Sheldon Anthony IO

In today's digital world, businesses generate vast amounts of data from various sources, including customer interactions, production processes, employee activities, and more. By leveraging applied observability techniques and tools, organizations can gain valuable insights into their operations and identify areas for improvement. By 2026, Gartner expects 70% of organizations that successfully adopted observability to have shorter decision-making times, which will enable a competitive advantage for target businesses or IT departments.^[1] As the amount of data generated by businesses continues to grow, the ability to effectively analyze and interpret this data will become increasingly essential for success. 

Without observability, businesses lack the visibility needed to identify and resolve issues quickly, leading to longer downtime and increased costs. It also hinders their ability to optimize performance and gain insights into user behavior, making it challenging to make informed and timely decisions. This latency in decision-making can result in missed opportunities, delays in executing projects, and difficulty adapting to market trends. Data regulation compliance, accuracy, and security are among the challenges businesses face in managing their data effectively.

Carhartt is known for its quality fabrics, superior fit, and exceptional durability, allowing you to feel and see the quality of its clothing. Observability across the entire technology stack allows Carhartt to delight its growing customer base. In a partnership with Cisco, they are using AppDynamics to gain real-time insights and eliminate interruptions to deliver a seamless customer experience every time. Carhartt wants to keep its systems running 24/7 as its business moves more and more to flexible, agile, and scalable cloud systems without compromising service availability or performance. AppDynamics provided Carhartt with a real-time view into Tier 1, mission-critical application, database, and cloud instances to better understand how data is flowing and proactively identify potential service issues that may impact the ability to meet new customer demand. Carhartt has virtually eliminated costly service or application downtime, avoiding millions of dollars in lost revenue, and is enhancing customers’ trust in the purchasing process.^[2] 

Observable data is becoming a precious monetizable asset to businesses. Not only in terms of the selling of this data to third parties but in terms of building new business capabilities within an organization with contextual change usages. Identifying new business capabilities through observable data is becoming crucial in creating a competitive advantage for organizations. Applied observability is helping organizations with the practice of collecting, analyzing, and acting on data from various sources to improve business outcomes. For instance, a tech company can increase its software development velocity and reliability by using observable data to understand how and where its platform is experiencing outages. As per Statista, the market for observability will grow by nearly 50% and be worth an estimated $USD 19.38 billion in 2024.^[3] The better visibility organizations have into how their operations work helps them identify customer pain points and improve their customer experience. 

Market leaders are capitalizing on the vast amounts of data they gather by changing its usage contexts and are beginning to pave new ways in unfamiliar trades or specialties they have not yet explored. A company like Uber today can quickly become the next FedEx just by changing the context usage of its observable data. The motes are there and sensing all the time and by making the data visible across the organization business leaders are easily capitalizing by making better, faster, consistent, and effective business and IT decisions. Market leaders are making their decisions using observability as an evidence-based source of decision-making as opposed to traditional forecasts or predictive ways. With the use of machine learning and AI, market leaders are successfully navigating the operations at the edge. As an emerging trend, it is expected to grow and become more intelligent and automated.