the enduring legacy of and nostalgia for CDs;
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
You don't control most of the infrastructure your digital services rely on.
However, your customers still expect a flawless experience, every time. The complexity of modern architectures (CDNs, DNS, APIs, cloud platforms) means that even “simple” applications can break in ways you don’t see coming. So how do you stay ahead of issues you don’t even own? By monitoring the digital delivery chain as your users experience it, across networks, geographies, and third-party dependencies, and catching performance degradations before they become business problems.
Every second of digital downtime has a cost.
When a site disruption hits, businesses face immediate and visible fallout: customer churn spikes, and revenue takes a direct hit. If customers can’t transact, your bottom line suffers, plain and simple. This insight comes from a recent Forrester survey commissioned by Catchpoint, where respondents revealed the real business impacts of Internet disruptions.
From SEO to AEO: Why Web Performance Is the Key to AI Search Success
Search isn’t what it used to be. The way people discover information online is shifting. Instead of clicking through search results, many now ask AI answer engines like ChatGPT and Perplexity to do the research for them. In March 2025, 13.1% of Google desktop searches featured AI Overviews— doubling from over 6% in January, according to Semrush analysis of 10+ million queries.
LLMs don't stand still: How to monitor and trust the models powering your AI
One Large Language Model (LLM) nails your brand’s tone but drifts after a model update. Another is lightning fast until it spikes in latency during peak hours. A third delivers brilliant answers except in specific regions where it falters.
Catchpoint News Catchup Episode 06
Join, Payal, Denton, and Leon as they explore recent articles about AOL Dialup services, AI agents, ISP throttling, and what the heck is McDonald’s “Grimace” anyway?
If you want to monitor reality, you have to monitor your users' perspective.
Not from your data center. Not from your internal network. Not from your controlled environments. Real users are on hotel Wi-Fi, public LTE, spotty networks, global cloud providers. To understand their experience, your monitoring needs to reflect their reality: location, device, network, context.
APM vs observability: why your definitions are broken
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.
Nothing about today's Internet stays in one place... so why does your monitoring?
Users are mobile. Apps are elastic. Traffic shifts constantly across clouds, ISPs, and geographies. Monitoring needs to adapt to that reality. You need visibility that moves with your users and your applications, wherever they go, however they connect. The Internet is now your application fabric. And your monitoring strategy should reflect that!
Ten Minute Troubleshooting: Meet (and Monitor) Users Where They Are
What do you do if your monitoring, APM, and synthetic tools tell you an application is up, but the users say it’s not? A good first question is to ask where your monitoring tools are located relative to both the users and the application itself. In this episode Mursi helps Leon identify his “red-light, green light” issue and adjust his monitoring to do a better job showing the REAL user’s experience.