The Gradle Build Cache is designed to help you save time by reusing outputs produced by previous builds. It works by storing (locally or remotely) build outputs, and allowing builds to fetch these outputs from the cache when it determines that inputs have not changed. The build cache gives you the ability to avoid the redundant work and cost of regenerating time-consuming and expensive processes.

Maintaining business continuity when an issue arises has proven to be a challenge many organizations struggle with. A global pandemic being thrown into the mix in Q1 of 2020 (one that many businesses are still navigating through) introduced a new set of problems for both service providers and businesses reliant on those services.

Monitoring solutions can either pull monitoring information from devices by querying those devices, or the devices themselves can use code to push data using an API into the monitoring system. Both work equally as well but have separate use cases. It is not always possible to query a device remotely, which means asking the device itself to send the data out to the monitoring platform is easier. Keep reading to learn more about push metrics and when it makes the most sense to use it.

There are several metrics in use to determine incident management success. Two of them are MTTD and MTTR, which we will be discussing in this piece.

Tired of composing the same endpoint searches over and over while working on performance issues? We've got you covered with our new Saved Searches feature! It allows you to bookmark your commonly used endpoint searches by app component, so instead of having to remember an exact query, you can just save it so you don't have to sift through the endpoints list again. It's just another way we try to help our users get answers, not just a bunch of data.

In today’s business environment, consumers and organizations have a different relationship altogether. Modern consumers have become more informed, and are not driven merely by quality or low prices. Gone are the days of product-oriented advertisements that focused just on the tangible benefits of a product or where premium quality was associated with better brands.

Organizations of all sizes invest in IT monitoring and analysis tools. But just because a computer knows what’s wrong doesn’t mean it can communicate those details effectively to IT teams. There is both art and science behind communication, which is why IT teams heavily rely upon data visualization. As organizations scale, so too does the importance of data visualization. Similarly, automating data analysis becomes increasingly useful with scale.

Today’s networks have evolved a long way since their early days and have become rather complicated systems that comprise numerous different network devices, protocols, and applications. Consequently, it is practically impossible to have a complete overview of what is happening in the network or whether everything in the network works as it should. Eventually, network problems will arise.

Icinga is the perfect, powerful monitoring stack that helps you tackle your monitoring challenge. It´s open source and free to use for anybody – be it a private person, a non-profit organization or a commercial company.

Digital transformation is creating many challenges for businesses including data platform diversity, IT skills gaps, cost control (especially cloud) and a more complex technical environment that can have performance issues with many possible causes. Speed, always-on, outstanding customer experience, and cost control are the business requirements driving digital transformations and resulting in performance and risk challenges facing database operations teams. What are those challenges?