6 DevOps Trends to Watch for in 2021

DevOps has come a long way and it will continue to shine in 2021 and beyond. With more and more companies adopting the DevOps culture, the trends keep changing as per market needs. Since many companies are looking for the best practices around digital transformation, it is important to keep an eye on the current DevOps trends.



Until now, DevOps trends have helped companies to come up with a baseline to predict how DevOps will respond to customer needs. Due to the massive DevOps deployment scenarios, organizations can witness delivering a massive value to the business.



  1. Migration to microservices



Well, it becomes essential for companies to migrate to microservices to be successful in their digital transformation journey. Adoption of multi-cloud terraform will be a definitive choice for automation of infrastructure for companies.



Technology is inevitably changing and monolithic systems are difficult to deal with. The microservices architecture will help in developing software that seeks to focus on single-function modules.



To achieve successful migration, organizations need to identify which part of the business could benefit from microservices architecture.



  1. Security will be a priority



Due to COVID-19, the worth of security increased more. It will be a crucial element in the software and application development process including – integrating, testing and implementing.



DevOps play a vital role in setting up the security policies, procedures and infrastructure. Hence, organizations must focus on developing security protocols.



Organizations that have an effective development team often fail to invest in application security. Having an application security team on board is the first step in enabling DevOps security.



  1. Serverless computing



Serverless architecture is gaining significant momentum amongst the DevOps community. Technology leaders like – AWS, Azure and Google Cloud Platform provide enhanced scalability, deployment and productivity at nominal cost.



Serverless computing allows developers to purchase backend services on a “pay-as-you-use” model. This approach offers developers and organizations a level of abstraction that enables them to minimize the times and resources.



  1. Infrastructure as a code



The IaC is a core principle in DevOps in the cloud, as the servers, network, storage devices etc. This allows organizations to make their infrastructure simple by automating the process. From reducing the downtime to preventing disastrous failure, organizations can achieve a lot.



Infrastructure as Code is evolved to solve the issue of environment drift, especially during the release pipeline. It enables the DevOps team to test applications in the product environment and prevent common deployment issues.



  1. Appearance of NoOps



NoOps refers to No Operations, which means the automated software will perform all the work that the operations team would do. Organizations don’t have to hire an operation team separately and can eliminate the need for human management.



It is all about implementing the processes that automate the IT infrastructure. Businesses are moving away from manual processes of database installations, configuring firewalls, publishing the SSH keys etc.



There are many ways to make NoOps possible. Organizations must look for solutions that automate infrastructure and deliver applications.



  1. Edge Computing



Edge computing is the practice of capturing, storing, processing and analyzing data. It means running fewer processes in the cloud and moving those processes to local places. However, the IT operations need to evolve effectively to monitor and manage new sensors, devices and data.



The explosive growth of interconnected devices that require real-time computing power continues to drive the edge computing systems.



DevOps will continue to be the choice of deployment in the enterprise market place. It offers reliable, scalable and high-performance delivery – and allows organizations to build solutions with lesser dependencies and management cost.



Companies employing DevOps and its current trends will improve their capability to create effective and robust applications.



With the right set of tools and the correct level of automation, we will help you improve end-to-end processes.



To know more about our services, get in touch with us today!

5 Types of Cyberattacks That you are Likely to face in 2021

Cyberattacks and their after-effects are considered one of the global risks. There are several types of cyberattacks that individuals and organizations can face. The attacks can be classified into –



  • Attacks that target to gain access to confidential data
  • Attacks that disable operations



COVID-19 pandemic has created something new to play for hackers. In response, many organizations have made their IT strategies flexible to protect their IT assets. A large number of security incidents are caused by insiders either through malice or negligence. Most of the cyberattacks rely on techniques like – infiltrating the IT system, gaining unauthorized access, weakening the network and so on.



To help your business prepared for the cyberattacks in 2021, we have identified the top 4 cybersecurity threats. In this post, we will you will know about some of the biggest cyber threats and how to equip your business with proper cybersecurity for 2021.



