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Over the years, I have watched and written about online retail and e-commerce IT performance. What I have seen is a maturing of the online retail channels when it comes to delivering customer experiences. This year we saw few, if any, major issues with online retailers. This is where many retailers have matured over the years.
This is typically the first thing that comes to mind for IT professionals working in the retail industry when evaluating holiday readiness. CEOs of hybrid retailers prioritize e-commerce growth over in-store shopping, investing heavily in their online storefronts. Technology to the rescue? That lesson remains important.
For retailers, the countdown to the holidays has begun, even if it’s still six months away. Black Friday preparation is the culmination of retailers’ efforts to attract and sustain customer relationships during the holiday season and beyond. It’s no longer a one-day event. This further expands an already complex attack surface.
It provides an insightful example: " Cybercriminals load malicious code onto retailers' websites to steal shoppers' credit card details, with 4,800+ unique websites compromised on average every month. It is no surprise that web attacks rose by 56% in the last year alone, reports Norton's 2019 Internet Security Threat Report.
If the mantra in sales is “Always be closing,” the mantra for online retail storefronts is “Always be online.”. As Alois Reitbauer, chief technology strategist at Dynatrace, noted in 2020, organizations shouldn’t be caught off guard during Black Friday and other high-volume times. What’s the problem with Black Friday traffic?
While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js
Organizations in every industry are engaged in some form of digital transformation, integrating technology into all areas of the business. Digital tools and technologies provide a more efficient way of doing things. However, digital transformation requires significant investment in technology infrastructure and processes.
And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Retailers can analyze how factors such as demand, competition, and market trends affect pricing.
The global impact has affected almost every major industry, resulting in closed bank branches , ground stops on flights , failures for retail point-of-sale devices, and, unfortunately, much more. Many organizations are struggling to determine the extent of the issue, and where dependencies exist with those impacted machines.
The continued growth of e-commerce has led to digital transformation moving at unprecedented speeds, as retailers compete for the attention of over 2.1 But as online stores have expanded, they’ve become more complex, and so has the technology underpinning them. billion online shoppers. The rise of cloud complexity.
From new standards for automation and security convergence to redefining sustainability in IT, these shifts represent not just technological advancements but paradigm changes in how organizations operate, innovate, and compete. For example, a global retailer could leverage observability to track energy efficiency across its data centers.
As organizations continue to undergo digital transformations, more and more of their business processes are dependent on increasingly complex digital technologies. Business process monitoring examples: A retail use case It can be helpful to put business processes in the context of a specific type of business or industry.
Possible scenarios A retail website crashes during a major sale event due to a surge in traffic. To manage high demand, companies should invest in scalable infrastructure , load-balancing, and load-scaling technologies. This often occurs during major events, promotions, or unexpected surges in usage.
For retail organizations, peak traffic can be a mixed blessing. But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. The nightmare scenario for online retailers during peak periods, such as Black Friday and Cyber Monday, is a system crash.
Cloud-native technologies are driving the need for organizations to adopt a more sophisticated IT monitoring approach to satisfy the competitive demands of modern business. Business observability is emerging as the answer. The ongoing drive for digital transformation has led to a dramatic shift in the role of IT departments.
This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. retail giant, initially tied to an ingest-centric pricing vendor, found itself manually curbing costs by limiting daily log ingestion to 3 TB and reducing retention periods. A prominent U.S. 1 million in savings.
The 2024 State of AI Report highlights this trend, with 89% of technology leaders anticipating that AI will significantly enhance incident response by learning to automate and optimize various tasks, such as performance monitoring and workload scheduling. AI, especially AIOps, has emerged as a pivotal solution, promising to avoid downtime.
The growing need for observability in digital transformation Digital transformation and the ubiquitous adoption of multicloud and cloud-native technologies have made observability mandatory. Director of infrastructure, software sector “ Strong technology and stronger people.
15 years is a long time in the world of technology. Storage was one of our biggest pain points, and the traditional systems we used just weren’t fitting the needs of the Amazon.com retail business. Back then, Amazon was ~2% of its size today, and was growing faster than traditional IT systems could support.
Banking customers now expect digital experiences on par with those delivered by leading e-commerce and technology companies, and emerging financial technology (fintech) companies are racing to provide these kinds of experiences. To achieve this, creating efficiencies will be key, and technological efficiencies are especially important.
Demand for online grocery shopping and home delivery has risen dramatically in the last 12 months, prompting many retailers to strengthen their digital presence. A lot of our modern technologies weren’t keeping up,” he explained. “It We had a big shift in cloud technologies,” he said. “It Dynatrace news.
