#aws sftp server

[codeonedigest]

Create AWS SFTP Server with Amazon S3 Bucket | Setup SFTP Server in AWS Full Video Link -       https://youtu.be/bgP9rtAH_YQ Check out this new video on the CodeOneDigest YouTube channel! Learn how to create SFTP server in AWS with Amazon S3 bucket and how to control access via IAM role and policy. How to create SFTP server using S3 bucket controlled by SFTP user. #video #sftp #s3 #awss3 #sftpserver #iamrole #policy #codeonedigest@java @awscloud @AWSCloudIndia @YouTube @codeonedigest #aws #sftp #amazonwebservices #awscloud #awstutorial #awstraining #awssftpconnector #awstransferfamily #awstransferfamilys3bucket #awstransferfamilysftpconnector #awssftpserver #amazontransferfamily #amazontransferfamilysftp #sftpfiletransfer #sftpserversetup #createsftpserverinAWS #createsftpserverwithS3bucket #setupsftpserver #awsfiletransferfamily #awss3buckettutorial #awss3tutorial #s3bucketpolicy #iamroleandpolicy #bucket       

[transcuratorsblog]

Web Hosting Best Practices Suggested by Top Development Companies

Behind every fast, reliable, and secure website is a solid web hosting setup. It’s not just about picking the cheapest or most popular hosting provider—it's about configuring your hosting environment to match your website’s goals, growth, and user expectations.

Top development firms understand that hosting is foundational to performance, security, and scalability. That’s why a seasoned Web Development Company will always start with hosting considerations when launching or optimizing a website.

Here are some of the most important web hosting best practices that professional agencies recommend to ensure your site runs smoothly and grows confidently.

1. Choose the Right Hosting Type Based on Business Needs

One of the biggest mistakes businesses make is using the wrong type of hosting. Top development companies assess your site’s traffic, resource requirements, and growth projections before recommending a solution.

Shared Hosting is budget-friendly but best for small, static websites.

VPS Hosting offers more control and resources for mid-sized business sites.

Dedicated Hosting is ideal for high-traffic applications that need full server control.

Cloud Hosting provides scalability, flexibility, and uptime—perfect for growing brands and eCommerce platforms.

Matching the hosting environment to your business stage ensures consistent performance and reduces future migration headaches.

2. Prioritize Uptime Guarantees and Server Reliability

Downtime leads to lost revenue, poor user experience, and SEO penalties. Reliable hosting providers offer uptime guarantees of 99.9% or higher. Agencies carefully vet server infrastructure, service level agreements (SLAs), and customer reviews before committing.

Top development companies also set up monitoring tools to get real-time alerts for downtime, so issues can be fixed before users even notice.

3. Use a Global CDN with Your Hosting

Even the best hosting can’t overcome long physical distances between your server and end users. That’s why agencies combine hosting with a Content Delivery Network (CDN) to improve site speed globally.

A CDN caches static content and serves it from the server closest to the user, reducing latency and bandwidth costs. Hosting providers like SiteGround and Cloudways often offer CDN integration, but developers can also set it up independently using tools like Cloudflare or AWS CloudFront.

4. Optimize Server Stack for Performance

Beyond the host, it’s the server stack—including web server software, PHP versions, caching tools, and databases—that impacts speed and stability.

Agencies recommend:

Using NGINX or LiteSpeed instead of Apache for better performance

Running the latest stable PHP versions

Enabling server-side caching like Redis or Varnish

Fine-tuning MySQL or MariaDB databases

A well-configured stack can drastically reduce load times and handle traffic spikes with ease.

5. Automate Backups and Keep Them Off-Site

Even the best servers can fail, and human errors happen. That’s why automated, regular backups are essential. Development firms implement:

Daily incremental backups

Manual backups before major updates

Remote storage (AWS S3, Google Drive, etc.) to protect against server-level failures

Many top-tier hosting services offer one-click backup systems, but agencies often set up custom scripts or third-party integrations for added control.

6. Ensure Security Measures at the Hosting Level

Security starts with the server. Professional developers configure firewalls, security rules, and monitoring tools directly within the hosting environment.

Best practices include:

SSL certificate installation

SFTP (not FTP) for secure file transfer

Two-factor authentication on control panels

IP whitelisting for admin access

Regular scans using tools like Imunify360 or Wordfence

Agencies also disable unnecessary services and keep server software up to date to reduce the attack surface.

7. Separate Staging and Production Environments

Any reputable development company will insist on separate environments for testing and deployment. A staging site is a replica of your live site used to test new features, content, and updates safely—without affecting real users.

Good hosting providers offer easy staging setup. This practice prevents bugs from slipping into production and allows QA teams to catch issues before launch.

8. Monitor Hosting Resources and Scale Proactively

As your website traffic increases, your hosting plan may need more memory, bandwidth, or CPU. Agencies set up resource monitoring tools to track usage and spot bottlenecks before they impact performance.

Cloud hosting environments make it easy to auto-scale, but even on VPS or dedicated servers, developers plan ahead by upgrading components or moving to load-balanced architectures when needed.

Conclusion

Your hosting setup can make or break your website’s success. It affects everything from page speed and security to uptime and scalability. Following hosting best practices isn’t just technical housekeeping—it’s a strategic move that supports growth and protects your digital investment.

If you're planning to launch, relaunch, or scale a website, working with a Web Development Company ensures your hosting isn’t left to guesswork. From server stack optimization to backup automation, they align your infrastructure with performance, safety, and long-term growth.

[govindhtech]

AWS Transfer Family and GuardDuty Malware Protection for S3

S3 malware protection

Protecting against malware using AWS Transfer Family and GuardDuty

Businesses often must deliver online content safely. Public file transfer servers put the firm at risk from threat actors or unauthorised users submitting malware-infected files. Businesses can limit this risk by checking public-channel files for malware before processing.

AWS Transfer Family and Amazon GuardDuty may scan files transferred over a secure FTP (SFTP) server for malware as part of a transfer operation. GuardDuty automatically updates malware signatures every 15 minutes instead of scanning a container image, avoiding the need for human patching.

Prerequisites

What you need to implement the solution:

AWS account: This solution requires AWS access. If you don't have an AWS account, see Start developing today.

CLI: AWS Command Line Interface Install and link the AWS CLI to your account. Configure AWS account environment variables using your access token and secret access key.

The sample code will be fetched from GitHub using Git.

Terraform: Automation will use Terraform. Follow Terraform installation instructions to download and install.

Solution overview

This solution uses GuardDuty and Transfer Family. Smart threat detection service GuardDuty and secure file transfer service Transfer Family may be used to set up an SFTP server. AWS accounts, workloads, and data are protected by GuardDuty from odd and hazardous activity. The high-level solution uses these steps:

Transfer Family SFTP servers receive user file uploads.

Transfer Family workflows call AWS Lambda to conduct AWS Step Functions workflows.

Workflow begins after file upload.

Partial uploads to the SFTP server trigger an error handling Lambda function to report an error.

After a step function state machine runs a Lambda function to move uploaded files to an Amazon S3 bucket for processing, GuardDuty scans.

Step gets GuardDuty scan results as callbacks.

Clean or move infected files.

The process sends results using Amazon SNS. This might be an alert about a hazardous upload or problem that happened during the scan, or it could be a message about a successful upload and a clean scan that can be processed further.

Architecture and walkthrough of the solution

GuardDuty Malware Protection for S3 checks freshly uploaded S3 things. GuardDuty lets you monitor object prefixes or design a bucket-level malware defence approach.

This solution's procedure begins with file upload and continues through scanning and infection classification. From there, adjust the procedures for your use case.

Transfer Family uploads files using SFTP.

A successful upload starts the Managed Workflow Complete workflow and uploads the file to the Unscanned S3 bucket using Transfer Family. Successful uploads are managed by the Step Function Invoker Lambda function.

The Step Function The invoker starts the state machine and process by calling GuardDuty Scan Lambda.

GuardDuty Scan moves the file to Processing. The scanned files will come from this bucket.

GuardDuty automatically checks uploaded items. This implementation develops a Processing bucket malware prevention strategy.

After scanning, GuardDuty sends Amazon EventBridge the result.

A Lambda Callback function is invoked by an EventBridge rule after each scan. EventBridge calls the method with scan results. See Amazon EventBridge S3 item scan monitoring.

