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Gartner Top Strategic Technology Trends for 2023: Applied Observability and Digital Immune System

Pete Goldin
Editor and Publisher
APMdigest

Gartner announced the list of 10 top strategic technology trends that organizations need to explore in 2023, and two technologies in particular will be of special interest to APMdigest readers: Applied Observability and Digital Immune System.

Gartner says this year's top strategic technology trends will drive significant disruption and opportunity over the next five to 10 years.

Digital Immune System

76% of teams responsible for digital products are now also responsible for revenue generation. CIOs are looking for new practices and approaches that their teams can adopt to deliver that high business value, along with mitigating risk and increasing customer satisfaction. A digital immune system provides such a roadmap.

In a recent Gartner article, Joachim Herschmann, Senior Director Analyst on the Application Design and Development team at Gartner, explains: "A digital immune system combines a range of practices and technologies from software design, development, automation, operations and analytics to create superior user experience (UX) and reduce system failures that impact business performance. A DIS protects applications and services in order to make them more resilient so that they recover quickly from failures"

Digital immunity combines data-driven insight into operations, automated and extreme testing, automated incident resolution, software engineering within IT operations and security in the application supply chain to increase the resilience and stability of systems.

Herschmann says the prerequisites for a strong digital immune system include:

■ Observability

■ AI-augmented testing

■ Chaos engineering

■ Autoremediation

■ Site reliability engineering (SRE)

■ Software supply chain security

Gartner predicts that by 2025, organizations that invest in building digital immunity will reduce system downtime by up to 80% — and that translates directly into higher revenue.

Applied Observability

Observable data reflects the digitized artifacts, such as logs, traces, API calls, dwell time, downloads and file transfers, that appear when any stakeholder takes any kind of action. Applied observability feeds these observable artifacts back in a highly orchestrated and integrated approach to accelerate organizational decision-making.

"Applied observability enables organizations to exploit their data artifacts for competitive advantage," said Frances Karamouzis, Distinguished VP Analyst at Gartner. "It is powerful because it elevates the strategic importance of the right data at the right time for rapid action based on confirmed stakeholder actions, rather than intentions. When planned strategically and executed successfully, applied observability is the most powerful source of data-driven decision-making."

Pete Goldin is Editor and Publisher of APMdigest

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Gartner Top Strategic Technology Trends for 2023: Applied Observability and Digital Immune System

Pete Goldin
Editor and Publisher
APMdigest

Gartner announced the list of 10 top strategic technology trends that organizations need to explore in 2023, and two technologies in particular will be of special interest to APMdigest readers: Applied Observability and Digital Immune System.

Gartner says this year's top strategic technology trends will drive significant disruption and opportunity over the next five to 10 years.

Digital Immune System

76% of teams responsible for digital products are now also responsible for revenue generation. CIOs are looking for new practices and approaches that their teams can adopt to deliver that high business value, along with mitigating risk and increasing customer satisfaction. A digital immune system provides such a roadmap.

In a recent Gartner article, Joachim Herschmann, Senior Director Analyst on the Application Design and Development team at Gartner, explains: "A digital immune system combines a range of practices and technologies from software design, development, automation, operations and analytics to create superior user experience (UX) and reduce system failures that impact business performance. A DIS protects applications and services in order to make them more resilient so that they recover quickly from failures"

Digital immunity combines data-driven insight into operations, automated and extreme testing, automated incident resolution, software engineering within IT operations and security in the application supply chain to increase the resilience and stability of systems.

Herschmann says the prerequisites for a strong digital immune system include:

■ Observability

■ AI-augmented testing

■ Chaos engineering

■ Autoremediation

■ Site reliability engineering (SRE)

■ Software supply chain security

Gartner predicts that by 2025, organizations that invest in building digital immunity will reduce system downtime by up to 80% — and that translates directly into higher revenue.

Applied Observability

Observable data reflects the digitized artifacts, such as logs, traces, API calls, dwell time, downloads and file transfers, that appear when any stakeholder takes any kind of action. Applied observability feeds these observable artifacts back in a highly orchestrated and integrated approach to accelerate organizational decision-making.

"Applied observability enables organizations to exploit their data artifacts for competitive advantage," said Frances Karamouzis, Distinguished VP Analyst at Gartner. "It is powerful because it elevates the strategic importance of the right data at the right time for rapid action based on confirmed stakeholder actions, rather than intentions. When planned strategically and executed successfully, applied observability is the most powerful source of data-driven decision-making."

Pete Goldin is Editor and Publisher of APMdigest

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The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...