Operations | Monitoring | ITSM | DevOps | Cloud

Moving to the cloud is hard. Moving to the cloud and keeping systems secure, data governed, compliances met, and cyberattacks at bay, makes everyone’s jobs significantly harder. The number one concern we hear from Cribl customers about the cloud is, you guessed it — security. If you’re in this boat — eager to adopt the cloud ASAP but also worried about the risks that come with having sensitive data in the cloud — don’t fret. We’re here to help.

Elastic Observability provides a full-stack observability solution, by supporting metrics, traces, and logs for applications and infrastructure. In a previous blog, I showed you how to monitor your AWS infrastructure running a three-tier application. Specifically we reviewed metrics ingest and analysis on Elastic Observability for EC2, VPC, ELB, and RDS.

Not long ago, we announced the launch of Honeycomb’s Service Map, a new feature that gives users the ability to get an overall, filterable view of their system and how everything is connected, along with some exciting new enhancements to BubbleUp. What’s the story behind these changes? They make it even easier for developers to zero-in on issues, even when they are hidden in billions of lines of code.

Baking a delicious pizza in a wood-fired oven requires a combination of skill, experience and the right tools. The same is true for achieving optimal observability in a Kubernetes environment. In this post, we'll explore some of the lessons learned from baking pizza in a wood-fired oven and apply them to the world of Kubernetes observability.

Observability, monitoring, and telemetry are crucial for maintaining the performance and reliability of modern systems. Their concepts are often used interchangeably, but they have distinct differences that are important to understand. In this blog, we’ll explore each concept in detail, including key characteristics and examples of tools. We’ll also compare observability vs monitoring vs telemetry and discuss when it’s appropriate to use each.

If you were asked to evaluate how good crews were at fighting forest fires, what metric would you use? Would you consider it a regression on your firefighters’ part if you had more fires this year than the last? Would the size and impact of a forest fire be a measure of their success? Would you look for the cause—such as a person lighting it, an environmental factor, etc—and act on it? Chances are that yes, that’s what you’d do.

Observability has become increasingly important for IT professionals as the complexity of modern systems has grown. In the past, IT environments were typically composed of a few servers and applications that were all running on-site. However, with the rise of cloud computing, IT has become more distributed, with applications and services running on a wide variety of infrastructure and platforms.