SSL/TLS connection issue troubleshooting guide
You may experience exceptions or errors when establishing TLS connections with Azure services. Exceptions are vary dramatically depending on the client and server types. A typical ones such as "Could not create SSL/TLS secure channel." "SSL Handshake Failed", etc. In this article we will discuss common causes of TLS related issue and troubleshooting steps.
Connect to Azure Cache for Redis using SSL Port 6380 from Linux VM
Scenario: You are using a Linux VM and you want to connect to Azure Cache for Redis using SSL Port 6380. Action: You can connect to Azure Cache for Redis using SSL Port with the help of Stunnel and Redis-cli. The steps are as follows: Step 1: Install the Redis-cli tool in your Linux machine. The command is as below: sudo apt-get update sudo apt-get install redis-tools Note: redis-tools package has redis-cli tool as well among other tools. Step 2: Since the redis-cli doesn’t support SSL port (6380), we can make use of stunnel to connect to Azure Cache for Redis using SSL port. We have version 4 of the utility, called stunnel4 which can be installed using the below command: sudo apt-get install stunnel4 Note: If you want to run the Redis using non SSL port 6379, in that case you do not need stunnel and you can directly access using the below command provided non-ssl port is open in Azure Cache for Redis: redis-cli -p 6379 -a <Your Access Key for Azure Cache for Redis> -h < yourcachename.redis.cache.windows.net> Step 3: To configure the service to start at booting, you must modify the /etc/default/stunnel4 file using the below command: sudo nano /etc/default/stunnel4 This opens a file where you have a variable ‘ENABLED’ which must be set to 1 to enable the service to start as shown below: You can save the changes with CTL+X and then pressing ENTER. Step 4: We need to configure the Azure Cache for Redis for redis-cli which must be mentioned in Redis configuration file of stunnel. Execute the below command: sudo nano /etc/stunnel/redis.conf This creates a new file where add the following entry and insert the actual name of your Azure Cache for Redis in place of yourcachename. [redis-cli] client = yes accept = 127.0.0.1:6380 connect = yourcachename.redis.cache.windows.net:6380 Save the file. Step 5: Now, we have configured the stunnel and hence need to restart the service which can be done with the help of below command: sudo systemctl restart stunnel4.service Step 6: If you check the services listening for connections on your Redis, you should see stunnel listening on port 6380 as below: sudo netstat -plunt Step 7: Now you can connect to Azure Cache for Redis using SSL port with the help of Redis-cli. Below is the command: redis-cli -p 6380 -a <Your Access Key for Azure Cache for Redis> You can see that Redis gets connected successfully and you will be able to perform operations on Azure Cache for Redis: Hope this helps!Introducing Vector Search Similarity Capabilities in Azure Cache for Redis Enterprise
The latest wave of generative AI, like large language models, has paved the way for significant advancements in the utilization of vector embeddings and vector similarity search. Large language models, such as OpenAI's GPT, are capable of learning complex patterns and representations from vast amounts of text, enabling them to generate rich semantic embeddings for words, sentences, and documents. By leveraging these learned embeddings, developers can now harness the power of vector similarity search, revolutionizing the way information is organized, retrieved, and analyzed in various domains, including fraud detection, recommendation systems, and information retrieval.Improving Web Application Performance Using Azure Cache for Redis
We recently released the Web App + Database and Cache in Azure portal | Create a resource for easily creating an Azure Cache for Redis with a Web App and a database. Adding Azure Cache for Redis to your web application can obliterate bottlenecks and provide a consistently fast and responsive user experience by caching the frequently accessed information to avoid the overhead of expensive API calls and database interactions. Try out adding Azure Cache for Redis to your web application today and see how much faster your app will run!
