Operations | Monitoring | ITSM | DevOps | Cloud

Many companies migrate to the cloud and overlook costs in favor of innovation, speed, and flexibility. They assume that the cloud is inherently more cost-effective than on-premises infrastructure. However, the organizations soon realize that the same characteristics that make the cloud such an enticing and flexible resource can also lead to unexpectedly higher usage bills than expected. The challenge is to find the right balance between optimal system performance, engineering velocity, and cost.

In our last blog post we talked about how you can use Intel QAT with Canonical Ceph, today we’ll cover why this technology is important from a business perspective – in other words, we’re talking data storage costs. Retaining and protecting data has an inherent cost based on the underlying architecture of the system used to store it.

So, you’ve got a PostgreSQL database packed with juicy data, and you want to turn those raw numbers into slick, interactive Grafana dashboards? Good call! Grafana’s PostgreSQL datasource is like the secret handshake that lets you visualize your data in style—no extra ETL magic required. In this guide, we’ll walk through getting PostgreSQL and Grafana to play nice, covering everything from connection settings to query tuning.

Logs are crucial for understanding what's happening in your system, but they can often be hard to make sense of. Log parsing is the key to turning raw, unstructured data into something useful. In this blog, we'll explore the basics of log parsing, its importance, and how it helps you extract valuable insights from your logs without all the clutter.

Most developers are familiar with Opentelemetry core components—Traces, Metrics, and Logs. But there’s one part of the OpenTelemetry ecosystem that doesn’t always get the spotlight: processors. These behind-the-scenes operators shape your data pipeline, helping you filter, enrich, and fine-tune telemetry data before it reaches your backend systems. Processors play a key role in making sure your data is cleaner, more useful, and just the way you need it.

HAProxy 3.1 makes significant gains in performance and usability, with better capabilities for troubleshooting. In this blog post, we list all of the new features and changes. All these improvements (and more) will be incorporated into HAProxy Enterprise 3.1, releasing Spring 2025. Watch our webinar HAProxy 3.1: Feature Roundup and listen to our experts as we examine new features and updates and participate in the live Q&A.

All but one of the kosli attest commands calculate the true/false compliance value for you based on their type. For example, kosli attest snyk can read the sarif output file produced by a snyk scan. The one that doesn’t is kosli attest generic which is “type-less”. It can attest anything, but Kosli cannot calculate a true/false compliance value for you. Often the tool you are using can generate the true/false value, which is then easy to capture.

In the dynamic landscape of cloud operations, Network Operations Centers (NOCs) are crucial in ensuring service reliability and performance. However, managing the diverse workloads of NOC teams can be challenging. At MoovingON, we are dedicated to providing solutions that enhance operational efficiency and cultivate a positive work environment for our engineers. To this end, we are excited to introduce a powerful new feature in our moovingon.ai platform: Enhanced Dashboards for Workload Management.