Lambda Callback alerts GuardDuty Scan using callback task integration. The Move File task receives GuardDuty scan results after returning to the Scan function.

If the scan finds no threats, the transport File operation will transport the file to the Clean S3 bucket for further processing.

Move File now posts to Success SNS to notify subscribers.

The Move File function will send the file to the Quarantine S3 bucket for extra analysis if the conclusion suggests that the file is dangerous. To warn the user to the upload of a potentially hazardous file, the function will further delete the file from the Processing bucket and publish a notification in the SNS’s Error topic.

Transfer Family will commence the Managed procedure Partial process if the file upload fails and is not entirely uploaded.

Controlled Workflow The Error Publisher function, which is used to report errors that emerge anywhere in the process, is called by the Partial error handling workflow.

The issue Publisher function detects the type of issue and adjusts the error status appropriately, depending on whether it is due to a partial upload or a problem elsewhere in the process. Then it will send an error message to the SNS Error Topic.

The GuardDuty Scan job has a timeout to broadcast an event to Error Topic if the file isn't scanned, requiring a manual intervention. If GuardDuty Scan fails, the Error clean up Lambda function is invoked.

Finally, the Processing bucket has an S3 Lifecycle policy. This ensures no file stays in the Processing bucket longer than a day.

Code base

The GitHub AWS-samples project implements this method using Terraform and Python-based Lambda functions.This solution may be built with AWS CloudFormation. The code includes everything needed to finish the procedure and demonstrate GuardDuty's malware protection plan and Transfer Family.

Install the fix

Applying this solution to testing.

Clone the repository to your working directory with Git.

Enter the root directory of the copied project.

Customise Terraform locals.tf's S3 bucket, SFTP server, and other variables.

Execute Terraform.

If everything seems good, run Terraform Apply and select Yes to construct resources.

Clear up

Preventing unnecessary costs requires cleaning up your resources after testing and examining the solution. Remove this solution's resources by running the following command in your cloned project's root directory:

This command deletes Terraform-created SFTP servers, S3 buckets, Lambda functions, and other resources. Answer “yes” to confirm deletion.

In conclusion

Follow the instructions in the post to analyse SFTP files uploaded to your S3 bucket for hazards and safe processing. The solution reduces exposure by securely scanning public uploads before sending them to other portions of your system.

[learning-code-ficusoft]

Exploring the Role of Azure Data Factory in Hybrid Cloud Data Integration

Introduction

In today’s digital landscape, organizations increasingly rely on hybrid cloud environments to manage their data. A hybrid cloud setup combines on-premises data sources, private clouds, and public cloud platforms like Azure, AWS, or Google Cloud. Managing and integrating data across these diverse environments can be complex.

This is where Azure Data Factory (ADF) plays a crucial role. ADF is a cloud-based data integration service that enables seamless movement, transformation, and orchestration of data across hybrid cloud environments.

In this blog, we’ll explore how Azure Data Factory simplifies hybrid cloud data integration, key use cases, and best practices for implementation.

1. What is Hybrid Cloud Data Integration?

Hybrid cloud data integration is the process of connecting, transforming, and synchronizing data between:  ✅ On-premises data sources (e.g., SQL Server, Oracle, SAP)  ✅ Cloud storage (e.g., Azure Blob Storage, Amazon S3)  ✅ Databases and data warehouses (e.g., Azure SQL Database, Snowflake, BigQuery)  ✅ Software-as-a-Service (SaaS) applications (e.g., Salesforce, Dynamics 365)

The goal is to create a unified data pipeline that enables real-time analytics, reporting, and AI-driven insights while ensuring data security and compliance.

2. Why Use Azure Data Factory for Hybrid Cloud Integration?

Azure Data Factory (ADF) provides a scalable, serverless solution for integrating data across hybrid environments. Some key benefits include:

✅ 1. Seamless Hybrid Connectivity

ADF supports over 90+ data connectors, including on-prem, cloud, and SaaS sources.

It enables secure data movement using Self-Hosted Integration Runtime to access on-premises data sources.

✅ 2. ETL & ELT Capabilities

ADF allows you to design Extract, Transform, and Load (ETL) or Extract, Load, and Transform (ELT) pipelines.

Supports Azure Data Lake, Synapse Analytics, and Power BI for analytics.

✅ 3. Scalability & Performance

Being serverless, ADF automatically scales resources based on data workload.

It supports parallel data processing for better performance.

✅ 4. Low-Code & Code-Based Options

ADF provides a visual pipeline designer for easy drag-and-drop development.

It also supports custom transformations using Azure Functions, Databricks, and SQL scripts.

✅ 5. Security & Compliance

Uses Azure Key Vault for secure credential management.

Supports private endpoints, network security, and role-based access control (RBAC).

Complies with GDPR, HIPAA, and ISO security standards.

3. Key Components of Azure Data Factory for Hybrid Cloud Integration

1️⃣ Linked Services

Acts as a connection between ADF and data sources (e.g., SQL Server, Blob Storage, SFTP).

2️⃣ Integration Runtimes (IR)

Azure-Hosted IR: For cloud data movement.

Self-Hosted IR: For on-premises to cloud integration.

SSIS-IR: To run SQL Server Integration Services (SSIS) packages in ADF.

3️⃣ Data Flows

Mapping Data Flow: No-code transformation engine.

Wrangling Data Flow: Excel-like Power Query transformation.

4️⃣ Pipelines

Orchestrate complex workflows using different activities like copy, transformation, and execution.

5️⃣ Triggers

Automate pipeline execution using schedule-based, event-based, or tumbling window triggers.

4. Common Use Cases of Azure Data Factory in Hybrid Cloud

🔹 1. Migrating On-Premises Data to Azure

Extracts data from SQL Server, Oracle, SAP, and moves it to Azure SQL, Synapse Analytics.

🔹 2. Real-Time Data Synchronization

Syncs on-prem ERP, CRM, or legacy databases with cloud applications.

🔹 3. ETL for Cloud Data Warehousing

Moves structured and unstructured data to Azure Synapse, Snowflake for analytics.

🔹 4. IoT and Big Data Integration

Collects IoT sensor data, processes it in Azure Data Lake, and visualizes it in Power BI.

🔹 5. Multi-Cloud Data Movement

Transfers data between AWS S3, Google BigQuery, and Azure Blob Storage.

5. Best Practices for Hybrid Cloud Integration Using ADF

✅ Use Self-Hosted IR for Secure On-Premises Data Access  ✅ Optimize Pipeline Performance using partitioning and parallel execution  ✅ Monitor Pipelines using Azure Monitor and Log Analytics  ✅ Secure Data Transfers with Private Endpoints & Key Vault  ✅ Automate Data Workflows with Triggers & Parameterized Pipelines

6. Conclusion

Azure Data Factory plays a critical role in hybrid cloud data integration by providing secure, scalable, and automated data pipelines. Whether you are migrating on-premises data, synchronizing real-time data, or integrating multi-cloud environments, ADF simplifies complex ETL processes with low-code and serverless capabilities.

By leveraging ADF’s integration runtimes, automation, and security features, organizations can build a resilient, high-performance hybrid cloud data ecosystem.