Digital transformation is the integration of digital technology into all areas of a business. Many organizations — particularly those in the securities and investment services, banking, and retail sectors — have also targeted customer experience enhancements. Legacy technology is often a major barrier to digital transformation.
While most organizations turn to cloud technologies to address these challenges, this often places new roadblocks in their path , causing more complexity. . With any cloud technology, managing cost efficiency is critical. Competitive pressure enhances this complexity by driving the need to deliver better software, faster.
Businesses in any industry, from manufacturing and construction to financial services and retail, have become increasingly dependent on technology, not just to succeed but to survive. As a result, businesses cannot afford the potential losses of productivity and security breaches due to ineffective software testing.
As we stand on the cusp of a new era of digital transformation, aptly termed as “2.0,” this paradigm shift is evident in groundbreaking advancements such as cashless retail environments, AI-powered customer service chatbots, front-office robotic process automation, and the burgeoning edge economy.
Digital experience monitoring is the practice of using tools and technologies to gather and evaluate metrics as a customer navigates an application to determine the quality of a user’s interaction with its digital touchpoints. What is digital experience monitoring? Endpoint monitoring (EM).
Extend business observability to data at rest In our past blog post about business agility, we looked at a retail sales use case example to investigate potential causes of underperforming store locations. Once the data is in Grail, it can be transformed, queried, reported to dashboards, and more.
Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies. Aligning technology and finance teams Engineers focus on cloud computing, innovation, and moving workloads to the cloud, while finance teams focus on minimizing costs.
Artificial intelligence and machine learning already have some impressive use cases for industries like retail, banking, or transportation. While the technology is far from perfect, the advancements in ML allow other industries to benefit as well.
Using patent-pending high ingest stream-processing technologies, OpenPipeline currently optimizes data for Dynatrace analytics and AI at 0.5 Petabyte per day and tenant; this will soon increase to one Petabyte per day and tenant.
Mobile retail e-commerce spending in the U. The Dynatrace 2022 Global CIO Report found that 71% of top IT executives say the explosion of data produced by cloud-native technology stacks is beyond human ability to manage, and more than three-quarters say their IT environment changes once every minute or less.
Wine expert, Grant Hedley, shared stories about how automation and technology are impacting how vineyards are tracking growth, temperatures, and soil health – the full works! Dynatrace’s integrations with key technologies within their ecosystem were vital in identifying where to improve for the biggest impact on their customer base.
Technology has seen some drastic changes over the past decade with the constant evolution of products. From ordering your favorite food to shopping from your favorite online retailer, everything is possible with a click of the button. The experts in the industry are trying to adapt to these changes.
Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.
SMAC is the evolution of all platforms and when all these technologies combined, are known as the SMAC stack. While keeping such reports in mind, organizations in different business areas like retail, banking, finance, insurance, games, etc. According to the Pew Research Center, 77% of Americans own a smartphone.
Introduction In today’s data-driven world, Geographic Information System (GIS) technology plays a pivotal role in numerous industries, revolutionizing decision-making processes and providing valuable insights into spatial data. ESRI and its Pioneering Role ESRI, founded in 1969 by Jack Dangermond, has been a pioneer in the GIS industry.
All this can be done centrally from your Dynatrace cluster, regardless if you’re monitoring physical hosts, AWS EC2 server instances, services running in Kubernetes Pods, virtual machines under VMware, or any supported operating system or technology that can be monitored using Dynatrace. A few customer use cases.
Let’s take the example of a globally distributed retailer that collects revenue measurements every minute for all its shops worldwide. This gives you all the benefits of a metric storage system, including exploring and charting metrics, building dashboards, and alerting on anomalies.
AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. This technology is already being used in places like Prague and in suburbs of London. This allows retailers to improve their store layouts and in-store marketing effectiveness.
In supply chain management, connections between airports, warehouses, and retail aisles are critical for cost and time optimization. Like many AWS innovations, the desire to build a solution for a scalable graph database came from Amazon’s retail business. Graph databases at Amazon.
It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. We ought to heed Collingridge’s warning that technology evolves in uncertain ways. It’s also about ensuring that value from AI is widely shared by preventing premature consolidation.
For Amazon retail, some of those dimensions are low pricing, large catalog, fast shipping, and convenience. For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. APAC Summer Tour.
Extend business observability to data at rest In our past blog post about business agility, we looked at a retail sales use case example to investigate potential causes of underperforming store locations. Once the data is in Grail, it can be transformed, queried, reported to dashboards, and more.
Yes, you’re still a retail company. Today’s newly minted AI as Well companies, like their earlier software counterparts, have to address operational matters of this new technology. If your company is building any kind of AI product or tool, congratulations! You are now an AI company. Or a CPG operation. A love of pain?
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