With the advancement of the new platform-itized world, downtimes, inconsistent data, and poor responsiveness will increase, resulting in time-consuming adjustments. There was an utter need to provide automated remediation steps to fix the issues on the targeted system. To overcome these challenges, self-healing platforms are brought into the picture. The rise in AI and automation is at its peak for drastically reducing the time IT devotes to managing platforms and systems manually. But what does a self-healing platform do? Does your organization need it? How can your team get started?
Self-Healing: What is it and why is it Important?
As the term indicates, self-healing is a platform’s intelligence to detect anomalies beforehand or on time to self-initiate corrective measures without human intervention. For IT, this ability demands automation and machine learning algorithms to predict, monitor, detect and manage IT operation issues.
Why is Self-healing important?
There is an increasing demand for self-healing in IT operations for the two major reasons:
- IT systems or process issues are impacting largely on business operations. An infrastructure failure can cost $100,000 per hour on average.
- The list of IT’s responsibilities continuously grows, putting continuous strain on resources. It is also over-extending IT staff.
IT ecosystems have become increasingly complex, with more endpoints than ever before. According to DynaTrace, 63% of CIOs claim that their cloud environments are too complicated for teams to manage manually. Self-healing serves as a savior for your complex IT environments by introducing auto-remediation and optimization capabilities to reduce manual interventions and improve reliability and uptime. By leveraging automation and analytics, you can drastically reduce the time spent on troubleshooting. Gartner suggests that automation and analytics will allow teams to dedicate 30% of their time away from the service and support desk to DevOps by 2024. IT ecosystems have become increasingly complex, with more endpoints than ever before. According to DynaTrace, 63% of CIOs claim that their cloud environments are too complicated for teams to manage manually.
Preventive healing vs Reactive healing: The better option
Reactive healing is when a platform takes remedial actions in response to an error. Today, reactive healing is already in widespread use. For instance, the app is redeployed to a new physical node when an error occurs, preventing downtime. The level of reactive healing is directly proportional to the degree of risk a platform can tolerate.
IT ecosystems have become increasingly complex, with more endpoints than ever before. According to DynaTrace, 63% of CIOs claim that their cloud environments are too complicated for teams to manage manually.
Preventive healing is a proactive approach that prevents errors. For instance, preventing processing time errors via real-time data. Combining real-time and historical data best serves as a preventive healing approach. Still, only 40% of organizations currently employ automation capabilities.
A proactive preventive healing approach that resolves errors before they occur is ideal for any digital platform. You should avail preventive self-healing platform solutions that employ automation and distributed storage as well as computing and analytics. When big brands like Google, IBM, and Flipkart have already adopted self-healing solutions, what’s making your brand not use it?
Observability and AI — The need of Self healing infrastructure
The practice of assimilating deep data from services and applications to enable insights via three key components: metrics, logs, and traces, is referred to as observability. These three components, when used together, work wonders for the self-healing infrastructure in determining where, when, and how a situation occurred.
The traditional monitoring tools fail to capture root causes or address immediate issues. Extensive reliance on developers for analysis, time consumption, and the requirement of extra budget for human power are major hurdles in identifying and remediating incidents. When you adopt the recent cloud-native self-service in combination with artificial intelligence and observability, it automates collecting and correlating traces, logs, and metrics at machine speed, providing a complete, actionable picture of all that’s happening and why shaping your self-healing infrastructure.
iauro’s Self-healing solutions framework
With the growing digitalization, we have incorporated innovative ideas to construct self-healing solutions. At iauro, agility and flexibility to user environments have been our key considerations while designing self-healing platforms for our clients. Our methodology relies on:
Instrument
With the growing digitalization, we have incorporated innovative ideas to construct self-healing solutions. At iauro, agility and flexibility to user environments have been our key considerations while designing self-healing platforms for our clients. Our methodology relies on:
Monitor
We leverage instrumentation to monitor performance, user activity, data quality, and configuration to respond to any issue.
Determination of the next best action
Rules, alert response, pattern recognition, and machine learning work together to determine the best possible next action that the platform must take.
Response
iauro provides self-healing solutions that are well-equipped to take auto action and diminish risks via the next best action. The response could be notifications, trigger-based healing, omnichannel proactive alerts, sensing failures, pattern recognition, initiating routine maintenance, re-runs, re-trials, auto-application of patches, and more.
How can iauro help you head towards a self-healing platform?
The need for consistently high performance and platform stability is at its peak to ensure the key success factor — user experience. A platform’s poor responsiveness, downtime, and inconsistent data portray a multitude of losses in a world full of competitive platforms. A recent survey found that 97% of IT decision-makers agree that process automation is vital for digital transformation.
Given the present scenario, iauro addresses the prime need of every platform’s architecture – the latest trend – AI-enabled operations (AIOps). Our self-monitoring and healing platforms powered by AIOps have the potential to be strategic differentiators that can take your digital platform to unprecedented heights of success.
Self-Healing platform solutions by iauro — Innovations on the fly
One of the biggest challenges arises from the fragmentation of IT environments. iauro addresses this issue by adopting a unified approach instead of deploying automation and monitoring tools in silos. While most companies wait for errors to occur before they work on fixing them, iauro takes you a step further by offering preventive solutions as the aim of self-healing is error prevention in the first place.
The concept of self-healing platforms need not be a distant vision. Our self-healing platform solutions blend AI and observability so that technical practitioners spend less time responding to issues and more time innovating solutions that bring about digital transformation and drive business value. We want every business to embrace innovation along with us. It’s time to increase your uptime, uplift quality, save costs, increase consumer confidence, and create digital user experiences that enhance your brand loyalty by adopting the best self-healing platform for your company.
