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 Cyber Attacks That you are Likely to face in 2021

Cyber attacks 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.  Most of the cyber attacks rely on techniques like – infiltrating the IT system, gaining unauthorized access, weakening the network and so on.



To help your business prepared for the cyber attacks in 2021, we have identified the top 5 cyber security threats. In this post, we will you will know about some of the biggest cyber threats and how to equip your business with proper cyber security for 2021.



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



What is a Cyber attack?


Cyber attacks are the assaults launched by cyber criminals 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 cyber attacks can launch any kind of malicious program that attempts to damage, destroy or gain access to computer systems.


5 types of cyber attacks


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


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


1.    Phishing


Phishing is one of the common types of cyber attacks 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 cyber criminals 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 cyber criminals 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. Run system scan or software updates on a regular basis.

3.    SQL Injection


SQL Injection is another kind of cyber attack 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 back-end data and damage the reputation of the company.


4.    Middle-man-Attack


MITM is a form of cyber eavesdropping in which the cyber criminals 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 cyber attacks 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 cyber attack 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 cyber security that is focusing on adapting security practices to prevent cyber attacks. 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 cyber attacks, 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!