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new 90a9835 [DLAB-1999]: Updated user guide according to release 2.4
(#868)
90a9835 is described below
commit 90a983500e26bcaa9863aa2cbaa924bf81f48cbb
Author: viravit <vira_vitan...@epam.com>
AuthorDate: Tue Aug 18 13:28:44 2020 +0300
[DLAB-1999]: Updated user guide according to release 2.4 (#868)
[DLAB-1999]: Updated user guide according to release 2.4
---
USER_GUIDE.md | 136 +++++++++++++++++++++++-----------
doc/audit_info.png | Bin 0 -> 6274 bytes
doc/audit_page.png | Bin 0 -> 109629 bytes
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41 files changed, 94 insertions(+), 42 deletions(-)
diff --git a/USER_GUIDE.md b/USER_GUIDE.md
index 78876fc..8bff75c 100644
--- a/USER_GUIDE.md
+++ b/USER_GUIDE.md
@@ -38,6 +38,8 @@ DLab is an essential toolset for analytics. It is a
self-service Web Console, us
[Git UI tool
(ungit)](#git_ui)
+ [Bucket
browser](#bucket)
+
[Administration](#administration)
[Manage roles](#manage_roles)
@@ -52,6 +54,8 @@ DLab is an essential toolset for analytics. It is a
self-service Web Console, us
[DLab billing report](#billing_page)
+[DLab audit report](#audit_page)
+
[Web UI filters](#filter)
@@ -93,7 +97,7 @@ After login user sees warning in case of exceeding quota or
close to this limit.
When you log into DLab Web interface, the first thing you need to do is to
create a new project.
-To do this click on “Upload” button on “Projects” page, select your personal
public key (or click on "Generate" button), endpoint, group, 'Use shared image'
select enable or disable and hit “Create” button. Do not forget to save your
private key.
+To do this click on “Upload” button on “Projects” page, select your personal
public key (or click on "Generate" button), endpoint, group and hit “Create”
button. Do not forget to save your private key.
<p align="center" class="facebox-popup">
<img src="doc/upload_or_generate_user_key.png" alt="Upload or generate
user key" width="100%">
@@ -103,8 +107,6 @@ Please note, that you need to have a key pair combination
(public and private ke
Creation of Project starts after hitting "Create" button. This process is a
one-time operation for each Data Scientist and it might take up-to 10 minutes
for DLab to setup initial infrastructure for you. During this process project
is in status "Creating".
-'Use shared image' enabled means, that an image of particular notebook type is
created while first notebook of same type is created in DLab. This image will
be availble for all DLab users. This image is used for provisioning of further
notebooks of same type within DLab. 'Use share image' disabled means, that
image of particular notebook type is created while first notebook of same type
is created in DLab. This AMI is available for all users withing same project.
-
As soon as Project is created, Data Scientist can create notebook server on
“List of Resources” page. The message “To start working, please create new
environment” is appeared on “List of Resources” page:
@@ -123,9 +125,9 @@ Currently by means of DLab, Data Scientists can select
between any of the follow
- Jupyter
- Apache Zeppelin
- RStudio
-- RStudio with TensorFlow
+- RStudio with TensorFlow (implemented on AWS)
- Jupyter with TensorFlow
-- Deep Learning (Jupyter + MXNet, Caffe, Caffe2, TensorFlow, CNTK, Theano,
Torch and Keras)
+- Deep Learning (Jupyter + MXNet, Caffe2, TensorFlow, CNTK, Theano, PyTorch
and Keras)
- JupyterLab
- Superset (implemented on GCP)
@@ -174,8 +176,8 @@ In the body of the dialog:
- Up time
- Analytical tool URL
- Git UI tool (ungit)
-- Shared bucket for all users
- Project bucket for project members
+- Bucket browser
To access analytical tool Web UI you use direct URL's (your access is
established via reverse proxy, so you don't need to have Edge node tunnel up
and running).
@@ -187,23 +189,22 @@ On every analytical tool instance you can install
additional libraries by clicki
<img src="doc/notebook_menu_manage_libraries.png" alt="Notebook
manage_libraries" width="150">
</p>
-After clicking you see the window with 3 fields:
+After clicking you see the window with 4 fields:
- Field for selecting an active resource to install libraries
- Field for selecting group of packages (apt/yum, Python 2, Python 3, R,
Java, Others)
-- Field for search available packages with autocomplete function except for
Java. java library you should enter using the next format:
"groupID:artifactID:versionID"
+- Field for search available packages with autocomplete feature (if it's
gained) except Java dependencies. For Java library you should enter using the
next format: "groupID:artifactID:versionID"
+- Field for library version. It's an optional field.
