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How to Create an Incident and Understand Problem in ServiceNow
Introduction
ServiceNow has become one of the most powerful IT Service Management (ITSM) platforms in the world. Whether you are starting your journey as an IT professional or already working in enterprise environments, understanding ServiceNow incident management is essential. Incidents and problems are two core concepts that ensure service continuity, but many newcomers often confuse them.
In this article, I’ll explain step by step how to create an incident in ServiceNow and then break down the key differences between an incident and a problem. Towards the end, you’ll also discover why learning ServiceNow with the right training partner like Visualpath can open doors to high-paying ITSM careers worldwide.
What is an Incident in ServiceNow?
An incident in ServiceNow refers to an unplanned disruption or reduction in quality of an IT service. Simply put, if something breaks, slows down, or doesn’t work as expected, it becomes an incident. The main goal of handling an incident is not necessarily to eliminate the root cause immediately but to restore normal service operations as quickly as possible.
Examples:
• A user unable to log into their email system.
• A printer suddenly stops working.
• A critical website goes down.
In ServiceNow incident management, the focus is on minimizing downtime and helping the user get back to work with minimal disruption.
How to Create an Incident in ServiceNow
Creating an incident in ServiceNow is a straightforward process if you follow the standard ITIL-based procedure. Here’s how it’s typically done:
Step 1: Login to ServiceNow
Access the ServiceNow platform using your credentials.
Step 2: Navigate to 'Incident'
In the left-hand navigation pane, type “Incident” in the filter navigator and click on “Create New.”
Step 3: Fill in the Incident Form
A new form will appear. Fill in the relevant details such as:
• Caller: The person reporting the incident
• Short Description: A brief summary of the issue
• Description: Detailed information about the issue
• Category and Subcategory: Classify the incident type
• Impact and Urgency: Select the level of business impact
Step 4: Submit
Click the “Submit” button to register the incident. The incident is now logged and can be tracked using its unique incident number.
With the right training, this process becomes second nature. That’s why many learners turn to Visualpath for their ServiceNow incident management training and hands-on practice.
What is a Problem in ServiceNow?
While incidents focus on restoring services quickly, a problem in ServiceNow deals with the underlying root cause of one or many incidents. In other words, if the same incident occurs repeatedly, IT teams create a problem record to investigate it in-depth.
Examples:
• A user’s login failing due to recurring Active Directory sync issues.
• Multiple emails bouncing because of a misconfiguration in the mail server.
• Network outages happening repeatedly in one geographic location.
Problem management aims at permanently eliminating the cause, so future incidents can be prevented.
Key Differences between an Incident and a Problem
Understanding the difference between an incident and a problem is essential for any IT professional working with ServiceNow?
1. Purpose
• Incident: Focuses on restoring service quickly
• Problem: Focuses on identifying and eliminating the root cause
2. Timeframe
• Incident: Short-term fix
• Problem: Long-term analysis and solution
3. Scope
• Incident: Typically affects a single user or service
• Problem: Can affect multiple users or systems
4. Approach
• Incident: Reactive response
• Problem: Proactive investigation
When you enrol in Visualpath’s ServiceNow online training, these differences become clearer through real-time projects and hands-on practice.
Why Choose Visualpath?
If you are serious about building a career in ServiceNow, it is important to learn both the technical process and practical workflows. That’s where Visualpath comes in—offering ServiceNow online training worldwide.
Why Choose Visualpath?
In-Depth Online Training
Real-Time Projects & Hands-On Learning
100% Placement Assistance
At Visualpath, you get access to expert instructors, practical exercises, and project-based learning to help you master ServiceNow. Apart from ServiceNow, Visualpath provides online training across Cloud, AI, and other in-demand enterprise technologies—making you fully prepared for the future of IT.
Benefits of Learning ServiceNow
• High demand for certified professionals
• Opportunities across industries
• Strong salary packages
• Cloud-based platform experience
If you're looking to break into IT or scale up your existing career, mastering ServiceNow incident management is a smart move.
