Operations | Monitoring | ITSM | DevOps | Cloud

Mobile device management (MDM) is software that enables organizations to support, automate, control, and secure mobile devices that are connected to the workplace and that have access to organizational data. MDM software is needed for each type of operating system because they all function a little differently from one another. Android MDM is software designed specifically for mobile devices that run the Android operating system (OS).

The retail industry is going through a period of major upheaval. AI is transforming the landscape at a rapid pace. Grand View Research evaluated the market value at USD 5.79 billion in 2021 and this is expected to grow at a 23.9% compound annual growth rate (CAGR) from 2022 to 2030. For retailers, this translates into a need to adapt to an entirely new paradigm of customer expectations.

When it comes to keeping your business’s lights on, you need to manage and orchestrate your operational activities, prioritize high-impact and urgent work, and maintain day-to-day precision. Trust is paramount during mission-critical, time-sensitive crisis response and the narrow margin for error means there is little room and low acceptance for generative AI hallucinations or false positives.

In a previous blog post, we built a small Python application that queries Elasticsearch using a mix of vector search and BM25 to help find the most relevant results in a proprietary data set. The top hit is then passed to OpenAI, which answers the question for us. In this blog, we will instrument a Python application that uses OpenAI and analyze its performance, as well as the cost to run the application.

Technology juggernauts–despite their larger staffs and budgets–still face the “cognitive load” for DevOps that many organizations deal with day-to-day. That’s what led Spotify to build Backstage, which supports DevOps and platform engineering practices for the creation of developer portals.

As you know, having reliable checks is a cornerstone of synthetic monitoring. We don’t want false alarms, or worse, checks succeeding when things aren’t working. But sometimes, problems can be hard to identify because they only happen intermittently, or in certain situations. Similarly, monitoring results can be skewed by infrastructure issues, or network errors on the monitoring provider end, causing false alarms when there is actually no problem with the product.