Kubernetes_Fundamentals_1735150967.pdf
7.8 MB
#Kubernetes
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DevOps_in_Python_1735889619.pdf
14.9 MB
#Python
Devops in Python
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Devops in Python
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Kubernetes_Fundamentals_1735150967.pdf
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12_Microservices_Best_Practices_1731222907.pdf
2.6 MB
#Microservice
Best practices of microservices
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Best practices of microservices
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Kubernetes can be configured in a multi-Master Node configuration. True or False?
Anonymous Quiz
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True
14%
False
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Linux_101_Hacks_1731261202.pdf
1.4 MB
#Linux
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How do you forcefully remove a locked package in Ubuntu?
Anonymous Quiz
62%
Use 'sudo dpkg --remove --force-remove-reinstreq package_name'
22%
Run 'apt-forceremove package_name'
5%
Type 'remove-package locked'
11%
Use 'force-uninstall package'
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subnetting_for_beginners__1703854965.pdf
603.5 KB
#Network
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HAProxy_in_Kubernetes_DevOps_Guide_1731261100.pdf
277.9 KB
#HAproxy
#Kubernetes
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Linux_1725214339.pdf
310.5 KB
#Linux
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Which option can be used with ‘rm’ command to prompt for file removal?
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Computer_Networking_Interview_Questions_1720276432.pdf
353.6 KB
#Network
#QA
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#QA
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The -b flag in an Ansible ad-hoc command indicates that the command should be executed with sudo privileges.
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false
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true
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Photo
Data is cached everywhere, from the front end to the back end!
This diagram illustrates where we cache data in a typical architecture.
There are multiple layers along the flow :
1. Client apps: HTTP responses can be cached by the browser.
We request data over HTTP for the first time, and it is returned with an expiry policy in the HTTP header; we request data again, and the client app tries to retrieve the data from the browser cache first.
2. CDN: CDN caches static web resources. The clients can retrieve data from a CDN node nearby.
3. Load Balancer: The load Balancer can cache resources as well.
4. Messaging infra: Message brokers store messages on disk first, and then consumers retrieve them at their own pace.
Depending on the retention policy, the data is cached in Kafka clusters for a period of time.
5. Services: There are multiple layers of cache in a service. If the data is not cached in the CPU cache, the service will try to retrieve the data from memory. Sometimes the service has a second-level cache to store data on disk.
6. Distributed Cache: Distributed cache like Redis hold key-value pairs for multiple services in memory. It provides much better read/write performance than the database.
7. Full-text Search: we sometimes need to use full-text searches like Elastic Search for document search or log search. A copy of data is indexed in the search engine as well.
8. Database: Even in the database, we have different levels of caches:
WAL(Write-ahead Log): data is written to WAL first before building the B tree index
9. Bufferpool: A memory area allocated to cache query results
Materialized View: Pre-compute query results and store them in the database tables for better query performance
10. Transaction log: record all the transactions and database updates
Replication Log: used to record the replication state in a database cluster.
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DevOps_Shack_100_Common_Kubernetes_Errors_and_Solutions_1737719531.pdf
1.5 MB
#Kubernetes
100 Kubernetes Errors &
Solutions
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100 Kubernetes Errors &
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AWS_CLI_Cheat_Sheet__1737737484.pdf
409 KB
#AWS
AWS CLI cheat sheet
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AWS CLI cheat sheet
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