Career Opportunities in ServiceNow Incident Management
Learning ServiceNow incident management is not just about handling tickets. It opens up multiple career roles such as:
• Service Desk Analyst
• Incident Manager
• ServiceNow Developer
• ITSM Consultant
As more companies adopt ServiceNow to manage IT operations, the demand for skilled professionals continues to rise. With proper training from a trusted source like Visualpath, you're well-positioned to take advantage of these opportunities.
Benefits of Knowing Incident vs Problem Management
Understanding how incidents and problems work together is vital for both IT professionals and organizations.
• Faster Recovery: Users don’t wait long for IT fixes.
• Reduced Recurrence: Root causes are addressed in problem records.
• Improved Efficiency: Teams spend less time firefighting and more time innovating.
• Career Growth: Knowledge in ServiceNow incident management is highly valuable for ITSM roles globally.
Top 5 FAQ Questions
1. What is the main goal of incident management in ServiceNow?
The main goal is to restore normal service operation as quickly as possible with minimal business impact.
2. How is a problem different from an incident in ServiceNow?
An incident is about immediate service restoration, while a problem focuses on identifying and fixing the root cause of recurring incidents.
3. Do I need coding skills to create incidents in ServiceNow?
No, creating incidents usually doesn’t require coding. However, developers may need scripting knowledge for automation or customization.
4. Can I link multiple incidents to a single problem in ServiceNow?
Yes, ServiceNow allows you to relate multiple incidents to one problem for better root cause analysis.
5. How does Visualpath help in learning ServiceNow incident management?
Visualpath offers real-time projects, hands-on training, and placement support through its online ServiceNow courses designed for global learners.
Final Thoughts
Understanding how to create an incident and distinguish it from a problem is a foundational skill in ServiceNow. It not only improves how you manage IT issues but also enhances your career prospects in the field of ITSM.
With hands-on learning, real-time projects, and expert guidance, Visualpath offers the best ServiceNow online training worldwide to help you gain job-ready skills in no time.
Start your learning journey today and step into a rewarding career in ServiceNow incident management.
Visualpath is a leading training provider offering ServiceNow online training worldwide with real-time projects and 100% placement assistance. We also provide in-depth online training across Cloud, AI, and all related IT courses to help you advance your career.
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How Do You Ensure Data Encryption in AWS AI Pipelines?
When building intelligent systems in the cloud, especially using AWS (Amazon Web Services), data security is more than just an option—it’s a necessity. One of the most effective ways to secure your AI pipeline is by ensuring AWS data encryption. In this blog post, we'll break down what that means, how it works, and how you can implement it effectively—whether you're a developer, a data engineer, or someone pursuing a career in cloud and AI.
Let’s dive into the what, why, and how of securing your AWS AI pipelines with encryption.
What Is Data Encryption in AWS AI Pipelines?
Encryption is the process of converting data into a code to prevent unauthorized access. In AWS AI pipelines, encryption is essential to safeguard sensitive data as it moves through various services like S3 (Simple Storage Service), SageMaker, Lambda, or Redshift.
There are two primary types of encryption you need to know:
• At-Rest Encryption: Protects data stored in AWS services (like S3 buckets, databases).
• In-Transit Encryption: Secures data moving between services or external endpoints using SSL/TLS protocols.
Why Is AWS Data Encryption Important?
With more companies moving their machine learning and AI workloads to the cloud, securing the data used for training, validation, and inference becomes mission-critical. Here’s why:
• Compliance: Meet regulatory standards like GDPR, HIPAA, and PCI-DSS.
• Data Integrity: Prevent unauthorized modifications to training datasets.
• Confidentiality: Ensure sensitive customer data or business logic is kept private.
• Trust: Clients and users trust businesses that prioritize security.
That’s why AWS data encryption is foundational when building secure and scalable AI pipelines.
