Posts Tagged ‘CICD’

How DevOps Reduces the Operational IT Skill Gaps

Friday, September 18th, 2020

One of the biggest challenges faced by enterprises today is the Operational IT Skill Gap. This gap is not only distressing productivity, but is also impacting the quality in this modern application-centric and competitive world. CIOs also confirms that a shortage of tech skills is affecting their ability to respond to digital transformation. How can you close this gap?

Using DevOps 

Why?

DevOps is an agile and intelligent approach. It has the potential to increase efficiency and boost productivity. Here are some ways DevOps is helping you reduce the operational IT skill gaps:

A Centralized Monitoring Platform Should be focused

IT operations teams are struggling a lot nowadays. This includes issues like

  • Proper monitoring of databases, services, and applications;
  • Ability to retain their subject matter experts who can potentially research root cause analysis and recover from application issues;
  • Hire and retain all necessary skills to manage applications. 

This is where you need smart and big platforms like Big Panda. It gives embedded artificial intelligence, autonomous operations, and centralized monitoring capabilities under one roof. Whether you want to aggregate events and log data from multiple systems at a central point or need to have alerts into a single, manageable incident from multiple incidents, you can do with great ease. 

Moving forward, AIOps (Autonomous operations) can then direct incidents based on their type into multiple ticketing systems. This way, you can resolve issues quite fast and with minimum manpower. 

Importance of Automate Testing, Integration, and Deployment

Application management helps you to resolve parts of skills, complexity, and cost. But, to enable less error-prone and more frequent application release cycles, you need continuous integration and deployment platforms (CI/CD) coupled with continuous testing capability. 

When CI/CD platforms (such as Jenkins) and automating testing tools (like Selenium) automates testing, deployments, and integration, the knowledge and subject matter expertise packed into release management practices gets auto codifies. Though you will still need a developer to amend necessary change steps like integration, deployment, and regression test can be automated. Another great factor, automation & platform deliver documentation using which new IT professionals can easily review DevOps tool configurations and scripts. 

Onboard IT Talent by Changing DevOps Culture

The three best DevOps practices include Centralized Monitoring, Automated Testing, and Continuous Integration, and Deployment (CI/CD). Operational steps such as automation implementation and tools procurement can help you address the cost, skills, and complexity involved in application maintenance. The next important consideration is–how these practices adoption can change IT to a culture of DevOps.

IT culture change has many aspects. If you talk specifically about production application maintenance, it is when enterprises take a step ahead towards IT heroics to maintain an application. In every organization, there is one person who knows all about the critical application—from issues finding to resolve. In such a scenario, CIO needs to ensure that modern-day cloud infrastructure and applications are easy to manage by different teams with skills that are easy to find and with less complex processes. Plus, CIO needs to ensure that their team should lead to simplified architecture, operational standards and are automating more operational procedures. 

A data-driven culture, leveraging ML and embedded analytics in an operational platform help you aid application changes and incidents response efficiently. By overcoming the IT skills gap, architecture standards along with centralized monitoring platforms can reduce operational expenses and enhance system reliability.  Along with reducing or eliminating the skill gap, it helps you reduce IT costs and increase system reliability. 

Final Thoughts 

The technology skills gap is the biggest issue that organizations are facing presently and demands prime consideration. However, DevOps methodologies have some promising practices that can not only close the IT skill gaps, but it can also enhance the overall efficiency and productivity of the business. Successive Technologies has Certified Competency and Center of Excellence for Continuous Integration, Deployment, and Continuous Delivery. Our team ensures speedy onboarding of applications by automating the end-to-end delivery pipeline and facilitating continuous integration and development across the leading cloud platforms. Book a free consultation now with our experienced team of professionals who have years of experience in DevOps. 

Why AIOps is the Next Big Thing in IT Operations?

Friday, September 4th, 2020

AIOps platform market size is growing exponentially. According to Markets and Markets latest survey, the AIOps market size will reach USD 11.02 billion by 2023 and USD 237 billion by 2025. But, what is AIOps, what it is designed to do, how it is developing, and why AIOps is the next big thing in IT operations? If you are also looking answers for such questions, then your search ends here. Have a look:

The ‘What’ Of AIOps

AIOps is the application of Artificial Intelligence (AI) to IT operations. It is Continuous Integration (CI) and Continuous Deployment (CD) for core IT functions. AIOps combines machine learning, big data analytics, and various AI technologies to automate the challenging IT tasks. Using the IT data collected from algorithm analysis, AIOps check assets and gain visibility into dependencies within or outside of the IT systems. It helps IT Ops and DevOps teams work smarter and faster. It also denotes a shift from siloed data to a more dynamic business environment.

With AIOps, Ops teams can tame the immense complexity and quantity of data. This prevents outages, maintains uptime, and match endless service assurances. By 2022, 40% of all large enterprises will integrate big data and ML functionalities to replace and support monitoring, service desk, and automation methods (Source: Analytics India Mag).

AIOps Benefits

The prime advantage of embracing AIOps is that it provides momentum and agility to the Operations Team. This helps to ensure the uptime of vital services and timely delivery for better customer experience. Other AIOps benefits:

  • Data-Driven Decision Making

AIOps brings key ML techniques to the IT operations and helps with decision making. It enables the data-driven approach and automates responses. Such automated responses eradicate human errors and data errors. AIOps lets the organization focus more on resolution than detection.

  • Event Noise Reduction

Machine learning technology has great learning skills. With AIOps, using ML, the operations team can identify the error pattern and take immediate counteraction against the discrepancy.

  • Immediate Cause Identification

AIOps platform enables deploying correlation analytics. This helps teams to identify errors and its root cause by correlating monitoring data pointers. As a result, a team can resolve issues quickly and efficiently.

  • Predicting Event Warning

Early error detection is as necessary as fixing it. AIOps with advanced analytics can’t only detect the anomalies in the application performance, but also fix it efficiently for better customer experience.

  • Enhanced Customer Experience

AIOps can predict underlying availability and performance issues by collecting and analyzing data. It accelerates deployment and problem-solving processes.

Conclusion

AIOps is here to stay. It can potentially replace the traditional IT approach with streamlined automation and better efficiency. At Successive Technologies, we integrate the AIOPs, DevOps, and Agile procedures across the software lifecycles to improve operational efficiency and foster innovation. We deliver applications at the pace of business with comprehensive AIOps and DevOps services.

Build the next generation of your business with us now. Get started!

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