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Causal AI use cases for modern observability that can transform any business

Dynatrace

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Healthcare. Software development. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

If you’re evaluating container orchestration software to manage containerized applications at scale, you may be wondering about the differences between OpenShift and Kubernetes. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

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Dutch Enterprises and The Cloud

All Things Distributed

Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 129
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Backup and Recovery for Databases: What You Should Know

Percona

Software failure: Software applications can become vulnerable, or they can crash altogether. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure. An incremental backup, which is faster and requires less storage than a full backup, captures changes made since the previous backup.

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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

Almost from day one, we knew that the software we were building would not be the software that would be running a year later. We needed to build such an architecture that we could introduce new software components without taking the service down. The importance of the network. Build evolvable systems. Automation is key.

AWS 144
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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Without enough infrastructure (physical or virtualized servers, networking, etc.),

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.