How to Ensure Data Encryption in AWS AI Pipelines
Let’s walk through practical ways to implement AWS data encryption in your AI workflow:
1. Use AWS Key Management Service (KMS)
AWS KMS lets you create and manage cryptographic keys and control their use. You can:
• Automatically encrypt S3 buckets
• Use customer-managed keys (CMK) for added control
• Integrate KMS with AI tools like SageMaker, Redshift, and Glue
2. Enable S3 Bucket Encryption
When storing training data or models in S3, enable default encryption. You can choose between:
• SSE-S3 (server-side encryption with S3-managed keys)
• SSE-KMS (with AWS KMS)
• SSE-C (with customer-provided keys)
3. Encrypt SageMaker Notebooks and Models
SageMaker allows you to encrypt:
• Notebook instances
• Training jobs
• Model artifacts
Use KMS keys for encryption and make sure to restrict access via IAM (Identity and Access Management) policies.
4. Use VPC Endpoints for Private Connectivity
AI pipelines often communicate across services. Use VPC endpoints with encryption to avoid public internet exposure and secure your AWS data encryption strategy further.
5. Enable Encryption in Data Pipelines
If you're using AWS Glue, Redshift, or EMR for preprocessing or analysis:
• Enable at-rest and in-transit encryption
• Use IAM policies to restrict key access
• Always monitor and audit encryption using AWS CloudTrail
Best Practices for Encryption in AWS AI Pipelines
1. Enable Encryption Everywhere
always enable encryption for data at rest and in transit. Ensure that model artifacts, training data, and inference logs are encrypted with KMS.
2. Use Customer-Managed Keys (CMKs):
For tighter control, use CMKs instead of default AWS keys so you can define rotation schedules, access policies, and auditing.
3. Secure Data Movement between Services:
Ensure that any integration between S3, SageMaker, Lambda, or Step Functions uses HTTPS or VPC endpoints for encrypted traffic.
4. Monitoring & Compliance:
Use CloudTrail to log who accessed encryption keys and settings, ensuring accountability in your AWS AI environment.
5. Integrate with IAM Policies:
Restrict user and application access to encryption keys through Identity and Access Management (IAM) policies for stronger governance.
6. Leverage Automated Security Tools:
Use AWS Config and Security Hub to detect any non-compliance with encryption standards across your cloud environment.
Following these best practices provides a robust shield for data in an AWS AI pipeline, ensuring end-to-end protection.
Why Choose Visualpath for AWS AI Training?
At Visualpath, we understand the importance of both technical skills and security awareness in today’s cloud-driven world. Whether you're starting out or leveling up, we offer:
Why Choose Visualpath?
In-Depth Online Training
Get comprehensive coverage of AWS AI, security, and encryption practices.
Real-Time Projects & Hands-On Learning
Apply AWS data encryption in real scenarios to gain real-world experience.
100% Placement Assistance
we help you transition smoothly into top tech roles with confidence.
We offer Visualpath-provided AWS AI online training worldwide, along with all major Cloud and AI courses, including:
• AWS Certified Solutions Architect
• AWS Machine Learning Specialty
• Azure AI Engineer
• Google Cloud AI
• Data Science and Generative AI
Whether you're learning from India, the US, UK, or anywhere across the globe—Visualpath is your global learning partner.
Why is Data Encryption Important for AI in AWS?
AI pipelines typically deal with vast amounts of personally identifiable information (PII), financial data, healthcare records, and other sensitive datasets. Without encryption, organizations risk:
• Data breaches damaging trust
• Non-compliance with regulations like GDPR, HIPAA, or PCI DSS
• Leakage of AI models trained on private datasets
In short, AWS data encryption is not simply a best practice—it is a requirement for building enterprise-ready AI systems that users and businesses can rely on.
Top 5 FAQs – AWS Data Encryption in AI Pipelines
1. What is AWS data encryption and why is it important in AI pipelines?
It's the process of securing sensitive AI data at rest and in transit using cryptographic techniques to prevent unauthorized access.
