docs: remove old videos, fix links

Signed-off-by: Alex Aizman <[email protected]>

README.md

@@ -47,7 +47,7 @@ For developers and data scientists, there's also:
 * [Boto3 support](https://github.com/NVIDIA/aistore/tree/main/python/aistore/botocore_patch) for interoperability with AWS SDK for Python (aka [Boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html)) client
   - and other [Botocore](https://github.com/boto/botocore) derivatives.
 
-For the original AIStore **white paper** and design philosophy, for introduction to large-scale deep learning and the most recently added features, please see [AIStore Overview](/docs/overview.md) (where you can also find six alternative ways to work with existing datasets). Videos and **animated presentations** can be found at [videos](/docs/videos.md).
+For the original AIStore **white paper** and design philosophy, for introduction to large-scale deep learning and the most recently added features, please see [AIStore Overview](/docs/overview.md) (where you can also find six alternative ways to work with existing datasets). For our 2024 KubeCon presentation, please see [AIStore: Enhancing petascale Deep Learning across Cloud backends](https://www.youtube.com/watch?v=N-d9cbROndg).
 
 Finally, [getting started](/docs/getting_started.md) with AIS takes only a few minutes.
 
@@ -57,7 +57,9 @@ Finally, [getting started](/docs/getting_started.md) with AIS takes only a few m
 
 AIS deployment options, as well as intended (development vs. production vs. first-time) usages, are all [summarized here](deploy/README.md).
 
-Since prerequisites boil down to, essentially, having Linux with a disk the deployment options range from [all-in-one container](/docs/videos.md#minimal-all-in-one-standalone-docker) to a petascale bare-metal cluster of any size, and from a single VM to multiple racks of high-end servers. But practical use cases require, of course, further consideration and may include:
+Since the prerequisites essentially boil down to having Linux with a disk the deployment options range from [all-in-one container](https://github.com/NVIDIA/aistore/tree/main/deploy/prod/docker/single) to a petascale bare-metal cluster of any size, and from a single VM to multiple racks of high-end servers. Practical use cases require, of course, further consideration.
+
+Some of the most popular deployment options include:
 
 | Option | Objective |
 | --- | ---|

docs/_posts/2021-10-22-ais-etl-2.md

@@ -10,7 +10,7 @@ The goal now is to deploy our first ETL and have AIStore run it on each storage
 
 * [AIStore & ETL: Introduction](https://aiatscale.org/blog/2021/10/21/ais-etl-1)
 
-To quickly get to the point, we'll assume that an instance of AIStore - minimally, a single [all-in-one docker container](https://aiatscale.org/docs/videos.md#minimal-all-in-one-standalone-docker) - has been already deployed on Kubernetes.
+To quickly get to the point, we'll assume that an instance of AIStore - minimally, a single [all-in-one docker container](https://github.com/NVIDIA/aistore/tree/main/deploy/prod/docker/single) - has been already deployed on Kubernetes.
 
 > Check out our dedicated [ais-k8s repository](https://github.com/NVIDIA/ais-k8s/) for the multiple easy ways to accomplish Kubernetes deployments.
 

docs/changelog/v3.24.md

@@ -88,7 +88,7 @@ Version 3.24 arrives nearly 4 months after the previous one and contains more th
 | * io error counters: GET, PUT, DELETE
 | * simplify and refactor
 | * TODO: CLI to utilize `IsIOErrMetric`
-* "stats: remove "c[old-read-write" metric (obsolete)" c8c187ef1](https://github.com/NVIDIA/aistore/commit/old)
+* "stats: remove cold-read-write metric (obsolete) [c8c187ef1](https://github.com/NVIDIA/aistore/commit/c8c187ef1)
 | * transitioned to using per-backend "total" latencies
 | * up cli
 * "observability: per-backend 'get' and 'put' metrics - part 2" [5fd101589](https://github.com/NVIDIA/aistore/commit/5fd101589)
@@ -357,7 +357,7 @@ Version 3.24 arrives nearly 4 months after the previous one and contains more th
 
