
In a fast changing world where everything happens at the click of a button or a tap on a screen, customers constantly seek convenience moving providers to enhance their product experience.
Technology has entered almost every industry, including food, health, education, science, and business.
And not very far behind is our primary and most important sector, the banking sector.
The banking sector, with its fast paced operations and high quality service, caters to a broader audience. In the process, the sector must secure its every service offering and multiple confidential transactions.
The dawn of digitalization proved crucial for enhancing the banking industry’s services, but fatal, too.
Security continues to a primary concern while banking especially in this digital world!
It takes a reliable brand and a concrete security firewall to make individuals believe their financials are safe.
While many technologies have improved banking facilities over the years, the powerful combination of DevOps and security integration, DevSecOps, has benefited this industry. Here’s how!
How DevSecOps Makes Secure Banking?
Most bankers prefer predictability over agility in software delivery. However, for a bank to evolve over time, it should move from managing independent applications, information security, and operations departments separately to bringing them together to respond to change more quickly.
It is important to note that banks need the DevSecOps push to be future ready brands that can respond to change while maintaining security.
As crucial as DevOps collaboration and synchrony are, information security also plays a vital role in the development of bank applications.
Useful link: DevSecOps – A DevOps Savior to ‘Cybersecurity’ Challenge!

DevSecOps integrates security into every step of the development process. With release cycles shortening to mere days, it becomes even more crucial to include and automate security.
Hence, future ready banks include security from the beginning and throughout the process.
When discussing banking, we no longer picture a building with designated departments, long queues, and waiting numbers.
Technology has made banking a smartphone experience, and that’s precisely why pinpoint security is also needed.
What’s next?
The future of banking depends on its ability to evolve with technology and apply best practices such as DevSecOps services.
For this, every key organizational stakeholder should be ready to adopt and implement technology, without which a bank will fail to maintain its ground and customer trust.
A futuristic bank will succeed only through the interdependence of its people, processes, and technologies, building an ecosystem of security, trust, and reliance.
DevSecOps Poised for Growth
With the growing demand for DevSecOps, its market size is projected to grow from USD 1.5 billion in 2018 to USD 5.9 billion in 2023 at a Compound Annual Growth Rate (CAGR) of 31.2 percent during the forecast period.

This trend is driven by increased demand for secure apps, with a primary focus on security and compliance.
Case Study: DevOps Solutions for the Data Analytics Industry
Veritis partnered with a leading data analytics provider to overhaul its core data analytics platform, optimizing performance, automating pipelines, and unifying integrations for reliable, high velocity delivery.
Challenge
- Persistent performance bottlenecks in the core data analytics application
- Complex data feed integrations threaten stability
- Manual processes are causing delays and errors
- Time consuming debugging across a heterogeneous tech stack
Veritis’ Solution
- Ran exhaustive pre release performance testing and tuning to eliminate bottlenecks
- Built scalable data enrichment pipelines for seamless external feed integration
- Automated key workflows with Microsoft BI toolsets and DevOps best practices
- Provided hands on debugging support and reusable monitoring components
Impact
- Sustained, high throughput application performance with zero major slowdowns
- Fully automated data processing pipelines, slashing manual effort by 70%
- Rapid, error resistant releases through on demand, compliant environments
- Proactive issue detection that cuts debugging time in half
Read the complete case study: DevOps Solutions for Data Analytics Industry.
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