Internet of Things

Everything is connected in the digital world.

The Internet of Things (IoT) is a reference to a collection of devices or objects that are linked together using an Internet connection. The hub for the collection (the “things” part) is what sends and collects data using the Internet, which helps the devices to make decisions and remember patterns and routines for action to be carried out without any manual involvement. IoT is about the connection of multiple devices to the Internet.
These devices can include multiple appliances that need to be connected for reasons including automation and real-time control of the device. As the IoT has both real-time and historical data stored, it can provide effective decision-making instructions to devices, and control certain actions and aspects of when and how they function. This technology enables your systems and devices to be automated for increased efficiency. With more devices being enabled with the IoT technology, businesses need to understand its benefits as well as explore the potential opportunities that it provides.
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The concept of IoT is characterized by two defining features

Automation: The general idea of IoT involves direct communication between various devices, and other hardware without human interference
Connectivity: Enhanced connections within one network on a global scale provide easy access to different types of information. Opsio provides the expertise required to help you elevate your business by adopting Internet of Things technology into your organization
Improved productivity and minimizing repetitive tasks: With IoT solutions, mundane tasks can be automated, it can reduce the workload, cuts down operational costs, so that various resources in your business can focus on more productive tasks
Efficient operation management: Another significant benefit of connected devices is gaining control over multiple operation areas, which include, inventory management, shipping, tracking, fuel, and spare-parts management
Cost-effective operation: IoT devices greatly facilitate management within individual departments and across the whole enterprise structure. Which results in reduced downtime periods, increased efficiency, and productivity
Improved work safety: With regularly scheduled maintenance checks, businesses can ensure they are always online, while ensuring operational safety as well as compliance with regulations. IoT technologies also reduce errors and increase efficiency
Business development: Connected smart devices can also provide insights to consumer behaviors on a regular basis. These insights can be utilized by businesses using analytics and targeted marketing campaigns through which leads can be generated
Better business opportunities: Accurate insights provide the toolset required to ensure your message is delivered at the right time, with the right content and introducing new products/services can all lead to various potential opportunities for your business to thrive
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Artificial Intelligence & Machine Learning

Work smarter with more productivity and lesser downtime.

In the Digital Disruption Age, innovations in technologies are effectively transforming businesses to be more profitable and streamlined. With businesses now dealing with large scale or advanced data architectures, it is essential that businesses have a comprehensive AI and ML strategy that can offer flexibility, efficiency and improve overall productivity. The applications of AI and ML have been diversified into various industries that have given birth to innovations like AI assistants on smartphones, improvements in cybersecurity, and self-driving cars.
As artificial intelligence takes the next step in its rapid evolution, businesses should be equipped with the infrastructure and knowledge required to race ahead of their competition. With AI and ML seeping into almost every major sector and every major industry, companies are wholeheartedly investing in these technologies due to its unlimited potential to not only increase business productivity and revenue, but also reshape society and mankind. By streamlining workloads, the cloud, AI and ML blend together perfectly to bring about innovative business solutions.
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Drive efficiency and scale by autonomous AI & ML services

The future of technology is automation. Automating mundane and repetitive tasks can not only save time and resources, but also provide valuable insights that you can gather to stimulate the growth of your business and save money by reducing operating costs.
The applications of AI/ML continue to make major industries improve their productivity, like Manufacturing, retail & e-commerce, travel, entertainment, healthcare, banking & finance, by making them more efficient.
Mobile/Smartphones: Artificial intelligence is used for voice assistant applications, healthcare applications, helping businesses gain insights on consumer habits and trends
Businesses: Businesses apply AI/ML technologies for product analysis, sales forecasting for better conversion rates, processing raw customer data and gaining valuable insights
Transportation: AI/ML technology is applied in driverless cars, automated public transport like metros and trains, while actively improving efficiency and providing the right customer support
Gaming: The gaming industry has consistently gained popularity and the application of AI/ML is used to improve player experience, create smarter NPC AI for a realistic gaming experience
Robotics: The application of AI and ML in manufacturing, aero design, mining, and military missions, not only reduces errors but also increases the precision and efficiency of the product
Education: By automating repetitive tasks like automating the grading and assessment of activities and providing valuable insights about students, AI has revolutionized the way we learn
Security: From personal alarms to home surveillance, AI technology can be applied to address security bottlenecks while improving real-time security
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Infrastructure as Code

Manage and provision computer data centers through machine-readable definition files.