2. Which AWS services support encryption for AI pipelines?
Services like S3, SageMaker, Redshift, Glue, and KMS all support encryption features.
3. How do I use KMS in an AI pipeline?
AWS KMS lets you create encryption keys and integrate them with AI services like SageMaker to encrypt models and data automatically.
4. Can I automate encryption in AWS pipelines?
Yes, using AWS CloudFormation or Terraform scripts, you can automate encryption setup for repeatable and secure deployments.
5. How does Visualpath help with AWS data encryption training?
Visualpath offers online AWS AI training with real-time projects, covering security topics like data encryption, IAM, and KMS usage.
Conclusion
Data encryption is a non-negotiable part of building secure AWS AI pipelines. By leveraging AWS tools like KMS, IAM, and S3 encryption, and following best practices, you can ensure that your machine learning workflows remain protected at every stage.
And if you’re looking to master these concepts and more, Visualpath’s expert-led AWS AI online training equips you with both knowledge and hands-on experience to stand out in the cloud job market.
Visualpath is a leading online training provider offering expert-led courses in Cloud, DevOps, and AI with hands-on learning and real-time projects.
We deliver worldwide training with 100% placement assistance to help professionals boost their careers in emerging technologies.
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What is Top 7 Principles of SRE (2025) and How to Use Real Time
Site Reliability Engineering (SRE) has become one of the most in-demand practices for modern IT and DevOps teams. As businesses scale digitally in 2025, they need systems that are reliable, automated, and highly efficient. This is where site reliability engineering steps in, combining software development skills with IT operations to ensure stability while enabling rapid innovation.
If you are looking to build a career in this field, understanding the core principles of SRE is a must. In this article, we’ll explore the top 7 Site Reliability Engineering principles in 2025 and see how you can apply them in real-time environments. Along the way, we’ll also share why enrolling in Visualpath-provided Site Reliability Engineering training can help you accelerate your learning journey.
1. Embrace Service Level Objectives (SLOs)
SLOs define what reliability looks like from a customer’s perspective. Instead of aiming for unrealistic 100% uptime, teams agree on measurable goals like 99.9% service availability. In real-time projects, SLOs help balance innovation with reliability by setting clear targets.
2. Monitor with Service Level Indicators (SLIs)
SLIs are the actual measurements of system performance such as latency, error rates, or request success ratios. By tracking SLIs in real time, SREs can detect potential issues before they impact end-users. This principle transforms raw data into actionable insights.
3. Manage Error Budgets
Not all failures are bad. Error budgets—based on how much downtime a system can tolerate—give developers freedom to innovate while keeping services reliable. Real-time application of this principle means continuously tracking whether your team is staying within the budget.
4. Automate Everything Possible
Automation is one of the key drivers of site reliability engineering. In 2025, automation isn’t optional—it’s a necessity to handle complex deployments, incident responses, and scaling. When applied to real-time systems, automation minimizes manual interventions and reduces human error.
5. Prioritize Reliability over Features
When deadlines approach, product teams may push for feature releases. However, the SRE principle insists on prioritizing stability first. Applying this in real time means delaying new features if the system’s health is at risk. Sustainable growth depends on reliability.
6. Conduct Blameless Postmortems
Incidents are inevitable. The principle of blameless postmortems encourages teams to analyze failures without pointing fingers. This helps document lessons learned and strengthens resilience. In real-time scenarios, it builds trust and accelerates continuous improvement.
7. Use Continuous Learning and Iteration
Technology evolves fast, and so should SRE practices. Continuous learning, experimenting with modern tools, and refining processes ensure that the team stays ahead. Real-time application involves regularly updating monitoring dashboards, automating new workflows, and reassessing SLOs.
Applying These Principles in Real Time
The top site reliability engineering principles are not just concepts; they demand real-time practice. For example, an e-commerce website during a festival sale must constantly track SLIs for transaction success rates, apply automation scripts for scaling, and rely on clear error budgets. Implementing these principles ensures high customer satisfaction without overwhelming engineering teams.
