With the increased complexity of IT environments, the rising cyber threats and the growing number of IT alerts, IT organizations have come to the realization that throwing more people at IT issues doesn't solve the problem. According to a recent DEJ study, putting more people on a particular IT issue is not an effective approach, so organizations are finding themselves at a turning point — and they have to take notice.
Respondents to the survey said that they experienced, on average, an 88 percent increase in processed metrics, events and alerts over the last 12 months. The study also found that 42 percent of organizations are reporting that the technology solutions they purchased in the past are not as effective when working with this level of volume and velocity of data.
What Do the Findings Tell Us?
Today, IT Organizations need to adapt quickly to new consumer behaviors which are driving increasingly growing business demands for IT services. And as the demand for digital services increases, so does the risk for service outages. Everyone in IT knows that major IT issues are unpredictable and unavoidable, and that 20th century tools and processes are no longer up for the task. Senior IT executives, along with business leaders, really need to rethink their IT strategy if they want to be able to fully embrace the future — made of big dta, AI and IoT.
Modern IT Stacks, Yet Operating with 1990's Processes
Engaging into digital transformation too late can severely hurt the business competitiveness
Every day we talk to IT leaders, we have conversations about the importance of modernizing their digital footprint so they can offer more — and faster. There is a consensus that customers' fast-changing expectations are the major driver behind digital transformation, and that engaging into digital transformation too late can severely hurt the business competitiveness. Discussions move quickly into Agile Development, Scrum team structures and DevOps, which is a good thing. It is now generally admitted that the old way of building IT services and applications (waterfall development) is no longer compatible with customers' high expectations of time to delivery and digital experience.
At the same time, there's a growing disconnect between the complexity of the new technology stack and tools organizations acquire, and the rudimentary processes they still use. This can quickly hurt both the effectiveness of the support functions, as well as the very ability of the organization to deliver new releases according to schedule.
Even in a perfect digital world, bad stuff will happen — retail websites slow down, they might not be available (DDoS, cyberattack), they might be experiencing a network outage, applications may fail, you may lose connection to your ERP, EMR, Supply Chain which impacts productivity and increases user frustration … in other words, the very same customers that you are trying to please with faster delivery may now be very frustrated with a poor quality of service when things break.
Faster Release Cycles Require Faster Response Cycles
IT leaders must review the three dimensions of their operations; their people, their processes and their technology.
Interestingly enough, the same DEJ study shows that IT Leaders have come to the conclusion that:
■ They cannot keep throwing more people to cope with the increasing number of IT issues
■ The investment they made in their ITSM platform, while necessary, is not sufficient any longer
■ Contextual information is critical when dealing with IT critical issues
■ Automation is no longer only used for tactical cost-cutting initiatives but that it is a must-have component to ensure consistent quality and delivery of IT services
As organizations acquire new technology and adopt new digital service delivery methods, they must also inspect their processes and people assignments to ensure that their processes will:
■ Support their service delivery goals (frequency of release)
■ Enable the cross functional teams to collaborate and participate in
■ Meet their SLAs and protect business users experience when issues occur
■ Provide Senior IT Executives insight into their response team performance for continuous improvement
■ Give a way to perform post-mortem reviews using the metrics and information collected
■ Store full audit trails including conversation recording for compliance
IT leaders should turn to Closed-loop Response Management solutions, which help to automate the traditional, manual and time-consuming processes including:
■ Automatically gauge the severity and context of the event
■ Identify in real time the right teams and personnel based on who's on-call, location, skillset, etc.
■ Engage the right teams in real time, Escalate, Collaborate and Orchestrate
■ Gain visibility into Incident Response across all areas of IT: Service Operations, Security Operations, DevOps and IT BC/DR
APM is becoming more complex as the days go by. Server virtualization and cloud-based systems with containers and orchestration layers are part of this growing complexity, especially as the number of data sources increases and continues to change dynamically. To keep up with this changing environment, you will need to automate as many of your systems as possible. Open APIs can be an effective way to combat this scenario ...
Two years ago, Amazon, Comcast, Twitter and Netflix were effectively taken off the Internet for multiple hours by a DDoS attack because they all relied on a single DNS provider. Can it happen again? ...
We're seeing artificial intelligence for IT operations or "AIOps" take center stage in the IT industry. If AIOps hasn't been on your horizon yet, look closely and expect it soon. So what can we expect from automation and AIOps as it becomes more commonplace? ...
Use of artificial intelligence (AI) in digital commerce is generally considered a success, according to a survey by Gartner, Inc. About 70 percent of digital commerce organizations surveyed report that their AI projects are very or extremely successful ...
Most organizations are adopting or considering adopting machine learning due to its benefits, rather than with the intention to cut people’s jobs, according to the Voice of the Enterprise (VoTE): AI & Machine Learning – Adoption, Drivers and Stakeholders 2018 survey conducted by 451 Research ...
AI (Artificial Intelligence) and ML (Machine Learning) are the number one strategic enterprise IT investment priority in 2018 (named by 33% of enterprises), taking the top spot from container management (28%), and clearly leaving behind DevOps pipeline automation (13%), according to new EMA research ...
Although Windows and Linux were historically viewed as competitors, modern IT advancements have ensured much needed network availability between these ecosystems for redundancy, fault tolerance, and competitive advantage. Software that offers intelligent availability enables the dynamic transfer of data and its processing to the best execution environment for any given purpose. That may be on-premises, in the cloud, in containers, in Windows, or in Linux ...
TEKsystems released the results of its 2018 Forecast Reality Check, measuring the current impact of market conditions on IT initiatives, hiring, salaries and skill needs. Here are some key results ...
Retailers that have readily adopted digital technologies have experienced a 6% CAGR revenue growth over a 3-year period, while other retailers that have explored digital without a full commitment to broad implementation experienced flat growth over the same period ...
As businesses look to capitalize on the benefits offered by the cloud, we've seen the rise of the DevOps practice which, in common with the cloud, offers businesses the advantages of greater agility, speed, quality and efficiency. However, achieving this agility requires end-to-end visibility based on continuous monitoring of the developed applications as part of the software development life cycle ...