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Update Percona Monitoring and Management Agent Settings for Already-Added Instances

Percona

Restart the PMM agent in the PMM server container: supervisorctl restart pmm-agent Conclusion So, we can see it is possible to fine-tune some hidden settings of Percona Monitoring and Management by getting into its internals, including editing some options after adding a remote MySQL instance without having to remove and re-add the instance.

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Why MySQL Could Be Slow With Large Tables

Percona

There is a cool blog post from Vadim covering big data sets in MyRocks: MyRocks Use Case: Big Dataset Query tuning: It is common to find applications that at the beginning perform very well, but as data grows the performance starts to decrease. 1 mysql mysql 592K Dec 30 02:48 tb1.ibd ibd -rw-r --. 1 mysql mysql 464K Dec 30 02:48 tb2.ibd

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Impact of Querying Table Information From information_schema

Percona

Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

Cache 99
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Liferay and Machine learning with TensorFlow!

Enprowess

Let’s look at TensorFlow – TensorFlow is an open source software library for machine learning, developed by Google and currently used in many of their projects. Note: inception5h contains trained model from google and it is test on around 2000+ images (I guess). Result won’t be 100% correct, but that’s all machine learning.

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AB Testing?—?So You Know What Really Works

Adrian Cockcroft

If you think about the scale that Netflix operates at, and the number of new customers they get every day, they can run far more and bigger tests than their smaller competitors, so they have a scale advantage that they can use to tune their product, and maintain a higher rate of innovation.

Testing 52
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bpftrace (DTrace 2.0) for Linux 2018

Brendan Gregg

eBPF was created by Alexei Starovoitov while at PLUMgrid (he's now at Facebook) as a generic in-kernel virtual machine, with software defined networks as the primary use case. Once you get into the guts of some complex software for a pressing production issue, whether you type quantize() or hist() is really the least of your problems.

C++ 110
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In-product guidance accelerates Service Level Objectives (SLO) setup for confident deployments

Dynatrace

Our customers are increasingly transitioning to agile software development, DevOps, and progressive continuous delivery to deliver business value faster. The flip side of speeding up delivery, however, is that each software release comes with the risk of impacting your goals of availability, performance, or any business KPIs.

Metrics 148