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AWS Glue

2024-11-14T07:21:38+00:00

Bookmarks Use Cases Concepts Populating the AWS Glue Data Catalog Authoring Jobs Glue DataBrew Monitoring Security Pricing Validate Your Knowledge AWS Glue Cheat Sheet A fully managed service to extract, transform, and load (ETL) your data for analytics. Discover and search across different AWS data sets without moving your data. AWS Glue consists of: Central metadata repository ETL engine Flexible scheduler Use Cases Run queries against an Amazon S3 data lake You can use AWS Glue to make your data available for analytics without moving your data. Analyze [...]

AWS Glue2024-11-14T07:21:38+00:00

Managing Amazon GuardDuty Security Findings Across Multiple Accounts

2023-05-02T05:23:52+00:00

In our previous article, we discussed how GuardDuty can help organizations monitor their workloads and  AWS accounts from malicious activities and how to monitor findings with Amazon CloudWatch Events. Imagine that your organization has multiple AWS accounts for different workloads, teams, and projects. With every account, you need to monitor GuardDuty findings individually. It will be quite difficult for your security team to monitor these findings with their constant switching between AWS accounts.  Amazon GuardDuty supports the consolidation of these findings to one AWS account. For example, your organization has 10 AWS accounts. All you have to do is to [...]

Managing Amazon GuardDuty Security Findings Across Multiple Accounts2023-05-02T05:23:52+00:00

Monitoring GuardDuty Findings with Amazon CloudWatch Events

2023-05-27T08:47:29+00:00

Large scale cyber attacks are now becoming normal in this age of interconnectivity. As we rely more and more on cloud technologies, companies are looking to tap into digital innovations to improve their businesses. Cyber attacks are costing companies millions of dollars of downtime not to mention the possibility of lawsuits whenever an attack occurs. It is imperative that security teams have the means to prevent, detect, and take actions to ensure that the security of their workloads in AWS are airtight. Amazon GuardDuty was released during the 2017 re:Invent conference. Amazon GuardDuty is an agentless threat detection service that [...]

Monitoring GuardDuty Findings with Amazon CloudWatch Events2023-05-27T08:47:29+00:00

Aurora Serverless Tutorial Part 2

2023-05-27T08:37:50+00:00

In the first part of this tutorial, we gave a walkthrough on Aurora Serverless and its use case. You can read the article here. For this tutorial, we will do some hands-on training and create an Aurora Serverless database. Creating an Aurora Serverless Database: 1. Open the AWS console and go to RDS. Click the button “Create database”. 2. Choose Amazon Aurora. You can either choose MySQL or PostgreSQL compatibility. In this tutorial, we will use MySQL compatibility. As of this writing, there are two versions of MySQL that Aurora serverless supports. Under the Database Features, select serverless. 3. Under [...]

Aurora Serverless Tutorial Part 22023-05-27T08:37:50+00:00

Aurora Serverless Tutorial – Part 1

2023-06-02T02:06:31+00:00

What is Aurora Serverless?  Before we get into it, let us briefly define Aurora and serverless first. Aurora is a fully managed, closed source relational database that is compatible with MySQL and PostgreSQL. According to Amazon, it is five times faster than the standard MySQL and three times faster than PostgreSQL. It uses a distributed architecture that provides fault tolerance and high availability.  Serverless is a technique in the cloud that follows the ‘pay-per-use’ model. As opposed to its name, serverless does not mean not using ‘servers’. There is no magic in it. It still uses a physical server that [...]

Aurora Serverless Tutorial – Part 12023-06-02T02:06:31+00:00

Google BigQuery vs BigTable

2023-06-02T02:10:51+00:00

BigQuery BigTable BigQuery is Google Cloud's fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real-time. You can use bq command-line tool or Google Cloud Console to interact with BigTable. You can access BigQuery by using the Cloud Console, by using the bq command-line tool, or by making calls to the BigQuery REST API using a variety of client libraries such as Java, .NET, or Python. A dataset is contained within a specific project. Datasets are top-level containers that are used to organize and control access to your tables [...]

Google BigQuery vs BigTable2023-06-02T02:10:51+00:00

Google Cloud Functions vs App Engine vs Cloud Run vs GKE

2023-06-02T02:44:34+00:00

Serverless compute platforms like Cloud Functions, App Engine, and Cloud Run lets you build, develop, and deploy applications while simplifying the developer experience by eliminating all infrastructure management. On the other hand, Google Kubernetes Engine (GKE) runs Certified Kubernetes that helps you facilitate the orchestration of containers via declarative configuration and automation. Both Google serverless platforms and GKE allows you to scale your application based on your infrastructure requirement. Here’s a table to help you identify when to use these specific services. Cloud Functions App Engine Cloud Functions is a fully managed, serverless platform for creating stand-alone functions that respond [...]

Google Cloud Functions vs App Engine vs Cloud Run vs GKE2023-06-02T02:44:34+00:00

Google Cloud Storage vs Persistent Disks vs Local SSD vs Cloud Filestore

2023-04-11T13:00:47+00:00

Google Cloud Storage Persistent Disks Local SSD Cloud Filestore Cloud Storage is a service for storing your objects in Google Cloud. An object is an immutable piece of data consisting of a file of any format. You store objects in containers called buckets. You specify a location for storing your object data when you create a bucket. You can either select region, dual-region, and multi-region as location. Objects stored in a multi-region or dual-region are geo-redundant. Cloud Storage offers different storage classes for various storage requirements: Standard, Nearline, Coldline, and Archive. GCS offers unlimited storage with no minimum object size. [...]

Google Cloud Storage vs Persistent Disks vs Local SSD vs Cloud Filestore2023-04-11T13:00:47+00:00

Google Compute Engine vs App Engine

2023-04-11T12:54:47+00:00

Google Compute Engine Google App Engine Compute Engine delivers configurable virtual machines running in Google's data centers with access to high-performance networking infrastructure and block storage solutions. App Engine is a fully managed, serverless platform for developing and hosting web applications at scale. Delivered as Infrastructure-as-a-Service (IaaS) Delivered as Platform-as-a-Service (PaaS) Supported Languages: Any Supported Languages: Go, Python, Java, Node.js, PHP, Ruby (.Net and Custom runtimes for Flexible Environment) A machine type is a set of virtualized hardware resources available to a virtual machine (VM) instance, including the system memory size, virtual CPU (vCPU) count, and persistent disk limits. In [...]

Google Compute Engine vs App Engine2023-04-11T12:54:47+00:00

Google Cloud Build

2023-04-02T02:37:16+00:00

Google Cloud Build Cheat Sheet Build, test, and deploy on Google Cloud Platform’s serverless CI/CD platform. Features Cloud build is a fully serverless platform that helps you build your custom development workflows for building, testing, and deploying. Cloud Build can import source code from: Cloud Storage Cloud Source Repositories GitHub Bitbucket Supports Native Docker. You can import your existing Docker file. Push images directly to Docker image storage repositories such as Docker Hub and Container Registry. You can also automate deployments to Google Kubernetes Engine (GKE) or Cloud Run for continuous delivery. Automatically performs package vulnerability scanning for vulnerable images [...]

Google Cloud Build2023-04-02T02:37:16+00:00

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