Gartner IT Infrastructure, Operations & Cloud Strategies Conference 2022
Day 2 Highlights
We are bringing you news and highlights from the Gartner IT Infrastructure, Operations & Cloud Strategies Conference. Below is a collection of the key announcements and insights coming out of the conference.
On Day 2 from the conference, we are explaining the importance of the IT infrastructure and operations (I&O) operating model, identifying the top technology trends impacting DevOps, and taking a look at monitoring and observability in a hybrid cloud world.
The I&O Operating Model: What It Is, Why It Is Important, and How It Can Transform Your Organization
Presented by Mark Margevicius, VP Analyst, Gartner
The long-term success of I&O is dependent upon providing maximum value to the business, while simultaneously aligning to the operational requirements of the organization. A well-constructed operating model facilitates this alignment and allows I&O lLeaders to effectively devise a strategy and plan of execution. In this session, Mark Margevicius, VP Analyst at Gartner, discussed what an operating model is and how it can elevate and transform I&O.
“When done correctly, an operating model introduces new ways to provide higher levels of agility and operational excellence. It really is the essence of how work gets done.”
“Operating models aren’t static. They’re dynamic, based on the needs and requirements that exist today, as well as the nature of competitive forces, external factors and variables that may be out of your control.”
“Understand the business capabilities of I&O and how you define value. That ultimately leads to a higher degree of differentiation and is the first step towards a much more refined IT operating model.”
“If I&O were to remain partitioned off as just a technical element of value, it will become disjointed from the business strategy over time.”
“While org charts are familiar and simple to understand, they usually don’t reflect how work gets done or how decisions are made.”
“Start at a service level as it has immediate value to the business. It enables engagement with other lines of business and allows you to be viewed as more than an I&O organization that provides infrastructure.”
Top Technology Trends Impacting DevOps
Presented by Manjunath Bhat, VP Analyst, Gartner
A firm grasp of the top technologies and trends impacting DevOps and agile initiatives will enable I&O leaders to upskill their teams, modernize their practices and adopt new tools. In his session,Manjunath Bhat, VP Analyst at Gartner, outlined six technology trends impacting DevOps for 2022, which spanned three main categories: product engineering, platform engineering and resilience engineering.
Value Stream Platforms: The end-to-end sequence of activities performed to deliver value to the customer, from building and deploying an application to maintaining it in production. There are 2 types: 1) value stream management platforms and 2) value stream delivery platforms.
AI augmented devops: The use of AI-enabled technologies to augment the entire software development life cycle. One example of this is email platforms auto generated or auto complete a user’s draft sentences.
Continuous infrastructure automation: This trend applies agile and DevOps practices such as version control, continuous testing and CI/CD to infrastructure code rather than application code, bringing the same benefits to apps teams and I&O teams alike.
Gitops: A technique for operating a cloud native application using only declarative constructs stored in Git, which is increasingly popular with organizations that are using Kubernetes and containers.
Site Reliability Engineering (SRE): A software engineering mindset that uses automation to reduce toil, or low value tasks, as the guiding principle.
Chaos engineering: The use of experimental and potentially destructive failure testing in pre-production to uncover vulnerabilities and weaknesses (e.g., single points of failure, latency) within a complex production system.
Monitoring and Observability in a Hybrid Cloud World
Presented by Padraig Byrne, Senior Director Analyst, Gartner
Organizations are rapidly adopting multicloud, containers and microservices. Yet, they struggle to migrate their existing monitoring infrastructure to ephemeral architectures, leaving frustrated end users and large gaps in visibility. In this session, Padraig Byrne, Senior Director Analyst at Gartner, outlined how to use modern monitoring and observability tools and methodologies to better understand applications.
“The fleeting, on-demand nature of modern environments creates great challenges for IT operations in understanding how the applications and services over the top of these actually perform. We have to radically redesign how we think about monitoring these systems.”
“To get insight into how your applications are performing, focus on how end-users are interacting with them. Understand their journey through the system, rather than the individual components of it, and how their experience ties into the underlying environment.”
“What makes containers great, makes them very hard to manage. A very large number of containers have a very short lifespan of minutes, sometimes seconds. This completely changes how you have to think about monitoring.”
“Don’t monitor something simply because it exists. Do it in a way that is meaningful and relevant to your end-users, critical applications and services in your environment.”
“Investigate open source and commercial observability tools. Use tools to help you align where your needs are versus what can be provided by each of these tools. Do this with an eye to the future.”
“Skill up your team. This is as much about the people as it is about the tools. Look to broaden skill sets to move beyond the traditional IT operations mindset of just working in an operations environment, to something that is much more agile and DevOps aligned.”
If you are interested, click here to watch the full recordings.
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(See the full article here: Gartner)