Before we get into details, let’s know a few things about the cyberattack.



What is a Cyberattack?


Cyberattacks are the assaults launched by cybercriminals using one or multiple devices against a single computer or network of computers. It will maliciously disable computers, steal data, and cause severe harm to the data. Most of the attacks intend to disable the computer system while others are intended to take control of the system.


It is important to know that cyberattacks can launch any kind of malicious program that attempts to damage, destroy or gain access to computer systems.


5 types of cyberattacks


Organizations incur severe financial losses, reputational damage, lose customers and face many difficult situations due to cyberattacks. To curb cyberattacks, organizations need a strong cybersecurity policy that safeguards the network and computer systems from unauthorized digital access.


There are different types of cyberattacks that are a serious threat to your organization. Let’s start with the top cyberattack on our list –


1.    Phishing


Phishing is one of the common types of cyberattacks that uses disguised email, text or phone calls as weapons. The goal is to trick the target into believing that the message is something they want. For instance – a notice from a credit card company asking the recipient to take any action to unblock their card. It is one of the widespread and pernicious attacks that are increasingly becoming sophisticated.


Nearly, one-third of data breaches in 2020 involved phishing. Crisis such as the covid-19 pandemic gave cybercriminals a big opportunity to lure victims into taking their phishing bait.  You can implement proactive measures to protect your organization.


2.    Malware attack


A malware attack is something when cybercriminals implant malicious programs or software on someone else’s device without their knowledge. The most common types of malware are – viruses, spyware, Trojan horse, ransomware etc.


Malware attacks can occur on all types of devices, regardless of their level of protection. It is difficult to detect and typically infect the user’s devices without their knowledge. Software updates are very important to fix or remove computer bugs. It is advised to run system scan or software updates as soon as they are made available.


3.    SQL Injection


SQL Injection is another kind of cyberattack that can run arbitrary commands against your database. A successful SQL injection attack can read confidential and sensitive information from the database, modify the database, administer operations on the database and do a lot more.


SQL queries are used to execute commands such as updates, data retrieval, record removal etc. The attackers use this method to access the backend data and damage the reputation of the company.


4.    Middle-man-Attack


MITM is a form of cyber eavesdropping in which the cybercriminals join the conversation between two parties and interpret the data through a compromised system. In many cases, organizations are unaware of the attack until data has been tampered with.


The Middle-Man-Attack can be executed in several ways that exploit the communications between other parties. Some of the MITM Attacks include – session hijacking, Wi-Fi eavesdropping, DNS spoofing, IP spoofing etc. This type of attack can be for financial gain or espionage,


5.    DNS tunneling


DNS tunneling is one of the difficult to detect cyberattacks that route the DNS requests to the attacker’s server. To establish a DNS tunnel, the attackers register a domain and setups a C&C server to send DNS query for a subdomain that represents encoded communication.


This cyberattack takes advantage of the fact that by using DNS requests to implement a command for the malware. The DNS is a flexible protocol and makes it possible for even unsophisticated attackers to use DNS tunneling technique to sneak data past the network security solutions.




There is an entire industry of cybersecurity that is focusing on adapting security practices to prevent cyberattacks. Businesses need to protect all their workloads, data and applications across multiple domains. They need integrated solutions to automate system monitoring, endpoint protection, vulnerability assessment and more to stop emerging threats.


If you would like to see how Amvion can help your organization defend against cyberattacks, schedule a FREE consultation with us today!

Manage supply chain operations using Data Analytics

Data analytics represents the ability to make data-driven decisions based on trusted data. The data is often visualized in the form of graphs and charts to generate meaningful insights.




The supply chain generates a massive amount of data and hence analytics will help to uncover the patterns and make decisions.  Big data analytics play a very important role in improving supply chain management by resolving the pain points at the operational and strategic level.





