Simply defined, multicloud (or multi-cloud) describes a computing environment that relies on multiple SaaS or cloud services for different workloads within a single architecture. In a multicloud approach, organizations may use public cloud providers such as Amazon Web Services (AWS) for infrastructure, Microsoft Azure for platform, and Google Cloud Platform for development.

The Internet of Medical Things (IoMT), a subset of Internet of Things (IoT) technologies, comprises inter-networked devices and applications used in medical and healthcare information technology applications. IoMT devices connect patients, doctors and medical devices — including hospital equipment, diagnostic gear, and wearable technology — by transmitting information over a secure network.

When all your IT systems, your apps and software, and your people are spread out, you need a way to see what’s happening in all these minute and separate interactions. That’s exactly what distributed tracing does. Distributed tracing is a way to tracking requests in applications and how those requests move from users and frontend devices through to backend services and databases.

We’re happy to announce that with the upcoming release of Splunk App for Data Science and Deep Learning (DSDL) 5.1.1 we’re significantly overhauling the build process for containers in DSDL. More and more customers are adopting DSDL for some of their most complex and advanced workloads. In this newest release, we’re making the process of deploying, building and maintaining containers for DSDL more modular, more secure, more robust, and more scalable as well as adding some new features!

Simply put, GitOps applies DevOps practices like version control and CI/CD to infrastructure management. The name GitOps, coined by Weavewerks, is from Git, an open-source version control system that allows teams to manage infrastructure using the same tools and orchestration processes they use for software development.

What are microservices? Microservices are a software approach that creates applications as a loose coupling of specific services or functions, rather than as a single, “monolithic” program. A microservice architecture increases the speed and reliability with which large, complex applications are delivered. What makes a service a microservice? Microservices are defined not by how they’re coded, but by how they fit into a broader system or solution.

Maybe as a kid, you pretended to have a magic wand. You would say something like, “Show me the answer to this long division question” then wave your magic wand and wait for the answer. Sadly, mine never seemed to work – for math questions or to make magical snacks appear. Now, imagine if you had a magic wand for your application stack where you could ask it a question about your data and it would give you immediate insights.

Observability first emerged as a focal point of interest in the DevOps community in the 2017 time frame. Aware that business was demanding highly adaptable digital environments, DevOps professionals realised that high adaptability required a new approach to IT architecture. Whereas historically, digital stacks were monolithic or, at best, coarsely grained, the new stacks would have to be highly modular, dynamic, ephemeral at the component level, and spread over multiple cloud-based services.

With the rapid adoption of cloud, distributed systems and microservices are standard, resulting in increasingly complex environments. Once straightforward troubleshooting workflows have become chaotic, frustrating, and time-consuming. When something breaks, multiple teams are called to the table to prove they’re “not it”; each with their singular view of the problem.

What do the gauges on your car, the jumbotron at a stadium, and Splunk Observability Cloud all have in common? They all show you the important information to know how something is performing. We all know what to look for in the first two examples.