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EasyTrade Analytics is a hypothetical stockbroker app developed by two members of the Platform enablement team, Sinisa Zubic and Edu Campver. Figure 4: Insights into our HOT session My takeaways from the HOT class After completing the exercise, we encouraged our attendees to share what they would like to create using Dynatrace Apps.
Attendees will have the same great Dynatrace experts teaching the sessions live via webcam (and we’d highly encourage you to turn on your webcam as well), the same virtual classroom to join and complete the hands-on exercises, and the same great content.
With greater visibility into systems’ states and a single source of analytical truth, teams can collaborate more efficiently. With better data intelligence across the software development lifecycle, individuals in every role can exercise more autonomy and experience greater job satisfaction.
Hosted and moderated by Amazon, AWS GameDay is a hands-on, collaborative, gamified learning exercise for applying AWS services and cloud skills to real-world scenarios. AWS Certified Data Analytics – Specialty: Highly knowledgeable data analytics pros who have already worked with AWS for some time should consider getting this certification.
From performance reviews to goal setting, AI’s analytical prowess significantly streamlines growth and development processes. These are crucial exercises for maintaining a people-first organization powered by healthy and satisfied employees who are aligned with the organization’s vision, values, and overarching business objectives.
Today, security teams often employ SIEMs for log analytics. PoCs are incredibly powerful as an exercise we do WITH our customers, rather than TO them. Dynatrace has unparalleled capabilities to map, baseline and detect anomalous behavior in an application.
Once the issue is resolved, the full chat transcript from this channel will also be automatically added to the service desk ticket, giving you even more detail for your post-mortem exercise. And if this is not enough: xMatters’ user-level analytics show which team members broke their personal record for mean time to respond.
This opens up new analytics use case to e.g: We can also save that view on our service which makes it more convenient for future analysis exercises. The multidimensional analysis view allows us to analyze all sorts of advanced metrics such as “number of database calls”, “number of backend service calls”, “time spent on CPU”.
This may result in unnecessary troubleshooting exercises and finger-pointing, not to mention wasted time and money. Because Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for biz, ops, app and dev teams, they can go faster and deliver consistently better results with less friction.
All you need is access to a statistically significant amount of your RUM data, plus whatever analytics tool you use for tracking business or user engagement metrics. Fortunately, the process for identifying the low end of your site’s performance threshold is fairly straightforward.
Configuring kernel execution is not a trivial exercise and requires GPU device specific knowledge. Driving down the cost of Big-Data analytics. There are a number of techniques that every programmer has grown up with, such as branching, that are not available, or should be avoided on GPUs if one wants to truly exploit its power.
Its support for advanced data structures (for example, lists, sets, and sorted sets) also enables a variety of in-memory use cases such as leaderboards, in-memory analytics, messaging, and more. Redis's microsecond latency has made it a de facto choice for caching.
This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.
This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.
Get together once a year for a value stream mapping exercise, and you’ll emerge with a list of potential improvement hypotheses. . That’s virtually impossible without real-time systems data and analytics. . The False Developer Quality Equivalency . Finding a product value stream’s bottleneck sounds easy—in theory.
Get together once a year for a value stream mapping exercise, and you’ll emerge with a list of potential improvement hypotheses. . That’s virtually impossible without real-time systems data and analytics. .
All you need is access to a statistically significant amount of your RUM data, plus whatever analytics tool you use for tracking business or user engagement metrics. Fortunately, the process for identifying the low end of your site’s performance threshold is fairly straightforward.
Check out our example exercise that follows his methodology using the free tool WebPageTest. (Of Using your website’s web analytics software, you can view the various network connections and identify the slowest popular networks for your audience. Step-by-Step Creation of a Performance Budget. TIME TO INTERACTIVE. VISUALLY COMPLETE.
Historically, I’d maybe look at Google Analytics—or a RUM solution if the client had one already—but this is only useful for showing me particular outliers, and not necessarily any patterns across the whole project. Of course, it’s a little more complex than that, but for this exercise it’s an incredibly reliable proxy. See entry 6.
I recall a question I posed to Nicole Bryan (now Tasktop’s Chief Product Officer) in those early days: If Tasktop provides the information highway for data to flow faster between collaborators, why don’t we also provide metrics and analytics on the speed and efficiency of their work? Her answer: It’s coming. . And it has.
Markham is an engineer, and you can tell in his detailed and analytical approach to topics like soil composition, as well as his prescriptive advice for bed sizes and square footage estimates. I didn’t always make the same leap with her, but the thought exercise was fun nonetheless.
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