Ever since the very beginning, Honeycomb has poured a lot of heart and soul into our blog. We take pride in knowing it isn’t just your typical stream of feature updates and marketing promotions, but rather real, meaty pieces of technical depth, practical how-to guides, highly detailed retrospectives, and techno-philosophical pieces. One of my favorite things is when people who aren’t customers tell me how much they love our blog.
In the first four parts of our series on correlation analysis, we discussed the importance of this capability in root cause analysis in a number of business use cases, and then specifically in the context of promotional marketing, telco and algorithmic trading. In this blog we walk through how to leverage correlation analysis to address the challenges in ensuring a seamless online payment experience by the end-user.
After registering for Shipa Cloud or installing Shipa on your own infrastructure, you are now ready to deploy your first application. The beauty of Shipa is that in the spectrum of source code to a built image, Shipa can help you get these applications into the wild.
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.
