I would like to highlight some of the predictions made at the start of 2018, and how those have panned out, or not actually occurred. I will review some of the predictions and trends from APMdigest's 2018 APM Predictions.
Here is Part 2:
Start with Looking Back at 2018 APM Predictions - Did They Come True? Part 1
Microtrends
The use of chatbots and other connected assistants have not yielded any benefits in the IT Operations space in 2018, but there are many emerging startups in this area looking to change that over the coming years. While several companies such as ServiceNow and Microsoft made acquisitions in this market, they haven’t produced anything tangible, especially not in 2018. Time will tell if these are a passing fad or they become a cornerstone of computing.
IoT is still nascent, especially in the APM market. The predictions about its growing importance and adoption of APM for IoT are still generally immature and early stage. There are some incredible stories for those doing this, but it’s still a very small number today. Those predictions around IoT are likely too early.
Similarly, Blockchain doesn’t even go there, way too early considering how few real implementations of Blockchain are implemented in production at this point. Maybe in another five years, we can begin to make some predictions, but it will likely be longer before Blockchain performance management solutions are needed by the market.
Culture and Communication
The biggest barrier to transformation is culture and people. This has been clear from every major CIO survey conducted in the last 10 years of economic growth in this bull market. Our communications and the way we do incident response have evolved significantly. The players in this space are solving an extremely important problem, one which MAY change the culture of an organization. This trend will continue as these technologies become essential to better communication of increasingly distributed workforces.
The codification of the role of the SRE by the excellent second book from Google has helped the industry understand how to apply DevOps in an even more concrete manner. The predictions about SRE were spot on, as SRE has become the gold standard for managing and operating applications. Still early for most organizations, but now on the radar. There were several predictions about SRE for the past year. I would, however, say that the vendors who predicted DevOps and culture change by a tool were sadly far from reality. Tools don’t change cultures, but cultural changes often require tool changes.
Wrapping up a great 2018, I wish everyone a productive and creative 2019 where we can listen, learn, innovate, share, and advance our group of APM vendors and practitioners. There are many problems to solve, and new approaches being invented daily by this amazing community.
The Latest
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...