expeditedsecurity.com
Amazon Web Services In Plain English:
It's named what? Figure out what Amazon Web Services should actually have been called.
Flavio Juvenal
The links, tools and tips our engineers and designers share with each other, one “today I learned” at a time.








expeditedsecurity.com
It's named what? Figure out what Amazon Web Services should actually have been called.
Flavio Juvenal
Tech Insights· expeditedsecurity.com
From expeditedsecurity.com
It's named what? Figure out what Amazon Web Services should actually have been called.
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Tech Insights· zwischenzugs.com
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cloud.google.com
Learn how the Four Keys open source project lets you gauge your DevOps performance according to DORA metrics.
Joao Veras
Tech Insights· cloud.google.com
From cloud.google.com
Learn how the Four Keys open source project lets you gauge your DevOps performance according to DORA metrics.
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Tech Insights· tech.channable.com
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Tech Insights· youtube.com
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postgresqlco.nf
select pg_reload_conf() is a handy command to unnecessary database restarts, it reloads the configuration file with the cha...select pg_reload_conf() is a handy command to unnecessary database restarts, it reloads the configuration file with the changes you made. To check if there are no unapplied configuration changes, use select * from pg_file_settings where applied = false. For a better understanding on PostgreSQL configuration parameters, their values and whether or not they require a restart, check:
Carlos Coelho
Tech Insights· postgresqlco.nf
select pg_reload_conf() is a handy command to unnecessary database restarts, it reloads the configuration file with the cha...select pg_reload_conf() is a handy command to unnecessary database restarts, it reloads the configuration file with the changes you made. To check if there are no unapplied configuration changes, use select * from pg_file_settings where applied = false. For a better understanding on PostgreSQL configuration parameters, their values and whether or not they require a restart, check:
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citusdata.com
All about understanding and using the work_mem setting in PostgreSQL, so you can tune how much memory can be used by various Postgres database activities. With a flyby on how Citus intelligently tunes the work_mem setting in our managed database service.
Carlos Coelho
Tech Insights· citusdata.com
From citusdata.com
All about understanding and using the work_mem setting in PostgreSQL, so you can tune how much memory can be used by various Postgres database activities. With a flyby on how Citus intelligently tunes the work_mem setting in our managed database service.
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a16z.com
To help data teams stay on top of the changes happening in the industry, this article reviews an updated set of data infrastructure architectures.
Flavio Juvenal
Tech Insights· a16z.com
From a16z.com
To help data teams stay on top of the changes happening in the industry, this article reviews an updated set of data infrastructure architectures.
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blog.checklyhq.com
When building SaaS features I tend to pick Heroku for rolling it out. But sometimes I pick AWS Lambda. Developer Experience vs. price vs. features
Marcos Felipe
Tech Insights· blog.checklyhq.com
From blog.checklyhq.com
When building SaaS features I tend to pick Heroku for rolling it out. But sometimes I pick AWS Lambda. Developer Experience vs. price vs. features
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blog.kubeflow.org
An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow.
Flavio Juvenal
Tech Insights· blog.kubeflow.org
From blog.kubeflow.org
An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow.
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infoq.com
An AWS engineer recently wrote about how Amazon deployment pipelines look and what practices they follow to deploy continuously to production. A pipeline validates changes in multiple environments running unit and integration tests, and use stages to stagger deployments to production. Teams don't actively examine deployments as the pipeline monitors key metrics and can rollback if needed.
Carlos Coelho
Tech Insights· infoq.com
From infoq.com
An AWS engineer recently wrote about how Amazon deployment pipelines look and what practices they follow to deploy continuously to production. A pipeline validates changes in multiple environments running unit and integration tests, and use stages to stagger deployments to production. Teams don't actively examine deployments as the pipeline monitors key metrics and can rollback if needed.
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aws.amazon.com
How Amazon automates safe, hands-off deployments with pipelines that test, stage, monitor, and roll back changes without human intervention.
Rebeca Sarai
Tech Insights· aws.amazon.com
From aws.amazon.com
How Amazon automates safe, hands-off deployments with pipelines that test, stage, monitor, and roll back changes without human intervention.
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Tech Insights· alexpareto.com
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Tech Insights· rainforestqa.com
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nicolargo.github.io
Glances is a cross-platform curses-based system monitoring tool written in Python.
Flávio Juvenal
Tech Insights· nicolargo.github.io
From nicolargo.github.io
Glances is a cross-platform curses-based system monitoring tool written in Python.
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