Uptrends has always focused on providing a quality product with solutions to solve real problems for businesses of all sizes. Staying laser-focused on our customers’ needs led to organic growth that has expanded at a comfortable pace over the last thirteen-plus years. However, slow, steady growth is relative to the size of the endeavor, and as our products and services grew, so did the resources needed to sustain growth. So we grew—faster than expected.
In the midst of the COVID-19 pandemic, even companies that had said no to BYOD have come to terms with it, as a fair share of remote work would not even be possible without such a policy. Pandemic or no pandemic, on-the-go data access has always enabled employees to get work done quickly and efficiently. It guarantees better communication with colleagues, improves customer service, and device familiarity brings employee satisfaction and increased productivity.
Artificial intelligence for IT operations (AIOps) means a lot of different things to a lot of different people, so a definition of what it is and what it does is difficult to nail down. In an age where digital acceleration is priority zero, companies are evaluating cultural shifts towards new operating models like service ownership to unlock efficiency in a complex world of hybrid cloud environments, AIOps emerges as an attractive potential investment to solve central IT aches and pains.
Recently, the JetBrains .NET advocacy team published a deep-dive post powered by data we retrieved from the official NuGet APIs with the goal of better understanding our community's OSS past and trying to predict trends into the future. This resulted in a giant dataset. Given our experience with Elasticsearch, we knew that the best tool to process millions of records was what we're calling the NECK stack: .NET, Elasticsearch, CSV, and Kibana.