WEBSITE: https://www.ficusoft.in/azure-data-factory-training-in-chennai/

[fromdevcom]

Becoming one of the emerging paradigms in the technological world, Managed Cloud hosting is rapidly moving towards being the most sought after innovation. It is an attraction for business owners because it allows them to initiate from a small vision and considerably build along by adding resources only when there is a rise in service demand. It is scalable, hassle-free and helps you plan accordingly. When talking about Cloud Hosting, we need to have an application that we are going to host on the cloud. In this post, I am going to cover the top 3 cloud hosting platforms for WordPress hosting. Let's get started. A Little PHP Overview PHP is engraved into 79.4% of websites on the Web and is one of the most popular web development languages of all time. Facebook, Wikipedia, Yahoo and Photobucket are some of the popular websites which are developed using PHP. WordPress the most popular CMS is also developed in PHP. WordPress powers 16.6% of the Web alone. Other vastly popular content management platforms like Drupal and Joomla are also based on PHP. Now that we have established that PHP is the most popular web development language, let’s talk about PHP compatible web hosting services. So how many web hosting are there particularly for PHP? Hmmm… every single one of them. And this is not a joke. Every web hosting provider supports PHP, and you can literally host your PHP website or web app developed in PHP at any web host you can imagine. While this abundance seems like a good thing but it creates a choice paradox. With literally thousands of options, it rather gets confusing and unproductive to evaluate and test all of them. This article is here to save your time, we have evaluated and curated the 5 best hosting companies for PHP. Choosing The Right Platform Today, there are a number of web hosting companies that offer Managed WordPress Hosting services over the internet. This makes it all the most difficult to find the best hosting service provider for your WordPress website. To help you find the best host for your WordPress website, I have compiled together a list of the top 3 Cloud based managed hosting service providers. FortRabbit Fortrabbit is a cloud hosting PaaS (platform as a Service) provider dedicated to PHP applications. It offers versatile deployment options with Git, SSH, SFTP and native Composer integration. It is really a heaven for PHP developers as it is purely developer oriented platform. The only downside of it is that it only provides AWS (Amazon Web Services) infrastructure with only two data centre locations for EU and US. User Friendliness & Experience  With Fortrabbit UI panel you can easily deploy and manage your deployed apps. The panel is pretty much self explanatory and you really don't need any support from the staff. However still they can make it better by adding more server locations Pricing The pricing table for Fortrabbit is pretty good and it runs a pay as you go plan so you only pay for what you use and nothing else. It consist of a monthly billing. It also gives a way to select the individual app components and scale them individually which is a really good factor to attract users. Support This is the only feature where Fortrabbit falls a bit short. They really don’t have a technical staff for the free users. You have to be self sufficient to use their services as their support staff cannot reply to your technical queries right away. Reliability & Uptime Fortrabbit uses AWS (Amazon Web Services) infrastructure which is one of the most reliable infrastructure out there. So you can really feel comfortable for the uptime of your website. The only reason this gets a 4 out of 5 rating is that it supports only EU-Ireland and US-Virginia server locations to host on. Cloudways Cloudways is one of the leading Cloud based Hosting Platforms over the internet. It comes with four basic cloud providers (Google, Amazon, DigitalOcean and Vultr) and with many different applications on a single click with a number of configurable options.

Being an intuitive cloud-based WordPress hosting platform that serves novices, bloggers, designers, developers and variable agencies, it is one of the most secure platforms to easily manage and deploy Managed Cloud WordPress Hosting. It uses a unique stack of Apache, Nginx, Memcached and Varnish to optimize your website on different cloud servers. User Friendliness & Experience One of the best user experience that a person can get. Cloudways console is easy yet powerful. Every application is on a single click installation and you don’t need any backend skills to host a PHP application on Cloudways. Pricing Pricing plan for Cloudways, is quite feasible depending on the amount of services that it has to offer to its customers. Although, if you wish to explore you can, but mainly there are six pricing packages at Cloudways and the best thing about Cloudways is that it is a Pay-as-you-Go model which helps you specify the total amount accumulated. Cloudways comes with a free trial period for different cloud providers as well which ranges from 3 days upto 14 days. Support The support at Cloudways is also pretty good and they have a technical staff seated for this specific job. So if you have any technical issues you can ask directly on the 24x7 chat or open a ticket for it which in my experience is replied pretty quickly as well. Reliability & Uptime Cloudways is as reliable as any other web hosting platform. However the uptime varies according to the infrastructure provider that you use. They provide a variety of infrastructure providers which includes the big fishes like Google Compute Engine and Amazon Web Services and the affordable ones like Vultr and DigitalOcean. Pagodabox Pagoda Box is not a traditional hosting environment. It's structured in a way that allows you to manage and scale your entire application simply and easily. Understanding how best to use the provided tools requires a bit of a paradigm shift in how you manage and scale your application. Pagoda Box servers run on the Solaris-based SmartOS operating system. SmartOS is incredibly powerful OS designed and built for highly-concurrent, virtualized environments. However they do not provide any support for custom compiled executables for SmartOS and Pagodabox only offers a private infrastructure. User Friendliness & Experience User friendliness of Pagodabox is improved drastically in pagodabox v2. Very easy to scale your server vertically also features a team member feature. They have managed to bring the v2 a lot better than what it was used to be in v1. However, Pagodabox is still for the coders and a newbie coder still needs help on certain features of the Platform and they still don’t have PHP 7.0 integration available. Pricing A bit on the complicated side the pricing plan for Pagodabox is bit confusing. Application, Database and Storage all have a separate pricing so they add-up and they can be separately scaled which is a good thing but for a new user it can be a thing that could leave him scratching his head. Last but not the least the prices are on a bit higher side compared to other in this list. Support So, this is pretty interesting. They use an IRC channel for a live support in which you won’t get a reply. They do have a ticketing system but I haven’t got enough time to check how frequently they reply to a ticket but judging from their IRC chat it should take at least 15-30 mins. Reliability & Uptime Pagodabox comes with its own OS and infrastructure which at first seems a bit cheesy but it is not. The infrastructure is very well maintained and the SmartOS operating system. The reliability and uptime seems on a better side of the book and you can expect to get a 99.9% uptime on Pagodabox own infrastructure. A2 Hosting A2 Hosting a service provider that is biased towards developers. It should not be wrong to say that it is a heaven for developer as it really provides a plethora of dev tools. It is another hosting service that uses a private server rather than integrating it with other infrastructure providers.

User Friendliness & Experience Another well planned hosting service. The user friendliness and experience of A2 hosting is of top notch. They also uses a cpanel for the interface between the server and the user and integrating different application directly from there on a single click. Pricing A2 hosting provides a lot of hosting services, so the pricing plans vary accordingly. Compared to other hosting services like it, A2 has a pretty good pricing plan their lowest managed dedicated server costs 141.09$ and it doesn’t stop there. They have a plan for everyone so don’t worry you can easily get your required server in your budget. Support So much for the Guru Crew Support. Their support is quick but not very technical for a technical support you should look for their ticketing system. However overall their support was ok. They have a cpanel so you don’t need much support but if you do you can be sure to get a reply if not from chat then open a ticket and your query will be solved. Reliability & Uptime Their reliability and uptime is as good as any other hosting solution like it. They provide a private infrastructure which they boast to have an uptime of 99.9% and that is what we have experienced. BlueHost Bluehost is a web hosting company owned by Endurance International Group. Bluehost is one of the most popular hosting solutions out there. A hosting solution provider which is in the market for quite a long now. Being one of the oldest it should grow better however the support and uptime of bluehost tells you an entirely different story of their current services. Even though being cheaper they are loosing a lot of customers due to ill managed services. User Friendliness & Experience User experience is good and friendly as they use cpanel integration for it and it is good when it comes to use experience. You can easily monitor, scale and add new application on a single click. Pricing Pricing is their strongest points as they have one of the lowest rates in the market and it is really hard to compete with their prices. The smallest server that you can get costs only 3.49$ which is pretty low compared to other such plans. Support Bluehost has really lost their customers on this feature. Their support seems to care about nothing and most important the support staff is not technical. Moreover the wait time is over 30 mins for you to start a chat that is pretty bizarre. Reliability & Uptime Bluehost is big but going big is the easy part retaining your users and giving them the better user experience than before is where the hard part comes in. Bluehost’s server uptime is bad and with bad I mean really bad. What good a server is when your website is having a long downtimes while their support has no answers for it. Conclusion So to conclude my thoughts I would say it depends on your needs and your pocket. If you need a hosting provider that covers you from all around and gives you the best managed services with awesome prices then go with Cloudways. If you prefer a more dev oriented hosting platform for PHP where pricing is not the issue, then go with A2 Hosting. Ahmed Khan is the PHP Community Manager at Cloudways, a hosting company that specializes in optimized PHP hosting services.. He writes about PHP, MySQL and covers different tips and tricks related to PHP. He is currently active on Cloudways and other different blogs. When he is not writing about PHP, he likes watching The Flash, Game Of Thrones and is a die-hard fan of DC Comics. You can follow him on Twitter or connect with him on Facebook.

[kirankumar166]

Dell Boomi Architect Resume

Crafting a Winning Dell Boomi Architect Resume

As a seasoned Dell Boomi Architect, your resume serves as the gateway to exciting new opportunities in cloud-based integration. In the competitive iPaaS (Integration Platform as a Service) landscape, a standout resume is essential to attract top recruiters and hiring managers. Let’s dive into how to make your resume shine.