-You need to wait for a while after resource choosing till list of all
available libraries is received.
+You need to wait for a while after resource choosing till list of all
available libraries is received. If available libraries list is not gained due
to some reasons you are able to proceed to work without autocomplete feature.
-**Note:** Apt or yum packages depends on your DLab OS family.
+**Note:** Apt or Yum packages depend on your DLab OS family.
**Note:** In group Others you can find other Python (2/3) packages, which
haven't classifiers of version.
-
-
After selecting library, you can see it in the midle of the window and can
delete it from this list before installation.
@@ -212,7 +213,7 @@ After clicking on "Install" button you see process of
installation with appropri
-**Note:** If package can't be installed you see "Failed" in status column and
button to retry installation.
+**Note:** If package can't be installed you see "instalation error" in status
column and button to retry installation or 'invalid name' or 'invalid version'.
### Create image <a name="create_image"></a>
@@ -242,8 +243,6 @@ To create new analytical environment from custom image
click on "Create new" but
Before clicking "Create" button you should choose the image from "Select AMI"
and fill in the "Name" and "Instance shape".
-**NOTE:** This functionality is implemented for AWS and Azure.
-
--------------------------
## Stop Notebook server <a name="notebook_stop"></a>
@@ -260,6 +259,10 @@ Hit "OK" in confirmation popup.
**NOTE:** Connected Data Engine Service becomes Terminated while connected (if
any) Data Engine (Standalone Apache Spark cluster) becomes Stopped.
<p align="center">
+ <img src="doc/notebook_terminate_confirm.png" alt="Notebook terminate
confirm" width="400">
+</p>
+
+<p align="center">
<img src="doc/notebook_stop_confirm.png" alt="Notebook stop confirm"
width="400">
</p>
@@ -268,13 +271,13 @@ After you confirm your intent to stop the notebook - the
status changes to "Stop
--------------------------------
## Terminate Notebook server <a name="notebook_terminate"></a>
-Once you have finished working with an analytical tool and you need don't
neeed cloud resources anymore, for the sake of the costs, we recommend to
terminate the notebook. You are not able to start the notebook which has been
terminated. Instead, you have to create new Notebook if you need to proceed
with your analytical activities.
+Once you have finished working with an analytical tool and you don't neeed
cloud resources anymore, for the sake of the costs, we recommend to terminate
the notebook. You are not able to start the notebook which has been terminated.
Instead, you have to create new Notebook if you need to proceed with your
analytical activities.
**NOTE:** Make sure you back-up your data (if exists on Notebook) and
playbooks before termination.
To terminate the Notebook click on a gear icon <img src="doc/gear_icon.png"
alt="gear" width="20"> in the "Actions" column for a needed Notebook and hit
"Terminate":
-**NOTE:** If any Computational resources have been linked to your notebook
server – they are automatically terminated if you terminate the notebook.
+**NOTE:** If any Computational resource has been linked to your notebook
server – it's automatically terminated if you terminate the notebook.
Confirm termination of the notebook and afterwards notebook status changes to
"Terminating":
@@ -294,37 +297,39 @@ On “Create Computational Resource” popup you have to
choose Computational re
- Total number of instances (min 2 and max 14, configurable);
- Master and Slave instance shapes (list is configurable and supports all
available cloud instance shapes, supported in your cloud region);
-Also, if you want to save some costs for your Computational resource you can
create it based on [spot instances](https://aws.amazon.com/ec2/spot/)(this
functionality is for AWS cloud) or [preemptible
instances](https://cloud.google.com/compute/docs/instances/preemptible) (this
functionality is for GCP), which are often available at a discount price:
+Also, if you want to save some costs for your Data Engine Service you can
create it based on [spot instances](https://aws.amazon.com/ec2/spot/) (this
functionality is for AWS cloud) or [preemptible
instances](https://cloud.google.com/compute/docs/instances/preemptible) (this
functionality is for GCP), which are often available at a discount price:
- Select Spot Instance checkbox;
- Specify preferable bid for your spot instance in % (between 20 and 90,
configurable).
