The Bipolar Lock keeper

My name is Graham and I have a superpower called Bipolar Disorder (BD) Type 2.

I have returned to the North West (Todmorden, West Yorks) after 35 years down South.

I have bought a lovely house by The Rochdale Canal. Both the house and location have the WOW Factor. I live with my younger son (23).

This blog is about how I deal with the BD highs & lows given the stresses in my life.

Thanks for reading. I’d love it if you’d leave a comment (good or bad)

Graham

IT terminology

  1. Service Level Agreement (SLA) – A contract defining the expected level of service between a provider and a client.
  2. Incident – An unplanned interruption or reduction in the quality of an IT service.
  3. Problem – The underlying cause of one or more incidents.
  4. Change Management – The process of managing changes to IT services and infrastructure.
  5. Configuration Management – The process of maintaining information about configuration items in a system.
  6. Service Request – A user request for information, advice, or access to an IT service.
  7. ITIL (Information Technology Infrastructure Library) – A framework for IT service management best practices.
  8. Availability – The proportion of time a service is operational and accessible.
  9. Capacity Management – The process of ensuring that IT infrastructure is provided at the right time in the right volume.
  10. Disaster Recovery – Strategies and processes for recovering IT services after a disaster.
  11. User Acceptance Testing (UAT) – Testing conducted by end users to validate the functionality of a system.
  12. Help Desk – A service providing support and assistance to users facing IT issues.
  13. Root Cause Analysis (RCA) – The process of identifying the primary cause of incidents.
  14. Knowledge Management – The process of creating, sharing, using, and managing knowledge and information.
  15. Service Catalog – A list of all available IT services, including details and request processes.
  16. Hosting Provider – A company that offers services to store and manage websites and applications on servers.
  17. Shared Hosting – A hosting model where multiple websites share the same server resources.
  18. Dedicated Hosting – A model where a single server is dedicated to one client, providing full control and resources.
  19. Virtual Private Server (VPS) – A hosting solution that mimics a dedicated server within a shared hosting environment, providing more control and resources.
  20. Cloud Hosting – A scalable hosting solution that uses multiple servers in a cloud environment to provide resources as needed.
  21. Data Center – A facility used to house computer systems and associated components, such as storage and networking equipment.
  22. Bandwidth – The amount of data that can be transmitted over a network in a given time period.
  23. Uptime – The percentage of time a hosting service is operational and accessible.
  24. Backup – The process of creating copies of data to restore in case of loss or corruption.
  25. Content Delivery Network (CDN) – A system of distributed servers that deliver web content based on the user’s geographic location.
  26. Domain Name System (DNS) – A system that translates domain names into IP addresses, allowing browsers to load Internet resources.
  27. SSL (Secure Sockets Layer) – A standard security protocol for establishing encrypted links between a web server and a browser.
  28. Load Balancer – A device or software that distributes incoming traffic across multiple servers to ensure no single server is overwhelmed.
  29. Scalability – The capability of a hosting solution to handle increased load by adding resources without significant disruption.
  30. API (Application Programming Interface) – A set of protocols that allow different software applications to communicate with each other.
  31. Dataset – A collection of data, usually organized in a structured format.
  32. Data Cleaning – The process of correcting or removing inaccurate, incomplete, or irrelevant data.
  33. Descriptive Statistics – Statistical methods used to summarize and describe the main features of a dataset.
  34. Inferential Statistics – Techniques that allow conclusions to be drawn about a population based on a sample of data.
  35. Regression Analysis – A statistical method used to examine the relationship between variables.
  36. Correlation – A measure of the relationship between two variables, indicating how they change together.
  37. Outlier – A data point that differs significantly from other observations in a dataset.
  38. Hypothesis Testing – A statistical method used to determine the validity of a hypothesis based on sample data.
  39. look Data Visualization – The graphical representation of data to identify patterns, trends, and insights.
  40. Machine Learning – A branch of artificial intelligence that uses algorithms to analyze and learn from data.
  41. Feature Engineering – The process of selecting, modifying, or creating variables (features) to improve model performance.
  42. Big Data – Extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations.
  43. Data Mining – The practice of examining large datasets to discover patterns and extract useful information.
  44. Time Series Analysis – Techniques used to analyze data points collected or recorded at specific time intervals.
  45. Predictive Analytics – The use of statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.
Graham Jons

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