Big Data Cloud Efficiency Training 
Dynatrace
JULY 6, 2022
Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. AI that is based on machine learning needs to be trained.
The Morning Paper
MAY 14, 2019
Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.
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Testsigma
MAY 14, 2021
Cloud-based testing has become quite integral these days. Most businesses have already done the shift towards cloud-based testing. With cloud-based testing, everything resides on the cloud and therefore the testing approach also changes where all testing related activities are done on the cloud and IT is delivered as a service.
ACM Sigarch
MAY 31, 2023
Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Jason Lowe-Power (UC Davis) discussed smart memory management and the need for an efficient interface for it.
Scalegrid
MAY 13, 2020
When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.
Testsigma
MAY 26, 2021
Scenarios 1 and 2 are the ones used for end-to-end test automation mostly, and it is advisable to use an end-to-end test automation tool that supports data-driven testing. An example of such a tool is Testsigma , a cloud-based tool that simplifies your test case creation along with your data-driven testing. Sign up Now.
Dynatrace
OCTOBER 17, 2022
Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. It works without having to identify training data, then training and honing. AIOps use cases.
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