gdcohen

11 ms·

61.
Getting anomaly detection right by structuring logs automatically(zebrium.com)
5 points by gdcohen 7y ago|0 comments
62.
CNCF Webinar: Using Machine Learning for Autonomous Log Monitoring(cncf.io)
1 points by gdcohen 7y ago|0 comments
63.
Machine Learning for Logs(zebrium.com)
3 points by gdcohen 7y ago|0 comments
64.
CNCF Member Webinar: Using Machine Learning for Autonomous Log Monitoring(cncf.io)
2 points by gdcohen 7y ago|0 comments
65.
HTTPS: //www.zebrium.com/blog/autonomous-log-monitoring-for-Kubernetes
2 points by gdcohen 7y ago|0 comments
66.
The Complexity of Hiding Complexity(zebrium.com)
1 points by gdcohen 7y ago|0 comments
67.
Using Machine Learning to Catch Problems in a Distributed Kubernetes Deployment(vmblog.com)
4 points by gdcohen 7y ago|0 comments
68.
by gdcohen 7y ago
Thanks, this is very helpful.
69.
Ask HN: Is ML a universally understood acronym?
2 points by gdcohen 7y ago|5 comments
70.
by gdcohen 7y ago
But how do you detect when something is broken or know when it is good enough to deploy everywhere?
71.
Ask HN: Who Is Testing in Production?
3 points by gdcohen 7y ago|4 comments
72.
Expense Report Is a Window into Your Soul(wsj.com)
1 points by gdcohen 7y ago|0 comments
73.
by gdcohen 7y ago
Gavin from Zebrium here. Again, we understand this concern. All data is encrypted in-flight and at rest and we have a lot of security controls in place (see our website). We also have the option of a dedicated VPC assigned to a single custo
74.
Practical log anomaly detection using machine learning(dev.to)
7 points by gdcohen 7y ago|0 comments
75.
Deploying into Production: The Need for a Red Light(zebrium.com)
1 points by gdcohen 7y ago|0 comments
76.
by gdcohen 7y ago
Sounds like someone is going to have to build a network of depth chargers :-)
77.
by gdcohen 7y ago
Also that the article talked about the colon as having a longer pause than a semicolon (different to how it is used today).
78.
Amazon Wants to Rule the Grocery Aisles, and Not Just at Whole Foods(nytimes.com)
1 points by gdcohen 7y ago|0 comments
79.
Deploying into Production: The Need for a Red Light(zebrium.com)
3 points by gdcohen 7y ago|0 comments
80.
Deploying into Production: The Need for a Red Light(zebrium.com)
3 points by gdcohen 7y ago|0 comments
81.
by gdcohen 7y ago
I grew up with an "Eiderdown" on my bed, and until now, mistakenly thought of it as a synonym for a quilt filled with feathers! https://www.thesaurus.com/browse/eiderdown
82.
Please don't make me structure logs(zebrium.com)
5 points by gdcohen 7y ago|0 comments
83.
by gdcohen 7y ago
There is a trend towards not testing at all! Instead builds are deployed straight to production or canary (mini-subset of production) and then very carefully and closely monitored. If a problem is uncovered, a rollback is performed. If cana
84.
Developers shouldn’t waste time structuring logs(zebrium.com)
2 points by gdcohen 7y ago|0 comments
85.
by gdcohen 7y ago
Sorry if this is pointing out the obvious, but the title is not a typo! We discuss an approach of using machine learning to automatically post-structure logs, rather than having to manually pre-structure them.
86.
Structured Logging vs. Structuring Logs(zebrium.com)
3 points by gdcohen 7y ago|1 comments
87.
by gdcohen 7y ago
Interesting how far spreadsheets have come since 1983 and, just as interesting, how much presentation tools and techniques have changed in the same time period!
88.
by gdcohen 7y ago
Excellent insights and a well written article. One suggestion - it would be helpful if you explained how someone can tell if they have each of the SEO features enabled.
89.
Using machine learning to detect anomalies in logs(zebrium.com)
3 points by gdcohen 7y ago|0 comments
90.
by gdcohen 7y ago
Totally unrelated, but this reminded me of a headline I read in the '70's proclaiming that the Beatles had made a new album using the band name "Klaatu". https://en.wikipedia.org/wiki/Klaatu_(band)

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