Organisations in Asia Pacific are accelerating their digital transformation and changing how they do business in today’s fast-emerging, digital-first economy.
However, a common challenge faced when embarking on digital transformation journeys is the growing complexity of their IT infrastructures. As organisations update their legacy applications while adding multi-cloud, virtual, and cloud-native capabilities, they find themselves managing diverse, complex, and distributed networks, including cloud, system, application, and database infrastructures.
A recent SolarWinds IT Trends survey of 1,138 global technology professionals in March this year found hybrid IT has increased network complexity and lowered the network management confidence of technology professionals worldwide.
In Singapore, only 19% of technology professionals surveyed said they felt extremely confident in their organisation’s ability to effectively meet the challenges posed by hybrid IT. Additionally, 56% of survey respondents stated they have visibility into only about half or less of their organisation’s apps and infrastructure.
Respondents also reported these IT challenges are exacerbated by technologies many in the organisation are not familiar with (57%). Among these challenges, teams found outdated staff skill sets are not aligned with new technologies (41%), a lack of proper tools to manage complexity (35%) as well as increased technology requirements from multiple departments (35%).
This lack of visibility and confidence in effectively managing such environments can lead to increased security risks and decreases in productivity, both of which are critical concerns for C-Suite executives and business leaders.
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To rein in the resulting complexity, organisations tend to amass monitoring and managing tools. The goal is to simplify systems oversight—but instead, silos tend to develop because teams use a wide variety of tools to manage their networks or infrastructures.
This piecemeal approach worsens operational blind spots and delays problem resolution. It also increases security exposures. Soon, overwhelmed IT pros can’t keep pace with app modernisation or infrastructure dynamics because they’re awash in complexity.
Though this scenario is common, it’s not inevitable. IT teams can ease their digital transformation journey by implementing an integrated and cost-effective full-stack, end-to-end monitoring service capable of overcoming complexity and silos. These will allow them to understand what’s working and not and where to prioritise their efforts to achieve the ROI targeted in their planned projects.
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How full-stack observability differs from traditional monitoring
Observability goes beyond traditional monitoring. Traditional monitoring helps IT organisations understand the actual state of their infrastructure and applications. It captures and processes volumes of infrastructure and application telemetry data and notifications, and displays which components are up, which ones are down, and which ones have changed.
Usually, traditional monitoring focuses on a specific network, cloud, or infrastructure. It tracks application and infrastructure elements so IT pros can identify anomalies and investigate problems as they arise.
Monitoring relies on metrics-oriented dashboards built to assess telemetry data against manual or basic statistically relevant thresholds. Monitoring tools are invaluable but do not offer cross-domain correlation, service delivery insight, operational dependencies, or predictability. Modern systems have complex multi-cloud environments and a deluge of telemetry data: this counts as a shortfall.
Observability does more. It measures the internal states of systems by examining the outputs and looks at applications and systems in their entirety—from the end-user experience to server-side metrics and logs.
But observability also includes monitoring as a critical element. To gain observability, you must first collect information through monitoring. Observability uses the insights and metrics generated through monitoring to understand what’s causing the issue at hand.
Monitoring aggregates and displays the data to determine whether the systems are operating as expected. The analysis of this information is compared with expected outcomes and objectives, allowing IT pros to understand the state of their infrastructure and applications.
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Because complex environments are viewed in their entirety, new silo formation is preventable.
Observability critical for successful digital transformation
Once in place, observability allows IT organisations to continuously improve performance, availability, and digital experience across complex, diverse, and distributed hybrid and cloud environments.
With observability, organisations can quickly find and resolve anomalies. However, full-stack observability goes beyond monitoring and expedited problem resolution: it supplies insights, automated analytics, and actionable intelligence through cross-domain data correlation, machine learning (ML), and artificial intelligence for IT operations (AIOps). It works across massive real-time and historical metrics, logs, and trace data.
Observability goes beyond the silos and the piecemeal approach associated with traditional monitoring. And when observability is not limited—when it includes ML and AIOps—it utilises the large volume of gathered data and supplies insights, automated analytics, and actionable intelligence to help IT staff expedite problem resolution.
It also enables ITOps, DevOps, and security organisations to achieve consistent, optimised, and predictable business service delivery with continuously improved digital experience and IT productivity.
The result is customers and employees benefit from better-run systems. The technology provides organisations of all sizes and industries with comprehensive, integrated, and cost-effective functionality through cloud-connected on-premises or software as a service (SaaS) deployment flexibility.
Observability can bring direct benefits to organisations in the Asia-Pacific region. An IDC study found that 28% of organisations in this region are already in an advanced stage of digital transformation, with a third expecting digital products and services to drive 30% of their business revenues by 2023. How these organisations can successfully transform depends on how they can navigate the crosswinds and complexity resulting from the change in business processes and new ways we work.
When embarking on digital transformation journeys, organisations don’t need further complexity—certainly not while updating legacy applications and adding a plethora of modern services and capabilities to their stack. The key to reducing complexity is observability.
Observability can help organisations simplify the transformation process. It reduces operational noise to benefit ITOps, DevOps, and security teams. They can become more proactive in issue and anomaly detection to achieve optimum IT performance, compliance, and resilience. With full-stack observability, any organisation—no matter its size or industry—can reduce IT complexity while readying itself for digital transformation.
Thomas LaRock is the head geek at SolarWinds
