Managing Secrets Using AWS Systems Manager Parameter Store and IAM Roles

Managing Secrets Using AWS Systems Manager Parameter Store and IAM Roles

Amazon Web Services(AWS) has an extremely wide variety of services which cover almost all our infrastructure requirements. Among the given services, there is AWS Systems Manager which is a collection of services to manage AWS instances, hybrid environment, resources, and virtual machines by providing a common UI interface for all of them.

Services are divided into categories such as Resource Groups, Insights, Actions and Shared Resource. Among Shared Resources one is Parameter Store, which is our topic of discussion today.

Understanding Node.js Async Flows: Parallel, Serial, Waterfall and Queues

Understanding Node.js Async Flows: Parallel, Serial, Waterfall and Queues

Promises in Javascript has been around since a long time now. It helped solve the problem of callback hell. But as soon as the requirements get complicated with control flows, promises start getting unmanageable and harder to work with.

This is where async flows come to the rescue. In this blog, lets talk about the various async flows used frequently over raw promises and callbacks.

Mesosphere DC/OS Masterclass : Tips and tricks to make life easier

Mesosphere DC/OS Masterclass : Tips and tricks to make life easier

DC/OS is an open-source operating system and distributed system for data center built on Apache Mesos distributed system kernel. As a distributed system, it is a cluster of master nodes and private/public nodes, where each node also has host operating system which manages the underlying machine. 

This blog gives an overview on DC/OS, the cli, various kinds of APIs and also shared some lesser known tips and commands for effectively using DC/OS.

Taking Amazon's Elastic Kubernetes Service for a spin

Taking Amazon's Elastic Kubernetes Service for a spin

With the introduction of Elastic Kubernetes service at re: Invent last year, AWS finally threw their hat in the ever booming space of managed Kubernetes services. In this blog post, we will learn the basic concepts of EKS, launch an EKS cluster and also deploy a multi-tier application on it.

Real Time Analytics for IoT Data using Mosquitto, AWS Kinesis and InfluxDB

Real Time Analytics for IoT Data using Mosquitto, AWS Kinesis and InfluxDB

Internet of things (IoT) is maturing rapidly and it is finding application across various industries. Every common device that we use is turning into the category of smart devices. Smart devices are basically IoT devices. These devices captures various parameters in and around their environment leading to generation of a huge amount of data. This data needs to be collected, processed, stored and analyzed in order to get actionable insights from them. To do so, we need to build data pipeline.

In this blog we will be building a similar pipeline using Mosquitto, Kinesis, InfluxDB and Grafana. We will discuss all these individual components of the pipeline and the steps to build it.

Creating GraphQL APIs using Elixir Phoenix and Absinthe

Creating GraphQL APIs using Elixir Phoenix and Absinthe

GraphQL is a new hype in the Field of API technologies. We have been constructing and using REST API's for quite some time now and started hearing about GraphQL recently. GraphQL is usually described as a frontend-directed API technology as it allows front-end developers to request data in a more simpler way than ever before. The objective of this query language is to formulate client applications formed on an instinctive and adjustable format, for portraying their data prerequisites as well as interactions.

The Phoenix Framework is running on Elixir, which is built on top of Erlang. Elixir core strength is scaling and concurrency. Phoenix is a powerful and productive web framework that does not compromise speed and maintainability. Phoenix comes in with built-in support for web sockets, enabling you to build real-time apps.

In this blog we will explore how to build GraphQL APis for Phoenix/Elixir using Absinthe.

Extending Kubernetes APIs with Custom Resource Definitions (CRDs)

Extending Kubernetes APIs with Custom Resource Definitions (CRDs)

Custom resources definition (CRD) is a powerful feature introduced in Kubernetes 1.7 which enables users to add their own/custom objects to the Kubernetes cluster and use it like any other native Kubernetes objects. In this blog post, we will see how we can add a custom resource to a Kubernetes cluster using the command line as well as using the Golang client library thus also learning how to programmatically interact with a Kubernetes cluster.

As per this article, Custom Resource Definitions are part of a wider effort to refine and enhance Kubernetes as an extensible application platform, factoring everything but the bare essentials out of “core” Kubernetes in favour of modular and maintainable extensibility mechanisms.

In this blog we understand how one can go about writing their own CRDs with a hand-on demonstration.

An Introduction to Asynchronous Programming in Python

An Introduction to Asynchronous Programming in Python

Asynchronous programming is a type of parallel programming in which a unit of work is allowed to run separately from the primary application thread. Asynchronous programming has been gaining a lot of attention in the past few years, and for good reason. Typically Node.js is associated with Asynchronous programming. Although, nowadays other languages including Python do support Asynchronous programming.

This blog acts an introduction to asynchronous programming in Python and explores different ways in which to achieve that.

Jenkins X - a Cloud-Native approach to CI/CD

Jenkins X - a Cloud-Native approach to CI/CD

Jenkins X is a project which rethinks how developers should interact with CI/CD in the cloud with a focus on making development teams productive through automation, tooling and DevOps best practices.

In this blog, we explore Jenkins X, understand how it differs from Jenkins and how to go about building and deploying our first application using it.

A Beginner's Guide to Edge Computing

A Beginner's Guide to Edge Computing

There is a recent trend in change in architecture of the way data is stored and compute is done. Edge computing is one of such phenomena in which either the data or the compute is decentralized and taken to the nearest nodes of the user it can either be smartphone or local region servers.

In this blog we will delve into what Edge Computing really is, it’s various types, and see how it is implemented and managed in the real world.

Deploy serverless, event-driven Python applications using Zappa

Deploy serverless, event-driven Python applications using Zappa

Zappa makes it super easy to build and deploy server-less, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scalingzero downtimezero maintenance - and at a fraction of the cost of your current deployments!

This blog acts a simple tutorial to deploy a sample Django/Python application using Zappa.

Demystifying High Availability in Kubernetes using Kubeadm

Demystifying High Availability in Kubernetes using Kubeadm

Kubernetes allows deployment and management container-based applications at scale. One of the main advantages of Kubernetes is how it brings greater reliability and stability to the container-based distributed application, through the use of dynamic scheduling of containers.  But, how do you make sure Kubernetes itself stays up when a component or its master node goes down?

In this blog we look at the steps to ensure that your kubernetes cluster is always highly available and fault tolerant.