This document provides a brief description of how JMETER can be used with a server-less architecture like AWS. This can be used to evaluate the read/write capacity of the underlying DB, to benchmark the load an application can survive with.
What are AWS Lambdas?
The code written is deployed to AWS lamba over the cloud with one or more lambda functions. A compute service runs the code on our behalf. Continue reading
Over the past few years, the use of Machine Learning to solve complex problems has been increasing. Machine learning (ML) is a field of computer science that gives computer systems the ability to “learn” (i.e. progressively improve performance on a specific task) with data, without being explicitly programmed.
Last year was a good year for the freedom of information, as titans of the industry Google, Microsoft, Facebook, Amazon, Apple and even Baidu open-sourced their ML frameworks. In this blog, let’s explore a framework provided by Apple named Turi Create. Continue reading
This blog details the steps to build, deploy and maintain different versions of Lambda functions across various product stages such as development, testing, staging and production on multiple AWS accounts. Continue reading
One of the most common use cases in Elasticsearch is to create time-based indexes for logs. In this blog, we will see how to create time-based index on run time using NEST (.NET clients for Elastic search).
When it comes to logging, we usually create a log file everyday to isolate the logs and get only the ones relevant for analysis, when required. If we store the logs in a relational database, we commonly have one table. With time, the entries on this table grow and to check the number of records on table, we usually delete the old records from the table at specific interval. Continue reading
What is OCR?
Optical character recognition, Optical character reader or OCR is the process of reading printed or handwritten text and converting them into machine-encoded text. OCR is mainly used in the field of artificial intelligence, pattern recognition, and computer vision.
So how does it work? In simple words, for a computer, an image is nothing but a collection of pixels. In OCR processing, the image is scanned for light and dark areas to identify each character. Continue reading