Distributed computing News
April 07, 2017
The dream of distributed computing has clearly become a reality for many -- a reality that has forced development teams to think hard about how they manage their resources.
March 23, 2017
Vault is intriguing to enterprises, but adoption can be a slow process in large, complex environments with legacy security tools.
March 10, 2017
As IoT workloads proliferate in the enterprise, more organizations will process data closer to the network edge. But that doesn't mean cloud computing is near its end.
July 07, 2016
This is a guest post for the Computer Weekly Developer Network written by Patrick McFadin in his role as chief evangelist for Apache Cassandra at 'commercial Cassandra' company DataStax.
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App performance management is more essential and more complex than ever; the right application performance management tools make all the different. Continue Reading
Bringing compute to the edge helps quickly and economically predict impending failures, threats or manufacturing problems and improve business efficiency. Continue Reading
If IoT applications can help you grow your business, start developing distributed computing systems expertise in your business now. Continue Reading
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Transparent checkpointing can help developers, but challenges crop up with security and storage. A computer science professor explains some of the caveats involved. Continue Reading
As hyper-converged infrastructure continues to gain momentum, vendors have raced to build their own platforms, sometimes at the cost of quality. Continue Reading
There are benefits to distributing experiences across mobile apps, but it also puts data at risk. Find out how mobile and Internet of Things devices put a wrinkle in distributed application security. Continue Reading
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Distributed computing has changed the face of networking; application performance tools help IT make sense of performance problems when issues crop up. Continue Reading
Apache Mesos has become popular with major enterprises for its ability to scale linearly, reduce wasteful resource consumption and abstract storage, CPU and memory. Continue Reading
Experts discuss such considerations as HANA deployment options and technical differences and offer other tips and best practices for a successful HANA big data project. Continue Reading
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