Syslog is a foundational part of logging in Linux and Unix-based systems, helping engineers efficiently capture and analyze system events. Among its core components, syslog levels play a crucial role in categorizing logs based on their severity. Understanding these levels can significantly improve troubleshooting, monitoring, and alerting strategies.

PromQL (Prometheus Query Language) is a powerful and flexible query language used to retrieve and manipulate time-series data stored in Prometheus. One of its lesser explored but immensely valuable features is its ability to handle facets, a concept that can simplify complex metrics analysis and enhance observability. In this blog, we will dive deep into PromQL facets, exploring what they are, why they matter, and how you can use them to gain better insights into your systems.

Managing websites, handling development tasks, and ensuring data accuracy can often feel like juggling multiple responsibilities at once. What if there was a way to bring all these tasks under one roof? With the launch of our all-in-one toolset, you no longer need to rely on fragmented solutions. Designed for professionals who value simplicity and efficiency, Toolset offers everything you need to enhance productivity—all with a single sign-in.

Organizations and homelabbers are always on the look out for improving efficiency. Remember back in 2023, when Mark Zuckerberg pivoted all decisions in support of Meta's Year of Efficiency? When you are working with IT infrastructure, efficiency must be a primary factor in all your decisions. This is where the command line interface (CLI) comes in.

Even though IT infrastructure is more sophisticated than ever, the basics still remain the same—and one such basic concept is booting. Although it may seem straightforward, understanding booting is vital for anyone involved in server monitoring, management, and maintenance. In this blog, you'll learn the types of booting, their importance, and how booting can be used to help you manage and optimize your IT infrastructure. What is booting?

We recently worked on an RFP for a customer whose primary driver was compliance with the new Digital Operational Resilience Act (DORA) regulations. The project aimed to make financial services more reliable and secure, protecting both consumers and the technology provider. Helping with this RFP was a rewarding learning experience due to this effort’s high priority and the key challenges faced by this organization.

Discover how you can use Megaport to access Amazon Bedrock via AWS Direct Connect for secure AI connections. Based on our recent conversations with networking teams and AWS users, 2025 is the year for implementing AI rather than just talking about it. But for many organizations starting their generative AI journey, a major concern is keeping data secure and private when it’s used for model tuning. This is just what Amazon Bedrock was made for.

It’s often said that Heroku is ideal for developers who prioritize rapid and straightforward application deployment. Meanwhile, AWS is seen as the ideal choice for applications requiring advanced scalability and intensive performance. Yet, as both platforms have evolved, their offerings have expanded, and some overlaps have emerged, making it more challenging to distinguish their strengths and limitations.

We’re excited to introduce Message Templates, a powerful new feature designed to streamline communication and ensure consistency across teams. With pre-configured templates curated by Enterprise Administrators, OnPage phone app users can now send standardized messages with just a few taps—saving valuable time and reducing the risk of miscommunication in critical situations.

In today's digital landscape, security and observability teams face an unprecedented challenge: managing massive volumes of data while maintaining both performance and cost-effectiveness. As organizations generate more data than ever before, the traditional approach of storing everything in high-performance, expensive systems is becoming unsustainable. How will your team evolve how it manages and uses telemetry data across the enterprise?

Today’s distributed, cloud-native systems generate logs at a high rate, making it increasingly difficult to derive actionable insights. AI and Generative AI (GenAI) technologies—particularly large language models (LLMs)— are transforming log management tools by enabling teams to sift through this data, identify anomalies, and deliver real-time, context-rich intelligence to streamline troubleshooting.

We built FireHydrant to be the kind of platform we’d want to use as developers, giving you the same tools and flexibility we rely on every day. With over 350 publicly accessible API endpoints, we’ve always believed in giving developers the power to customize and extend our platform to meet their exact needs.