We’re thrilled to announce a major milestone: StatusGator now monitors more than 5,000 services! Whether you rely on cloud platforms, SaaS tools, developer APIs, or infrastructure providers, we’ve got you covered. Our extensive service coverage means you can track the status of all your critical dependencies in one place, reducing downtime surprises and keeping your team informed.

I recently spoke to one of our Customers in Financial Services, who offer financial services through a network of Agents located across the United States. The agents are customer-facing and revenue generating. They rely on a variety of browser-based applications to deliver services to their clients – making these applications mission-critical.

AWS CloudWatch is a widely used observability tool that comes built into AWS. It provides easy access to logs, metrics, and alarms, making it a convenient choice for teams monitoring AWS workloads. But while CloudWatch offers a lot of power, many teams unknowingly misconfigure or misuse it, leading to unexpected costs, limited visibility, and operational challenges. Here are some common pitfalls we see—and how to avoid them.

In this article, I walk through how the growth of internal observability tooling for an AOSP device might look like, and the variety of pitfalls one might encounter as they scale from 1s to 10s to 1000s of Android devices in the field, based off my experience talking to AOSP developers and teams, and personally as an Android app developer working on AOSP hardware.

Ever wondered why some companies see significant cost savings on their cloud investments while others struggle? Success depends on a well-structured financial analysis. Many organizations focus only on migration costs, missing the bigger picture—cloud adoption isn’t just about moving workloads, it’s about financial efficiency and long-term value. Without the right financial framework, businesses risk overspending, poor resource allocation, and underwhelming ROI.

Keeping track of your infrastructure is non-negotiable. Prometheus makes that easier by collecting metrics and alerting you when something’s off. It’s a powerful tool that helps you understand what’s happening under the hood, whether you’re running a small cluster or managing large-scale applications. In this guide, we’ll break down Prometheus functions—what they do, how they work, and why they matter for better observability. Let’s get into it.

Some websites load in a snap, while others make you wonder if the internet is broken. The difference? Often, it comes down to how (and where) their content is served. A Content Delivery Network (CDN) helps by storing copies of your content in multiple locations worldwide, so users don’t have to wait for a distant server to respond. If you're on AWS, CloudFront is the built-in way to do this—helping speed things up while also handling security and traffic optimization.

Choosing between OpenTelemetry and Datadog isn't just another tool decision. It's about how you'll monitor your systems, troubleshoot issues, and ultimately keep your services running smoothly. If you've been tasked with figuring out which route to take, you're in the right place. Let's get started!

"Why buy a cloud cost optimization solution when I can just build it myself?" Here at Pepperdata, we often hear this question. Many of our prospects and customers have gone to great lengths implementing various optimization strategies and solutions to mitigate the cost of their cloud or on-prem data centers. These homegrown solutions might include monitoring tools, manual or automated instance rightsizing initiatives, enabling autoscaling, and application tuning.