**NOTE:** When the current Spot price rises above your bid price, the Spot
instance is reclaimed by cloud so that it can be given to another customer.
Please make sure to backup your data on periodic basis.
-This picture shows menu for creating Computational resource for AWS:
+This picture shows menu for creating EMR (Data Engine Service) for AWS:
<p align="center">
<img src="doc/emr_create.png" alt="Create Computational resource on AWS"
width="760">
</p>
-You can override the default configurations for applications by supplying a
configuration object for applications when you create a cluster (this
functionality is only available for Amazon EMR cluster). The configuration
object is referenced as a JSON file.
+You can override the default configurations for applications for Data Engine
Service by supplying a configuration object for applications when you create a
cluster (this functionality is available for Amazon EMR cluster). The
configuration object is referenced as a JSON file.
To tune computational resource configuration check off "Cluster
configurations" check box and insert JSON format in text box:
<p align="center">
<img src="doc/emr_create_configuration.png" alt="Create Custom
Computational resource on AWS" width="760">
</p>
-This picture shows menu for creating Computational resource for GCP:
+This picture shows menu for creating Dataproc (Data Engine Service) for GCP:
<p align="center">
<img src="doc/dataproc_create.png" alt="Create Computational resource on
GCP" width="760">
</p>
To create Data Engine Service (Dataproc) with preemptible instances check off
'preemptible node count'. You can add from 1 to 11 preemptible instances.
-This picture shows menu for creating Computational resource for Azure:
+This picture shows menu for creating Standalone Apache Spark cluster for
Azure, AWS and GCP:
<p align="center">
- <img src="doc/dataengine_creating_menu.png" alt="Create Computational
resource on Azure" width="760">
+ <img src="doc/spark_creating_menu.png" alt="Create Computational resource
on Azure" width="760">
</p>
+On top of that you can override the default spark configurations for
Standalone Apache Spark cluster by supplying a configuration object for
applications when you create a cluster or have already created. The
configuration object is referenced as a JSON file. To tune spark configuration
check off "Cluster configurations" check box and insert JSON format in text box.
+
If you click on "Create" button Computational resource creation kicks off. You
see corresponding record on DLab Web UI in status "Creating":
@@ -343,9 +348,9 @@ Since Computational resource is up and running - you are
now able to leverage cl
To do that open any of the analytical tools and select proper
kernel/interpreter:
-**Jupyter** – go to Kernel and choose preferable interpreter between local and
Computational resource ones. Currently we have added support of Python 2/3,
Spark, Scala, R in Jupyter.
+**Jupyter** – go to Kernel and choose preferable interpreter between local and
Computational resource ones. Currently we have added support of Python 2 (only
for local kernel)/3, Spark, Scala, R in Jupyter.
-
+
**Zeppelin** – go to Interpreter Biding menu and switch between local and
Computational resource there. Once needed interpreter is selected click on
"Save".
@@ -360,12 +365,12 @@ Insert following “magics” before blocks of your code to
start executing your
**RStudio –** open R.environ and comment out /opt/spark/ to switch to
Computational resource and vise versa to switch to local kernel:
-
+
---------------
## Stop Standalone Apache Spark cluster <a name="spark_stop"></a>
-Once you have stopped working with Standalone Apache Spark cluster (Data
Engine) and you need to release cloud resources for the sake of the costs, you
might want to stop Standalone Apache Spark cluster. You are able to start
Standalone Apache Spark cluster again after a while and proceed with your
analytics.
+Once you have stopped working with Standalone Apache Spark cluster and you
need to release cloud resources for the sake of the costs, you might want to
stop Standalone Apache Spark cluster. You are able to start Standalone Apache
Spark cluster again after a while and proceed with your analytics.
To stop Standalone Apache Spark cluster click on <img src="doc/stop_icon.png"
alt="stop" width="20"> button close to Standalone Apache Spark cluster alias.
@@ -392,7 +397,7 @@ In a while Computational resource gets "Terminated".
Corresponding cloud instanc
## Scheduler <a name="scheduler"></a>
Scheduler component allows to automatically schedule Start and Stop triggers
for a Notebook/Computational, while
-for Data Engine or Data Engine Service it can only trigger Stop or Terminate
action correspondigly. There are 2 types of a scheduler:
+for Data Engine or Data Engine Service (Standalone Apache Spark cluster) it
can only trigger Stop or Terminate action correspondigly. There are 2 types of
a scheduler:
- Scheduler by time;
- Scheduler by inactivity.
