COMPLETE GUIDE ON SERVICENOW WORKFLOW

ServiceNow Workflow is a tool that allows you to automate and streamline your business processes within the ServiceNow platform. Workflows in ServiceNow are defined as a series of connected activities that automate a process, with each activity representing a single step in the process. Workflows can be used to automate any number of business processes, from simple approval workflows to complex multi-step processes that involve multiple departments.

To create a workflow in ServiceNow, you can use the Workflow Designer, which is a drag-and-drop tool that allows you to create and connect various activities. The Workflow Designer includes a library of pre-built activities that you can use to build your workflows, including approvals, notifications, and data lookups. You can also create custom activities using JavaScript.

Here are the basic steps for creating a workflow in ServiceNow:

Define the process: Identify the process you want to automate and map out the steps involved.

Create a new workflow: In ServiceNow, go to the Workflow Designer and create a new workflow.

Add activities: Drag and drop the activities you need from the library onto the canvas and connect them in the order they should occur.

Configure each activity: For each activity, configure the parameters and conditions that determine when it should be triggered.

Test the workflow: Once your workflow is complete, test it to ensure that it works as expected.

Deploy the workflow: Finally, deploy the workflow to make it available for use within your organization.

ServiceNow Workflow is a powerful tool that can help you to automate and streamline your business processes, reduce errors, and improve efficiency.

 

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A Complete Guide to the Stages of Penetration Testing

Different Stages of Penetration Tests

The typical penetration testing is broken out in various phases, alike the cyberattack lifecycle. Every single phase has a goal that they require to achieve to further the attack.

1. Gathering of Crucial Information
2. Enumeration & Identification
3. Vulnerability Scanning
4. Determines the best method of attack
5. Penetration as well as Exploitation
6. Risk Analysis as well as Recommendations
7. Report Preparation (Goals)

#testing #penetration #penetration testing guide #a complete guide

Big Data Resume: Complete Guide & Samples [2021]

Thanks to the rapidly piling amounts of Big Data, the job profile of a Big Data Engineer is peaking.

In recent years, there has been such unprecedented growth in the demand for Big Data Engineers that it has become one of the top-ranking jobs in Data Science today. Since numerous companies across different industries are hiring Big Data Engineers, there’s never been a better time than now to build a career in Big Data. However, you must know how to present yourself as different from the others; you need to stand out from the crowd. Read the blog to have a better understanding of the scope of Big Data in India.

And how will you do that?

By designing and crafting a detailed, well-structured, and eye-catching Big Data resume!

When applying for a Big Data job, or rather for the post of a Big Data Engineer, your resume is the first point of contact between you and your potential employer. If your resume impresses an employer, you will be summoned for a personal interview. So, the key is to make sure you have a fantastic resume that can get you job interview calls.

Usually, Hiring Managers have to look at hundreds of resumes, be it for any job profile. However, when it comes to high-profile jobs like that of the Big Data Engineer, you must be able to grab the attention of the Hiring Manager by highlighting your skills, qualifications, certifications, and your willingness to upskill.

Let’s begin the resume-building process with the job description and key roles and responsibilities of a Big Data Engineer.

Table of Contents

• Who is a Big Data Engineer?
• Job responsibilities of a Big Data Engineer
• Primary Responsibilities of a Big Data Engineer
• Skills required for the profile of a Big Data Engineer
• Big Data Engineer – Resume Building
• Specify your contact information and location :
• Specify your educational qualifications
• Write a brief summary of your work experience
• Highlight the tools and technologies you’ve worked with 
• Specify the company names, job titles/profiles, and duration of your work experience 
• Include any and every certification and academic projects you’ve worked on

#big data #big data resume: complete guide & samples #big data resume #big data resume #data science resume #guide

Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation

On Wednesday, March 11, 2020, I conducted the webinar titled “Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation”. Not only was I overwhelmed by the number of attendees, but we also got a huge list of interesting questions before and especially during the webinar. Some of them were answered, but a lot of them were not. I want to answer all open questions in this series of seven blog posts. Today I am posting the final two in the series.

