Graphistry has made it to Azure! The easiest way to get started in Azure is through the Azure Marketplace, and for enterprise users, we also support Docker installation.
Of course, we still love Graphistry on Amazon Marketplace too: The Graphistry ontology now supports CloudTrails datatypes out-of-the-box. On-premise? In 2.24.11, we also added an example of setting up an RHEL 7.6 environment for nvidia-docker-based software in addition to our existing Ubuntu guides.
Read on to learn more about this release, and see full release notes at our new release notes page .
1. Graphistry on Azure Marketplace
Azure users can now get going with GPU visual graph analytics to explore your favorite data and build reusable investigation workflows over them!
Launch in a few quick steps:
- Start by clicking through Get it now u2192 continue u2192 create
- Configure the VM size to a NCv2-series or NCv3-series GPU, such as NC6s v2 (single P100 GPU) in East US or West US 2. Consult the Azure product region availability table for the best NCv2/NCv3 GPUs near you.
- Fill out the rest of the VM table as if for a regular web app, review, and create:
- Expose http (80), https (443), and ssh (22)
- Set an ssh key or password
The server will launch, and within 5 minutes, you can go to the servers URL and login as an admin. You can then use the same steps from our Graphistry AWS Marketplace tutorial for loading your first graphs and further configuring your instance. For ideas and help from our team, please do not hesitate to reach out and schedule a free setup call.
For more on Graphistry in Azure:
- Launch in your Azure
- Azure Marketplace docs
- Enterprise BYOL Azure manual setup docs
2. Visualize AWS CloudWatch & CloudTrail logs with Graphistry
You can now query your AWS logs and get back automatically generated and carefully formatted interactive GPU visual graph analytics sessions. The built-in Graphistry ontology now recognizes 100+ Amazon event types out-of-the-box! Just spin up Graphistry, connect to the data source (Splunk, …) with your AWS logs, and go.
In the screenshot below, we loaded a search from a saved investigation (ex: search by tenant ID) , and automatically see the hosts, users, roles, services, and individual events mapped out. Selecting the user of interest, we see she was only active on two IPs over two distinct bursts, and we can further drill into those events.
3: Admin support for environment setup
Our push to make the admin experience smooth is going strong:
- Docs: On-prem and need to setup RHEL for GPUs? See our new RHEL 7.6 guide! Likewise, we refreshed our optional Ubuntu bootstrap guide .
- Scripts: Reference configuration and migration scripts are now in etc/scripts, and we’ll keep updating them over the next few months
- Some docker-compose versions struggled with $PWD in docker-compose.yml, which has been worked around
- Custom ontologies now support column names with special characters, which is especially useful for nested structures such as mapping “account.userID => user”. This involves a breaking change in the schema for custom colTypes.
Read the release notes for further details.
Curious to uplevel your Azure or AWS analytics experience with GPU visual graph analytics and investigation automation? Try Graphistry in your Cloud Marketplace!