Thursday, November 16, 2017

Why Use Containers for Microservices?

Microservices deliver three benefits: speed to market, scalability, and flexibility.

Speed to Market
Microservices are small, modular pieces of software. They are built independently. As such, development teams can deliver code to market faster. Engineers iterate on features, and incrementally deliver functionality to production via an automated continuous delivery pipeline.

At web-scale, it's common to have hundreds or thousands of microservices running in production. Each service can be scaled independently, offering tremendous flexibility. For example, let's say you are running IT for an insurance firm. You may scale enrollment microservices during a month-long open enrollment period. Similarly, you may scale member inquiry microservices at a different time E.g., during the first week of the coverage year, as you anticipate higher call volumes from subscribed members. This type of scalability is very appealing, as it directly helps a business boost revenue and support a growing customer base.

With microservices, developers can make simple changes easily. They no longer have to wrestle with millions of lines of code. Microservices are smaller in scale. And because microservices interact via APIs, developers can choose the right tool (programming language, data store, and so on) for improving a service.

Consider a developer updating a security authorization microservice. The dev can choose to host the authorization data in a document store. This option offers more flexibility in adding and removing authorizations than a relational database. If another developer wants to implement an enrollment service, they can choose a relational database its backing store. New open-source options appear daily. With microservices, developers are free to use new tech as they see fit.
Each service is small, independent, and follows a contract. This means development teams can choose to rewrite any given service, without affecting the other services, or requiring a full-fledged deployment of all services.

This is incredibly valuable in an era of fast-moving business requirements.

Monday, November 13, 2017

What is Flocker

Flocker is an open-source Container Data Volume Manager for your Dockerized applications. By providing tools for data migrations, Flocker gives ops teams the tools they need to run containerized stateful services like databases in production. Flocker manages Docker containers and data volumes together.

Container Ecosystem

Serverless Computing is ideal for IoT with Edge & Cloud Computing

Sunday, November 12, 2017

Serverless Computing for Microservices

Microservices is a new architecture of developing software. Microservices is best defined as:

"Service Oriented Architecture composed of loosely coupled components that have clearly defined boundaries"

This can be interpreted a set of software functions that work together based on predefined rules for example take a restaurant website. A typical restaurant website does not have high traffic all through the day, and traffic increases during lunch & dinner time. So having this website on a dedicated VM is a waste of resources. Also the website can be broked down into few distinct functions. The main webpage would be the landing zone, and from there each section like Photos, Menu, Location, etc., could be another independent function. The user triggers these funtions by clicking on the hyperlinks - and users will be served with the requested data.

This implies no coupling or loosely coupled functions that make up the entire website and each funtion can be modified/updated independently. This implies, the business owner can independently - without the need to bringdown the entire website.

From cost prespective also, building a website with Function-as-a-Service - allows the business to pay for the actual usage and each segment of the site can scale independently.