Analytics reports help the managers to monitor the performance and achieve operational efficiency to improve productivity. The key benefits of data analytics in the supply chain are as below –




Understand usage patterns



Supply chain industries are actively investing in data analytics to understand the usage pattern and behaviour of consumers. With more than 2.5 quintillion bytes of data created every day – data analytics is the art of cleansing, modelling and transforming the data to derive some meaningful information and use it for future predictions.




For instance – Airtel, one of the leading telecom companies use big data analytics to predict network growth, plan network expansions, retail the subscribers and increase revenue.




Inventory management




Another key advantage of data analytics is the effective management of inventory. Big eCommerce stores with a huge inventory and database have to overcome several challenges in terms of managing the inventory. Data analytics enables operation managers to get regular updates and identify the hurdles that slow down the supply chain process.




For instance – Amazon, one of the biggest online retailers use data analytics in inventory management. From selecting the nearest warehouse to distributing the inventory as per customer preference – everything is handled by big data analytics.




Execution and delivery




Big data can help with supply chain management by reconfiguring the moving parts to optimize the available resources and maximize the output. It is all about speed, accuracy and efficiency. Real-time data monitoring can reduce a lot of redundancies and result in significant performance improvements.




Besides, data analytics can help reverse the logistic costs such as – restocking the expenses, transportation cost, shipping overheads etc.




Types of Supply Chain Analytics




As mentioned earlier, supply chains generate a huge volume of data. Small, medium and large enterprises need to use supply chain analytics to streamline their operations –




  1. Descriptive analytics – Use descriptive analytics to improve the visibility of supply chain operations. The insights from descriptive analytics can be used to keep track of the operations. Y=Using descriptive analytics in the supply chain can reduce the overhead expenses and lower risks – while improving the supply chain.




  1. Predictive analytics – It is all about predicting future trends such as supply chain metrics, predicting future trends etc. Using sophisticated models, companies can determine detailed inventory requirements by usage, location and region. According to sources, companies that adopt predictive analytics models achieve a high return on their investment. Unlike historic analytics, predictive analytics allows supply chain companies to anticipate and prepare for the future.





  1. Prescriptive analytics – Prescriptive analytics is all about what you should do next. Enterprises can depend on prescriptive analytics to posture the inventory policy. These analytics use predictive analytics as a foundation and add optimization capabilities.




The rise of the digital supply chain has allowed supply chain companies and transportation services to work together in profound ways. We at Amvion labs offer unstacked data solutions that enable our clients to collect, organize and analyze the data for better decision making. Our Analytics solutions provide you with a 360-degree view of your target audience and help you improve content personalization, targeting and campaign performance.




Want to know more about how we can help you turn your big data into actionable insights? Contact us today!

Data protection and privacy laws in India – Everything you need to know

Indian organizations are facing a lot of problem due to the absence of a proper legislative framework to protect the data. There is a surge in the number of cyber crimes on a global scale.  India being one of the largest hosts of data processing, it is at higher risk of cyber crimes. Hence, there is a great need of data protection and privacy.



The data security council of Indian (DSCI) must strengthen the data privacy guidelines to prevent potential cyber attacks. The best solution comes from the legislative approach along with employee awareness. With increase cyber crimes, it is a high time to pay attention to data privacy in India.

Related – What is the role of AI in Cyber Security?










What is Data Protection?



Data protection refers to the set of policies or guidelines that seek minimum intrusion into the privacy of any individual through the usage of their personal data. There is no specific legislation in India dealing with data privacy and protection.



The Information Technology Act, 2000 contains a provision to prevent unauthorized use of devices and the data stored in them. According to this act – it is illegal to access unauthorized computers or data stored within them.




What are the Challenges with Data Protection?



Though the data protection law in India addresses various security issues and articulates the rights of individuals, it lacks a robust protection framework. There are several rules and guidelines such as – IT Act, Aadhaar Act, Right to privacy and Right to Information Act that govern the data privacy and protection in India.



