Kubernetes has become the de facto standard for cloud-based applications. As companies migrate more and more workloads, ensuring reliable connectivity and performance are critical not just for user applications but also for the cluster itself. In this article, we will discuss how augmenting your system monitoring with in-cluster synthetic testing can give you proactive indicators that something might be headed for trouble.
It's almost Halloween, and we have a spooky and scary story for you. Don’t jump out of your seat, but did you know that most data centers are haunted and overrun by the undead? That’s right. Ghost servers (also known as zombie servers) are everywhere. In fact, up to 30% of servers in any data center may be ghost servers. Ghost servers are servers that are deployed in cabinets and powered on but are sitting idle without performing any useful function.
Stable network connections are your business’s lifeline. Vital elements of your modern workplace—such as hybrid working, SaaS application usage, and online collaboration—depend on good network performance, contributing to employee productivity and satisfaction. But when network problems started to escalate for one of our customers, they realized they needed to look beyond their traditional network performance monitoring tools to solve the issue.
When IT budgets are tight—and they almost always are—pressure comes down to cut costs, streamline technology stacks, and overall do more with less. And when a recession hits, you’re going to see your budget get slashed—unless you can transform your IT department from a cost center to a strategic partner in recession planning and cost efficiency.
Written by Liz Fong-Jones and Phillip Carter. OpenTelemetry, also known as OTel, is a CNCF open standard that enables distributed tracing and metrics collection from your applications. At Honeycomb, we believe that OpenTelemetry is the best way to ingest the high-cardinality and high-dimensional data that every system, no matter how complex or distributed, needs for observability.