Everyone agrees that IT is under pressure to deliver fast and reliable application performance and customer experiences that exceed expectations. And, if a customer-facing app goes down, the implications can be quite drastic as we can see in the article "5-minute outage costs Google $545,000 in revenue" or "WhatsApp experiences major outage". The ramifications include lost revenue, profits, and damaged reputation – not to mention resulting shake-ups in responsible IT departments.
The customer-facing applications that we as consumers rely on every single day have grown very complex, running on an infrastructure that consists of multiple tiers and platforms across physical, virtual and hybrid cloud environments. Ensuring the optimal end-user experience for the new Web, cloud, and mobile apps add to an already overburdened IT workload. The manual processes and transactional-monitoring tools of the past can't keep up with the complexity of these new mission-critical applications. They don't give IT staff the support they need to identify and solve problems quickly, and deliver against their service level objectives.
Application Performance Management (APM) software addresses these challenges in the complex, dynamic, and interconnected application environment. However, monitoring complex applications, business transactions and ensuring exceptional end user experience 24x7, generates a big pile of data.
A well-configured APM system points to root causes and enables technical investigations, but even the best configured system may still miss critical warning signs if operators rely only on simple thresholds and baselines. Complex application environments need good, out-of-the-box analysis of all available APM Big Data to complement the special configuration of dashboards, which serve particular purposes. This is how we can crack the code on big data.
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To get a better understanding of the top issues facing IT teams in financial services, Auvik recently released its 2024 Financial Services IT Trends Report ... Not surprisingly, the experience of FinServ IT teams is significantly impacted by the onslaught of cyberattacks facing financial services organizations as well as the complex regulatory environment of this industry ...
The CrowdStrike outage serves as a potent illustration of the risks associated with complex security environments. Enterprises are increasingly advised to consider simpler, more robust solutions that do not rely heavily on reactive security measures ...
When IT leaders started telling Enterprise Management Associates (EMA™) more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution ...
The rapid rise of creative "right-brain" generative AI (GenAI) has opened the door to greater adoption of the more analytical "left-brain" AI decisioning solutions by global businesses, according to new research from Pegasystems ...
The majority of executives (61%) are harnessing the power of generative AI, with at least one application in production, and among these early adopters, 86% of those reported an increase in revenue, estimated at more than 6%, according to new global research from Google Cloud ...
Optimizing the performance of applications remains a top challenge for most organizations, particularly when those applications are spread across a hybrid IT estate that includes core, public cloud, and edge. Even if there were a magic performance wand, organizations would still need to know there was a problem and then do something about it — at Internet speed ...
According to Forrester's The Top 10 Emerging Technologies In 2024 report, generative AI (genAI) for visual content, genAI for language, TuringBots, and IoT security are the top emerging technologies that will deliver the most immediate ROI for businesses in 2024 and beyond ...