Each of the above Acts seeks to establish basic protection practices in terms of collecting, storing and utilizing the data – while entitling certain rights to the data providers. Some of the challenges with data protection are –



  1. With the data growing exponentially over the last decade, organizations are at risk of data breach due to poor security practices
  2. Lack of security vulnerability patches
  3. Human error can significantly affect data and privacy
  4. The cost of maintaining data privacy is high



How to Overcome the Challenges of Data Protection?



Organizations should focus on data compliance and understand the legal basis of maintaining and processing the data. Data security is not just a compliance issue but is a great concern for the entire organization.




Cloud migration is likely to overcome the challenges of data privacy and protection. With the advent of technology, there is an increase in the adoption of cloud services.



Organizations need to implement adequate technical controls and identify the best practices to protect data. Here are some tips to overcome data security challenges –



  1. Make sure the cloud service provider has sufficient protection mechanism
  2. Create an access control policy so that only authorized users can access the data
  3. Ensure proper encryption of data so that no sensitive data is leaked
  4. Real-time security and monitoring of data













The lack of data privacy and security has become a major concern for organizations, especially the foreign IT companies that are doing business in India. The IT industry is sensitizing the government regarding the importance of data privacy.



With the new law introduced in 2018, organizations will have to handle the personal data seriously. Especially the start-ups whose business model is data monetization should make provision for storage limitation, data localization, privacy-by-design and string security measures.



The Indian laws seek to establish basic data privacy and protection practices through proper storing, usage and transmission of personal data.



Get in touch with us to transform your business by strengthening your IT security.

5 Use Cases of Data Analytics in Retail Industry

The retail industry has undergone many changes in recent years. The retailers are required to reduce the noise and reach their target audience by providing a unique and personalized approach. With the technology-driven approach, retailers are constantly listening to their customer needs, their reaction towards a new product and the competitors approach. This is where data analytics in retail industry comes into play!




With the help of information gained from big data analytics, retailers are preparing for the next wave of transformation. The big data is fuelling the retailers to formulate a strategy that helps them monitor their customer behaviour and offer services that meet their requirements.



Use cases of data analytics



Retailers can harness big data to uncover hidden trends that reveal new opportunities. And make better business decisions. Let’s take a look at the below use cases to better understand the value of data analytics in the retail industry.



1.      Personalize in-store experience


Data Analytics offer a new way to understand and analyse the behaviour of customers. Many retailers arm their sales executives with point-of-sale devices to make personalized recommendations and connect with their customers in a better way.




Understanding customer preferences will help retailers to highlight merchandise efforts that prefer their taste and budget. When highly personalized customer experience is provided to millions of individual customers – retailers gain a competitive advantage.



2.      Increase conversion rates


Retail companies need to target the right customers to increase conversion rates. To target the right customer, they need a 360-degree view of customer’s information. Today, customers interact more than they transact on social media or any other platform. Retailers should turn the interest of customers into wealth.




For example – several customers liked a travel channel on YouTube and frequently shopped at travel portals. The retailer can use this information to target their ads by placing special promotions on travel or related channels.



This gives the retailer a higher conversion rate and lower customer acquisition cost.



3.      Analyse customer journey


Today, customers are more connected with companies than ever before. Using social media platforms, they can access any kind of information about the company. Taking advantage of these trends, retail companies need to understand each customer’s journey across these channels.


Must Read – 5 ways retail analytics can improve your business


The analytics results from structured and unstructured data can reveal new patterns that aren’t convincible with traditional models. With customer journey analytics, retailers gain visibility into every behaviour of the customer – which in turn valuable insights to make informed decisions.




There are different stages of customer journey analytics – acquisition, activation and adoption. These three fundamental stages help retailers design an end-to-end journey experience for their customers.



4.      Inventory Management


Retailers often strive to maintain the balance between demand and supply. Organizations can unleash the potential of big data to minimize the risk of stock leftover and optimize inventory. Our models help retailers comprehensively plan their inventory based on the demands of their customers.





