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Why does DevOps need AIOps?

Mar 22, 2022
  • AIOps
  • AIOps based analytics platforms
  • aiops digital transformation solutions
  • AIOps For DevOps
  • AIOps for DevOps services
  • AIOps for DevOps services in USA
  • Artificial Intelligence for IT Operations
  • Best AIOps Platforms Software
  • DevOps
  • Digital transformation
  • digital transformation in healthcare it consulting
  • digital transformation services and solutions
  • Service Reliability Engineer
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In this blog post

  • Why does DevOps need AIOps?
  • Challenges faced by DevOps teams
  • What does AIOps bring to DevOps teams?
  • In a nutshell

Why does DevOps need AIOps?

DevOps streamlines IT operations and software development processes. IT teams must evaluate their DevOps in the face of growing digitization. DevOps processes demand agility. When IT teams prioritize service availability, agility is hampered and organizations are affected by downtime. Business organizations need a reliable solution to streamline IT processes. AIOps is considered an essential technology for streamlining IT operations.

Challenges faced by DevOps teams

Technology has helped DevOps teams streamline their process by enabling deeper insights and greater observability. In this age of digitization, a business depends on software systems for its survival. The role of an SRE (Service Reliability Engineer) increases in such circumstances. SREs and DevOps teams look to monitor the software systems rigorously to maintain service availability. Different DevOps teams in an organization are responsible for different microservices. If any of the microservice stumbles, it can harm the overall service availability of the business organization.

Due to the increased complexity of software systems, incidents can occur anytime and hamper service availability. If DevOps teams spend more time fixing the IT incidents, agility and business continuity take a toll. It is getting hard for DevOps teams to handle real-time IT incidents and maintain service availability at the same time. To understand the impact of IT incidents on services and customers, DevOps teams need rich observability into their software systems. Traditional business tools for monitoring the IT infrastructure are not effective in the current scenario. It is why DevOps teams are looking for a centralized technology for monitoring the IT infrastructure and fixing incidents in real-time.

Another challenge for DevOps teams is to get the right person/team for fixing the IT incidents. One cannot waste time searching for the right person/team when a business organization is facing downtime. DevOps teams are not communicating enough with each other in the present scenario. Communication APIs are the only thing that helps DevOps teams in communicating with each other. When downtime occurs, DevOps teams face challenges in collaborating and fixing the incident in real-time.

As business organizations are moving towards digitization, they are also understanding the associated challenges. Businesses must understand the high magnitude of their monitoring data and find ways to analyze it. Digital transformation is all about choosing the right technology for longevity and better productivity. In the past few years, DevOps teams have found AIOps helpful in analyzing the monitoring data and improving service availability.

What does AIOps bring to DevOps teams?

AIOps (Artificial Intelligence for IT Operations) is a centralized technology for addressing IT operational challenges. It can cover every aspect of your service reliability processes. You cannot keep increasing the workforce required for handling the complexity of your IT operations. The aim is to free employees from fixing IT incidents and make them focus on the business missions. By embedding AI with your traditional software systems, you can enhance the observability level. You will be in control of your software systems by using AIOps based analytics platforms.

AI data analytics monitoring tools learn about the behavior of your IT environment over time. It then correlates IT alerts from different software systems and endpoints to extract actionable insights. If downtime occurs, you can immediately get on it with the actionable insights produced by AI data analytics monitoring tools. AIOps also helps DevOps teams to communicate, collaborate, and work together for fixing IT incidents in real-time. AIOps for DevOps services in USA and many other countries have already provided fruitful results. Some of the ways how AIOps helps DevOps teams are given below:

  • AIOps collects IT alerts from different sources and then prioritizes them. Not all IT alerts require immediate attention. You cannot ignore an IT alert that requires immediate attention as it can belittle the service availability. AIOps helps in knowing which IT alerts can affect the services and customers adversely. DevOps teams can focus on solving the critical IT incidents first to improve service availability.
  • An AIOps based analytics platform will empower the right person/team to solve an IT incident. DevOps teams can acknowledge an IT incident faster if they use AIOps based analytics platforms. Not to forget, AIOps also enhances the communication level between DevOps teams.
  • AIOps can also help DevOps teams in reducing the downtime of critical software systems. IT incidents can be fixed before they leave an impact on the service availability. The modern-day scenario requires fixing IT issues in real-time which, can only be done by AIOps.
  • Often, DevOps and SRE teams spend much time in finding the root cause of any IT anomaly. With AIOps, one can reduce the time taken to find the underlying cause of an anomaly/disaster. AIOps finds out the interdependencies between software systems to determine the underlying cause of anomalies faster.
  • With AIOps, you can have access to your monitoring data from all sources in one place. Having a centralized monitoring technology is a must if you want to reduce the load on your DevOps teams and SREs. An AIOps based analytics platform can show monitoring results and alerts under a single dashboard. You can move towards automation with AIOps and reduce the burden on DevOps teams.

In a nutshell

According to trends, the AIOps industry will grow with a CAGR of around 30% for the next few years. Business organizations are realizing the importance of using centralized technology for monitoring complex IT infrastructure. Start using AIOps for streamlining IT operations and helping DevOps teams!

Tags

  • AIOps
  • AIOps based analytics platforms
  • aiops digital transformation solutions
  • AIOps For DevOps
  • AIOps for DevOps services
  • AIOps for DevOps services in USA
  • Artificial Intelligence for IT Operations
  • Best AIOps Platforms Software
  • DevOps
  • Digital transformation
  • digital transformation in healthcare it consulting
  • digital transformation services and solutions
  • Service Reliability Engineer


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