Customers have spoken, and we’re feeling the love. Splunk has just been honored with no fewer than five “Best Software” Awards from TrustRadius! Based exclusively on customer reviews, Splunk Enterprise Security (ES) took home the top spot in three categories: Best Software for Enterprise, Best Software for Mid-Sized Businesses, and Best Software for Small Businesses.
Everyone’s talking about Platform Engineering these days. Even Gartner recently featured it in its Hype Cycle for Software Engineering 2022. But what is Platform Engineering really about? Is it the next stage in the evolution of DevOps? Is it just a fancy rebrand for DevOps or SRE? As a veteran of the PaaS (Platform as a Service) discipline about a decade ago, and a DevOps enthusiast at present, I decided to delve into this topic, peel off the hype, and see what it’s about in practice.
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.
When I speak with customers, especially chief information security officers (CISOs), one of their most consistent requests is that they want interoperability. They want the software they buy to work with the software they have and plan to buy in the future. Nearly every organization, certainly every enterprise company, has an installed base of hardware and software representing a significant investment in time and money.
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I like to leverage our technologies to ensure our products have a pleasant user experience. Elastic Synthetics enables you to configure it in an out-of-the-box experience directly through your Elastic Cloud deployment without the need to install anything! It also works across the globe with multiple locations you can choose from. Ever wondered how fast your web service is when accessed from Japan, Germany, or the eastern U.S.? Now you can do this by simply clicking on a checkbox.
If you’re unfamiliar with observability, you might think an “observability engineer” is just a fancy way to say data admin — but while observability engineers often work with data admins, they work toward different goals. Data admins monitor information to identify and fix known security issues. Observability engineers work to provide a complete picture of all the data a company aggregates and what it means for a business.
When you first hear “Robotic Process Automation” (RPA) you might immediately think of a manufacturing line with a series of physical robots each doing their part to build something. RPA is SO much more than that! The “bot” in this sense is an AI powered piece of software that can interface with any system you run today just as a human would.
Virtually every business utilizes some form of data collection, no matter how big or small. While large-scale enterprises have more established methods for collecting, storing and analyzing data, smaller companies and start-ups are also beginning to understand the value of data collection and analysis in order to: This is especially true in the age of Big Data and democratized data — where we have more data-driven insights available to us than ever.
Hopefully by now you’re taken your first sip of Elastic RUM, or real user monitoring, and see the power of searching through traces and the User Experience metrics to gain insights into how users actually use and experience your application. One issue you may have experienced is the challenge of finding the source of errors for minified JavaScript files.