Leverage advanced analytics techniques like – supply-demand forecasting, supply chain optimization, inventory management etc for overall inventory optimization.



5.      Fraud Detection


Retailers can avoid bad user experience by identifying fraudulent behaviour. They can even flag it by predicting a fraud event at a very early stage. We often hear about incidents like – fraud in delivery, fraud in return, credit risk, abuse of rights and so on.




These incidents harm the retailer’s reputation significantly. With predictive analytics, retailers can detect fraud behaviour and safeguard their reputation.





Hope the above use cases of data analytics have you better understand of the benefits of data analytics in the retail industry. No doubt, data analytics can help retailers explore massive sets of structured and unstructured data to uncover customer insights, know about hidden patterns and other useful business information.



It is estimated that 60% of companies are gaining a competitive advantage for their organizations using data analytics.



If you want to use retail analytics and win more sales, get in touch with us!

4 Use Cases of Big Data Analytics in Manufacturing

Big data analytics holds an important role in the manufacturing industry as it provides actionable insights and improves the decision making of the organization. The big data projects in manufacturing start with viable use cases. For any manufacturing firm, it is important to find new ways to streamline their operations.




Today, manufacturing industries are going through a lot of automation to make sure they work in tandem. Analysing the big data use cases in the manufacturing industry can reduce the flaws in processing, increase efficiency, improve production and save money & time.




The big data use cases can provide deep insights into analytics and provide parameters for different types of data that can determine how to model the data.




Here are 4 simple use cases of big data analytics in the manufacturing industry –



Customized Product Design


With big data analytics in manufacturing, manufacturers can analyse the behaviour of frequent buyers. The data helps in understanding how to deliver goods profitably. Once the manufacturer determines the market need, the can use data analytics to determine the volume of products required in the market.



Earlier, companies used to depend on human estimates to understand the requirement. Today, they can rely on the data insights for custom product design.



Assure Better Quality Product


Quality maintenance is a priority for manufacturing units. Big data analytics in manufacturing is very useful in providing crucial information about deadlocks or fluctuations in the process of product development. Using big data predictive analytics – manufacturers can significantly reduce the number of tests required for quality assurance.




Supply Chain Risk Management


Data analytics can be of significant help in several areas of supply chain management. The manufacturers and suppliers have an option to share the production data with their customers or partners to gain trust. The manufacturer can understand where the supplier is delayed and avoid any lead time.




Based on the data, the suppliers can modify their production output. Using big data analytics, the manufacturer can analyse weather statistics for earthquakes, tornadoes, hurricanes etc.



Warranty Analysis


The big data contains useful information about the quality and reliability of the product. Analysing the data at an early stage can benefit manufacturers in identifying the abnormalities in products. It should be noted that early detection analysis helps in determining the abnormalities from warranty data.


Must Read – 5 ways retail analytics can improve your business


A warranty analysis is one of the important ways for companies to track the performance of products in the hands of customers. Global manufacturers spend millions of dollars every year to cover the cost of warranty claims. Warranty analysis help manufacturers save a lot in the long run.




These are just a few use cases of big data analytics in manufacturing. As the manufacturing industry is transforming with the help of advanced techniques, manufacturers need to realize the need to leverage innovation in their workplace.




If you are looking for a Data Analytics service provider in India, we are here. Our data science team can help you set up a robust analytics and data management platform. Get in touch with us today!

5 ways Retail Analytics can Improve Your Business

Data is the most critical and sought after the requirement for businesses of all sizes. Its application in retail sector ranges from discovering new sales opportunities to uncovering operational inefficiencies. Retail Analytics has been disrupting the industry for a few years.