 * "list-objects: sort virtual dirs first, objects second" [b630043f7](https://github.com/NVIDIA/aistore/commit/b630043f7)
 | * part four, prev. commit: da0606fa17eec
-* "list-objects: amend listing virtual ('synthetic') dirs" [da0606fa1](https://github.com/NVIDIA/aistore/commit/ynthetic)
+* "list-objects: amend listing virtual ('synthetic') dirs" [da0606fa1](https://github.com/NVIDIA/aistore/commit/da0606fa1)
 | * aws and gcp backends to handle virtual dirs, set 'is-dir' bit
 | * (azure TBD)
 | * always return virtual directories (if any) - unless

docs/index.md

@@ -45,7 +45,7 @@ For developers and data scientists, there's also:
 * [Boto3 support](https://github.com/NVIDIA/aistore/tree/main/python/aistore/botocore_patch) for interoperability with AWS SDK for Python (aka [Boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html)) client
   - and other [Botocore](https://github.com/boto/botocore) derivatives.
 
-For the original AIStore **white paper** and design philosophy, for introduction to large-scale deep learning and the most recently added features, please see [AIStore Overview](/docs/overview.md) (where you can also find six alternative ways to work with existing datasets). Videos and **animated presentations** can be found at [videos](/docs/videos.md).
+For the original AIStore **white paper** and design philosophy, for introduction to large-scale deep learning and the most recently added features, please see [AIStore Overview](/docs/overview.md) (where you can also find six alternative ways to work with existing datasets). For our 2024 KubeCon presentation, please see [AIStore: enhancing petascale Deep Learning across Cloud backends](https://www.youtube.com/watch?v=N-d9cbROndg).
 
 Finally, [getting started](/docs/getting_started.md) with AIS takes only a few minutes.
 
@@ -55,7 +55,9 @@ Finally, [getting started](/docs/getting_started.md) with AIS takes only a few m
 
 AIS deployment options, as well as intended (development vs. production vs. first-time) usages, are all [summarized here](/deploy/README.md).
 
-Since prerequisites boil down to, essentially, having Linux with a disk the deployment options range from [all-in-one container](/docs/videos.md#minimal-all-in-one-standalone-docker) to a petascale bare-metal cluster of any size, and from a single VM to multiple racks of high-end servers. But practical use cases require, of course, further consideration and may include:
+Since the prerequisites essentially boil down to having Linux with a disk the deployment options range from [all-in-one container](https://github.com/NVIDIA/aistore/tree/main/deploy/prod/docker/single) to a petascale bare-metal cluster of any size, and from a single VM to multiple racks of high-end servers. Practical use cases require, of course, further consideration.
+
+Some of the most popular deployment options include:
 
 | Option | Objective |
 | --- | ---|

python/README.md

@@ -12,4 +12,5 @@ See the README files in each module for usage details:
 * [AIStore GitHub](https://github.com/NVIDIA/aistore)
 * [Documentation](https://aistore.nvidia.com/docs)
 * [AIStore pip package](https://pypi.org/project/aistore/)
-* [Videos and demos](https://github.com/NVIDIA/aistore/blob/main/docs/videos.md)
+* [KubeCon 2024 presentation](https://www.youtube.com/watch?v=N-d9cbROndg)
+

python/aistore/botocore_patch/README.md

@@ -49,5 +49,6 @@ This setup replaces the `Authorization` header with the correct token before the
 
 * [AIStore GitHub](https://github.com/NVIDIA/aistore)
 * [Documentation](https://aistore.nvidia.com/docs)
+* [Blog](https://aistore.nvidia.com/blog)
 * [AIStore pip package](https://pypi.org/project/aistore/)
-* [Videos and demos](https://github.com/NVIDIA/aistore/blob/main/docs/videos.md)
+* [KubeCon 2024 presentation](https://www.youtube.com/watch?v=N-d9cbROndg)

python/aistore/sdk/README.md

@@ -145,4 +145,5 @@ For more information on SDK usage, refer to the [SDK reference documentation](ht
 * [AIStore GitHub](https://github.com/NVIDIA/aistore)
 * [Documentation](https://aistore.nvidia.com/docs)
 * [AIStore pip package](https://pypi.org/project/aistore/)
-* [Videos and demos](https://github.com/NVIDIA/aistore/blob/main/docs/videos.md)
+* [Blog](https://aistore.nvidia.com/blog)
+* [KubeCon 2024 presentation](https://www.youtube.com/watch?v=N-d9cbROndg)