Key Sections to Highlight

Summary Statement: This is your elevator pitch. Concisely communicate your years of experience as a Dell Boomi Architect, top skills (Boomi process building, API management, EDI, connectors), and relevant industry expertise.

Technical Skills:  Showcase your Boomi mastery and other complementary technologies:

Dell Boomi: Emphasize your proficiency in Boomi Process Design, API Management, EDI, Master Data Hub, Flow, and AtomSphere concepts.

Web Services: REST, SOAP, XML, JSON

Connectors: Database connectors (SQL, Oracle, etc.), Application connectors (Salesforce, NetSuite, SAP, Workday, etc.), Technology connectors (FTP, SFTP, HTTP, etc.)

Programming Languages (if applicable): JavaScript, Java, Groovy

Cloud Platforms (optional): AWS, Azure, Google Cloud Platform

Professional Experience: List your roles in reverse chronological order. For each position:

Company Name, Location, Dates

Job Title: Dell Boomi Architect, Senior Integration Architect, etc.

Certifications: Demonstrate your commitment to continuous learning with Boomi certifications and any other relevant credentials.

Industry Expertise:  Highlight experience in healthcare, finance, manufacturing, or logistics to tailor your resume for desired roles.

Tips to Power Up Your Resume

Action Verbs: Use strong action words like “designed,” “implemented,” “architected,” “optimized,” and “troubleshot.”

Keywords: Weave in industry-relevant keywords employers are likely to search for.

Metrics: Quantifiable achievements demonstrate your impact.

Tailoring: Customize your resume for each job application by aligning skills and achievements with the specific requirements.

Sample Resume Excerpt

Summary:

“Highly accomplished Dell Boomi Architect with 8+ years of experience architecting and delivering robust cloud integration solutions across healthcare, e-commerce, and supply chain domains. Proven track record in designing scalable Boomi solutions that drive efficiency and automation.”

Technical Skills:

Dell Boomi AtomSphere, Process Building, API Design & Management, EDI, SOAP, REST, JSON, XML, JavaScript, SaaS Connectors (Salesforce, NetSuite, Workday), Database Connectors (MySQL, SQL Server), AWS

Certifications:

Dell Boomi Professional Developer

AWS Certified Solutions Architect – Associate

Let’s Get Practical: Next Steps

Reflect: Analyze your past projects and quantify your achievements.

Build: Start drafting your resume, focusing on structure and keywords.

Tailor: Research target job postings and refine each version of your resume.

Proofread: Meticulously review for any errors.

With careful crafting and attention to detail, your Dell Boomi Architect resume will stand out and open exciting new doors!

You can find more information about Dell Boomi in this  Dell Boomi Link

 

Conclusion:

Unogeeks is the No.1 IT Training Institute for Dell Boomi Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on  Dell Boomi here – Dell Boomi Blogs

You can check out our Best In Class Dell Boomi Details here – Dell Boomi Training

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[kirnakumar155]

Dell Boomi Connectors

Dell Boomi Connectors: The Key to Seamless Integration

In today’s complex technological landscape, businesses rely on various applications and systems to operate efficiently. However, ensuring seamless communication between these disparate systems can be a significant challenge. That’s where Dell Boomi connectors come into play. These powerful tools provide a bridge between different applications, enabling smooth data flow and automation of critical business processes.

What are Dell Boomi Connectors?

Dell Boomi connectors are pre-built integration components that facilitate the connection between various applications, data sources, and technologies. They simplify integrating systems, eliminating the need for complex custom coding. Boomi offers a vast library of connectors to popular applications like:

Cloud-based applications: Salesforce, Workday, NetSuite, AWS, Google Suite

On-premises applications: SAP, Oracle, Microsoft Dynamics

Databases: SQL Server, MySQL, Oracle Database

Protocols: HTTP, FTP, SFTP, SOAP, and more

How Do Dell Boomi Connectors Work?

Boomi connectors act as translators between different systems. They understand the specific data formats and communication protocols used by each application. Here’s how they work:

Connection: Using authentication credentials, the connector establishes a secure connection to the target application or system.

Data Mapping: The connector allows you to define how data fields from one system should map to fields in the other system, ensuring data compatibility.

Data Transformation: If necessary, the connector can perform data transformations to match the requirements of the target system (e.g., date formatting, currency conversion).

Data Transfer: The connector seamlessly transfers data between the connected systems based on your defined integration process.

Benefits of Using Dell Boomi Connectors

Accelerated Integration: Pre-built connectors save significant time and development effort compared to custom coding integrations.

Reduced Complexity: Connectors abstract the technical complexities of connecting to various systems, making integration more accessible.

Scalability: The Boomi platform can handle large volumes of data and support complex integration scenarios as your business grows.

Improved Efficiency: Connectors enhance business process efficiency by automating data flow and eliminating manual errors.

Enhanced Data Visibility: Centralized integration in Boomi provides a single view of your data across all connected systems.

Use Cases for Dell Boomi Connectors

Here are common scenarios where Boomi connectors are invaluable:

Customer 360-degree view: Integrate CRM data with ERP and marketing systems for a holistic understanding of customers.

Order-to-cash automation: Streamline order data flow from e-commerce platforms to fulfillment and accounting systems.

Lead-to-opportunity synchronization: Connect marketing automation platforms with your CRM to track leads effectively.

Hybrid cloud integration: Integrate on-premises systems with cloud-based applications for seamless data exchange.

Real-time data synchronization: Enable real-time updates across systems for better decision-making.

Getting Started with Dell Boomi Connectors

To leverage Dell Boomi connectors:

Sign up for a Dell Boomi account.

Explore the connector library and select the connectors relevant to your integration needs.

Configure the connectors with the necessary authentication credentials and settings.

Build your integration processes using the intuitive drag-and-drop interface.

In Conclusion

Dell Boomi connectors are essential tools for businesses looking to streamline their integrations and unlock the full potential of their applications. By providing a quick and reliable way to connect disparate systems, Boomi connectors drive efficiency, improve data accuracy, and give organizations the agility they need to thrive in a digital world.

You can find more information about Dell Boomi in this  Dell Boomi Link

 

Conclusion:

Unogeeks is the No.1 IT Training Institute for Dell Boomi Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on  Dell Boomi here – Dell Boomi Blogs

You can check out our Best In Class Dell Boomi Details here – Dell Boomi Training

Follow & Connect with us:

———————————-

For Training inquiries:

Call/Whatsapp: +91 73960 33555

Mail us at: info@unogeeks.com

Our Website ➜ https://unogeeks.com

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Facebook: https://www.facebook.com/UnogeeksSoftwareTrainingInstitute

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[deltainfoteklive]

