This article is part two of a three-part series on using Heroku Managed Data products from within a Salesforce Function. In part one, we focused on Salesforce Functions with Heroku Postgres. In part two, we’ll explore Salesforce Functions with Heroku Data for Redis. Finally, in part three, we’ll cover Salesforce Functions and Apache Kafka on Heroku.

Introduction to Core Concepts
What Is a Salesforce Function?
A Salesforce Function is a custom piece of code used to extend your Salesforce apps or processes. The custom code can leverage the language and libraries you choose while being run in the secure environment of your Salesforce instance.

Natural language processing (NLP) has come a long way in recent years, and ChatGPT is playing a major role in its evolution. For those unfamiliar, ChatGPT is a chatbot platform that uses the power of artificial intelligence (AI) and machine learning (ML) to enable natural, human-like conversations with users. With ChatGPT, businesses and organizations can provide quick, accurate, and personalized responses to customer inquiries, improving the overall customer experience and streamlining operations.
In this article, we’ll explore how ChatGPT is revolutionizing the world of NLP, and how it’s being used by businesses and organizations across various industries. We’ll also delve into the benefits and limitations of ChatGPT, and discuss its potential impact on the future of NLP.

Companies have started recognizing software as a strategic corporate asset to combat cutthroat competition. Today, modernization is no longer solely the concern of software-centric organizations. The approach also spans multiple functions, including sales, HR, and core IT, to name just a few.
Here are a few myths that prevent organizations from recognizing the need to modernize their applications and hinder their growth in the long run.

Almost all of the people who respond to my #CyberMentoringMonday tweets each week say that they want to “get into InfoSec” or “become a Penetration Tester;” they rarely choose any other jobs or are more specific than that. I believe the reason for this is that they are not aware of all the different areas within the field of Information Security (InfoSec for short, and “Cyber” for those outside of our industry). I can sympathize; I was in the same position when I joined. I knew three Penetration Testers and lots of Risk Analysts and I had no clue that there were several other areas that may have interested me, or that they even existed. I knew I didn’t want to be a Risk Analyst, so I thought the only other option was pentester. Now I know that is not true at all. This article will detail several other areas within the field of Information Security in hopes that newcomers to our field can find their niche more easily. It will not be exhaustive, but I’ll do my best.

Image by Henry Jiang of Oppenheimer & Co.

The above image shows 8 different potential areas within the field of Information Security according to the author Henry Jiang: Governance, Risk, Career Development, User Education, Standards, Threat Intelligence, Security Architecture, and Security Operations.

Lower costs, an enormous pool of talent, cutting-edge infrastructure, and easier market entry are just some of the perks that come with outsourcing software development. That’s why it’s no surprise that many businesses are looking to software outsourcing companies to expand their operations.
But it’s not smooth sailing all the way. Success in outsourcing requires a solid understanding of communication, management, and budgeting across multiple projects. This is where learning and applying software outsourcing best practices can make all the difference.

Prerequisite
You need an OpenAI account before you can start interacting with ChatGPT. If you haven’t done so already, sign up for an account on OpenAI’s website. 
What Is ChatGPT?

GPT (Generative Pre-training Transformer) is a type of language model developed by OpenAI that uses deep learning techniques to generate human-like text. ChatGPT is a variant of the GPT model that has been specifically trained to engage in conversation with humans. It is able to generate responses to user input by predicting the next word or phrase in a conversation based on the context of the conversation. ChatGPT is an example of a chatbot, which is a computer program designed to mimic human conversation in a chat or messaging interface. ChatGPT can be used for a variety of purposes, including entertainment, customer service, and education.

Innovation in the IT sector provides an opportunity to improve people’s quality of life. Keeping up with developing consumer trends and rapidly shifting customer behavior have been big issues for IT organizations throughout the world as the business has grown dramatically. 
“DevOps” is one of the latest developments in the IT sector. Large and medium-sized companies have already pushed the DevOps movement to reap benefits like increased productivity, low risk, easy maintenance, greater quality, cost-effectiveness, and exceptional outcomes. 

.NET 7 has been released! It’s time for us to dig into its source code and start looking for errors and strange code fragments. In this article, you’ll see comments on our findings from the .NET developers. After all, they know the platform code better than anyone else. Buckle up!
I analyzed the release code of .NET 7. 

For the use cases I am going to describe here, I have two services: courses-service and reviews-service:

Courses-service provides CRUD operations for dealing with courses and instructors.
Reviews-service is another CRUD operations provider for dealing with reviews for courses that are completely agnostic of courses from courses-service. 

Both apps are written in Kotlin using Spring Boot and other libraries. Having these two services, we are going to discuss distributed caching with Hazelcast and Spring Boot and see how we can use user code-deployment to invoke some code execution via Hazelcast on a service. 

With Kubernetes labels, DevOps teams can troubleshoot issues faster, apply configuration changes en masse, and respond quickly to issues. Labels also give crucial insights into your costs, boosting your monitoring, allocation, and management capabilities. Following best practices when using labels helps you realize tremendous benefits from infrastructure visibility and efficient operations. 

Here’s everything you need to know about Kubernetes labels – what they are, how they work, when to use them, and the ten best practices to follow to build a solid labeling strategy.