A log management strategy is a planned approach for collecting, storing, analysing and disposing of log data from computer systems and applications. Its purpose is to ensure that important events and errors are recorded, easy to find, and kept safe for as long as needed. By having a clear strategy, organisations can quickly detect problems,…
Application Performance Management, or APM, is a set of tools and practices used to monitor and manage how software applications perform. It helps organisations understand how their applications are running, whether they are responding quickly, and if users are experiencing any issues. By collecting data on things like response times, error rates, and usage patterns,…
An observability framework is a set of tools and practices that help teams monitor, understand, and troubleshoot their software systems. It collects data such as logs, metrics, and traces, presenting insights into how different parts of the system are behaving. This framework helps teams detect issues quickly, find their causes, and ensure systems run smoothly.
Chaos Engineering is a method of testing computer systems by intentionally introducing problems or failures to see how well the system can handle unexpected issues. The goal is to find weaknesses before real problems cause outages or data loss. By simulating faults in a controlled way, teams can improve their systems’ reliability and resilience.
Site Reliability Engineering (SRE) is a discipline that applies software engineering principles to ensure that computer systems are reliable, scalable, and efficient. SRE teams work to keep services up and running smoothly, prevent outages, and quickly resolve any issues that arise. They use automation and monitoring to manage complex systems and maintain a balance between…
DevOps automation refers to using technology to automatically manage and execute tasks within software development and IT operations. This includes activities like building, testing, deploying, and monitoring applications without manual intervention. By automating these repetitive processes, teams can deliver software faster, reduce errors, and improve consistency across systems.
A Continuous Delivery Pipeline is a set of automated steps that take software from development to deployment in a reliable and repeatable way. This process covers everything from testing new code to preparing and releasing updates to users. The goal is to make software changes available quickly and safely, reducing manual work and errors.
Configuration management is the process of systematically handling changes to a system, ensuring that the system remains consistent and reliable as it evolves. It involves tracking and controlling every component, such as software, hardware, and documentation, so that changes are made in a controlled and predictable way. This helps teams avoid confusion, prevent errors, and…
API Lifecycle Management is the process of planning, designing, developing, testing, deploying, maintaining, and retiring application programming interfaces (APIs). It helps ensure that APIs are reliable, secure, and meet the needs of both developers and end users. Good API lifecycle management streamlines updates, tracks usage, and simplifies support over time.
Feature store implementation refers to the process of building or setting up a system where machine learning features are stored, managed, and shared. This system helps data scientists and engineers organise, reuse, and serve data features consistently for training and deploying models. It ensures that features are up-to-date, reliable, and easily accessible across different projects…