Note that we also started to experiment with the Camunda’s question corner and discuss to make this more frequent, so keep an eye to our community for more opportunities to ask anything (especially as in-person events are canceled for some time).

Part 1: BPMN & modeling related questions (6 answers)

Part 2: Architecture related questions (12)

Part 3: Stack & technology questions (6)

Part 4: Camunda product-related questions (5)

Part 5: Camunda Optimize specific questions (3)

Part 6: Questions about best practices (5)

Part 7: Questions around project layout, journey and value proposition (3)

Questions about best practices

Q: Business data versus workflow data: if you cannot tear them apart, how can you keep them consistent? Are the eventual/transactional consistency problems simpler or more complex with Camunda BPM in the equation?

This is quite a complex question, as it depends on the exact architecture and technology you want to use.

Example 1: You use Camunda embedded as a library, probably using the Spring Boot starter. In this case, your business data could live in the same database as the workflow context. In this case you can join one ACID transaction and everything will be strongly consistent.

Example 2: You leverage Camunda Cloud and code your service in Node.JS, storing data in some database. Now you have no shared transaction. No you start living in the eventual consistent world, and need to rely on “at-least-once” semantics. This is not a problem per se, but at least requires some thinking about the situations that can arise. I should probably write an own piece about that, but I had used this picture in the past to explain the problem (and this very basic blog post might help also):

So you can end up with money charged on the credit card, but the workflow not knowing about it. But in this case you leverage the retry capabilities and will be fine soon (=eventually).

#microservices #monitoring-microservices #microservices-or #workflow-automation #process-automation #bpmn #workflow #developers-workflow

Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation

On Wednesday, March 11, 2020, I conducted the webinar titled “Monitoring & Orchestrating Your Microservices Landscape using Workflow Automation”. Not only was I overwhelmed by the number of attendees, but we also got a huge list of interesting questions before and especially during the webinar. Some of them were answered, but a lot of them were not. I want to answer all open questions in this series of seven blog posts.

Part 1: BPMN & modeling related questions (6 answers)

Part 2: Architecture related questions (12)

Part 3: Stack & technology questions (6)

Part 4: Camunda product-related questions (5)

Part 5: Camunda Optimize specific questions (3)

Part 6: Questions about best practices (5)

Part 7: Questions around project layout, journey and value proposition (3)

Note that we also started to experiment with the Camunda’s question corner and discuss to make this more frequent, so keep an eye to our community for more opportunities to ask anything (especially as in-person events are canceled for some time).

Camunda product-related questions

Q: What is the difference between Camunda BPM and Zeebe?

Or different forms of asking the same question: How do you position Camunda BPM vs Zeebe in relation to this presentation? Is Camunda BPM still the best/most reliable solution for microservice architecture with orchestration flows? Or is Zeebe the recommended route for such a new project?

To get everybody on the same page first, within Camunda we have two open-source workflow engine projects:

Camunda BPM: A BPMN workflow engine, that persists state via a relational database. The engine itself is stateless, and if you cluster the engine all nodes meet in the database.Zeebe: A BPMN workflow engine, that persists state on its own (kind of event sourcing). Zeebe forms an own distributed system and replicates its state to other nodes using a RAFT protocol. If you want to learn more about if check out Zeebe.io — a horizontally scalable distributed workflow engine.

#microservices #workflow-autom #microservices-or #monitoring-micro #bpmn-workflow #workflow-modeling #camunda #zeebe

A Complete Guide on Software Testing

Why Is Software Testing Important?

It is essential to ensure the superior functioning of the software. Many losses can be avoided by testing software before implementing it. Software Testing offers numerous advantages, making it a crucial step before delivering the final product to the customer.

Advantages of Software Testing

• Saves Money
• Quality
• User Experience
• Brings Profits
• Business Optimization

#testing #a complete guide #software testing