Our developer’s guide breaks down Prometheus Query Language in an easy-to-understand way, helping you monitor and analyze your metrics like a pro.

We cover everything from initial setup to practical tips for monitoring and improving your fasthttp applications. Follow along to enhance your observability and get a clearer view of your app’s performance.

Once upon a time, we thought “Log everything” was the way to go to ensure we have all the data we needed to identify, troubleshoot, and debug issues. But we soon had new problems: cost, noisiness, and time spent sifting through all that log data. Enter log analysis tools to help refine volumes of log data and differentiate signal from the noise to reduce mental toil to process. Log beast tamed, for now….

Ensuring all operations are normal and all data is guarded in the firm’s IT structure is vital. Regularly checking out various aspects that indicate the performance of the database makes it easier for management to identify issues that may have gone out of hand through database monitoring.

Optimal productivity requires an employee's ability to accomplish their tasks and processes in as efficient a manner as possible, with a minimum of “digital friction”. To minimize employee digital friction, you must understand the complete employee experience situation - where the opportunities are for improvement, how to identify and replicate best-practices, and where to focus for optimal impact.

Imagine living in a world without caller ID, which is easy if you grew up in the “late 1900s.” Every time someone called, you had a conversation that followed this pattern: Hi! Who’s this? It’s Jeff! Hi Jeff! How’s it going? Today, most people already know who’s calling when they answer the phone because caller ID is built into smartphones and communications apps. As a developer, your Python logging is your application’s caller ID.

In 2021, Vodafone launched a strategy to improve its sales through landing page A/B testing. Both pages looked and functioned identically, but one was optimized for page speed. The optimized page, which had a 31% better Largest Contentful Paint (LCP) than the other, scored 8% higher in sales. These results echoed findings by Propellernet the previous year. They discovered that mobile sites with faster-than-average total load times were 34% more likely to convert.

Cost management in Google Cloud Platform (GCP) can be complex. It’s a lot like costs in Azure or AWS. Often, companies don’t know where to begin when they receive 20-page invoices. GCP billing tools can be unfamiliar, especially to users from a different cloud provider. However, the platform continues to simplify its cost monitoring and billing tools.

Unified endpoint management (UEM) is software that monitors, manages, and secures desktop computers, laptops, and mobile devices in a single pane of glass. It is a comprehensive approach to the modern workforce, integrating mobile device management (MDM) and enterprise mobility management (EMM) in a centralized dashboard. The most obvious benefits are operational efficiency and improved data governance.

As applications grow in complexity, the ability to gather, process, and analyze logs becomes crucial for maintaining system health and troubleshooting issues. Two popular open-source log collectors have emerged as frontrunners in this space: FluentD and FluentBit. But how do you choose between them? This article dives deep into the FluentD vs FluentBit debate, exploring their features, performance, and use cases to help you make an informed decision.