- Internet of Things
- AI/ML
- Infrastructure as Code
- Containerization
- Database
- Microservices
Internet of Things
Everything is connected in the digital world.
IoT can be defined as the connection of multiple devices to the Internet. The Internet of Things (IoT) is a reference to a group of devices or objects that are linked together using an Internet connection. The hub for the collection (the “things” part) is what communicates the data using the Internet, which guides the connected devices to make insightful decisions, remember patterns and routines for action to be carried out with automation.
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. IoT devices can include multiple appliances that need to be connected for reasons such as automation and real-time control of the device. This technology enables your systems and devices to be automated for increased efficiency. With more devices being enabled with the IoT technology, it is essential that businesses need to explore the potential opportunities that comes along with IoT.
Opsio + IoT
Opsio provides the expertise required to help you elevate your business by adopting Internet of Things technology into your organization. The concept of IoT is characterized by two defining features:
Automation: The main principle of IoT requires direct communication between various devices, and other hardware without human interference.
Connectivity: Provide easy access to different types of information or data with enhanced connections within one network on a global scale.
Improved productivity and minimizing repetitive tasks: Ensure that various resources in your business can focus on more productive tasks with IoT solutions, mundane tasks can be automated, it can reduce the workload, cuts down operational costs.
Efficient operation management: Gaining control over multiple operation areas such as inventory management, shipping, tracking, fuel, and spare-parts management, can be highly beneficial for businesses.
Cost-effective operation: With reduced downtime periods, increased productivity and efficiency, IoT devices greatly facilitate management within individual departments and across the whole enterprise structure.
Improved work safety: IoT technologies also reduce errors and increase efficiencies by regularly scheduled maintenance checks, businesses can ensure they are always online, while ensuring operational safety as well as compliance with regulations.
Business development: Businesses can be more efficient targeted marketing campaigns by gaining accurate analytics and valuable insights into consumer behaviours. These insights can be utilized to be more efficient lead generation.
Better business opportunities: With businesses introducing new products/services, accurate insights provide the toolsets required to ensure your message is delivered at the right time, right location and the right audience, which increases potential opportunities for your business to thrive.
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Artificial Intelligence/Machine Learning
Lesser downtime and increased productivity with AI/ML
In the Digital Disruption Age, technological innovations are continuously transforming businesses to be more efficient and streamlined. With businesses now dealing with tremendous scale of data architectures, a comprehensive AI and ML strategy is essential so that businesses can be more flexible, efficient and improve overall productivity. AI and ML applications have been diversified into various industries that have led to innovations like AI assistants on smartphones, improvements in cybersecurity, and even self-driving cars.
AI’s rapid evolution has taken considerable leaps by revolutionizing the way many businesses operate. This means businesses should be equipped with the infrastructure and knowledge required to keep up with the competition. With AI’s flexible nature, it can be adopted into almost every major sector and industry, companies are more than enthusiastic in investing in such technologies due to its untapped potential to not only increase business productivity and revenue, but even reshape society and mankind. By streamlining workloads, the cloud, AI and ML blend together perfectly to bring about innovative business solutions.
Opsio + AI
Scale efficiently and streamline operations with autonomous AI & ML services.
The future of technology is automation. Automating mundane can save time and resources to businesses while providing actionable insights that can stimulate the growth of your business while maintaining costs and to make improvements on-the-go.
Manufacturing, retail & e-commerce, travel, entertainment, healthcare, banking & finance, sectors continue to be more streamlined and break boundaries through the application of AI/ML technology.
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) can be defined as the process of provisioning and managing resources through definition files that are machine-readable, instead of physical hardware configuration or interactive configuration tools. In simple words, IaC can be referred to as the process of automating manual tasks required for IT resource management and provisioning, just through simple lines of code.
The Infrastructure as Code process 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.
Opsio + Infrastructure as Code
Here are the major tools used for Infrastructure as code:
AWS CloudFormation offers an easy way to model, provision and manage a collection of related AWS and third-party resources, manage them throughout their lifecycles, provision them quickly and consistently by treating infrastructure as code. Through a CloudFormation template businesses can define required resources and their dependencies so that they can be launched and configured together as a stack.
Terraform is an open-source configuration orchestration tool mainly used for automating complex infrastructure scaffolding across any cloud platform, whether it might be private on-premises or even a public system. Businesses can safely and easily design, manage, and enhance the infrastructure as code. Terraform allows businesses to provision, connect, run, and secure infrastructure and apps, aligned with business goals.
Cost Optimization: Resources can be allocated to more productive tasks which reduces overall costs by removing the manual component.