Companies can leverage meaningful insights and can deliver more targeted promotions, better customer services and uncover continual opportunities for growth. Here is a close look at the 5 ways in which retail analytics can improve your business


  1. Know the customer behavior

One of the critical facts of retail marketing is to track and understand customer behavior. From in-store experience to online communication – analytics help in tracking the purchases and interaction with ads. Besides, it provides detailed insights into cart abandonment, closing a sale, and other things that help the retailer understand customer behavior and help them complete the buying process.


  1. Develop a strategic marketing plan

By knowing your target audience and understanding their requirements with retail analytics, you can send the right message to the right audience. In short, you can create a perfect marketing campaign, narrow down the branding details, try different message tone and understand consumer preferences in a better way. Retailers can use the data to make insight-driven strategies and implement a targeted marketing plan that results in higher conversions.


  1. Targeted promotions

Online retails always face the problem of converting leads. Retail analytics helps to improve the conversion rate with targeted promotions and predictive analysis. With Analytics, it is now possible for retail companies to uncover what products or promotions attract consumers. They can test and analyse new ways to capture the target audience.


  1. Improve operations

Using retail analytics, the operations are streamlined to maintain the supply chain. Companies use data for product tracking, stock verification, product inventory management, etc for better forecasting of the demand. It also helps in speeding the delivery of goods and making better decisions at different levels of operations. In short, it not only cut down the costs but impact the bottom line.


  1. Credit risk analysis

The main objective of retail analytics in credit risk analysis is to understand the borrower and assign a risk rating. The credit risk rating is derived by estimating the probability of default over a given period. This helps the retailer in estimating the amount of loss the business would suffer in the event of default. Retailers who offer credit to the consumers must take necessary steps to ensure they are minimizing the credit risk.

Besides the above, retail analytics helps in automating the custom reports, visual representation of data for clear understanding and more.


Related – 5 use cases of data analytics in retail industry

Wrapping up!


By adopting some of the trends in analytics, retailers can make themselves ready for changing tomorrow. Today,  e-commerce giants like –Amazon, eBay, Flipkart etc use retail analytics to help their customers find the product of their choice by understanding their behavior.



Grow your business with retail analytics and see a future of possibilities. Get in touch with us to know more about how data analytics can impact your business!

What is DDoS Attacks? Here are 5 Tips to Prevent DDoS Attacks

Is your business network at risk? How harmful is a DDoS attack to your server? Find out all about it here and learn how to prevent DDoS attack




Every network resource specifies a definitive limit to the number of requests they can process at the same time. Not only web servers, but also the channels that bind them to the Internet have a finite bandwidth. When the number of requests crosses this limit, the entire network can go downhill.




This is where we can identify a DDoS attack or Distributed Denial of Service attack.




An effective DDoS attack can damage an organization’s network for some good hours. According to Cloudflare, companies can suffer losses of $100,000 for each hour lost to such an attack.




Many brands have suffered a bad reputation in the name of inefficiency due to consistent DDoS attacks.




Read on to understand how DDoS attacks can affect your website or network. Also, take our suggestions to prevent DDoS attack.



What is a DDoS attack? What Harm Does it Cause?


DDoS attacks pose much trouble to Internet security. These attacks can disrupt the smooth-flowing traffic of targeted servers by flooding the traffic on your network.



The advantage DDoS attacks have over interconnected computer systems will help them access various devices like computers and IoT devices. That is, all devices connected to the Internet can be under threat during such an attack.



Such devices or bots or zombies, as they are called, will have malware in them that allows hackers/attackers to control the flow of traffic through them. Together, such ‘affected’ devices form the botnet.



The botnet is an attacker’s playground. A DDoS attack can be triggered remotely to a target’s IP address. This will overwhelm the network and convert the normal traffic into a complete mess that further denies service from the server.


Identifying a DDoS Attack


These are the ways in which a DDoS attack can be recognized.


  1. Unnatural traffic from a particular IP address
  2. Heavy traffic from similar users who share the same device, location or web browser version
  3. Irregular spikes in traffic between strange intervals


Related – What is the Role of AI in Cyber Security?