@@ -437,7 +442,7 @@ There is a possibility to inherit scheduler start settings
from notebook, if suc
</p>
Notebook/Standalone Apache Spark cluster is started/stopped automatically
after scheduler setting.
-Please also note that if notebook is configured to be stopped, all running
data engines assosiated with is stopped (for Standalone Apache Spark cluster)
or terminated (for data engine serice) with notebook.
+Please also note that if notebook is configured to be stopped, running
computational resource assosiated with is stopped (for Standalone Apache Spark
cluster) or terminated (for data engine serice) with notebook.
After login user is notified that corresponding resources are about to be
stopped/terminated in some time.
@@ -459,7 +464,7 @@ When you click on the button "Git credentials" – following
popup shows up:
</p>
In this window you need to add:
-- Your Git server hostname, without **http** or **https**, for example:
gitlab.com, github.com, bitbucket.com, or your internal Git server.
+- Your Git server hostname, without **http** or **https**, for example:
gitlab.com, github.com, bitbucket.com.
- Your Username and Email - used to display author of commit in git.
- Your Login and Password - for authorization into git server.
@@ -483,9 +488,7 @@ On every analytical tool instance you can see Git UI tool
(ungit):
Before start working with Git repositories, you need to change working
directory on the top of window to:
-**/home/dlab-user/** or **/opt/zeppelin/notebook** for Zeppelin analytical
tool and press Enter.
-
-**Note:** Zeppelin already uses git for local versioning of files, you can add
upstream for all notebooks.
+**/home/dlab-user/** and press Enter.
After changing working directory you can create repository or better way -
clone existing:
@@ -512,6 +515,32 @@ After commit you see your local version and remote
repository. To push you chang
Also clicking on "Circle" button you can uncommit or revert changes.
--------------------------------
+
+### Bucket browser <a name="bucket"></a>
+
+You are able to access to cloud buckets via DLab Web UI.
+There are two ways to open bucket browser:
+- clicking on Notebook name on the "List of resources" page, where there is an
"Open bucket browser" link;
+- clicking on "Bucket browser" bucket on the "List of resources" page.
+
+
+
+When you click on the "Bucket browser" button or "Open bucket browser" link –
following popup shows up:
+
+
+
+In the left side of the grid you see buckets for which you have access. You
can switch between buckets by choosing appropriate one. In the right side of
the grid you see folders and files which are already created or uploaded.
+
+In the bucket browser you are supposed to:
+- upload file;
+- create folder;
+- delete folder and file;
+- download file;
+- copy path to folder or to file.
+
+
+
+--------------------------------
# Administration <a name="administration"></a>
## Manage roles <a name="manage_roles"></a>
@@ -526,6 +555,7 @@ To do it click on "Add group" button. "Add group" popup
shows up:
Roles consist of:
- Administration - allow to execute administrative operation for the whole
DLab or administrative operation only per project;
- Billing - allow to view billing only the own resources or all users;
+- Bucket browser actions - allow to set permissions for cloud buckets if user
only accesses via bucket browser
- Compute - list of Compute types which are supposed for creation;
- Compute shapes - list of Compute shapes which are supposed for creation;
- Notebook - list of Notebook templates which are supposed for creation;
@@ -535,7 +565,7 @@ Roles consist of:
<img src="doc/roles.png" alt="Roles" width="450">
</p>
-To add group enter group name, choose certain action which should be allowed
for group and also you can add discrete user(s) (not mandatory) and then click
"Create" button.
+To add group enter group name, choose certain action which should be allowed
for group and furthermore you can add discrete user(s) (not mandatory) and then
click "Create" button.
After addidng the group it appears on "Manage roles" popup.
Administrator can remove group or user. For that you should only click on bin
icon <img src="doc/bin_icon.png" alt="bin" width="15">for certain group or for
icon <img src="doc/delete_btn.png" alt="delete" width="13"> for particular
user. After that hit "Yes" in confirmation popup.
@@ -560,12 +590,11 @@ The following menu shows up:
Administrator can edit already existing project:
- Add or remove group;
-- Add new endpoint;
-- Switch off/on 'Use shared image' option.
+- Add new endpoint.
To edit the project hit "Edit project" and choose option which you want to
add, remove or change. For applying changes click on "Update" button.
