Continuous integration and continuous delivery/deployment (CI/CD) pipelines are integral to software development and management nowadays, yet there seems to be a lot of confusion about what CI/CD actually is. In this article, learn about the definitions and explanations of CI/CD, the difference between CI and CD—and the difference between CI/CD and DevOps.
The definition of AIOps continues to evolve, but understanding the fundamentals of how it works can help you keep up and invest in the right AIOps platform, tools, and features. According to Gartner, AIOps “combines big data and machine learning to automate IT operations processes”. Specifically, Gartner explains that “AIOps platforms analyze telemetry and events, and identify meaningful patterns that provide insights to support proactive responses”.
Organizations are under pressure to deliver software faster than ever before. Continuous integration and continuous delivery (CI/CD) help them meet that demand. Companies are turning to CI/CD to speed up the software development process and increase efficiency. In this article, learn about what CI/CD is, the benefits of using it and some of the challenges that come with it.
In the world of IT, there are two main approaches to managing changes—the information technology infrastructure library (ITIL) and continuous integration and continuous delivery/deployment (CI/CD). Both have their own benefits and drawbacks, so it’s important to understand the difference between them before deciding which one is right for your organization. In this article, learn about the difference between CI/CD and ITIL, and find out which approach is best for your needs.
IT operations move fast. If you’re an ITOps leader, you need to be moving just as fast to make sure your team has what it needs. Positioning your team for success isn’t easy: complexity in IT is increasing every year and can reach a point where it exceeds a person’s capacity to keep pace. In the face of massive growth, ITOps teams can face major challenges with productivity, burnout and efficiency.
If you’re in IT, no doubt you’ve heard the age-old statistic that an average minute of downtime costs $5,600. It turns out that information is a bit outdated and does not reflect the real and nuanced costs of a modern IT outage. BigPanda suspected this and wanted to uncover the true numbers behind outage costs so ITOps can have a better understanding of costs, causes and “cures” of an IT outage.
With BigPanda’s self-service Email Parser, extracting alert data from emails has never been more simple. In our latest video in the Fast track series, we explore the benefits of this tool. This parser is ideal for monitoring tools and systems that do not support REST API and or rely solely on email to generate and send alerts. So no matter what tools your organization utilizes, this feature can help you turn all of those alert emails into actionable incidents within BigPanda’s platform.
Event correlation is a powerful capability that can help reduce IT noise, detect incidents in real-time, and improve the performance of critical applications and services. Read on for a deep dive into event correlation as we explore everything from its origins to its current state-of-the-art techniques. We’ll also discuss how event correlation fits into the bigger picture of integrated service management.
Healthcare around the world is constantly evolving. The amount of data being generated daily from every appointment and interaction, no matter how small or large, needs to be processed and analyzed in order to improve patient outcomes. The data must be accurate, stored, accessible and secure. Without a core infrastructure of smart IT, any outcomes are extremely challenging to generate, and data must be available in seconds for doctors to make life-saving decisions. The bottom line?
Event correlation and AIOps go hand-in-hand. Event correlation is the process of identifying patterns in data that may indicate a problem or opportunity.
