This article compares OpenTelemetry and traditional APM tools with their strengths, weaknesses, and ideal use cases to help you choose the right solution for your application performance monitoring needs.

The Amazon Elastic Block Store (EBS) service should provide high-performance block storage for Amazon EC2 instances. Yet, without careful management, Amazon EBS can become inefficient, leading to performance bottlenecks and cost overruns. For example, EBS volumes persist even after an EC2 instance has been terminated. The unused EBS volumes continue to incur costs.

One of our most commonly asked questions is when we will support Worker Groups in Azure. We’ve heard you loud and clear; some exciting news will make your data management much more straightforward. We’re introducing a Cribl-managed Cribl Stream data plane, also known as Worker Groups, in Microsoft Azure. These Worker Groups are oil to your engine—essential for data operations, handling everything from shaping and transforming to enriching and processing your data.

Cribl Search empowers users to explore and analyze data directly at its source. However, finding sample data for testing these queries can be time-consuming. To overcome this, Cribl Search provides $vt_dummy, a built-in virtual table designed to generate dummy events on demand.

About every two months, the Grafana k6 team releases a new version of the open source load testing tool to deliver new features and further enhance the user experience. In case you missed them, here’s a recap of recent k6 releases and some of the exciting updates they brought to our user base. Many of the features highlighted in this post relate to new web APIs that the community has been asking for, and that are widely used by JavaScript developers.

In today's digital era — where data grows exponentially and becomes increasingly complex — the ability to efficiently search and analyze this vast ocean of information has never been more important. But it's also never been more challenging. It's like trying to find a needle in a haystack but with the added challenge of the needle constantly changing its form. This is where vector search emerges as a game-changer, changing how we interact with large data sets.

End-to-end monitoring refers to the comprehensive assessment of the whole IT environment to understand the overall state of the IT infrastructure and how it impacts user experience. Traditional monitoring techniques have differed from end-to-end monitoring in that they view the IT environment from a more holistic and user-centric perspective than other traditional ways of monitoring.

Lost revenue, project delays, customer frustration, damaged reputation… The immediate consequences of system downtime are profound. However, the human impact of technical disruption can have just as crippling an impact on business outcomes. As IT teams worldwide work around the clock in the wake of outages like the recent CrowdStrike event, we take a closer look at the hidden toll of downtime and how IT leaders can work to mitigate its most harmful effects.

Setting clear, measurable goals is essential for any successful team. However, aligning those goals with the technical work can be challenging in the fast-paced world of software engineering. Engineers might focus on reducing latency or improving uptime, while business leaders look at revenue and customer satisfaction. It gets tricky to track the impact between the two to justify when specific engineering initiatives are important, why, and how they impact the bottom line.

This blog will be the second in a three-part blog series where we explore the benefits of the GitOps practice, how to get the most from GitOps, and how to measure and maintain success. Here is what you can expect from the series: We’ll dive into the practice of GitOps in this blog, defining and understanding what an efficient workflow can produce. Here you’ll put the principles of GitOps into practice, exploring how infrastructure as code (IaC) can help you get more done with fewer resources.