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For businesses utilising public clouds, choosing an open source platform offers considerable advantages. Open source solutions can help reduce costs, provide access to the most leading-edge enterprise-grade features, and eliminate risks such as vendor lock-in, lack of support, or long-term security maintenance.
The beauty of Shipa is that no matter how the surrounding ecosystem changes e.g your Continuous Delivery or Infrastructure-as-Code stacks, the Shipa API stays the same. If you are curious about interacting with this mystical API, there are a lot of surrounding integrations that do that for you. Though, if you want to directly interact with the API, you can send out HTTP requests to the Shipa API itself to create any sort of integration you require.
I’m sure many of you have heard of our Machine Learning Toolkit (MLTK) app and may even have played around with it. Some of you might actually have production workloads that rely on MLTK without being aware of it, such as predictive analytics in Splunk IT Service Intelligence (ITSI) or MLTK searches in Splunk Enterprise Security.
When Rolls Royce Power Systems recently needed to improve its operational efficiency within its manufacturing plants, it didn’t expand its use of a legacy process historian or purchase historian connectors to export data to their business intelligence systems. Instead, it decided to go with a modern time series database, InfluxDB. Graphite Energy, another customer we featured in our recent IIoT announcement, also chose InfluxDB over the legacy process historian vendors. Why?
If you know anything about upholding the three pillars of observability for your business then you will know that centrally analysing and managing logs, metrics and traces is vital for improving how you observe the status of your business’s key infrastructure components.