Bluemix Monitoring And Analytics

First, this IBM Bluemix Monitoring And Analytics Training will introduce you to Cloud Computing, OnDemand vs. XaaS, Cloud Deployment Models and IBM Cloud Offerings, IBM Bluemix Capabilities, Introduction to Cloud Foundry, Docker, Virtual Servers, and many other topics. In addition, we designed this course to help you create, install, and test mobile data applications based on this Platform.

First, IBM Bluemix is a cloud-based Platform as a service (PaaS) by IBM; Blue Mix supports multiple languages, services, and DevOps for running and distributing applications. This Platform as a Service (PaaS) is a one-stop approach to all these issues of obsolescence, hardware, and software constraints.

However, IBM’s Bluemix allows developers to quickly build and maintain cloud applications and also offers access to a wide variety of services that can incorporate into the program. To summarize, you’ll get hands-on practice on Bluemix fundamentals, access to Compose UI, Cloud Foundry and Ethical Practices, designing, running, installing, and manage applications on the cloud, SoftLayer infrastructure, etc. You will also get exposed to real-time industry-based projects in different verticals.

Why should you choose Nisa for Bluemix Monitoring And Analytics?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and are happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you are working on IBM Bluemix and facing any problem while working on it, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to help them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job Support.
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re using.
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from us.
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

IBM Bluemix Monitoring And Analytics Training

Duration: 30 Hours

Timings: Weekdays  (1-2 Hours per day)  [OR]  Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive Sessions.

COURSE CONTENT :

1. Introduction to IBM Cloud and Monitoring Concepts

• Overview of IBM Cloud and its services
• Introduction to cloud monitoring and the importance of performance analytics
• Types of monitoring: Infrastructure, Application, and Network monitoring
• Key components and tools available for monitoring in IBM Cloud

2. IBM Cloud Monitoring Tools

• IBM Cloud Monitoring with Sysdig:

  • Overview of IBM Cloud Monitoring powered by Sysdig
  • Setting up monitoring for applications and infrastructure
  • Collecting metrics from cloud resources (CPU, memory, network, disk, etc.)
  • Configuring alerts and dashboards
  • Exploring the Sysdig interface for insights

• IBM Cloud Application Performance Management (APM):

  • Introduction to IBM APM for cloud-native applications
  • Setting up APM for monitoring application performance
  • Configuring monitoring agents for various application types (Java, Node.js, Python, etc.)
  • Real-time performance monitoring and diagnostics
  • Root cause analysis and troubleshooting using APM

• IBM Cloud Log Analysis:

  • Introduction to logging in IBM Cloud
  • Configuring log management with IBM Log Analysis
  • Understanding log aggregation and analysis
  • Using the IBM Cloud Log Analysis dashboard
  • Searching and filtering logs for insights

3. Setting up and Configuring Monitoring Services

• Deploying and integrating monitoring agents across different cloud resources
• Using the IBM Cloud console to manage and view monitoring data
• Configuring custom metrics and tags for better tracking and analysis
• Setting up alerting rules based on resource thresholds or anomalies

4. Analyzing and Interpreting Data

• Understanding metrics: CPU, memory, disk, and network usage
• Visualizing data with dashboards and graphs
• Identifying trends, anomalies, and performance bottlenecks
• Correlating data across infrastructure and application layers for deeper insights
• Leveraging IBM Watson for AI-driven insights (if applicable)

5. Troubleshooting and Performance Tuning

• Investigating performance issues using IBM Cloud APM and Sysdig
• Optimizing application and infrastructure performance based on analytics
• Identifying root causes of slowdowns, errors, and outages
• Best practices for troubleshooting in a cloud-native environment

6. Integrating Monitoring with DevOps

• Integrating monitoring into a DevOps pipeline
• Continuous monitoring for continuous integration/continuous deployment (CI/CD) environments
• Feedback loops for improving application performance and reliability
• Automating monitoring and alerting in DevOps workflows

7. Advanced Features and Integrations

• Setting up cross-region monitoring for global applications
• Integrating with third-party monitoring tools (e.g., Prometheus, Grafana)
• Using IBM Cloud Monitoring APIs for custom integrations
• Creating custom metrics and events for deeper visibility

8. Best Practices and Security Considerations

• Best practices for managing and analyzing cloud application performance
• Securing monitoring data and ensuring privacy compliance
• Handling large-scale environments and ensuring scalability of monitoring solutions
• Automating incident response using monitoring insights