Observability trends with Instana
Gartner mentioned that the definition of Observability is a major trend in the IT market as it enables businesses to gain real-time visibility into the performance of their systems and applications. The need for effective observability solutions is becoming more and more important as the complexity of modern systems and applications and the demand for digital services continue to increase.
With the rapid rise of cloud environments, micro-services, and the adoption of containers, systems have become more disorderly. This clutter has made app monitoring and troubleshooting difficult. This creates the need for solutions that can provide real-time visibility into the performance and behavior of systems.
Another situation that causes an increase in demand is the increasing need to improve the customer experience. With the increase in the transition to digital channels, it becomes important to be able to monitor and fix problems in real time in order to minimize downtime and provide a smooth customer experience. The observability solution is expected to grow more rapidly in the coming periods.
There are several trends that are expected to shape Observability solutions in 2023
Automation and artificial intelligence supported solutions
Automation will continue to be the favorite of IT teams in the coming periods, with the increase in the volume of data and the number of systems to be monitored, the advantages it creates in costs, and the option to do more with less effort. Automation enables more companies to channel skilled resources to tasks with the most impact, enabling teams to accelerate their digital transformation and innovation efforts rather than downscaling. However, the potential for error in artificial intelligence; will create barriers to widespread automation across operations, IT, development, and security.
Organizations need reliable AI to avoid confusion between symptoms and the root cause of problems or to apply the wrong solutions. Without trust, the continuation of AI-powered solutions with manual approval prevents efficiency gains and automation of IT business processes. Finding solutions that can automate the process of identifying and solving problems is now critical for all companies. AI-based solutions that can automatically detect and diagnose performance issues and provide proactive recommendations for optimization will become more common.
End-to-end Observability, insight into action
Companies are looking for solutions that can provide a comprehensive view of the entire system, covering all aspects of monitoring, tracking and logging. With the increasing adoption of cloud-based infrastructure, there will be a growing demand for solutions that can provide Observability in cloud-native environments. This includes monitoring and maintenance of cloud-based services such as Kubernetes and serverless functions.
FinOps
Monitoring and optimizing cost per transaction is becoming increasingly important as organizations seek to reduce costs in the current economic environment. However, many decisions are currently based on traditional measurements such as latency, throughput, errors and cost is not taken into account. By making cost a “golden signal” and evaluating it in conjunction with other metrics, engineers can make more informed decisions about what to work on and how to deploy the code. There are organizations that have succeeded in maximizing business value and gaining better visibility into resource usage by leveraging data-driven spending decisions and tools like sentiment analysis.
In summary, in the observability market, the IT lifecycle is expected to evolve towards end-to-end observability and monitoring solutions with integration into automation.
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