AWS Data Engineer Interview Questions and Answers

As the world rapidly moves towards data-driven decision-making, AWS Data Engineers are in high demand. Organizations are seeking professionals skilled in managing big data, building data pipelines, and leveraging AWS services to support their analytics and machine learning needs. If you are aspiring to become an AWS Data Engineer or have an upcoming interview, you've come to the right place! In this article, we have compiled a list of essential interview questions and expert answers to equip you for success. AWS Data Engineer Interview Questions and Answers 1. Tell us about your experience with AWS services for data management. LSI Keywords: AWS data services, data management experience As an AWS Data Engineer, you will work extensively with various AWS data services. Mention any relevant experience you have with services like Amazon S3, Amazon Redshift, AWS Glue, and AWS Data Pipeline. Highlight any projects where you built data pipelines or implemented data warehousing solutions. 2. What are the key components of AWS Data Pipeline? LSI Keywords: AWS Data Pipeline components AWS Data Pipeline facilitates the automation of data movement and transformation. The key components are: - Data Nodes: Represent data sources and destinations. - Activity Nodes: Execute operations on data like data transformation or data processing. - Preconditions: Conditions that must be met before an activity can run. - Schedule: Specifies when the pipeline runs. - Resources: Compute resources to be used during data processing. 3. How do you ensure the security of data in Amazon S3? LSI Keywords: Amazon S3 security, data encryption Data security is crucial, and AWS provides several mechanisms to secure data in Amazon S3: - Access Control Lists (ACLs): Define who can access individual objects. - Bucket Policies: Set access permissions at the bucket level. - AWS Identity and Access Management (IAM): Manage access to AWS resources. - Server-Side Encryption (SSE): Encrypt data at rest using AWS-managed keys. - Client-Side Encryption: Encrypt data before uploading it to S3. 4. Explain the differences between Amazon RDS and Amazon Redshift. LSI Keywords: Amazon RDS vs. Amazon Redshift Amazon RDS (Relational Database Service) and Amazon Redshift are both managed database services, but they serve different purposes: - Amazon RDS: Ideal for traditional OLTP (Online Transaction Processing) workloads, supporting various database engines like MySQL, PostgreSQL, SQL Server, and Oracle. - Amazon Redshift: Designed for OLAP (Online Analytical Processing) workloads, optimized for complex queries and data warehousing. 5. How do you optimize the performance of Amazon Redshift? LSI Keywords: Amazon Redshift performance optimization To enhance the performance of Amazon Redshift, consider these best practices: - Distribution Style and Keys: Choose appropriate distribution styles to evenly distribute data across nodes. - Sort Keys: Define sort keys to reduce query time for frequently accessed columns. - Compression: Use columnar data compression to minimize storage and enhance query performance. - Vacuum and Analyze: Regularly perform the VACUUM and ANALYZE operations to reclaim space and update statistics. 6. How can you move data from on-premises to Amazon S3? LSI Keywords: On-premises data migration to Amazon S3 Migrating data to Amazon S3 can be achieved in multiple ways: - AWS Snowball: A physical device used to transfer large amounts of data securely. - AWS DataSync: Transfers data over the internet or AWS Direct Connect. - AWS Transfer Family: A fully managed service for transferring files over FTP, FTPS, and SFTP. - AWS Storage Gateway: Integrates on-premises environments with cloud storage. 7. Explain how AWS Glue ETL jobs work. LSI Keywords: AWS Glue ETL, data transformation AWS Glue is a fully managed extract, transform, and load (ETL) service. The process involves: - Data Crawling: Glue scans the data sources to determine the schema. - Data Catalog: Metadata is stored in the AWS Glue Data Catalog. - ETL Code Generation: Glue generates ETL code in Python or Scala. - Data Transformation: The data is transformed according to the ETL logic. - Data Loading: The transformed data is loaded into the destination data store. 8. How can you ensure data consistency in distributed systems on AWS? LSI Keywords: Data consistency in distributed systems, CAP theorem In distributed systems, the CAP theorem states that you can have only two of the following three guarantees: Consistency, Availability, and Partition tolerance. To ensure data consistency, you may use techniques like strong consistency models, distributed transactions, and data synchronization mechanisms. 9. Describe your experience with AWS Lambda and its role in data processing. LSI Keywords: AWS Lambda data processing AWS Lambda is a serverless compute service that executes functions in response to events. As a Data Engineer, you may leverage Lambda for real-time data processing, data transformations, and event-driven architectures. Share any hands-on experience you have in using Lambda for data processing tasks. 10. What is the significance of Amazon Kinesis in big data analytics? LSI Keywords: Amazon Kinesis big data analytics Amazon Kinesis is a suite of services for real-time data streaming and analytics. It enables you to ingest, process, and analyze streaming data at scale. Discuss how Amazon Kinesis can be utilized to handle real-time data and its relevance in big data analytics. 11. How do you manage error handling in AWS Glue ETL jobs? LSI Keywords: AWS Glue ETL error handling Error handling in AWS Glue ETL jobs is crucial to ensure data integrity. You can implement error handling through error tables, data validations, and customized error handling scripts to address different types of errors encountered during ETL operations. 12. Share your experience in building data pipelines with AWS Step Functions. LSI Keywords: AWS Step Functions data pipelines AWS Step Functions coordinate distributed applications and microservices using visual workflows. As a Data Engineer, you may use Step Functions to build complex data pipelines and manage dependencies between individual steps. Explain any projects you've worked on involving AWS Step Functions. 13. How do you monitor AWS resources for performance and cost optimization? LSI Keywords: AWS resource monitoring, performance optimization Monitoring AWS resources is vital for both performance and cost optimization. You can use AWS CloudWatch, AWS Trusted Advisor, and third-party monitoring tools to track resource utilization, set up alarms, and optimize the AWS infrastructure for cost efficiency. 14. Describe your experience in using AWS Glue DataBrew for data preparation. LSI Keywords: AWS Glue DataBrew data preparation AWS Glue DataBrew is a visual data preparation tool that simplifies data cleaning and normalization. Share how you've used DataBrew to automate data transformation tasks, handle data quality issues, and prepare data for analysis. 15. How do you ensure data integrity in a data lake on AWS? LSI Keywords: Data integrity in AWS data lake Data integrity is critical for a reliable data lake. Ensure data integrity by using versioning and cataloging tools, validating data during ingestion, and implementing access controls to prevent unauthorized changes. 16. Discuss your experience with Amazon Aurora for managing relational databases on AWS. LSI Keywords: Amazon Aurora relational database Amazon Aurora is a high-performance, fully managed relational database service. Describe your experience with Amazon Aurora, including tasks like database setup, scaling, and data backups. 17. What is the significance of AWS Glue in the ETL process? LSI Keywords: AWS Glue ETL significance AWS Glue simplifies the ETL process by automating data preparation, data cataloging, and data transformation tasks. Explain how using AWS Glue streamlines the data engineering workflow and saves time in building robust data pipelines. 18. How do you optimize data storage costs on AWS? LSI Keywords: AWS data storage cost optimization Optimizing data storage costs is essential for cost-conscious organizations. Use features like Amazon S3 Intelligent-Tiering, Amazon S3 Glacier, and Amazon S3 Lifecycle policies to efficiently manage data storage costs based on usage patterns. 19. Share your experience with AWS Data Migration Service (DMS) for database migration. LSI Keywords: AWS DMS database migration AWS DMS facilitates seamless database migration to AWS. Discuss any database migration projects you've handled using AWS DMS, including migration strategies, data replication, and post-migration testing. 20. How do you handle streaming data in AWS using Apache Kafka? LSI Keywords: AWS streaming data, Apache Kafka Apache Kafka is an open-source streaming platform used to handle high-throughput real-time data feeds. Elaborate on how you've used Kafka to ingest, process, and analyze streaming data on AWS. 21. What is your experience with AWS Glue for data discovery and cataloging? LSI Keywords: AWS Glue data discovery AWS Glue enables automatic data discovery and cataloging, making it easier to find and access data assets. Share examples of how you've utilized AWS Glue to create and manage a data catalog for your organization. 22. How do you ensure data quality in a data warehouse on AWS? LSI Keywords: Data quality in AWS data warehouse Data quality is critical for meaningful analytics. Discuss techniques like data profiling, data cleansing, and data validation that you use to maintain data quality in an AWS data warehouse environment. 23. Share your experience in building serverless data processing workflows with AWS Step Functions. LSI Keywords: AWS Step Functions serverless data processing AWS Step Functions enable you to create serverless workflows for data processing tasks. Provide examples of how you've used Step Functions to orchestrate data processing jobs and handle complex workflows. 24. What are the best practices for data encryption on AWS? LSI Keywords: AWS data encryption best practices Data encryption safeguards sensitive data from unauthorized access. Cover best practices for data encryption, including using AWS Key Management Service (KMS), encrypting data at rest and in transit, and managing encryption keys securely. 25. How do you stay updated with the latest AWS services and trends? LSI Keywords: AWS services updates, AWS trends Continuous learning is crucial for AWS Data Engineers. Share resources like AWS documentation, online courses, webinars, and AWS blogs that you regularly follow to stay informed about the latest AWS services and trends. FAQs (Frequently Asked Questions) FAQ 1: What are the essential skills for an AWS Data Engineer? To succeed as an AWS Data Engineer, you should possess strong programming skills in languages like Python, SQL, or Scala. Familiarity with data warehousing concepts, AWS services like Amazon S3, Amazon Redshift, and AWS Glue, and experience with ETL tools is crucial. Additionally, having knowledge of big data technologies like Apache Spark and Hadoop is advantageous. FAQ 2: How can I prepare for an AWS Data Engineer interview? Start by thoroughly understanding the fundamental concepts of AWS data services, data engineering, and data warehousing. Practice hands-on exercises to build data pipelines and perform data transformations. Review commonly asked interview questions and formulate clear, concise answers. Mock interviews and participating in data engineering projects can also enhance your preparation. FAQ 3: What projects can I include in my AWS Data Engineer portfolio? Your portfolio should showcase your data engineering expertise. Include projects that demonstrate your ability to build data pipelines, design scalable architectures, and optimize data storage and processing. Projects involving AWS Glue, AWS Redshift, and real-time data streaming are excellent additions to your portfolio. FAQ 4: Are AWS certifications essential for an AWS Data Engineer? While AWS certifications are not mandatory, they significantly enhance your credibility as a skilled AWS professional. Consider obtaining certifications like AWS Certified Data Analytics - Specialty or AWS Certified Big Data - Specialty to validate your expertise in data engineering on AWS. FAQ 5: How can I advance my career as an AWS Data Engineer? To advance your career, focus on continuous learning and staying updated with the latest AWS technologies. Seek opportunities to work on challenging data engineering projects that require problem-solving and innovation. Networking with professionals in the field and participating in AWS-related events can also open doors to new opportunities. FAQ 6: What are the typical responsibilities of an AWS Data Engineer in an organization? As an AWS Data Engineer, your responsibilities may include designing and implementing data pipelines, integrating data from various sources, transforming and optimizing data for analysis, and ensuring data security and quality. You may also be involved in troubleshooting data-related issues and optimizing data storage and processing costs. Conclusion Becoming an AWS Data Engineer opens doors to exciting opportunities in the world of data-driven technology. By mastering the essential AWS services and data engineering concepts and showcasing your expertise during interviews, you can secure a rewarding career in this rapidly evolving field. Stay committed to continuous learning and hands-on practice, and you'll be well on your way to success. Read the full article

