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Merge pull request #130 from ShashaankS/remove-ref-tags-under-meshery-designs
Fix: Removed the hyperlinks to the original images
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content/learning-paths/98e16360-a366-4b78-8e0a-031da07fdacb/advanced-course/basics/content/storage/_index.md

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src="cdn.js"
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>}}
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[sos-cdn-arch](sos-cdn-arch.png)
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### Pre-signed Keys
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Pre-signed keys can be used to:
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content/learning-paths/98e16360-a366-4b78-8e0a-031da07fdacb/advanced-course/basics/content/traffic/_index.md

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id="embedded-design-3b115389-7480-4ff2-a952-1543ba10b881"
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src="internal-traffic.js"
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>}}
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[traffic-internal](traffic-internal.png)
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### Incoming Traffic
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Traffic coming from the internet is free.
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id="embedded-design-495c6d55-11ad-4c5b-887c-3ea573627569"
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src="incoming-traffic.js"
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>}}
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[traffic-incoming](traffic-incoming.png)
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### Outgoing Traffic
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Traffic towards the Internet is billed. BUT, it comes with a free tier at Exoscale:
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src="outgoing-traffic.js"
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>}}
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[traffic-outgoing](traffic-outgoing.png)
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### Example
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Two examples to illustrate the free tier and the billing aspects:
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content/learning-paths/98e16360-a366-4b78-8e0a-031da07fdacb/advanced-course/networks/content/load-balancing/_index.md

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id="embedded-design-f7b18766-0a3a-4270-9d2f-0a72951c329b"
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src="nlb.js"
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>}}
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[nlb](nlb.png)
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### Managed Elastic IP
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id="embedded-design-0d879683-6584-4f85-a50e-9d2eea160fbf"
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src="meip.js"
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>}}
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[meip](meip.png)
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### Comparison - Network Load Balancer / Managed Elastic IP
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- Allow 0.0.0.0/0 for port 443/tcp
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- Allow 90.80.60.0/24 for port 22/tcp *
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*) allow clients originating from the given subnet – e.g., company network - to connect to SSH; not on the diagram
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> allow clients originating from the given subnet – e.g., company network - to connect to SSH; not on the diagram
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### Backend Security Group
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- Allow Security Group Frontend for port 8080/tcp
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- Allow Security Group Backend for port 8080/tcp *
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*) without this rule, backend instances cannot access each other on 8080
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> without this rule, backend instances cannot access each other on 8080
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![SG-example2](SG-example2.png)

content/learning-paths/98e16360-a366-4b78-8e0a-031da07fdacb/cka-prep/content/creation/_index.md

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src="embedded-design-meshery-learning-path-design-650.js"
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>}}
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[step-1](step-1.png)
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## Cluster initialization
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---
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id="embedded-design-092fffc5-fb59-4c28-88aa-3c6253f1fb5a"
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src="embedded-design-meshery-learning-path-design-649.js"
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>}}
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[step-2](step-2.png)
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## Retrieving kubeconfig file
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---
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id="embedded-design-3c00dfb2-6ae9-4427-84a2-969f21ee9f2e"
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src="embedded-design-meshery-learning-path-design-648.js"
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>}}
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[step-3](step-3.png)
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## Status of the Nodes
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---

content/learning-paths/98e16360-a366-4b78-8e0a-031da07fdacb/intro-dbaas/databases/content/history-of-db/_index.md

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id="embedded-design-9d7c887a-b3c2-4b62-bc24-0889918fbfff"
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src="embedded-design-exoscale-hist-1.js"
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>}}
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[history-part-1](history-part-1.png)
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**Part 2** of the History of Database Evolution is about the influence of new technologies and the emergence of new players with new clever ideas (new database models). Today is all about combining, improving, optimizing, and automizing all available database models and their respective implementations (closed source and open source). The future is focused on driving business innovations with specialized database models specifically built/developed for business requirements.
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{{< meshery-design-embed
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id="embedded-design-8607ee73-6c66-488f-83b5-22469c78f4dd"
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src="embedded-design-exoscale-hist-2.js"
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[history-part-2](history-part-2.png)
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A glimpse of the future can be found in this excellent wired.com blog post infographic from approx. 2016 (The Future of the Database -- © wired.com). Unfortunately, the article is not available anymore, but the graphic survived on the internet. It gives an excellent summary of the past and predicts the future, as seen in 2016.
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content/learning-paths/98e16360-a366-4b78-8e0a-031da07fdacb/intro-dbaas/databases/content/selection-of-db/_index.md

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id="embedded-design-ef930c6a-f684-4195-8db5-a497e8bb85b0"
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src="embedded-design-exoscale-postgres.js"
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[dbaas-pg](dbaas-pg.png)
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PostgreSQL is a popular open source relational database known for its variety of features. It supports both SQL and JSON querying. The database offers a high level of integrity, correctness, and reliability. Rich features like MVCC, point in time recovery and asynchronous replication are part of the PostgreSQL database. You find more details about this database here.
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src="embedded-design-exoscale-mysql.js"
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[dbaas-mysql](dbaas-mysql.png)
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MySQL is the most widely used open source, object-relational database. It serves as a primary database for many known applications and is well known for its reliability and stability. MySQL has a very active developer community that continuously expand the MySQL functionalities. You find more details about this database here.
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id="embedded-design-39b19f78-ab9c-49be-adde-b908d4ea528b"
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src="embedded-design-exoscale-kafka.js"
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[dbaas-kafka](dbaas-kafka.png)
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Apache Kafka is a distributed, open source data source optimized for real-time processing of streaming data. The database enables low latency due to decoupled data streams, which makes it extremely high performing. Apache Kafka is highly scalable thanks to its distributed nature and makes it easily scalable. You find more details about this database here.
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src="embedded-design-exoscale-opensearch.js"
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[dbaasopensearch](dbaas-opensearch.png)
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OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, OpenSearch, and a visualization and user interface, OpenSearch Dashboards. OpenSearch enables people to easily ingest, secure, search, aggregate, view, and analyze data. You find more details about this database here.
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[scenario](scenario.png)
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Guidance is challenging to find, especially if you want to see the complete picture of available technology offers and not choosing a vendor first and then picking what is available in the portfolio.
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content/learning-paths/98e16360-a366-4b78-8e0a-031da07fdacb/intro-dbaas/managed-databases/content/evolution/_index.md

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[scenario](scenario.png)
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Looking back on the diagram of the example application shows that more and more data technologies are being utilized. So, sourcing different database technologies from a managed service provider is definitely not the final solution there. However, they are reducing complexity, increasing convenience for data service usage.
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content/learning-paths/98e16360-a366-4b78-8e0a-031da07fdacb/intro-kubernetes/why-managed-kubernetes/content/managed-kubenetes/_index.md

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Suppose you don't have the time, the budget, and the human resources to master all the complexity of Kubernetes on your own. In that case, your best option is to select a managed alternative to benefit from the power of Kubernetes in your developer and infrastructure platforms.
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{{< meshery-design-embed
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[managed-kubernetes.png](managed-kubernetes.png)
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A simple who is responsible for what and pain versus gain comparison from available solutions should paint a clear picture of the golden mean, which is managed Kubernetes for most newcomers to the topic at hand.
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