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The top three cloud monitoring factors technologist should consider

By Erwan Paccard, Product Marketing Director, AppDynamics, part of Cisco

Organizations have pushed through digital transformation programs to navigate the COVID-19 pandemic and to do so, most have relied heavily on the cloud to enable them to move at the required speed and scale. The pandemic has proved the benefits of cloud architectures, with its operational speed, agility, and resilience. 

While the dramatic shift to the cloud has enabled businesses to respond quickly to changing business conditions, it has caused significant problems for the IT department. The latest Agents of Transformation 2021: The Rise of Full-Stack Observability study revealed that the majority, 77%, of global technologists are experiencing greater levels of complexity because of the acceleration of cloud computing initiatives during the pandemic. Even more, 78%, cited technology sprawl and the need to manage a patchwork of legacy and cloud technologies as an additional source of complexity.

Research showcases the major challenges in how IT departments are able to monitor and manage technology performance in these new hybrid cloud environments. Traditional monitoring approaches aren't fit for dynamic, distributed, software-defined environments, where organizations are continually scaling up and down their use of IT, based on business needs.

Over the next three years, the adoption of cloud computing is expected to accelerate even further. This rapid growth has brought consequences and the pressure it will put on IT teams is potentially severe. Businesses risk jeopardizing their massive investments in digital transformation as they are unable to guarantee seamless digital experiences to increasingly demanding users. The research found that a majority, 79%, of technologists believe they need to adopt more comprehensive observability tools to hit their organizations' innovation goals.

Here are three factors for technologists to consider for greater visibility and insight into all IT environments.

‘Full-stack' observability for your entire IT estate

Observability is becoming increasingly crowded and complicated, and it can be hard to understand what a solution will deliver. The research found that 65% of technologists now have difficulty distinguishing between monitoring and observability tools.

An organization embarking on a large-scale shift towards cloud computing must implement a platform that delivers genuine visibility across all cloud and traditional infrastructures, from customer-facing applications to core infrastructures such as network and storage, security and the open Web.

Available tools still struggle with visibility into applications and their supporting infrastructure for large-scale public cloud environments.

It's vital technologists ensure they have access to a tool that provides alerting, root cause, and analysis of correlated metrics, events, logging, and tracing (MELT) data to enable comprehensive, early, and easy troubleshooting.

Link business metrics and observability

Technologists need visibility into cloud infrastructure and the applications they execute to track health and performance. They also need a way to navigate massive volumes of data that increased digital transformation is generating.

To cut through this data noise, connect real-time IT performance insights with business outcomes, such as customer experience, sales transactions, and revenue.

Technologists can identify and fix critical issues before they impact end users, and prioritize actions and invest based on what matters to the business.

Ensure your full-stack observability solution allows you to view IT health and performance data (including in the cloud) through a business lens so you can prioritize your decisions based on business impact.

The future - cloud observability requirements in three years

The speed of innovation gathers pace and organizations continue to use cloud computing to run their critical workloads. Over the next three years, the volume of data that businesses are generating will continue to increase exponentially.

Soon, IT departments will be challenged to commit the required resources to manage and optimize health and performance across the whole IT estate. Additionally, most current observability solutions aren't designed to handle the spiraling amounts of data and soaring IT complexity that will engulf IT departments.

When considering observability solutions, it's important to recognize that what works today could be inadequate soon.

Technologists think about how to pre-empt future issues and reduce reliance on manual interventions to assess IT data and address performance issues.

Automation and AI are set to minimize the impact of data overload, tracking health and performance across the IT estate, and particularly in infrastructure for large-scale public cloud environments as managed Kubernetes environments in public clouds.

Before end users are impacted, AI can be used to identify and fix issues in real-time and organizations can consistently deliver faultless digital experiences.

Additionally, technologists should consider the benefits of a SaaS-based observability platform to easily scale and flex to business demand. Moving from an on-prem to a SaaS platform can reduce management overheads, increase security and deliver cutting-edge AIOps functionality that automates insights. A SaaS solution offers self-updating capabilities and because it is cloud-based, will ensure technologists always have the latest functionality.

For long-term IT performance, technologists can deliver the game-changing innovation that their businesses need now and in the future.

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To hear more about cloud native topics, join the Cloud Native Computing Foundation and cloud native community at KubeCon+CloudNativeCon North America 2021 - October 11-15, 2021   

ABOUT THE AUTHOR

Erwan Paccard Product Marketing Director, AppDynamics, part of Cisco

Erwan Paccard 

Erwan Paccard is the Director of Technology Strategy for Application Performance Management (APM) and Business iQ at AppDynamics. Erwan knows the APM market well with over 5 years in the space across various companies. Earlier in Erwan's career, he worked at IBM and ILOG developing and architecting a range of their products.

Published Wednesday, September 22, 2021 7:30 AM by David Marshall
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