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Latest Blogs

The Next Frontier: Container Orchestration

In part 1 of this series on Kubernetes, we discussed how companies like VMware offer the necessary tools to launch, monitor, create and destroy virtual machines. In this post, we review how – much like virtual machines – containers need to be created, monitored, destroyed and relaunched to account for the health of the physical or virtual machines on which they run.

6 ways Moesif API alerts can help your engineering, customer success, and sales teams

The ability to monitor your APIs is an important functionality for any business that is driven by APIs. Beyond API monitoring and observability is the ability to actively create alerts for specific conditions. Moesif is a fantastic platform to utilize alerts with. With our platform, all of your API and user data can be compiled into a single place. it’s a great way to easily configure a wide variety of useful alerts for your REST, GraphQL, and other APIs.

Monitoring Azure API Management with Moesif

API gateways and management platforms like Azure API Management (APIM) are an excellent way to keep your APIs in order. They provide features that every API needs, like API keys, quotas, and caching in a standardized fashion. Your APIs will then behave more homogeneously and can be managed in a central place. They’re also the entry point to your cloud infrastructure and can help you abstract implementation from the interface.

Shiny, new CSS features to get to know

Ever since I started to learn how to code, CSS has excited me. As a very visually rewarding style sheet language, it has always been an instantly gratifying language to work with. The CSS landscape at the moment is ever-changing. There are many new features that have been released recently, so I thought I’d have a look around and summarise those that caught my eye, concisely in this post.

The 11 Best Low-Code Development Platforms

When it comes to app development, low-code is the future. Many companies and organizations are already turning to low-code or no-code solutions for their business-related software needs. While low-code is changing the game when it comes to app development, is low-code really the way to go? And if low-code tools really are the right choice for your organization, how do you go about finding the right platform for your business goals? And what should you even be looking for in a low-code platform?

6 Best Practices for RESTful API Design: Lessons From the Field

Many businesses need to build an API for their customers to use, but many businesses also struggle with making their API easy for customers to use. DreamFactory makes it easier for developers to design RESTful APIs. It builds on the best practices in web-based software development, allowing developers to design RESTful APIs without cumbersome hand-coding. RESTful API design is a critical part of developing APIs, so it’s important to know the best practices for RESTful API design and implementation.

7 Tips for Designing Great API Documentation

API automation is leading the way for data-driven digital transformation. When developers are able to build modern applications for a variety of devices without having to manage server-side code and complexity, and other departments can tap into a well-designed API documentation system instead of a silo of cumbersome, unorganized code bases, your company will be well on its way to an API-first delivery model.

The Ultimate Map to finding Halloween candy surplus

As Halloween night quickly approaches, there is only one question on every kid’s mind: how can I maximize my candy haul this year with the best possible candy? This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources.

Do you want to build an ETL pipeline?

Analysts and data scientists use SQL queries to pull data from the data storage underbelly of an enterprise. They mold the data, reshape it, and analyze it, so it can offer revenue-generating business insights to the company. But analytics is only as good as the material it works with. That is, if the underlying data is missing, compromised, incomplete, or wrong, so will the data analysis and inferences derived from it.