Operations | Monitoring | ITSM | DevOps | Cloud

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.

Even before the push to the cloud, your company was a Microsoft shop. From workstations to servers, you’ve invested heavily in the Microsoft ecosystem because it gave your business all the technologies necessary for success. As part of your organization’s digital transformation strategy, Azure offered the easiest onboarding experience.

Datadog is a monitoring and analytics tool for information technology (IT) and DevOps teams that can be used to determine performance metrics as well as event monitoring for infrastructure and cloud services. The software can monitor services such as servers, databases, tools, and applications. Cribl Stream makes it easy to move data from anywhere, to anywhere. We take the saying to heart, and we also allow you to send our Cribl application metrics anywhere.

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!

When things go wrong, we’d all love the ability to go back in time, return things to the way they were, and fix whatever issues pop up at the start so they never happen in the first place. This is no different when maintaining complex microservices-based architectures. With any complex system, things are bound to go wrong from time to time.

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.