Ways to Prevent DDoS Attacks


By now, you would be aware of the need to prevent DDoS attacks on your network. It can cause your entire system to shut down for long hours and affect your brand name and customer service.



By following some of these techniques, you can reduce the probability of such attacks on your servers.


  1. Cater to Anti-DDoS Software Solutions

Many anti-DDoS software applications can be bought to monitor and recognize potential attack threats. Software modules may be attached to web servers to prevent DDoS attack. The Apache 2.2.15 software module holds the traffic to a website or server and serves requests partially from time to time till the server gives up.




  1. Prep Your Router to Dismiss Threats

This is a simple hardware manipulation you can do to prevent DDoS attacks. By configuring firewalls and routers to drop incoming ICMP packets and block DNS responses alien to your network, DDoS attacks may be cut down.



  1. Purchase a Protection Appliance

Security vendors sell appliances that work as guardians to network firewalls by blocking DNS responses. Fortinet, Check Point, Cisco, etc. are such vendors you may approach. However, these appliances would have limited capacity to handle the traffic. Some DDoS attacks can surpass such limits.



  1. Invest in More Bandwidth

Increased bandwidth can handle sudden spikes of traffic quite easily. This method has been rather popular for some time. But with the advent of amplification attacks, increasing bandwidth does not seem to offer proper protection.



  1. Spread Your Data Across Centres

By dispersing your data across geographically-spaced centres, an attacker might find it difficult to reach out to all of your data. This way, even if one of these attacks strikes you, only some parts of your data may be in danger.




Save Your Server!

By following some of these methods, your data can be protected. However, in the era of severe cyber-attacks, no protection is good enough.



Be cautious about your security system and consistently update it.

Why DevSecOps is critical for application development?

DevSecOps, the “Shift Left” movement is the practice of integrating security into the DevOps process. This approach involves creating a ‘Security as Code” culture within the organization. DevSecOps play a vital role in removing the bottleneck effects of traditional security models in CI/CD pipeline. The goal is to bridge the gap between Development and Security team – while ensuring fast and safe delivery of code.


In the digital era, securing the applications against hackers and cyberattacks can be quite challenging. DevOps involves continuous development and delivery of the application, while ignoring security.


As a Result, DevSecOps come into play! DevSecOps fixes the issue by integrating security from the initial stages of the development lifecycle.


Why DevSecOps is important?


DevSecOps streamlines two opposing goals “Secure Code” and “Speed of Delivery”. The security processes are baked into the development process, rather than being added as a “top layer’ to harness the power of a secure code. Independent security efforts become a priority, as more and more organizations depend on the cloud applications for smooth functioning and operations. The key advantages of DevSecOps include –


  1. Agility for security teams

DevSecOps is a combination of development, testing, building and deploying processes. The more automated, seamless and agile the security aspects are, higher are the benefits for the organization. The end result is to deploy secure applications into production while fixing the security issue without any compromise.


  1. Rapid response to the changes

In the world of continuous integration and rapid release cycle, DevSecOps ensure a faster response and quick delivery of critical changes. The code is fully testing from the initial stages using security tools and then rapidly deployed.


  1. Better collaboration between teams

DevSecOps increases the frequency of outcomes through enhanced practices – promoting a more cohesive collaboration between the development and security team – as they work towards CI/CD. It allows the security and development team to work under a single environment, and resolve issues at an early stage.


  1. Early detection of vulnerabilities

CI/CD ecosystem needs a fully integrated security testing and this is where DevSecOps come into play. It detects the vulnerabilities in the code at early stages and helps in speeding up the development process. Early detection of vulnerabilities in the code can save valuable time, resources and computing costs.


Bottom Line

As technology-driven businesses are evolving at a rapid pace, there is a great need for continuous threat modelling and management. So DevSecOps is crucial in modern application development where the applications are updated multiple times per day.


The modern applications need robust security practices from day one. In short, this cultural and technical shift helps organizations to address security threats in real-time.



