Everyone in IT has heard of AIOps by now. You may even be using products or features called AIOps. But what is AIOps, really? With input from industry experts — both analysts and vendors — this 10-part blog series will try to answer this question. And explore the advantages, challenges, and future of AIOps ...
AIOps
As the Great Resignation continues and turnover rates climb, organizations across industries are struggling to keep top talent — especially in the developer, delivery, platform and security realms. Ongoing digital transformation efforts have put additional pressure on organizations to keep up with the accelerating pace of innovation; multi-cloud environments are becoming the new norm — bringing with them novel IT complexity concerns; and cybersecurity threats continue to proliferate across the enterprise ...
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 6, the final installment in this series, covers BizDevOps and the business side ...
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 5 covers testing and quality ...
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 4 covers cloud and containers ...
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 3 covers how AIOps brings Dev and Ops together to make DevOps ...
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 2 covers AIOps capabilities such as observability and automation ...
AIOps has gained the reputation as a must-have technology for IT operations. But why are we talking about AIOps on a site devoted to DevOps? Clearly AIOps delivers benefits to DevOps teams and developers, as well as the obvious expected beneficiaries on the IT Ops side. This DEVOPSdigest list explores just what those benefits are ...
Scaling DevOps and SRE practices is critical to accelerating the release of high-quality digital services. However, siloed teams, manual approaches, and increasingly complex tooling slow innovation and make teams more reactive than proactive, impeding their ability to drive value for the business, according to a new report from Dynatrace, Deep Cloud Observability and Advanced AIOps are Key to Scaling DevOps Practices ...
As we look into the future direction of observability, we are paying attention to the rise of artificial intelligence, machine learning, security, and more. I asked top industry experts — DevOps Institute Ambassadors — to offer their predictions for the future of observability. The following are 10 predictions ...
We're all familiar with the process of QA within the software development cycle. Developers build a product and send it to QA engineers, who test and bless it before pushing it into the world. After release, a different team of SREs with their own toolset then monitor for issues and bugs. Now, a new level of customer expectations for speed and reliability have pushed businesses further toward delivering rapid product iterations and innovations to keep up with customer demands. This leaves little time to run the traditional development process. QA can no longer act as a major, individual step ...
There are several forces that are going to impact this field that we'll see in 2021. Let's get a peek into DevOps' future with an eye on some trends that have already shown up ...
Given the limitations of the existing IT solutions to manage data, enterprises are leveraging AIOps to undertake a host of activities. These include understanding and predicting customer behavior, detecting anomalies and determining their reasons, and offering prescriptive advice. It helps to detect dependencies responsible for creating issues in an IT infrastructure. Also, with AI having features such as containerization, continuous monitoring, predictive or adaptive cloud management, enterprises can gain a next-gen perspective on their business ...
DEVOPSdigest posed the following question to the development community: How should DevOps and development adapt to the new normal? In response, DevOps industry experts offered their best recommendations for how development teams can adapt to this new remote work environment. Part 3 covers visibility and alignment ...
The entire objective of DevOps was to bring myriad cultural philosophies, practices, and tools under the same roof so that organizations could deliver applications, products, and services at high velocity — to better serve their customers and gain a competitive edge. However, in truth, adopting a DevOps approach, and to capitalize on its benefits, offers a multitude of concerns — it's easier said than done ...
Advances in GPU/TPU technology, and the development of new platforms and frameworks have enabled an explosion in AI and Machine Learning, while new platforms from Amazon, Microsoft and others have put pre-built frameworks firmly in the grasp of developers. Despite all this movement, however, we are still definitely very early in the transition to using AI to transform software development — commonly referred to as Software 2.0, or AIOps ...
In 2020, DevOps teams will face heightened expectations for higher speed and frequency of code delivery, which means their IT environments will become even more modular, ephemeral and dynamic — and significantly more complicated to monitor. As a result, AIOps will further cement its position as the most effective technology that DevOps teams can use to see and control what's going on with their applications and their underlying infrastructure, so that they can prevent outages. Here I outline five key trends to watch related to how AIOps will impact DevOps in 2020 and beyond ...
Industry experts offer predictions on how DevSecOps and related technologies will evolve and impact the business in 2020 ...
In today's competitive landscape, businesses must have the ability and process in place to face new challenges and find ways to successfully tackle them in a proactive manner. For years, this has been placed on the shoulders of DevOps teams within IT departments. But, as automation takes over manual intervention to increase speed and efficiency, these teams are facing what we know as IT digitization. How has this changed the way companies function over the years, and what do we have to look forward to in the coming years? ...
DEVOPSdigest asked DevOps experts for their predictions on how DevOps and related technologies will evolve and impact business in 2019. Part 6, covers DevOps Analytics, including AI and Machine Learning ...
The industry is revealing increasingly optimistic attitudes towards mainframes, with 93% of executives and 92% of all respondents viewing the mainframe as a strong long-term platform – the highest level in five years – according to the 2018 Mainframe Research Report from BMC ...