-To stop Edge node hit "Stop edge node". After that confirm "OK" in
confirmation popup. All related instances change its status from 'Running' to
"Stopping" and soon become "Stopped". You are able to start Edge node again
after a while and proceed with your work. Do not forget to start notebook again
if you want to continue with your analytics. Because start Edge node does not
start related instances.
+To stop Edge node hit "Stop edge node". After that confirm "OK" in
confirmation popup. All related instances change its status from 'Running' to
"Stopping" (except for Data Engine Service, its status is "Terminated") and
soon become "Stopped" ("Terminated" for Data Engine Service). You are able to
start Edge node again after a while and proceed with your work. Do not forget
to start notebook again if you want to continue with your analytics. Because
start Edge node does not start related [...]
To terminate Edge node hit "Terminate edge node". After that confirm "OK" in
confirmation popup. All related instances change its status to "Terminating"
and soon become "Terminated".
@@ -584,7 +613,7 @@ To stop or terminate the Notebook click on a gear icon <img
src="doc/gear_icon.p
<img src="doc/manage_env_actions.png" alt="Manage environment actions"
width="160">
</p>
-**NOTE:** Connected Data Engine Server is terminated and related Data Engine
is stopped during Notebook stopping. During Notebook termination related
Computational resources are automatically terminated.
+**NOTE:** Connected Data Engine Server is terminated and related Standalone
Apache Spark cluster is stopped during Notebook stopping. During Notebook
termination related Computational resource is automatically terminated.
To stop or release specific cluster click an appropriate button close to
cluster alias.
@@ -598,7 +627,7 @@ Confirm stopping/decommissioning of the Computational
resource by hitting "Yes":
<img src="doc/manage_env_confirm.png" alt="Manage environment action
confirm" width="400">
</p>
-**NOTE:** Terminate action is available only for notebooks and computational
resources, not for Edge Nodes.
+**NOTE:** Terminate action is available only for notebook and computational
resource, not for Edge Node.
### Multiple Cloud Endpoints <a name="multiple_cloud_endpoints"></a>
@@ -618,7 +647,7 @@ Administrator can deactivate whole analytical environment
via bin icon <img src=
### Manage DLab quotas <a name="manage_dlab_quotas"></a>
-Administrator can set quotas per project and for the whole DLab. To do it
click on "Manage DLab quotas" button. "Manage DLab quotas" popup shows up.
Administrator can see all active project:
+Administrator can set quotas per project (monthly or total period) and for the
whole DLab. To do it click on "Manage DLab quotas" button. "Manage DLab quotas"
popup shows up. Administrator can see all active project:
<p align="center">
<img src="doc/manage_environment.png" alt="Manage environment" width="520">
@@ -628,7 +657,7 @@ After filling fields and clicking on "Apply" button, new
quotas are used for pro
If project and DLab quotas are exceeded the warning shows up during login.
<p align="center" class="facebox-popup">
- <img src="doc/exceeded quota.png" alt="Exceeded quota" width="400">
+ <img src="doc/project_quota.png" alt="Exceeded project quota" width="400">
</p>
In such case user cannot create new instance and already "Running" instance
changes its status to "Stopping", except for Data Engine Service (its status
changes "Terminating") and soon becomes "Stopped" or "Terminated" appropriately.
@@ -658,6 +687,29 @@ On top of that you can sort data by user, project, service
charges.
In the footer of billing report, you can see "Total" cost for all environments.
+
+--------------------------------
+
+# DLab Audit report <a name="audit_page"></a>
+
+On this page you can see change history, which have been done by any user.
+
+You are able to view:
+- when the action was done
+- who did the action
+- what the action was done
+
+Furthermore on the center of header you can choose period of report in
datepicker.
+
+
+
+If you click information icon <img src="doc/icon_info.png" alt="bin"
width="15"> you see more detail information.
+
+<p align="center">
+ <img src="doc/audit_info.png" alt="Notebook stop confirm" width="400">
+</p>
+
+
--------------------------------
# Web UI filters <a name="filter"></a>
@@ -669,7 +721,7 @@ To do this, simply click on icon <img
src="doc/filter_icon.png" alt="filter" wid
- environment name (input field);
- status (multiple choice);
- shape (multiple choice);
-- computational resources (multiple choice);
+- compute (multiple choice);
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