Want to enhance the security of your application? Get in touch with us at [email protected]!

What Is DevSecOps? How is it different from traditional software development?

What is your priority; security or software delivery? Is it possible to ensure both a speedy delivery and strong security? Find out what it is all about?



There exists a tendency for marketers and business owners to conform to agile software development due to its popularity. This causes many organizations to regard DevSecOps as a mere extension of the traditional form of software development.



However, it does not limit itself to the principles of agile development alone. Both approaches hoard similar objectives. They are early detection of risks, cloud-native security, smooth performance and the maintenance of a perfect balance between agility and speed.

What makes it different from traditional software development?

The prime objective of DevSecOps is to integrate security features into the development process. For a long time in the agile environment, the security system has remained an isolated one which is later integrated into the final stage of software development. The advent of the collaborative framework of DevSecOps promised the integration of security with the process from beginning to end.



The priority given to security makes it different from traditional or Agile software development which only delivers the software. The two goals that are streamlined to be achieved with DevSecOps are Speedy Delivery and Secure Code.



There are many advantages involved with DevSecOps. What makes it different from the Agile development strategy? Does your business demand the switch to DevSecOps?




Read this blog to find out the differences between DevSecOps and Agile Software Development and decide for yourself.



DevSecOps vs. Traditional Software Development

Many tend to use both DevSecOps and Agile methodology ‘or’ substitute one with the other. However, there are features of both that need to be studied before deciding how to protect your application from threats. The requirements vary from person to person.



Traditional Software Development


  • Efficiency over everything else: Agile development is a technically-advanced methodology that prioritizes efficiency over security unless specifically curated otherwise. Security is a feature that can be integrated into it separately.



  • Security as an afterthought: Agile software development strategies focus on recurring developments cycles based on feedback. Even matured agile practices add security as an afterthought.



  • Underestimating the importance of cybersecurity: There is much risk in underestimating the relevance of cybersecurity in an agile development environment. This is where DevSecOps comes into prominence.


DevSecOps Environment


  • Security is the predominant priority: DevSecOps brings together software development and IT operations. It delivers high software quality as well as integrates security features.



  • Integration at early stages: The constant emphasis given to security by DevSecOps prompts it to apply security systems into the earliest stages of software development. This way, you can ensure that your process runs smooth and hindrance-free.



  • Quality assurance and a secure environment: No matter the kind of business you run, your database of vital information needs to be secured. IT security encompasses firewall protection, cloud storage security, cybersecurity, digital certificates, VPNs and the like.





  • DevSecOps fulfils this demand by focusing especially on security since the beginning of software development. This way, the priority is set in security since the germination stage of software development and quality assurance.



How can your Business Switch to DevSecOps?


Multiple organizations are involved in traditional software development practices. The switch to DevSecOps can pose some challenges.




However, the need to build a secure environment for your data to prosper in is becoming more and more essential today. You can develop and make changes to Agile networks if you please. But a switch to DevSecOps is always recommendable.




The DevSecOps model works with automated security triggers, avoiding the human element in ensuring regular checks. Automation is always desirable in large-scale cloud infrastructures. With the biggest of institutions relying on it, smaller businesses need to hesitate to confide.




Although the transition from Agile environment to DevSecOps may seem tiresome, in the long run, this will prove to be beneficial.




In Conclusion

Many organizations are learning about the potential danger of hosting a weak cybersecurity system. With more and more data that requires hard-core protection in the defence, finance and healthcare fronts, security has become the prime goal.




There is an impending risk of data breaches in all such sectors. This problem requires a security function which is a step higher to the conventional software development system.




The business world is thus acknowledging the relevance of DevSecOps and its benefits over agile systems of development.




If you haven’t begun thinking about the transition to DevSecOps, you need to gear up! If security is a priority for your firm, meet your goals with DevSecOps with additional integrated security practices. For help, contact us at [email protected]