Category: Architecture Design

Software Architecture Design
Architecture Design
Team Techunits

Performance optimization techniques for microservices

Performance optimization is crucial for microservices as it directly impacts user experience and overall system reliability. By carefully analyzing and fine-tuning various aspects of a microservice architecture, organizations can achieve faster response times, reduced latency, improved scalability, optimal cloud resource utilization thus reduce billing.

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MongoDB v/s DocumentDB
Architecture Design
Smitha Crystal

Pros & Cons of MongoDB 4.x vs DocumentDB 4.x

MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need. MongoDB’s document model is simple for developers to learn and use, while still providing all the capabilities needed to meet the most complex requirements at any scale. They provide drivers for 10+ languages, and the community has built dozens more.

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HTTP/2
Architecture Design
Team Techunits

Introduction to HTTP/2

HTTP/2 works very similarly from the client perspective. We can still make GET requests, POST requests etc, and also we are still using a single TCP connection. But here we ended up using this single TCP connection, very efficiently. The client in this scenario , shoves as many requests at the same time into this pipe .This is called multiplexing.

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Protocol Buffers
Architecture Design
Team Techunits

Introduction to Protocol Buffers

A proto file is a schema definition about your messages and your structured data. This proto file will need to be converted to X language file. Google has built a compiler called protoC, to this you will need to feed it, what language you want the output to be, and it will output that equivalent language. If you give javascript, the protoC will give you a javascript equivalent file, in case you give it a python, it will give you a python file with the same schema. That is why it is language neutral.

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Neptune v/s Neo4J
Architecture Design
Smitha Crystal

Comparison of Amazon Neptune v/s Neo4j

A graph database is an optimised database to store highly connected dataset. When the relationships between entities are at the core of data that you are trying to model, graph databases are a natural choice.

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cuDF Blazing SQL
Architecture Design
Smitha Crystal

GPU Accelerated Database Query using cuDF and BlazingSQL

A GPU – Graphics Processing Unit is a specialised processor with dedicated memory that conventionally performs floating point operations (Mathematical) required for rendering graphics. Hence, GPU frees up CPU cycles for other jobs. A GPU is smaller than a CPU but tends to have more logical cores. Which is why – GPU is better equipped to handle this operation as it is able to execute multiple logical operations in parallel.

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REST v/s gRPC
Architecture Design
Smitha Crystal

An extensive comparison between REST & gRPC | Performance should come first

gRPC is an acronym for Google Remote Procedure Call. It uses HTTP/2 protocol , however HTTP is not exposed to the API designer. The information is delivered using protobufs. The client here uses gRPC by having to decide which procedure to call and also uses the code generated stub to make a call and passes the expected parameter values. The client application communicates with the server on a different machine by directly making a method call like it were a local object.

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WebSockets v/s gRPC
Architecture Design
Smitha Crystal

Exclusive comparison between WebSockets and gRPC

Websockets defines an API establishing “socket” connections between a web browser and a server. It is a communication protocol, which allows to open a two-way interactive communication session between the user’s browser and a server. With this API, you can send messages to a server and receive event-driven responses(server side events) without having to poll the server for a reply.

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