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Pick 3 for Your Data Management: Speed, Choice, and Flexibility

Data growth has significantly out-pacing budgets; the products we use, have to do more. This is where optimization comes into play. Generally, optimization is associated with reduction which may be intimidating…what if something important is reduced? How can you identify what should be reduced? Reduction isn’t about removing context, but about removing repetitive data, meaningless fields, or even flattening JSON.

Virtual Kubernetes Clusters - Tips and Tricks - Civo Navigate NA 2023

Explore the world of virtual Kubernetes clusters in this comprehensive session from Rich Burroughs and Carl Montanari. Dive deep into Kubernetes multi-tenancy models, understand the power of vcluster, and uncover ten essential tips and tricks to optimize your virtual cluster experience.

Optimization Without Recommendations: Automating Your Cost Optimization on Amazon EKS

Learn how Pepperdata uses machine learning to provide Continuous Intelligent Tuning automatically to your Amazon EKS applications, helping your platform team recover wasted capacity and ultimately reduce your spend for cloud resources.

Demo: How to Find, Fix and Prioritize Healthcare Device Threats

Ivanti finds, heals, and protects every device, everywhere – automatically. Whether your team is down the hall or spread around the globe, Ivanti makes it easy and secure for them to do what they do best. Ivanti is IT for the way we work now. Integrated solutions for everything IT touches. So, employees can work better, anywhere, and everywhere.

Introducing the Datadog Open Source Hub

At Datadog, we have always been deeply involved with open source software—producing it, using it, and contributing to it. Our Agent, tracers, SDKs, and libraries have been open source from the beginning, giving our customers the flexibility to extend our tools for their own needs. The transparency of our open source components also allows them to fully audit the Datadog software that is running on their systems. But our commitment to open source only starts there.

Monitoring Machine Learning

I used to think my job as a developer was done once I trained and deployed the machine learning model. Little did I know that deployment is only the first step! Making sure my tech baby is doing fine in the real world is equally important. Fortunately, this can be done with machine learning monitoring. In this article, we’ll discuss what can go wrong with our machine-learning model after deployment and how to keep it in check.

What are web checks and ping checks? Why are they important?

Keeping your websites and web-based applications running smoothly for your users is essential. External users that can’t get onto your client-facing portals will quickly turn to competitors. Internal users having difficulty with your network will become frustrated which can reduce morale and productivity. Network monitoring via web checks and ping checks could improve website uptime and make everyone’s lives a little easier.