Within any enterprise, IT operations teams use a variety of solutions to monitor their technology ecosystem. These products are often business critical and cannot easily be replaced or migrated. Ultimately, it’s important that teams can analyze and correlate data from these different tools so they can produce the insights they need to improve decision making. To help address these requirements, Broadcom offers RESTMon.
You may have previously heard about TeamViewer if you’ve ever needed to remotely access another device for the purposes of maintenance or general work activities.
Keeping applications on premises can seem so … stodgy and passé. If you believe the buzz, digital transformation, innovation, and agility are all happening in the public cloud. While there is some truth to this, the reality is more nuanced and complex.
‘Power-hungry data centers greedily devour diminishing water supply!’ – This might be my own frequency bias, but I feel like every headline today references data centers and the existential threat they pose to the environment. Perhaps it’s the sensational numbers and estimates that pull me in: So here I am, uncomfortably deep in the rabbit hole, reading about adiabatic processes and wet cooling towers (experts in the U.K.
When I started as a data engineer almost 20 years ago, I designed, developed, and implemented a worldwide sales reporting system for my employer using an enterprise data warehouse. Using analytical packages, my team drove quantifiable sales by transforming the way our company leveraged data. Even at the start of the millennium, it seemed obvious that studying analytics was a game-changer.
Stackify is a software company based in Leawood, Kansas, United States. Matt Watson, an American entrepreneur, founded it in January 2012. With a suite of tools like Prefix and Retrace, Stackify aids software developers in troubleshooting and provides support. According to Stackify, standard APM software is insufficient for managing application code.
Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and online services don’t even require a thorough knowledge of machine learning. However, even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, which has become one of the important concerns of ML applications.
