How AIOps helps SRE with SLA.

Mar 16, 2023. By Jishnu T Jojo

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How AIOps help SRE to help with SLA

The manual labor associated with the demanding SRE function has given way to AI and machine learning allowing teams to concentrate on high-value work and Innovation. IT companies must manage various traditional legacy systems cloud-native applications and microservices while maintaining higher expected service requirements. Your SRE teams may streamline automate and prioritize tasks with AI at the center of your application-centric IT architecture. They can also take advantage of opportunities to hasten and automate issue management and resolution. Resulting in more chances and more time to concentrate on precious talent for launching new projects and providing users with greater value. Challenges that SRE faces Repetitive Tasks. One of the key goals of SRE is to eliminate labor or physical and repetitive activities. According to sources, the SRE team's efforts must be focused primarily on lowering labor. But other tasks may take up the entire team's time if they go unchecked. To guarantee that the team is sharing the toil load equally, managers must periodically measure the time spent working. Unbalance between Development and Operational Tasks According to Google's benchmark, the optimal split in SRE teams is 50/50 - 50% on enhancing operational duties like ticket handling, calls, etc., and 50% on development. The truth, however, is frequently disparate. A poll found that only 0–25% of respondents spend any time on development. The team is unable to innovate or develop applications because of this imbalance. Inadequate incident management A postmortem of each occurrence is crucial because it enables the team to prevent similar mistakes from happening again. These postmortems are only sometimes taken seriously by businesses, though. It's typically unproductive since the process is unstructured; mistakes are repeated, and no lessons are learned. The lack of proactive incident management presents another difficulty. The SRE team only reacts once the incident happens. It's also common for new members to not receive sufficient incident response management training. A robust incident management system and training are required for a successful SRE implementation to take preventative action before an incident arises. Monitoring and Alerting The main goal is to assist us in making our apps more reliable. Having complete system visibility will enable you to diagnose the state of your services and gather essential analytics. No time for Innovation Lack of time is one of the most prevalent obstacles to creativity. Said, people are too preoccupied with their daily tasks to spend time attempting new things. It's a prevalent misconception that working hard and putting in long hours is beneficial and necessary for success. But, things will change in the case of SRE. They have a lot of difficult tasks to complete, which takes time away from their regular business activities. Huge volume of management data The effective handling of enormous volumes of management data is one of the most pressing concerns. Companies' data centers and databases are storing an ever-growing amount of data. As a result, it becomes increasingly challenging to manage big data sets as they soar over time.

How AIOps can assist with SRE issues With specialized proactive monitoring, warning, and reporting systems, AIOps can deliver trustworthy help by informing about issues and incidents before they get out of hand and negatively impact users. This directly benefits end users while saving SREs significant time and effort. In addition, AI requires less physical labor, a smaller technical staff, and fewer engineers to look for potential issues. 1. Evaluate and correlate different datasets. Topology Analytics is one of the strategies employed in AIOps. Your SRE team can get intelligence from various architectural layers using this method. This will allow you to find the source of your problem and will automatically and successfully resolve it. This is faster and more effective than merely recording symptoms and addressing them manually. 2. Zero Touch Automation. Your SRE team can provide a fully organized and comprehensive service with the click of a button, thanks to AIOps. The complete stack, including conventional mainframes and contemporary cloud-native apps, can be covered by it. This also applies to your process and corrective workflows, improving your configuration procedure. In addition, zero-touch automation is available to you! 3. Reducing the event noise Reduced incidents and response times are achieved by minimizing noise. Previous monitoring methods are ineffective for keeping track of the rising number of app processes, users, and issues. Organizations must increase reliability if they want to improve user experience and engagement. You may identify incidents, prioritize them, and specify the actions that should be taken using AI and ML. The core teams will have more time to concentrate on more important problems thanks to AIOps and automated course correction operations. 4. Faster resolution of incidents. SREs need to handle difficulties and incidents in the right way. SRE teams are responsible for complex and dynamic applications across various cloud environments. They emphasize methods for reducing hazards among end-users while preventing further accidents from happening. Large amounts of data bring on many issues, and intelligent IT operations assist in automating incident management, saving a great deal of human labor and time. Automation can benefit from the addition of intelligence from AI, which can speed up event response times and, in certain situations, even assist in incident prediction. 5. Operations with intelligence. Systems with intelligence are developed to reduce manual labor and help to make better and faster decisions. Teams can concentrate on Innovation, application improvement, and development after minimizing manual steps. AIOps can identify event patterns and flag them before they develop into more serious problems with the aid of machine learning (ML). AIOps can gather and combine enormous amounts of data, do real-time analytics to find trends, and more. It aids teams in quick response, guaranteeing that locating the damaged locations and stabilizing the program take the least time. This enables them to accomplish service-level and user-experience goals while swiftly resolving complicated problems.

What are the benefits that SRE will get from AIOps The AIOps can help deal with the underlying issues that cause IT systems to be unstable, break down, and perform slowly, improving the service level. By five essential features, when businesses embrace this strategy, IT may fulfill its full potential and significantly bring value to the organization: Some basic benefits are, 1. Improved automation Manual methods are labor-intensive and susceptible to errors. Yet, AIOps automate important processes like fault detection, alert analysis, and event reporting. Instead of searching through early observations to identify pertinent reports, this enables IT operations teams to change their emphasis and prioritize results. 2. Increased collaboration As a result of AIOps solutions' inherent data and department independence, businesses can increase their efforts to collaborate. They do this by ingesting and analyzing data from various sources to create comprehensive outputs that are unrelated to particular use cases or business teams. As a result, AIOps enable different departments to communicate effectively and enhance teamwork. 3. Encourage quicker and wiser decision-making. AIOps platforms and associated AI capabilities have the potential to learn enough about IT settings to take proactive measures and solve problems before anybody else is even aware of them. Furthermore, since AIOps solutions can be a rich source of data for business intelligence platforms, this goes beyond IT to the business. 4. Reduce MTTR. Every business's bottom line suffers from outages and performance issues; thus, IT companies must actively look for solutions to decrease the mean time to resolution (MTTR). Using AIOps, IT teams may cut down on MTTR, stop emergent issues, and, therefore, significantly lower the costs related to performance concerns. AIOps are not meant to replace or substitute SREs, as is widely believed. AIOps is a supplement to SREs. SREs will continue to serve this purpose, and AIOps will hasten the SDLC process while lowering incidents. SREs' jobs will be easier because of automation, which offers a backup plan for any eventuality. Hence, AIOps and SRE can give you more insights for improving SLA. To learn more about algomox AIOps, please visit our Algomox AIOps platform page.

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