Infrastructure as Code (IaC) is the process of managing and provisioning resources through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools. In simple words, IaC is the process of replacing the manual effort required for IT resource management and provisioning, through simple lines of code.
Most typically, the Infrastructure as Code procedure involves the following 3 steps:
Step 1: The developers define and write the infrastructure specifications in a language that is domain-specific.
Step 2: The files that are created are then sent either to a management API, master server, or a code repository.
Step 3: The platform then takes all the necessary actions to create and configure the computing resources.
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Here are the major tools used for Infrastructure as code:

AWS CloudFormation gives you an easy way to model, provision and manage a collection of related AWS and third-party resources, provision them quickly and consistently, and manage them throughout their lifecycles, by treating infrastructure as code. A CloudFormation template describes your desired resources and their dependencies so you can launch and configure them together as a stack.
Terraform is an open-source configuration orchestration tool for automating complex infrastructure scaffolding across any cloud platform, be it may be private on-premises or public system. It allows safe and convenient design, management, and enhancement of infrastructure as code. The tool aids the IT firms to provision, connect, run, and secure infrastructure and apps as per their requirements.
Cost Optimization: By removing the manual component, resources can be allocated to more productive tasks which reduces overall costs
Increased speed & efficiency: IaC enables faster execution while configuring infrastructure, increases visibility so your teams can work more efficiently
Reduced Risks & accountability: Automation removes the risk associated with human error, like manual misconfiguration which decreases downtime and increases reliability
Stable & scalable environments: Infrastructure deployments with IaC are repeatable and prevent runtime issues caused by configuration drift or missing dependencies
Testing & documentation: Infrastructure as Code enables DevOps teams to test applications in production-like environments early in the development cycle
Configuration consistency: IaC reduces possibility of any errors or deviations while decreasing the chances of any incompatibility issue
Enhancing existing security: Manage security bottlenecks better and consistently deploy them across your business, without the requirement of approvals
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Reap benefits for efficiency by utilizing containerization (Docker & Kubernetes)

Containerization is a trending topic amongst software developers as it is a valid alternative or companion to virtualization. With the technology quickly evolving, it has various benefits for developers and the operations team as well as improve overall IT infrastructure. Developers can create and deploy applications even faster and secure it against threats.
Containers are lightweight software components that bundle the application, its dependencies, and its configuration in a single image, running in isolated user environments on a traditional operating system on a traditional server or in a virtualized environment. Containers can also be referred to as a package of software and is held away from the host operating system, which in-turn makes it portable, secure, and bug-free.
To simplify the concept of containerization, it allows applications to be written once and can be run anywhere. The portability factor is crucial in terms of development processes and compatibility with the vendors.
AI is the theory and development of computer systems that can perform tasks that require human intelligence, such as visual perception, voice recognition, decision making and translation of languages.
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Types of containerization

Docker: Docker is the containerization platform which is used to package your application and all its dependencies together in the form of containers, so that your application works seamlessly in any environment (development, test, or production). Docker is a tool designed to make it easier to create, deploy, run applications by using containers. Docker architecture consists of Docker client, Docker Daemon running on Docker Host, and Docker Hub repository. Docker has client-server architecture in which the client communicates with the Docker Daemon running on the Docker Host using a combination of REST APIs, Socket IO, and TCP.
Kubernetes: Kubernetes is a portable, extensive, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. With a large, rapidly growing ecosystem, Kubernetes services, support, and tools are widely available and used accordingly. Kubernetes provides you with a framework to run distributed systems resiliently. It takes care of scaling and failover for your application, provides deployment patterns, and more. For example, Kubernetes can easily manage a canary deployment for your system, which is an upgraded version of an existing deployment, with all the required application code and dependencies. This type of deployment is used to test new features and upgrades.
Portability: By abstracting applications away from the host Operating System, a container environment makes applications run smoothly on any platform or cloud
Agility and speed: Containers are termed ‘lightweight’ because of their ability to speed up the application configuration and deployment processes
Scalability: Containerization technology offers higher application scalability. With a service-oriented application design, a container application holds the ability to handle increasing workloads
Faster deployment: Containers are known for their abilities to facilitate a rapid development environment to generate more applications because the portable applications use the platform’s source code to run
Ease of management: Container orchestration tools take care of application management, automating installation, scaling and management of containerization workloads
Security: Since applications run independently in separate containers, each of them will have their level of security. This feature of app isolation helps share additional features without any risk factor
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Databases provide the scalability, performance, and availability of commercial-grade databases at a fraction of the cost.

