Algorithms as Microservices

We recently wrote about how the Algorithm Economy and containers have created a fundamental shift in software development. Today, we want to look at the 10 ways algorithms as microservices change the way we build and deploy software.

10 ways the algorithm economy and containers are changing how we build and deploy software today

Peter Sondergaard from Gartner has been the main thought leader of the Algorithm Economy, and how companies can use algorithms to extract value from their data.

Peter Sondergaard Senior Vice President, Gartner “Data is inherently dumb. Algorithms are where the real value lies.”

Google, Facebook, Amazon, Netflix and others are using algorithms to create value, and impact millions of people a day.

Algorithmic intelligence is at the core of today’s most important companies

The algorithm economy and containers allow developers to run algorithms as microservices, which means code can be written in any programming language, and then seamlessly united across a single API.

Three fundamental shifts in technology: ● The Algorithm Economy ● Containers ● Microservices

The algorithm economy enables a marketplace where easy-to-integrate algorithms can be made available and easily stacked together to manipulate data, extract key insights, and solve problems efficiently. 

The Algorithm Economy The next wave of innovation, where developers can produce, distribute, and commercialize their code

Containers wrap applications, services, and their dependencies into a lightweight package that runs like a virtual machine. 

Containers Lightweight virtualization that bundles all the application logic, dependencies, libraries, etc. into a single package running in the cloud

Microservices decouple modules from a monolithic codebase, reducing fragility in the codebase, and ensuring each service acts a smart endpoint.

Microservices An architecture where the various functions of an app are unbundled into a series of decentralized modules, each organized around a specific business capability

When algorithms run as microservices, we ensure code is dependency-free, interoperable, and composable.

Algorithms as containerized microservices ensure interoperability

Code is always live, and available to use without ever having to manage or provision servers. 

Code is always “on,” and can auto-scale in the cloud without ever having to configure, manage, or maintain servers and infrastructure

By running algorithms as microservices, we also allow companies to focus on their data, while the algorithm economy supplies the algorithms needed.

The algorithm economy allows for the building blocks of algorithmic intelligence to be made accessible, and discoverable through marketplaces and communities

The fundamental shift of container technology, the algorithm economy, and algorithms packaged as microservices creates an environment where rapid prototyping has never been easier due to a reduction in the infrastructure needed to build and deploy apps.

Containerizing algorithms as microservices makes code accessible via an API, and hosted on scalable, serverless infrastructure in the cloud

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