We are happy to announce the release of item summarization - a powerful tool to help users understand and utilize the data contained within the occurrences that make up an item. Organizations and engineers often deal with many occurrences within an Item when investigating underlying causes. With such vast amounts of data, spotting patterns and insights can be incredibly challenging and time-consuming.
Monitoring the key metrics of your application’s performance are essential to keep your software applications running smoothly as one of the key elements underpinning application performance monitoring. In this article, we will cover many of the key metrics that you should strongly consider monitoring to ensure that your next software engineering project remains fully performant.
I’ve had a swimming pool at my house in Massachusetts since 2016. One of the problems that pool owners like myself face when we go on vacation or leave for several days is evaporation from the pool and the water level dropping below the skimmers. This can happen due to sunlight and warm temperatures. It can also happen when temperatures drop at night and the pool is being heated — the water temperature is warmer than the air, causing the water to evaporate.
In today’s data-driven world, the ability to collect and query data from multiple sources has become a very important consideration. With the rise of IoT, cloud computing and distributed systems, organizations face the challenge of handling diverse data streams effectively. It’s common to have multiple databases/data storage options for that data. For many large companies, the days of storing everything in the singular database are in the past.
As technology professionals, we must consider the evolution of security and its connection to literature, such as George Orwell’s “1984” and Aldous Huxley’s “Brave New World.” The digital threats we face are often unseen, lying dormant until they can be weaponized for both good and evil purposes. Advancements in machine learning and algorithms have revolutionized data analysis, allowing us to observe and analyze behavioral patterns both online and offline.