Working professionals and IT aspirants can sharpen these skills through Visualpath’s Site Reliability Engineering online training. The Visualpath program provides hands-on learning with real-time projects, giving you practical exposure to tackle challenges in dynamic IT environments.
Why Choose Visualpath?
With Visualpath, you don’t just learn theories—you gain industry-ready expertise.
In-Depth Online Training: Comprehensive modules covering SRE from basics to advanced concepts.
Real-Time Projects & Hands-On Learning: Work on live scenarios, not just simulations.
100% Placement Assistance: Dedicated support to land jobs in top companies.
Visualpath doesn’t stop at SRE. We also provide cloud and AI courses worldwide, ensuring you have access to the hottest tech skills of 2025. With Visualpath-provided SRE training, you set the foundation for a high-growth IT career.
Career Benefits of Learning SRE in 2025
• Growing demand for SRE roles across industries
• High salary packages compared to traditional IT jobs
• Opportunities to work with cloud, DevOps, and AI-integrated systems
• Strong career future in automation, performance engineering, and AI-driven IT operations
By mastering the above seven SRE principles, you not only secure technical expertise but also position yourself for leadership roles in reliability engineering.
What Are Real-Time Projects?
Real-time projects replicate live scenarios such as service outages, traffic spikes, or deployment failures. They require learners to use monitoring tools, automation scripts, and incident response protocols just as they would on the job.
Why Are Real-Time Projects Important?
• They build practical skills that employer’s value.
• Help you understand complex system interactions.
• Train you in problem-solving under pressure.
• Enhance your confidence by working with real tools like Kubernetes, Prometheus, and Grafana.
How to Make the Most of Real-Time Projects
1. Treat projects like live environments: Respond to alerts, troubleshoot issues, and perform rollbacks.
2. Practice automation: Write scripts to automate repetitive tasks and deployments.
3. Use monitoring and logging tools: Identify and analyze system performance using real data.
4. Document everything: Create incident reports and runbooks to develop good operational habits.
5. Review and learn: Conduct blameless post-mortems to identify root causes and avoid repeat failures.
How Visualpath Supports Real-Time Learning
Visualpath’s Site Reliability Engineering online training worldwide includes extensive real-time projects that mirror industry challenges. Their hands-on approach ensures you gain experience not only in theory but in practical, job-ready skills.
From setting SLOs to automating monitoring and incident handling, Visualpath provides an immersive learning experience supported by expert mentors and real-time project scenarios. You have the confidence to step into the workforce with practical expertise.
FAQs
1. What is Site Reliability Engineering in simple terms?
Site Reliability Engineering is a discipline that combines software skills with IT operations to make systems reliable, scalable, and automated.
2. Why should I learn SRE in 2025?
With cloud adoption and digital transformation at its peak, organizations worldwide are actively hiring SRE professionals to maintain reliability at scale.
3. How are SRE principles applied in real time?
They are applied by setting measurable goals (SLOs), monitoring systems with SLIs, managing error budgets, and automating routine tasks.
4. Can Visualpath help me get a job in SRE?
Yes, Visualpath offers industry-focused SRE training with live projects and 100% placement assistance to boost your career chances.
5. Are SRE skills useful beyond IT companies?
Absolutely. Industries like finance, healthcare, e-commerce, and telecom all rely on SRE practices to keep their digital services reliable.

Final Thoughts
Mastering the Site Reliability Engineering principles and applying them through real-time projects is the key to succeeding in today’s tech landscape. With the right training partner like Visualpath, you can gain the skills and confidence needed to thrive.
Explore Visualpath’s online courses in SRE, Cloud, and AI to future-proof your career and join the growing community of professionals driving reliability in modern systems.
Visualpath is a leading online training platform offering expert-led courses in SRE, Cloud, DevOps, AI, and more. Gain hands-on skills with 100% placement support.
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