Blogathon2021
How AIOps helps Rapidity of DevOps
By Bhuvaneshwari
What is DevOps?
DevOps is to rapid creation and updating of services and applications, it is to move from one project to another project as quickly as possible and efficiently.
What is AIOps?
Artificial Intelligence for IT Operations.
AIOps is combination of artificial intelligence, automation, machine learning and collaboration with DevOps and IT. According to Gartner, AIOps is defined as “the application of machine learning and data science to IT operations problems.”
AIOps – ML with big data to generate predictive outcomes to help drive root-cause analysis (RCA) to be faster and accelerate mean time to repair by providing intelligent, actionable insights that drive a higher level of automation and collaboration. Hence ITOps team can continuously improve on saving their time and resources. AIOps informs DevOps in real time, along with the information needed to make necessary adjustments. AIOps and DevOps makes it possible for AIOps and DevOps to work in concert by accelerating time-to-value and minimizing the risk of unintended performance and service interruptions.
Capabilities of AIOps:
- Pattern discovery
- Anomaly detection
- Root cause determination
Where AIOps concentrates?
AIOps combines big data ( big data – data collected from data sources, the application logs) with machine learning to support and partially replace processes and tasks in domains like:
- Automation
- Monitoring
- Service desk & technical support
AIOps Tools:
- BMC Helix Operations Management
- Datadog APM
- New Relic One
- AppDynamics
- Splunk ITSI
Image Ref: DZone AI
So, we got the insights on what is AIOps, Capabilities of AIOps, Where AIOps concentrates and the list of few tools that can support AIOps . Now let’s connect how AIOps helps DevOps.
DevOps is the set of practices that combines development (Dev) and IT operations (Ops) with the union of people, processes and technology to continually provide value to customers. DevOps gives the ownership, support and success of services to the developers that write the code.
AIOps addresses the operational challenges and covers every aspect of an organisation’s service strategy. It helps in releasing people from operations to focus on mission-critical tasks, empowering them to build improved services for better customer experiences.
AIOps helps IT operations and DevOps teams to work smarter and faster with the proactive algorithmic analysis of IT data to identify digital service issues and resolve them quickly before business operations and customers are impacted. With AIOps, Ops teams can understand the immense complexity and quantity of data generated by modern IT environments, and prevent outages, maintain uptime and attain continuous service assurance.
With IT at the heart of digital transformation efforts, AIOps lets organisations operate at the speed they need to.
Image : AIOps & DevOps ( Ref: opensourceforu)
Conclusion:
AIOps is showcasing to help systems learn about themselves faster. Not only helps the system learn about applications and IT infrastructure faster but it can showcase important information to people faster. AIOps deepens transparency, automation and collaboration across all DevOps workflows. Combine AIOps and DevOps to facilitate the most efficient process for software delivery and incident management.
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About Author
Bhuvaneshwari is a Performance Analyst with 9 + years of experience in the IT and Non-Functional Testing Domain.
Expertise in Performance Testing and Engineering software products from various verticals like Insurance, Healthcare and Retail, etc.
Also, expertise in Effort Estimation, planning, WorkLoad Modeling, implementing CICD and perform early performance testing, Monitoring & identifying potential performance issues/bottlenecks and Advocating for possible cause with a solution / suggestion. And always strives to adopt automation and experience on the DevOps pipeline as well.