At Logz.io we obsess over our customers and believe that our customers’ happiness is fundamental to our success as a company. With a growing number of customers all over the world, it’s important to us that we provide them with the best experience we possibly can. After all, we know we’re handling extremely important data and helping to keep mission-critical applications up and running.
Success in business hinges on making the right decisions at the right time. You can only make smart decisions, however, if you also have the insights you need at the right time. When the right time is right now, outlier detection can help you chart a better course for your company as storms approach – or as the currents of business shift in your favor. In either case, quick detection and analysis can enable you to adjust your course in time to generate more revenue or avoid losses.
5G is here and is widely expected to be a transformative communications technology for the next decade. This new data network will enable never-before-seen data transfer speeds and high-performance remote computing capabilities. Such vast, fast networks will need dedicated tools and practices to be managed, including AI and machine learning processes that will ensure efficient management of network resources and flexibility to meet user demands.
Recycling is an important part of my family’s weekly chore patterns. Our Amazon deliveries alone generate copious amounts of cardboard for our weekly pickup in the giant blue can. I also find myself trying to think about the longevity of the stuff I buy and try not to be wasteful. I feel a sense of pride. But there is one area where I just don’t think recycling makes sense -- and that’s with software (that’s in addition to underwear and toothbrushes, of course…).
Logging is an essential part of application development, monitoring, and debugging. There are countless libraries, frameworks, and services for logging backend and server-based applications. But for client-side applications, especially JavaScript-based web applications, it’s a different story. As we see increasingly complex code running on end user devices, the need to log these applications is also becoming increasingly important.
Retention is a crucial factor in adopting a log management solution. For most organizations, 30 days is a perfect balance between having to access historical log data and the high cost of storage. However, some organizations need to retain logs for a much longer period of time, whether it’s to comply with regulations, perform frequent audits, or monitor changes to operations over time.
The global predictive maintenance market is expected to grow to $6.3 billion by 2022, according to a report by Market Research Future. However, a new paradigm is required for analyzing real-time IoT data. Predictive maintenance, which is the ability to use data-driven analytics to optimize capital equipment upkeep, is already used or will be used by 83 percent of manufacturing companies in the next two years.
