A thin client is a simplified device that relies on a separate server (usually located remotely or in the cloud) to run programs and complete user tasks. It connects to the server through a remote network connection with very little computing happening on an individual user’s device. Because most of the computation occurs and data is stored on the server, thin clients are regarded as a secure efficient option.
That’s great news—your business is growing, and opportunities abound. It also means you will have to align the acquired company’s IT infrastructure with your own. What this looks like will vary depending on the specifics of any given merger. In some cases, where the acquired entity will continue to operate independently, you may simply look for opportunities to optimize and create economies of scale.
Many organizations manage a hybrid infrastructure spread over on-premise and multiple public cloud platforms such as AWS, Azure and Google for specific business applications. The hybrid cloud approach has advantages but adds more complexity for IT teams responsible for keeping IT systems safe and secure. The monitoring tools system administrators use for on-premise infrastructure are often unsuitable for monitoring public cloud platforms.
Elastic APM supports OpenTelemetry on multiple levels. One easy-to understand scenario, which we previously blogged about, is the direct OpenTelemetry Protocol (OTLP) support in APM Server. This means that you can connect any OpenTelemetry agent to an Elastic APM Server and the APM Server will happily take that data, ingest it into Elasticsearch®, and you can view that OpenTelemetry data in the APM app in Kibana®.
There are many benefits of incorporating CI/CD into your ML pipeline, such as automating the deployment of ML models to production at scale. The focus of this article is to illustrate how to integrate AWS SageMaker model training and deployment into CircleCI CI/CD pipelines. The structure of this project is a monorepo containing multiple models. The monorepo approach has advantages over the polyrepo approach, including simplified dependency versioning and security vulnerability management.
Longtime ScienceLogician Tim May joins the podcast for an entertaining discussion surrounding the number of different roles he's held within the organization in his 17 years with ScienceLogic, and a glimpse into his admiration of Star Wars! https://sciencelogic.com/product/resources/protecting-your-data-from-the-dark-side