[awesomelephuoclocblog-blog]

Three For One Hosting Review – Get 3 Years Of Web Hosting For The Price Of 1

https://lephuocloc.com/three-for-one-hosting-review/

3 YEARS OF HIGH QUALITY TOP NOTCH SERVICE FOR A VERY COMPETITIVE PRICE

Three-For-One-Hosting-Review

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Let me give you a couple centers to make this increasingly understood. Google is using web's stacking time as a situating part which infers you will mope awful rankings over a terrible encouraging organization. Similarly, 40% of web visitors will decide to leave your site when it takes longer than 3 seconds to stack, which in this manner permits to your adversaries. Finally, deferrals of even 1 second can diminish customers' satisfaction by 15% and angry customers will never endorse you to some other person.

Thusly, the time has come for you built up your encouraging organization and welcomed another accomplishment. Let me show you the brilliant world with Three For One Hosting 2020.

Part by section list

Three For One Hosting Review – Product Overview

What Is Three For One Hosting?

Who Are The Developers Behind This?

What Benefits Are You Getting With This Product?

Three For One Hosting Review – How To Use

Compensations From Hudareview Team

What Is Three For One Hosting?

Three For One Hosting 2020 is the three-years five star webhosting which licenses you to welcome various predominant features while open at a genuine expense.

In reality, when you do the figurings for consistently, it just costs you as pitiful as 2.5 pennies consistently for the entire three years of encouraging. Without a doubt, even the high level frontend encouraging thing is simply 4.3 pennies consistently!

Three-For-One-Hosting-1

Thing Rating27Three-For-One-Hosting-Logo

Name: Three For One Hosting 2020

Depiction: Three For One Hosting 2020 is the three-years five star webhosting which licenses you to welcome various first class features while available at an amazingly genuine expense.

Summary

As a matter of fact, when you do the figurings for consistently, it just costs you as pitiful as 2.5 pennies consistently for the entire three years of encouraging. Undoubtedly, even the high level frontend encouraging thing is simply 4.3 pennies consistently!

Cons

X Three For One Hosting 2020 isn't for customers looking for endless locales and endless accumulating.

Who Are The Developers Behind This?

Stockocity-4K-Review-author Eight-Webhosting-Review-Rechard

Pat Flanagan

The standard fashioners behind this is Richard Mandison and Pat Flanagan.

These people are commended for their longstanding association with in excess of 50,000 records, full encouraging system, and submitted arranged consideration staff. They experienced years working in the field and they totally fathomed the obstructions of such an organizations. You can without a very remarkable stretch find incredible reviews from their happy customers in many web search apparatuses.

Some extraordinary things made by them are Eight Webhosting, Lifetime Studio FX, Lifetime.Chat, Lifetime.Hosting, and Stockocity 2, etc.

What Benefits Are You Getting With This Product?

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Their generous gathering of assist engineers with having been offering dynamic assistance for up to 16 years. If you ever experience any issues with your encouraging, fundamentally present a ticket and their gathering will help you with getting them settled brisk – most events inside the essential association!

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Nothing is a higher need than your webpage being seen by your web visitors and customers. That is the explanation they'll guarantee that your site is up and working reliably. Consequently you'll never drop an arrangement!

[+] Host Unlimited Websites with Unlimited WordPress

Each productive business needs more than one site. So for what reason do the default plans at GoDaddy and HostGator consolidate only a singular site? Clear – considering the way that they have to upsell you and rebuke your success. They think since you're creating and advancing pleasantly, they should get more money! At Three For One Hosting, Their Unlimited course of action licenses unfathomable locales, fundamental as that.

[+] Unlimited Free SSL Certificates

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They've seen customers fall behind and drop down in Google since they couldn't remain to use SSL Certificates at $99.95/year for each zone. Likewise, who could denounce them! By and by, with Unlimited Free SSL Certificates for every zone, in what capacity may you bear the cost of not to?

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They don't rebuff you for being viable. There are no limitations on data move. Build up your traffic as much as you need as snappy as you need.

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[codeonedigest]

Create AWS SFTP Server with Amazon S3 Bucket | Setup SFTP Server in AWS ...

[hydralisk98]

hydralisk98′s web projects tracker:

Core principles=

Fail faster

‘Learn, Tweak, Make’ loop

This is meant to be a quick reference for tracking progress made over my various projects, organized by their “ultimate target” goal:

(START)

(Website)=

Install Firefox

Install Chrome

Install Microsoft newest browser

Install Lynx

Learn about contemporary web browsers

Install a very basic text editor

Install Notepad++

Install Nano

Install Powershell

Install Bash

Install Git

Learn HTML

Elements and attributes

Commenting (single line comment, multi-line comment)

Head (title, meta, charset, language, link, style, description, keywords, author, viewport, script, base, url-encode, )

Hyperlinks (local, external, link titles, relative filepaths, absolute filepaths)

Headings (h1-h6, horizontal rules)

Paragraphs (pre, line breaks)

Text formatting (bold, italic, deleted, inserted, subscript, superscript, marked)

Quotations (quote, blockquote, abbreviations, address, cite, bidirectional override)

Entities & symbols (&entity_name, &entity_number, &nbsp, useful HTML character entities, diacritical marks, mathematical symbols, greek letters, currency symbols, )

Id (bookmarks)

Classes (select elements, multiple classes, different tags can share same class, )

Blocks & Inlines (div, span)

Computercode (kbd, samp, code, var)

Lists (ordered, unordered, description lists, control list counting, nesting)

Tables (colspan, rowspan, caption, colgroup, thead, tbody, tfoot, th)

Images (src, alt, width, height, animated, link, map, area, usenmap, , picture, picture for format support)

old fashioned audio

old fashioned video

Iframes (URL src, name, target)

Forms (input types, action, method, GET, POST, name, fieldset, accept-charset, autocomplete, enctype, novalidate, target, form elements, input attributes)

URL encode (scheme, prefix, domain, port, path, filename, ascii-encodings)

Learn about oldest web browsers onwards

Learn early HTML versions (doctypes & permitted elements for each version)

Make a 90s-like web page compatible with as much early web formats as possible, earliest web browsers’ compatibility is best here

Learn how to teach HTML5 features to most if not all older browsers

Install Adobe XD

Register a account at Figma

Learn Adobe XD basics

Learn Figma basics

Install Microsoft’s VS Code

Install my Microsoft’s VS Code favorite extensions

Learn HTML5

Semantic elements

Layouts

Graphics (SVG, canvas)

Track

Audio

Video

Embed

APIs (geolocation, drag and drop, local storage, application cache, web workers, server-sent events, )

HTMLShiv for teaching older browsers HTML5

HTML5 style guide and coding conventions (doctype, clean tidy well-formed code, lower case element names, close all html elements, close empty html elements, quote attribute values, image attributes, space and equal signs, avoid long code lines, blank lines, indentation, keep html, keep head, keep body, meta data, viewport, comments, stylesheets, loading JS into html, accessing HTML elements with JS, use lowercase file names, file extensions, index/default)

Learn CSS

Selections

Colors

Fonts

Positioning

Box model

Grid

Flexbox

Custom properties

Transitions

Animate

Make a simple modern static site

Learn responsive design

Viewport

Media queries

Fluid widths

rem units over px

Mobile first

Learn SASS

Variables

Nesting

Conditionals

Functions

Learn about CSS frameworks

Learn Bootstrap

Learn Tailwind CSS

Learn JS

Fundamentals

Document Object Model / DOM

JavaScript Object Notation / JSON

Fetch API

Modern JS (ES6+)

Learn Git

Learn Browser Dev Tools

Learn your VS Code extensions

Learn Emmet

Learn NPM

Learn Yarn

Learn Axios

Learn Webpack

Learn Parcel

Learn basic deployment

Domain registration (Namecheap)

Managed hosting (InMotion, Hostgator, Bluehost)

Static hosting (Nertlify, Github Pages)

SSL certificate

FTP

SFTP

SSH

CLI

Make a fancy front end website about 

Make a few Tumblr themes

===You are now a basic front end developer!

