Operations | Monitoring | ITSM | DevOps | Cloud

As your organization scales its applications across many different cloud and SaaS providers, it becomes more challenging to understand your costs. You likely receive your bill at the end of the month, meaning you don’t have real-time visibility into who’s spending what and which services or applications your teams are spending the most on. Changing service costs also makes it difficult to break down your costs and identify what is driving spend, leaving you unable to take action.

One Ruby feature that embodies the principle of “optimizing for programmer happiness” is how the language uses garbage collection (GC) to automatically manage application memory. But as Ruby apps grow, GC itself can become a big consumer of system resources, and this can lead to high CPU usage and performance issues such as increased latency or reduced throughput.

With the increased adoption of the Industrial Internet of Things (IIoT), connected devices and sensors generate vast amounts of data, and you’ll need an effective way to capture, store, and visualize all of it. With effective data visualization and analysis, you can transform raw data into actionable insights and make informed decisions. This post will break down tools like Grafana, Node-RED, and time series databases, including their benefits to your IIoT workload.

In the original post in this series, we discussed the benefits of adopting Workspaces within your Cribl Cloud organization to create isolated Cribl instances for your clients. This time around, we’re going to look at how Cribl Edge can smooth the edges of your security operations. Sorry, I had to say it. I’ll see myself out.

Amazon Web Services (AWS) is a great platform for DevOps and FinOps teams for several reasons. It provides a wide range of services, supports extensive automation, and includes strong collaboration tools. Despite this, AWS can be a complex ecosystem that makes cloud management challenging. The good news is that AWS also offers a suite of tools to help you apply DevOps best practices and cloud cost optimization.

Ensuring your applications are reliable and performant is more critical now than ever. This need has driven the rise of observability practices, where developers and operations teams closely monitor their applications’ health, performance, and behavior. This is where OpenTelemetry (OTel) comes into play.

Log analysis tools are essential for organizations of all sizes. This guide provides an in-depth analysis of the top 10 log analysis tools in 2024. It compares their features, pricing models, and integration capabilities to assist you in making an informed decision based on your specific requirements.

This guide explains the key aspects of the OpenTelemetry Collector, including its features, use cases, and practical tips for managing telemetry data effectively.

In today’s fast-paced, digitally-driven business world, cloud computing has become the foundation of scalable and flexible IT infrastructure. As organizations transition to the cloud to gain agility, scalability, and cost savings, it becomes crucial to monitor cloud environments rigorously. This ensures performance, security, and reliability. That’s why having a good cloud monitoring system, like Icinga, is critical for cloud operations.

If you work in IT or have any experience with Service Management, you've probably come across terms like Service Level Objective (SLO), Service Level Agreement (SLA), and Service Level Indicator (SLI). But what do they actually mean, and why do they matter? Understanding the role of a Service Level Objective can help ensure your IT services meet expectations—and it might just be the key to keeping your customers satisfied. Curious to find out more?