IT automation

Terraform is an infrastructure as code (IaC) tool that lets developers use human readable code to provision, update and destroy infrastructure components.

Whether you’re actively migrating or just evaluating options, learn why and how organizations are transitioning from monitoring to observability.

LLM observability is the practice of gathering data about an LLM-based system in production to understand, evaluate, and optimize it.

IT service management (ITSM) is the practice of planning, implementing, managing and optimizing IT services to meet user needs and business goals.

SLAs describe the level of performance to be expected, how performance will be measured and repercussions if levels are not met.

Six strategies for achieving IT cost optimization.

Observability is the extent to which developers can understand the internal state or condition of a complex system based solely on knowledge of its external outputs.

An API gateway is an API management tool that acts as an intermediary between an API client and backend services.

A superior customer experience (CX) is built on accurate and timely application performance monitoring (APM) metrics.

A service level agreement (SLA) is a contract between a service provider and a customer that outlines the terms and expectations of provided service.

Leverage educational content like blogs, articles, videos, podcasts, reports and more, crafted by IBM experts, on emerging IT automation technologies.

Problem management is the process of identifying, managing and finding solutions for the root causes of incidents on an IT service.

Website monitoring is the practice of tracking website and web service performance to ensure maximum availability and an optimal user experience.

Generative AI is just one tool in the toolbelt that helps improve developer productivity with methodologies, frameworks and best practices.

Incident management is a process used by ITOps and DevOps teams to address unplanned events that can affect service quality or service operations.

A checklist to help you find and implement the best possible observability platform to keep all your applications running bright.

A service level objective (SLO) is an agreed-upon performance target for a particular service over a period of time.

In this post, we're delving into another misconception about observability—that it's solely applicable to a specific part of your stack or application.

Single pane of glass (SPOG) is a dashboard or platform that provides centralized, enterprise-wide visibility into various sources of data in an organization.

In this post, we'll tackle another myth about observability—that you can create an observable system without observability driven by automation.

How automation—when applied to IT and AIOps—helps you achieve better business results in three key areas.

In this article, we will focus on the misconception that “observability is always expensive.”

In this article, we'll tackle the common myth that observability is only relevant and beneficial for large-scale systems or complex architectures.

In this post, we're exploring another myth that limits the potential of observability—that it's exclusively built for site reliability engineers (SREs).

Incident and problem management are two important processes for issue and error control, maintaining uptime, and delivering a great service to customers.

In this blog post, we will shed light on a myth surrounding observability: "You can skip monitoring and rely on logs.”

IT automation is the creation and implementation of automated processes and software in place of time-consuming manual activities.

Six strategic use cases for AIOps and practical next steps to guide your AIOps journey.

Distributed tracing is a technique that addresses the challenges of logging information in microservices-based applications.

How AIOps can help your IT staff move from a “break-fix” approach to one that’s more predictive and proactive.