Learn about XML dialects

Learn XML

Learn about JS frameworks

Learn jQuery

Learn React

Contex API with Hooks

NEXT

Learn Vue.js

Vuex

NUXT

Learn Svelte

NUXT (Vue)

Learn Gatsby

Learn Gridsome

Learn Typescript

Make a epic front end website about 

===You are now a front-end wizard!

Learn Node.js

Express

Nest.js

Koa

Learn Python

Django

Flask

Learn GoLang

Revel

Learn PHP

Laravel

Slim

Symfony

Learn Ruby

Ruby on Rails

Sinatra

Learn SQL

PostgreSQL

MySQL

Learn ORM

Learn ODM

Learn NoSQL

MongoDB

RethinkDB

CouchDB

Learn a cloud database

Firebase, Azure Cloud DB, AWS

Learn a lightweight & cache variant

Redis

SQLlite

NeDB

Learn GraphQL

Learn about CMSes

Learn Wordpress

Learn Drupal

Learn Keystone

Learn Enduro

Learn Contentful

Learn Sanity

Learn Jekyll

Learn about DevOps

Learn NGINX

Learn Apache

Learn Linode

Learn Heroku

Learn Azure

Learn Docker

Learn testing

Learn load balancing

===You are now a good full stack developer

Learn about mobile development

Learn Dart

Learn Flutter

Learn React Native

Learn Nativescript

Learn Ionic

Learn progressive web apps

Learn Electron

Learn JAMstack

Learn serverless architecture

Learn API-first design

Learn data science

Learn machine learning

Learn deep learning

Learn speech recognition

Learn web assembly

===You are now a epic full stack developer

Make a web browser

Make a web server

===You are now a legendary full stack developer

[...]

(Computer system)=

Learn to execute and test your code in a command line interface

Learn to use breakpoints and debuggers

Learn Bash

Learn fish

Learn Zsh

Learn Vim

Learn nano

Learn Notepad++

Learn VS Code

Learn Brackets

Learn Atom

Learn Geany

Learn Neovim

Learn Python

Learn Java?

Learn R

Learn Swift?

Learn Go-lang?

Learn Common Lisp

Learn Clojure (& ClojureScript)

Learn Scheme

Learn C++

Learn C

Learn B

Learn Mesa

Learn Brainfuck

Learn Assembly

Learn Machine Code

Learn how to manage I/O

Make a keypad

Make a keyboard

Make a mouse

Make a light pen

Make a small LCD display

Make a small LED display

Make a teleprinter terminal

Make a medium raster CRT display

Make a small vector CRT display

Make larger LED displays

Make a few CRT displays

Learn how to manage computer memory

Make datasettes

Make a datasette deck

Make floppy disks

Make a floppy drive

Learn how to control data

Learn binary base

Learn hexadecimal base

Learn octal base

Learn registers

Learn timing information

Learn assembly common mnemonics

Learn arithmetic operations

Learn logic operations (AND, OR, XOR, NOT, NAND, NOR, NXOR, IMPLY)

Learn masking

Learn assembly language basics

Learn stack construct’s operations

Learn calling conventions

Learn to use Application Binary Interface or ABI

Learn to make your own ABIs

Learn to use memory maps

Learn to make memory maps

Make a clock

Make a front panel

Make a calculator

Learn about existing instruction sets (Intel, ARM, RISC-V, PIC, AVR, SPARC, MIPS, Intersil 6120, Z80...)

Design a instruction set

Compose a assembler

Compose a disassembler

Compose a emulator

Write a B-derivative programming language (somewhat similar to C)

Write a IPL-derivative programming language (somewhat similar to Lisp and Scheme)

Write a general markup language (like GML, SGML, HTML, XML...)

Write a Turing tarpit (like Brainfuck)

Write a scripting language (like Bash)

Write a database system (like VisiCalc or SQL)

Write a CLI shell (basic operating system like Unix or CP/M)

Write a single-user GUI operating system (like Xerox Star’s Pilot)

Write a multi-user GUI operating system (like Linux)

Write various software utilities for my various OSes

Write various games for my various OSes

Write various niche applications for my various OSes

Implement a awesome model in very large scale integration, like the Commodore CBM-II

Implement a epic model in integrated circuits, like the DEC PDP-15

Implement a modest model in transistor-transistor logic, similar to the DEC PDP-12

Implement a simple model in diode-transistor logic, like the original DEC PDP-8

Implement a simpler model in later vacuum tubes, like the IBM 700 series

Implement simplest model in early vacuum tubes, like the EDSAC

[...]

(Conlang)=

Choose sounds

Choose phonotactics

[...]

(Animation ‘movie’)=

[...]

(Exploration top-down ’racing game’)=

[...]

(Video dictionary)=

[...]

(Grand strategy game)=

[...]

(Telex system)=

[...]

(Pen&paper tabletop game)=

[...]

(Search engine)=

[...]

(Microlearning system)=

[...]

(Alternate planet)=

[...]

(END)

[bankedtrackrollerderby]

Cloudera DataFlow Functions - Real-time offloading SFTP server to AWS S3...

[trylkstopocket]

Building software in the cloud

“What does the future look like? All the code you ever write is business logic,” Amazon CTO Werner Vogels pronounced a few years ago at AWS re:Invent.

Vogels was talking about serverless — a cloud computing execution model and architectural style in which the cloud provider takes care of provisioning, scaling and managing server resources for customers, as a service. In this model, all that users have to do is write the business logic.

Serverless is a form of outsourcing where the computing resources needed to run an application — runtimes, databases, message brokers, etc. — are fully commoditized and, more importantly, unit priced. In contrast to more traditional infrastructure-as-a-service (IaaS) offerings, serverless technology usually covers various levels in the managed infrastructure stack (Figure 1).

Figure 1. Differences in ownership and responsibilities between IaaS and serverless

Cloud is an asset — code becomes a liability

Here’s a financial analogy to help explain a serverless approach: The cloud is an asset, and the code becomes a liability. Once you open an account with any cloud provider, you have access to a full catalog of services, and providers will continue to add to it. It will cost you nothing to grow your set of functionalities. Your cloud subscription costs only kick in when you start writing and executing your apps. So, code in a serverless environment is not just technical debt: It’s debt, pure and plain.

Cloud providers such as AWS (Amazon Web Services), Google Cloud and Microsoft Azure include an assortment of serverless innovations in their catalog of managed services. These provide a vast set of compelling features that software engineers can use to build modern applications in a more agile way, as the industrialization and heavy lifting of the infrastructure are fully managed for them. This worry-free, low-operations environment allows them to focus on building software that end users will love to use.

It’s important to note that it is inaccurate to refer to this type of technology as cloud-native. There is nothing new that makes serverless exclusive to the cloud. On the contrary, it is fully based on age-old and widely accepted industry standards such as HTTP, SFTP, DNS and MQTT. This means that the serverless offerings provided by the largest platform players always have an equivalent off the cloud.

Serviceful vs. serverful, and the hidden costs of not embracing cloud

Having said all that, we need to see the cloud platform as a system you can program. Instead of thinking about the cloud as somebody else’s data center, where engineers can spin up virtual machines and drop their workloads, think of it this way: Cloud is a serviceful platform that enables developers to write minimal code that glues up services to shape a working system.

