The transition to distributed applications is in full swing, driven mainly by our need to be “always-on” as consumers and fast-paced businesses. That need is driving deployments to have more complex requirements along with the ability to be globally diverse and rapidly innovate.
You get one shot to keep shoppers on your ecommerce website with relevant search results. According to Harris Poll, 76% of online shoppers abandon a retail website after an unsuccessful search. Therefore, it’s critical to optimize your search experience so buyers can find what they need fast. That’s the theory behind a modern search experience: Nowadays it’s not enough to simply provide a search bar that returns matching products.
The drive for faster, more scalable services is on the rise. Our day-to-day lives depend on apps, from a food delivery app to have your favorite meal delivered, to your banking app to manage your accounts, to even apps to schedule doctor’s appointments. These apps need to be able to grow from not only a features standpoint but also in terms of user capacity. The scale and need for global reach drives increasing complexity for these high-demand cloud applications.
In this post, I want to scratch at the surface of a very interesting technology that Elastic’s Universal Profiler and Security solution both use called eBPF and explain why it is a critically important technology for modern observability. I’ll talk a little bit about how it works and how it can be used to create powerful monitoring solutions — and dream up ways eBPF could be used in the future for observability use cases.
An avid bird-watcher once told me that for bird-watching beginners, it’s more important to focus on learning about the birds and identifying their unique songs rather than trying to find the perfect pair of binoculars.
This year, global ecommerce transactions are expected to grow by over 12% during the 2022 holiday season. As the industry continues to rely more on ecommerce, retailers are looking at new ways to improve customer experience and provide a safe and secure shopping journey. In an increasingly competitive space, many retailers are leveraging their data assets to accomplish more, spark innovation, create more personalized experiences, and drive higher conversion rates.
As an operations engineer (SRE, IT manager, DevOps), you’re always struggling with how to manage technology and data sprawl. Kubernetes is becoming increasingly pervasive and a majority of these deployments will be in Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), or Azure Kubernetes Service (AKS). Some of you may be on a single cloud while others will have the added burden of managing clusters on multiple Kubernetes cloud services.
A few months back, we introduced the beta release of Elastic APM.NET agent profiler auto-instrumentation. Fast forward to today, we're excited to announce the general availability (GA) of this powerful capability that allows the.NET APM agent to automatically instrument.NET Framework, .NET Core, and.NET applications without requiring code changes or recompilation.
The latest release of Elastic Enterprise Search introduces a suite of new features and capabilities for building world-class search experiences for your mission-critical applications, websites, online stores, or anything in-between: With this release, building search experiences for your ecommerce retail site, enhancing your employees’ ability to access relevant HR documentation, or building a custom application to quickly draw analytic insights can draw on the power of using the trained model of
