Buy me a coffee (or wine)In this post, we will create a Lambda function which can write to the Amazon DynamoDB table. For this, we will create a table, modify existing function and set up IAM roles. Log in to your AWS account and let’s get started!
Amazon DynamoDB introduction
This post is the second one in series about Amazon Web Services first steps howtos.
I believe that traditional guides like AWS Certification preparation and Linux Academy don’t give the information in proper order, so here I give it in the format and the way how I give it to my colleagues at Babbel.
This post gives you an introduction to the DynamoDB and prepares a ground for the next practical lesson.
Amazon Lambda + API Gateway introduction
Hi everyone,
I just started AWS Learning Sessions in the company, I’m currently working in, and want to share with you our first lesson.
We have built small Lambda function, named Greeter, and integrated it to the AWS API Gateway.
If you want to get started with this tools and get some hands-on experience – this article will help you.
Chop-chop, MongoDB! Leveraging indexes power. Part 3. Text indexes
Hey folks! Today we will try to find some text in our collection. And then we will add text indexes there and behold, how it become better (or not). Let’s grab a beer and start.
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Chop-chop, MongoDB! Leveraging indexes power. Part 2. Multikey indexes
Hello boys and girls, looking forward to know more about MongoDB indexes?
Today we’ll talk about Multikey indexes. Yeah, only about them because it’s quite a big topic. I also wanted to cover text indexes, but they are too cool to talk about them in the same post, they deserve their own %)
So let’s start!
Chop-chop, MongoDB! Leveraging indexes power. Part 1
As you may know, PostgreSQL provides you four index types: B-tree, Hash, GiST and GIN. They all named the way that if you don’t know ’em you’ll never get which one do you need. In MongoDB indexes are named in a more human-readable way. Here they are:
1. Single field index.
2. Compound index.
3. Multikey index.
4. Text index.
5. Hashed index.
6. 2dsphere, 2d, geoHaystack indexes.
Since I’m using Mongo for more than a year now, I worked with few of them and will elucidate you the most commonly used ones.
Introduction to Terraform. Terraform + Github
Not a long time ago I had no idea about what is the tool named Terraform. It was just beyond my bounds of interests and problems. But a month ago I changed a company and then had to deal with it. And guys, it’s wow. It’s so amazing thing so I even started liking DevOps job.
In a few words, it’s a tool to do infrastructure as a code. As they say on their website “Terraform enables you to safely and predictably create, change, and improve production infrastructure”.
In this post, I’ll cover why may you (as a developer or a DevOps) need it and how to get started. Getting started will be not just a hello world, but a real example, you can try right away.
How to install and use PostgreSQL (or whatever you want) using Docker
Today I’ll talk about really trivial thing, but unexpectedly I found myself living without it for a while, but now I started using it and cannot stop anymore %)
The thing is Docker.
Pair programming. Do’s and don’ts. And hows.
Past weeks I was in process of moving to another city and had no time to spend it for cool technical things, but I had a time for past experience reflection. About one thing I used frequently in past time I want to write here. As you can see, the topic is about Pair Programming.
Python for Data Analysis book review
I just finished reading the book Python for Data Analysis. Here I want to share some points which were interesting for me, some examples and also my opinion on this book.