It’s no secret that the digital transformation essentially broke IT operations. With the rise in technology came a rise in outages capable of bringing organizations to a screeching halt. Those outages are expensive, and for years, the same number was thrown around as the authority on how much an outage cost (around $5,600 per minute). This number took off and was used in presentations, sales decks and other resources for years. But how could this number have stayed the same year over year?
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”.
Over the years, as companies have moved from monolith to cloud-native architectures, maintaining high availability has become more challenging. After all, today’s IT ecosystems are complex, distributed and ephemeral, making it increasingly difficult (and, in many cases, downright impossible) for DevOps practitioners and SREs to identify and fix issues manually.
Welcome back! In the previous blog, we discussed with our panelists Carlos Casanova, Forrester principal analyst, and Gowrisankar Chinnayan, who heads product management at ManageEngine, why organizations should adopt AIOps, and the challenges they face. Let’s start by acknowledging the increasing interest in AI. More enterprises are adopting AI-based solutions as they discover how AI can help manage IT operations.
We are excited to announce that Elastic has been recognized as a Strong Performer in The Forrester Wave™: Artificial Intelligence for IT Operations (AIOps), Q4 2022 in our first year participating! As organizations modernize their infrastructure and applications, operations and development teams are faced with an exponential growth in data.
We are excited to announce that ScienceLogic has excelled in the Forrester Wave for AIOps again! We are proud to be named a Strong Performer this year—receiving the highest marks possible in the product vision, execution roadmap, performance, and automation and remediation criterion. Our Chief Product Officer, Michael Nappi, spoke about this great news, our recent acquisition of Zebrium, and ScienceLogic’s own journey to AIOps.
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.
AWS re:Invent has come and gone. A great deal of fun was had along with many new insights shared. Here’s a recap from some ScienceLogicians who were in attendance.
Introducing ScienceLogic Forum. Designed to expand your ability to see, contextualize, and act to reinforce the framework of AIOps.
Welcome back! In the previous blog, we discussed what AIOps is and the significant role it plays in ITOps with our panelists: Carlos Casanova, Principal Analyst at Forrester, and Gowrisankar Chinnayan, head of product management at ManageEngine. In this blog, I am going to walk you through the rest of our discussion. Our talk revolved around the reasons why organizations should adopt AIOps.
Did you know that Artificial Intelligence began as an experimental program? However, as the global spending on Artificial Intelligence stood at over $118 billion in 2022 and continues to grow, it's become apparent that this is one experiment that's here to stay and will completely transform the way business operations are undertaken.
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.
With digital transformations continuing apace and the popularity of cloud-native and microservice-based applications and architectures growing, Gartner sees investments in such technologies and services increasing, predicting that "cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 - up from less than 40% in 2021."
Deploying software to support the work of an enterprise is an increasingly complex job that’s often referred to as ‘devops.’ When enterprise teams started using artificial intelligence (AI) algorithms to more efficiently and collaboratively run these operations, end users coined the term AIOps for these tasks.
