Skip to content

Commit a1c557e

Browse files
Merge branch 'master' into staging
2 parents a92a21c + 8420564 commit a1c557e

File tree

98 files changed

+6374
-835
lines changed

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

98 files changed

+6374
-835
lines changed

content/blog/3-ways-a-data-fabric-enables-a-data-first-approach.md

Lines changed: 3 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -7,6 +7,7 @@ disable: false
77
tags:
88
- hpe-ezmeral-data-fabric
99
- hpe-ezmeral
10+
- dragonhpc
1011
---
1112
**Editor’s note: This article was originally posted on HPE Enterprise.nxt on March 15, 2022**
1213

@@ -34,10 +35,8 @@ Data motion is a key issue in large-scale data systems. Data motion can include
3435

3536
At one extreme, people may have an ingrained assumption that data motion is not a viable option, based on legacy systems that lack any provision for moving data. Without motion, data that could have value if put into a more global context may be discarded instead.
3637

37-
3838
![Block text](/img/3waysadatafabric-enablesadatafirstapproach-quote.png "Block text")
3939

40-
4140
At other companies, the pendulum has swung radically to the opposite extreme, with a policy that all data to be analyzed must be moved to a central data center, either on premises or in the cloud. Unfortunately, the costs of data motion mount up, and where large amounts of data are at issue, only a tiny fraction of all possible data will be moved. Once again, data you could analyze is simply discarded.
4241

4342
Fortunately, a new middle ground is emerging. In telecommunications, finance, media, manufacturing, and other business sectors, far more data is collected than could possibly be moved back to headquarters. Data is partially processed in situ before extracts and summaries are moved to a central location or a regional sub-center for further analysis on aggregates from many edge sources. This edge processing strategy commonly uses pattern recognition to pull out the interesting bits or anomalies for transfer.
@@ -81,8 +80,8 @@ Having the right data infrastructure lets you focus on the decisions that will m
8180
### Lessons for leaders
8281

8382
* A data fabric is a highly scalable data infrastructure designed to store, manage, and move data as a unifying layer across an enterprise from edge to data center, on premises or in the cloud.
84-
* A well-engineered modern data fabric allows DevOps and other teams to access data in the way they prefer.
85-
* Making wrong assumptions about data motion is one of the most common ways businesses inadvertently give up their ability to extract value from data.
83+
* A well-engineered modern data fabric allows DevOps and other teams to access data in the way they prefer.
84+
* Making wrong assumptions about data motion is one of the most common ways businesses inadvertently give up their ability to extract value from data.
8685

8786
<br />
8887

Lines changed: 11 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
1+
---
2+
title: "Activation Memory: What is it?"
3+
date: 2024-05-15T17:54:38.309Z
4+
externalLink: https://www.determined.ai/blog/act-mem-1
5+
author: Garrett Goon, Kevin Musgrave
6+
authorimage: /img/garrett_goon.jpg
7+
disable: false
8+
tags:
9+
- determined-ai
10+
---
11+
External blog post

content/blog/api-console-for-data-services-cloud-console.md

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -12,6 +12,7 @@ tags:
1212
- hpe-greenlake-cloud-platform
1313
- cloud-architect
1414
- hpe-greenlake
15+
- data-services-on-the-hpe-greenlake-platform
1516
---
1617
## Secured, Yet Agile
1718

Lines changed: 14 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
1+
---
2+
title: Automating IT Operations with Compute Ops Management Webhooks
3+
date: 2024-05-03T09:54:45.753Z
4+
externalLink: https://jullienl.github.io/Implementing-webhooks-with-COM/
5+
author: Lionel Jullien
6+
authorimage: /img/lionel-jullien-192-dev.jpg
7+
disable: false
8+
tags:
9+
- COM
10+
- hpe-greenlake-for-compute-ops-management
11+
- DevOps
12+
- no-code
13+
---
14+
NONE

content/blog/automating-operations-on-dscc-using-ansible-playbooks.md

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,6 +8,7 @@ disable: false
88
tags:
99
- data-services-cloud-console
1010
- Ansible
11+
- data-services-on-the-hpe-greenlake-platform
1112
---
1213
<style>
1314
li {
@@ -443,4 +444,4 @@ PLAY RECAP *********************************************************************
443444

444445
In the current release, only critical resources are supported. New resources will be added moving forward. This is just the beginning. In the future, there are many use cases to cover.
445446

446-
In this blog, I gave you a preview of the Ansible playbooks for HPE GreenLake Data Services Cloud Console. This SDK is a Beta version with lots of rooms for improvement. I would urge you to try out the features and keep us engaged with your feedback so that we come out with a better version for the GA. Also, look out for other posts in the HPE Developer blog that are related to Data Services Cloud Console.
447+
In this blog, I gave you a preview of the Ansible playbooks for HPE GreenLake Data Services Cloud Console. This SDK is a Beta version with lots of rooms for improvement. I would urge you to try out the features and keep us engaged with your feedback so that we come out with a better version for the GA. Also, look out for other posts in the HPE Developer blog that are related to Data Services Cloud Console.

0 commit comments

Comments
 (0)