Cloud Solutions( Public, Private and Hybrid)

Public clouds are the most common way of deploying cloud computing. The cloud resources (like servers and storage) are owned and operated by a third-party cloud service provider and delivered over the Internet. Microsoft Azure is an example of a public cloud.
Private cloud is an on-demand configurable pool of shared computing resources allocated within a public cloud environment, providing a certain level of isolation between the different organizations using the resources.
Hybrid cloud is a cloud computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services with orchestration between the two platforms.

Cyber Security Solutions RPA

cybersecurity solution for small businesses. Services include attack detection, defense, and monitoring management to combat even the most sophisticated and high-volume attacks.
Robotic process automation (RPA) is being embraced by an increasing number of companies as a means to increase efficiency at a time when the skills shortage is huge.
Cyber security is important because government, military, corporate, financial, and medical organizations collect, process, and store unprecedented amounts of data on computers and other devices.


DevOps is a set of practices that automates the processes between software development and IT teams, in order that they can build, test, and release software faster and more reliably. The concept of DevOps is founded on building a culture of collaboration between teams that historically functioned in relative siloes.
A DevOps Engineer will work with development staff to tackle the coding and scripting needed to connect elements of the code, such as libraries or software development kits (SDKs) and integrate other components such as SQL data management or messaging tools that are needed to run the software release with operating .

Block Chain Technology

What is meant by Blockchain technology?
A blockchain is a database that is shared across a network of computers. Once a record has been added to the chain it is very difficult to change. To ensure all the copies of the database are the same, the network makes constant checks.

What is the purpose of Blockchain technology?
Purpose of Blockchain Technology: A blockchain technology is an online ledger that user data structure, to simplify the way we transact. It allows users to manipulate the ledger in a secure way without the help of a third party. It allows a free cryptocurrency through a decentralized environment.

Basic Features of Blockchain Technology
1. Cannot be Corrupted
2. Decentralized Technology
3. Enhanced Security
4. Distributed Ledgers
5. Consensus
6. Faster Settlement

Artificial Intelligence

Artificial Intelligence (AI) is the combined attribute of science and computer that makes the system or program or any machines perform the Intelligent and Imaginative functions of a human, independently and solution to problems, be able to make decisions.
Artificial intelligence can be used in many sectors such as transportation, finance, healthcare, banking etc. Artificial Intelligence application can serve in almost any Sectors right from suggesting information to even in your banking transactions. Impact of AI -which allows the machines to exhibit intelligence.
AI finds many useful applications in Internet-related technologies, such as digital marketing, creating and generating online content, digital advertising, Web searches, Web designs, chatbots, the Internet of Things (IoT) and others

Machine Learning

Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence
Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning.In its application across business problems, machine learning is also referred to as predictive analytics.

Data Pipelines and Visual Analytics

Data Pipeline is an embedded data processing engine for the Java Virtual Machine (JVM). The engine runs inside your applications, APIs, and jobs to filter, transform, and migrate data on-the-fly.
Visual analytics is an outgrowth of the fields of information visualization and scientific visualization that focuses on analytical reasoning facilitated by interactive visual interfaces.

Process Automation

Process automation, also known as business automation or digital transformation, is the technology-enabled automation of complex business processes. It can streamline a business for simplicity, achieve digital transformation, increase service quality, improve service delivery or contain costs.
Image result for process Process automation is the use of technology to automate business processes to sequentially transition from one task to the next with minimal human intervention. It finds global application across functions and organizations.

Orchestration systems like Kubernetes/ Ansible.

Ansible is an IT automation tool that deploys software, configures systems, and organizes more complex IT functions such as rolling updates or continuous deployments. On the other hand, Kubernetes is a system designed to orchestrate Docker containers.
Ansible is a configuration management tool and Kubernetes is a Docker container management tool. In practical terms, you use the two tools for very different things. Put simply Ansible pushes changes out to hosts while Kubernetes keeps your Docker containers up and running.