In 2018, digital transformation ushered in a radical shift in how enterprises harness customer insights, technology capabilities and rapid experimentation to drive revenue growth, profitability and market leadership. Enterprises spent $1.3 trillion in 2018 on digital transformation technologies such as public cloud platforms, microservices and containers, edge computing, machine learning and artificial intelligence to improve customer experiences, business agility and employee engagement.
Heading into 2019, digitalization will accelerate business model innovation and drive the adoption of these emerging technologies for sustainable competitive advantage. Here’s a closer look at five technology trends that will change the way enterprises approach digital operations management in 2019:
In FY18 Q3, the three leading cloud platforms (Amazon Web Services, Microsoft Azure and Google Cloud Platform) accounted for 65 percent of the market share of public cloud infrastructure and platform services. Enterprises are increasingly relying on multiple cloud providers to avoid lock-in and harness innovative product offerings, global presence and flexible pricing strategies. When it comes to multi-cloud adoption in 2019:
Software containers have fast emerged as the standard deployment vehicle for agile, reliable, scalable and highly available enterprise services. The transition from virtual machine management to container orchestration and monolithic development patterns to agile microservices will transform the way enterprises build, deploy and optimize cloud-based applications. IT operations teams will need to develop a new set of competencies to manage the health and performance of containerized services. IT practitioners can longer rely on manual scripts to manage large, distributed systems but will need to embrace infrastructure as code to provision, deploy, monitor, alert and auto-scale cloud-native services.
DevOps teams will use multiple data sources (metrics, logs, and traces) to understand, verify and debug cloud-native systems. Modern observability requires the ability to consolidate and extract relevant insights from observability pipelines using tools such as Prometheus for monitoring, Jaeger for distributed tracing and Fluentd for logging. While IT teams will need new tools to manage autonomous cloud-native services, it is still critical to understand relationships between individual components and the overall system to effectively troubleshoot microservices in production.
Artificial intelligence for IT operations (AIOps) is a clear necessity for modern IT infrastructure teams to keep up with the diversity, velocity and volume of IT operational and event data. IT teams can proactively prevent service outages, analyze real-time incidents using contextual knowledge and remediate problems using AIOps tools. Here’s how AIOps will help enterprises run and optimize mission-critical systems:
To help the business remain competitive, IT teams simply must transition from managing hybrid IT infrastructure assets to prioritizing and supporting business-critical services. Service-centric operations management combines business insights, customer knowledge and relevant metrics to improve digital performance, enhance customer interactions and support business goals. IT teams will need to focus on the business value of IT services while offering holistic infrastructure visibility and control at the business process level.
Clear strategy and focused execution will separate the digital winners from losers in 2019. How enterprises embrace and respond to these key trends will be key to unlocking disruptive innovation, operational transformation and business value.
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