This is a total mind-shift for many software engineers who are accustomed to carrying the heavy baggage of frameworks and tools needed to wire things up together in a serverful environment. Many software engineers are reluctant to throw them away as they see them as a safeguard against vendor lock-in and, not surprisingly, as a defensive mechanism in the event of platform portability.

But, as Gartner explains in this blog, the likelihood that applications will change infrastructure providers through their lifespan is very low. Once deployed on a provider, applications tend to stay there, so portability generally is not a requirement. And there shouldn’t be a problem even if they do change infrastructure providers — because serverless technologies are fully based on industry standards (even open-sourced) that allow clean and easy interoperability between providers.

In addition, the frameworks and tools they traditionally relied upon can introduce complexity in a serverless environment, and lead to issues that will end up being more expensive to resolve than rewriting the original code for another platform. By writing code in a non-standard fashion that does not leverage cloud services, engineers take on overhead that they could have avoided if they had stayed with the widely accepted (and standard) cloud platform defaults.

AWS serverless technology meets the mark

AWS offers an extensive catalog of serverless technologies across multiple technical layers: NoSQL tables (Amazon DynamoDB), functions as a service (AWS Lambda), queues and notifications (Amazon SQS/SNS) and container management (AWS Fargate). AWS also includes new and more advanced microservices management services (AWS Proton and AWS App Runner), as well as state machines (AWS Step Functions).

The AWS ecosystem of serverless technologies enables a new and powerful architectural style that industrializes the past — so that software engineers can focus on building the future.

AWS cloud is completely based on industry technology standards. This means that every service on its platform has an equivalent off the cloud that is based on the same industry standards. This is very important because interoperability is key when moving from a product-based economy to a service-based one such as serverless — and that is possible only when these services are based on standards. To lay out some examples:

Storage created through the Amazon EFS service adheres to the NFS standard.

Systems integrations handled by Amazon MQ follow the MQTT protocol.

Service APIs created using the Amazon API Gateway can be consumed using HTTP and Websockets, but also defined, imported and exported using OpenAPI v2.0 and OpenAPI v3.0.

You can manage NoSQL databases on Amazon DocDB using an API that is fully compatible with MongoDB.

All these services are exposed through HTTP interfaces that allow interactions-based RESTful APIs. This standards-based approach helps in mitigating the risks associated with a potential migration off AWS. Later in the following section, we cover this very important topic in detail.

Serverless-first software engineering

As DXC Technology’s software organization transitions toward SaaS, the portfolio management team will run a bimodal agenda by which they can build the new while they tackle the old, which is typically still the main source of revenue. This is indeed an interesting environment full of risks and unknowns that are not far from the challenges presented to other engineering companies dealing with shipping products at different stages of maturity.

Despite the obvious differences, this is the case with SpaceX. As an example, the space manufacturer needs to be able to send stable payloads to space with their cargo spacecraft Dragon, so they need to focus on stability, quality and reducing deviation. At the same time, they are experimenting with reusable Falcon rockets, so they welcome failure in non-critical parts. And finally, they are fully running iterative and incremental experiments with Starship, carrying out an agile manufacturing style that is focused on embracing change and reducing its cost. This idea is summarized in Figure 2.

Figure 2. Different methodologies and competences for different goals (Source: Simon Wardley)

Many technology organizations are transitioning toward SaaS. These organizations have to deal with the challenges of building software that fully embraces and leverages the benefits of serverless technologies but can also be deployed on-premises for customers not yet prepared to move their data and workloads to the public cloud.

That’s the case here at DXC. As a SaaS provider, we own the cost of software in its totality, so the requirements push us naturally to have a default implementation on the cloud. This is because, as noted earlier, it is preferable to write the code for another platform than to use unnecessary frameworks and abstraction layers that put a brake on innovation and also introduce management overheads.

What is the solution, then? We are going to look at this from an evolutionary architecture point of view, using a technique known as hexagonal architectures.

Developing evolutionary architecture with AWS Lambda

Hexagonal architectures provide a pattern that helps in building loosely coupled software components that can be easily integrated with other components by means of some constructs called ports and adapters (Figure 3).

What this technique proposes is based on the principles of interface-oriented programming:

Developers need to isolate the business logic into modules that communicate via domain-specific functional interfaces.

The code that accesses the cloud services via their APIs or SDKs is implemented behind those interfaces.

If the application is moved to another cloud platform, the interface needs to be reprogrammed to access the new cloud services using their APIs or SDKs.

Figure 3. Visual representation of the components in hexagonal architectures

With this pattern, software engineers can effectively isolate their business logic from the underlying platform implementation details, whether it be a cloud platform or an on-premises system. This way, if the application needs to be ported between platforms, the changes in the code are very localized for the developers in the following elements:

Input adapters to massage and process the event payloads received by the component

Output adapters for interacting with the underlying cloud services via their APIs or SDKs

Let’s see how this works using the example of a real DXC microservice built for DXC Assure Digital Platform, our digitally enabled, end-to-end SaaS offering for the insurance market. Within this offering, the events management service is a core service from the DXC Assure Digital Platform that offers topic creation, topic subscription and event submission functionalities, through a REST API as an asynchronous integration mechanism between the different insurance microservices that run on the platform.

In this case, the AWS services selected to implement the microservice component are Amazon API Gateway for the API exposure of the microservice, AWS Lambda to execute the main business logic and Amazon DynamoDB for the storage of events and subscriptions (Figure 4).

Figure 4. Hexagonal architecture components mapped to AWS services

In a nutshell, the following points describe in detail our design approach to implementing the events management service in DXC Assure using hexagonal architectures:

The first thing we need to do is process the API path by parsing the API Gateway object in order to extract the REST resource being accessed and matching it against a predefined map of available interactions (Figure 5). The result of this matching will give us the name of a handler function that implements the business logic necessary for that particular resource interaction. Figure 5. Adapter implementation in an AWS Lambda function handler (Code contributor: Enrique Riesgo)

The custom handler function (don’t mistake this with the main Lambda handler) implements all the necessary REST semantics for returning a valid API response to the client, with the appropriate HTTP status code, headers and body (Figure 6). In order to generate this response, the handler needs to access some data from the database; it does so by interacting with an interface function that abstracts the cloud database infrastructure details to the handler. Figure 6. Domain-specific service logic (Code contributor: Enrique Riesgo)

Finally, the implementation of this function is responsible for accessing the Amazon DynamoDB table for reading and processing the necessary data using AWS SDK (Figure 7). This is where we are fully isolating access to the underlying platform, thus leaving the business logic totally agnostic and loosely coupled from these infrastructure implementation details. Figure 7. Implementation of the output adapter using AWS SDK (Code contributor: Enrique Riesgo)

As mentioned earlier, in the unlikely event of an infrastructure or cloud platform migration, the changes to the event service API are very localized in two parts:

The input adapter, by updating the way we process the API paths coming from the API Gateway event object: There is an equivalent in another platform to this event object, so we need to figure out what is the right format and content.

The output adapter, by updating the provider that accesses the data in the database through the proper SDK function: NoSQL databases are standard on and off the cloud, so this is just a matter of using the proper method to read data on another platform, something that is obviously very standard.

Conclusion

Companies need to maintain and improve their existing revenue streams while building the innovations that will make them competitive in the future, i.e., building the new while tackling the old.

There is a market trend to go multicloud or rely on container orchestration solutions such as Kubernetes that allow one to run applications and port them between different platforms. However, the management overhead introduced by these frameworks is higher than coding concrete pieces of the software twice, in the unlikely event of platform portability. That’s why DXC Assure Digital Platform has opted for a serverless-first approach, fully embracing the cloud, using it as a system that you can program, and benefiting from all innovations released by AWS that, at the end of the day, are based on age-old standards.

Architectural styles such as hexagonal architectures help us in implementing this strategy effectively so that software engineers can design their components in a way that they are loosely coupled with the underlying platform. If DXC Assure software had to be moved off the cloud, software engineers will have a clear pattern to rewrite only small and localized parts of the code to integrate to the new platform services. This is how DXC Assure software engineers can focus on building the best software in the world without worrying about undifferentiated work such as container management or defensive programming techniques — thereby providing DXC a competitive advantage in the SaaS market.