Jupyter Notebook is an open source web application for Machine Learning and Data Exploration.
In this post I will show you how to connect a Jupyter Notebook to Oracle Autonomous Database and explore the data using Python.
The assumption is we already have a Jupyter notebook sandbox running on Oracle Cloud compute instance.
Continue reading “Connecting Jupyter Notebook to Oracle Autonomous Database”
In this post I will show you how you can setup Autonomous DB monitoring in Oracle Management Cloud (OMC) in under 5 minutes.
STEP 1 You will need to obtain your OCI User Information associated with your Autonomous Database (ADB) instances from the OCI Console.
Click on the user icon in top right hand corner of OCI console. Select User Settings On the User Details page, make a copy of the User OCID In addition to this, make a copy of the API Key Fingerprint.
STEP 2 You will need to obtain your OCI Tenant Information associated with your Autonomous Database instances from the OCI Console.
Navigate to Administration > Tenancy Details On the Tenancy Information page, make a Copy of the Tenancy OCID.
HINT: If OCID is hidden, you can click on Show to display entire value if you wish.
STEP 3 In another browser session, launch the OMC Console.
HINT: If the side menu does not appear, click on menu icon
STEP 4 From the side menu, navigate to:
Select Administration Select Discovery Select Cloud Discovery Profile
STEP 5 On the Cloud Discovery Profiles Page: Click on + Add Profile
The Add Discovery Profile Page will appear.
Specify a Profile Name (eg. ADWPROFILE1) Choose Cloud Service Provider Oracle Cloud Infrastructure Click + Add Select Region (eg. Frankfurt) Select Services (eg. Autonomous Data Warehouse) Enter Credential Name (eg. ADWCRED) Enter User OCID (eg. ocid1.user.oc1.xxxxx) Enter Tenancy OCID (eg. ocid1.tenancy.oc1.xxxxx) Enter the associated Private key with user API Key Enter the Fingerprint (eg. nn:nn:nn:nn:nn:nn:nn) Click on Start Discovery
STEP 6 On the Cloud Discovery Profiles Page, wait for discovery to complete.
Click on the Job Status Count Verify that the Service was completed successfully
This completes the setup. Now you are ready to start monitoring and managing your Autonomous Database in OMC.
Click here here for more.
You probably heard that
Oracle Autonomous Database (ADB) leverages machine learning to automate with traditional infrastructure related database administration tasks such as security, backups and patching.
No matter how well designed your database infrastructure is, performance and issues relating application or external components which make up the application ecosystem can still have an impact on end user response time or availability.
Continue reading “Why Would you Monitor an Autonomous Database?”