Data has become so valuable in today’s digital space, that instant access to various types of data directly affects the pace at which a business can grow. Database technologies can be defined as data management services that are refined and improved to offer the best-in-class solutions for businesses.
Most businesses need seamless access to data, quickly and efficiently. By offering quick, easy, scalable, and cost-effective access to databases, businesses can exponentially increase their speed and accuracy without facing any downtime or delays. With the endless potential of database technology in the cloud, businesses can establish the most efficient methods of managing their valuable data.
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There are many diverse types of databases

Opsio’s certified consultants can help you identify your business requirements to enable you to build use case driven, highly scalable, distributed applications. Opsio helps businesses manage their databases continuously and monitor clusters to keep workloads running.
With self-healing storage as well as automated scaling, so that businesses can focus on application development. These databases support multi-region, multi-master replication, and provide full oversight of your data with multiple levels of security, including network isolation, and end-to-end encryption.
Relational databases: Relational databases are the oldest type of database. As the name suggests, data was stored in multiple related tables, within which data was stored in rows and columns. The name comes from the way that data is stored in multiple, related tables. Structured Query Language (SQL) is the most common language for reading, creating, updating, and deleting data. Examples: Microsoft SQL Server, Oracle Database, MySQL, PostgreSQL and IBM Db2.
NoSQL databases: NoSQL Databases are databases that do not use SQL as its primary data access language, also referred to as non-relational database. Data in a NoSQL database doesn’t have to adapt to a pre-defined schema, so these types of databases are great for organizations seeking to store unstructured or semi-structured data. Examples: Apache Cassandra, MongoDB, CouchDB, and CouchBase.
Cloud databases: A cloud database refers to any database that’s designed to run in the cloud. Like other cloud-based applications, cloud databases offer flexibility and scalability, along with high availability. Cloud databases are also often low maintenance, since many are offered via a SaaS model. Examples: Microsoft Azure SQL Database, Amazon Relational Database Service, Oracle Autonomous Database.
Hierarchical databases: Hierarchical databases use a parent-child model to store data. If you were to draw a picture of a hierarchical database, it would look like a family tree, with one object on top branching down to multiple objects beneath it. Originally developed by IBM in the early 1960s, hierarchical databases are commonly used to support high-performance and high availability applications. Examples: IBM Information Management System (IMS), Windows Registry.
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Build highly available and scalable infrastructure by leveraging the power of microservices.

Microservices are an architectural and organizational approach to software development where software is composed of small independent services that communicate over well-defined APIs. These services are owned by small, self-contained teams.
Microservices (or microservices architecture) can also be referred to as a cloud native architectural approach where a single application consists of various loosely coupled and independently deployable smaller components, or services.
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Do more with Microservices

Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. This technology offers agility, flexible scaling, easy deployment, reusable code, resilience, and technological freedom.
Microservices have their own technology stack, inclusive of the database and data management models, they can be set up to communicate with one another over a combination of REST APIs, event streaming, and message brokers are organized by business capability, with a clearly defined line separating services often referred to as a bounded context.
Agility: Microservices allows small to medium size organizations to take ownership of their services independently. Microservices empower teams to be more efficient, and shorten the development cycle periods, which in turns improves overall efficiency of the organization.
Flexible Scaling: Microservices enable businesses to be independently scale each service and its features independently, to meet the requirements of the business. This makes teams more efficient in defining the right infrastructure needs, control costs and maintain high availability rates if demand increases.
Easy Deployment: With continuous integrations and continuous delivery, teams can roll back changes if certain challenges arise, or they must test out new ideas. The cost of failure is low, which allows businesses to experiment and fine tune their code so that they can accelerate time-to-market.
Technological Freedom: Microservice architectures allow businesses to have the freedom to choose the best tool to solve specific problems. This not only controls costs, but teams can pick and choose the right tool for the job with more flexibility.
Reusable Code: Breaking down software into small, well-defined modules allows businesses to use multiple functions for multiple purposes. A service written for a certain function can be used as a building block for another feature, as developers can create new capabilities without writing code from scratch.
Resilience: Service independence increases an application’s resistance to failure. Unlike monolithic architectures, it is not dependent on a single component. With microservices, applications handle total service failure by degrading functionality and not crashing the entire application.
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