In this tutorial we will use the CloudWatch datasource in Grafana to create dashboards on our CloudWatch Metrics in AWS. What can we expect in this post If you follow along, by the end of this tutorial you will be
AWS
A collection of 46 posts
Snapshot and Restore Indices on Elasticsearch
Tutorial on how to create Snapshots on Elasticsearch using AWS S3 and how to restore your cluster from a Snapshot
How to Setup VPC Peering on AWS
Follow @ruanbekker [https://twitter.com/ruanbekker?ref_src=twsrc%5Etfw] In this tutorial I will demonstrate how to create a VPC Peering Connection between Two AWS Accounts and how to route traffic between them and then show you how we
Migrate your AWS Node.js Lambda Function to OpenFaaS
OpenFaaS Logo | Source: openfaas.comIn this tutorial we will look how to migrate your AWS Lambda [https://aws.amazon.com/lambda/] function (Node.js) to OpenFaaS [https://www.openfaas.com] Why Migrate to OpenFaas? Cloud Functions are awesome as it
Getting Started with Serverless on AWS with SAM
In this tutorial I will be demonstrating a Hello-World Python Serverless Application using AWS SAM (Serverless Application Model). SAM is a open-source framework that allows you to build serverless applications on the AWS Cloud. Serverless might familiar to most, but
Using OpenFaas with Amazon DynamoDB
See how easy it is to use OpenFaaS with Amazon DynamoDB
Setup a Logstash Server for Amazon Elasticsearch Service and Auth with IAM
As many of you might know, when you deploy a ELK stack on Amazon Web Services, you only get E and K in the ELK stack, which is Elasticsearch and Kibana. Here we will be dealing with Logstash on EC2.
Parallel Processing on AWS Lambda with Python using Multiprocessing
If you are trying to use multiprocessing.Queue or multiprocessing.Pool on AWS Lambda, you are probably getting the exception: [Errno 38] Function not implemented: OSError sl = self._semlock = _multiprocessing.SemLock(kind, value, maxvalue) OSError: [Errno 38] Function not implemented
Subscribe to Sysadmins
Subscribe today and get access to a private newsletter and new content every week!