Increased speed & efficiency: IaC enables quicker deployment when configuring infrastructure, increases visibility so your teams can collaborate more efficiently.
Reduced Risks & accountability: With the risk of human errors like manual misconfiguration is negated by automation while decreasing downtime and increasing reliability.
Stable & scalable environments: Runtime issues caused by configuration drift or missing dependencies can be avoided as Infrastructure deployments with IaC are repeatable.
Testing & documentation: Infrastructure as Code allows DevOps teams to test applications early in the development cycle within production-like environments.
Configuration consistency: Reduces possibility of any errors or deviations while decreasing incompatibility issues with IaC.
Enhancing existing security: Address security bottlenecks better and consistently deploy them across your business, without needing regular approvals.
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Containerization
Reap benefits for efficiency by utilizing containerization (Docker & Kubernetes)
Containerization is a hot topic with software developers as it has revolutionized the way we perceive virtualisation. Containerization offers various benefits for developers and the operations team while improving the IT infrastructure and keeping up with the pace of innovation. Businesses can deploy and create applications with more efficiency while securing it against threats.
Containers can be defined as lightweight software components that bundle applications, its dependencies, and configuration can be done in a single image, while running in isolated user environments on a virtualized environment or a traditional operating system. Containers are portable, secure and bug free as they are held away from the host operating system.
The portability factor is crucial in terms of development processes and compatibility with the vendors. To simplify the concept of containerization, it allows applications to be written once and can be run anywhere.
Opsio + Containerization
Types of containerization
Docker: Docker is a tool designed to make it easier to create, deploy, run applications by using containers. 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 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 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. 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. 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.
Portability: A container environment makes applications run smoothly on any platform or cloud, by abstracting applications away from the host Operating System.
Agility and speed: Because of their ability to speed up the application configuration and deployment processes, Containers can referred to as ‘lightweight’.
Scalability: Containers offers higher application scalability. A container application holds the ability to handle increasing workloads as it has a service-oriented application design.
Faster deployment: Containers can facilitate a rapid development environment to generate more applications because the portable applications use the platform’s source code to run.
Ease of management: Application management, automating installation, scaling and management of containerization workloads can be taken care of with Container orchestration tools.
Security: Since applications can run independently in separate containers, they will have their own unique level of security. App isolation also removes the risk factor of adding additional features.
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Database
Databases are cost efficient, scalable, performance and availability of commercial-grade databases.
Database technologies are data management services that are continuously refined and improved to offer the most efficient solutions for businesses. With data being 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.
Businesses now require instant access to data, quickly and more efficiently. With quick, easy, scalable, and cost-effective access to databases, businesses can easily increase their efficiency while minimizing downtime or delays. Database technology can expand the potential of the cloud, and businesses can establish their own unique methods of managing important data.
Opsio + Database Technology
Opsio helping businesses enhance the performance of products
Opsio’s certified cloud experts can guide your business to meeting its goals in a structured layout, by using case driven, highly scalable, distributed applications. Opsio empowers businesses to manage databases continuously and monitor clusters, while maintaining a healthy workload rate.
Businesses can focus on application development through self-healing storage as well as automated scaling. Add layers of protection to these databases as they 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: In Relational Databases which are the oldest type of database, data was stored in multiple related tables, and contained data which was stored in rows and columns. As the name suggests, data is stored in multiple, related tables. The most common language for reading, creating, updating, and deleting data is Structured Query Language (SQL). Examples: Oracle Database, Microsoft SQL Server, MySQL, IBM Db2 and PostgreSQL.
NoSQL databases: Databases that do not use SQL as its primary data access language, can be defined as NoSQL Databases, also referred to as non-relational database. These types of databases are suitable for organizations looking to store semi-structured data or unstructured data as the data in a NoSQL database need not adapt to a pre-defined schema. Examples: Apache Cassandra, MongoDB, CouchDB, and CouchBase.
Cloud databases: Databases that are designed and structured to run in a cloud environment can be referred to as cloud databases. Since the databases exist in a cloud environment, like other cloud-based applications, offer more flexibility and scalability, with high availability. They require low maintenance since most are offered through SaaS model. Examples: Microsoft Azure SQL Database, Amazon Relational Database Service, Oracle Autonomous Database.
Hierarchical databases: Hierarchical databases utilize a parent-child model to store data. Structured like a family tree, the hierarchical database, with one object on top flowing down to multiple objects below it. Developed by IBM in the 1960s, hierarchical databases can support high-performance and high availability applications. Examples: IBM Information Management System (IMS), Windows Registry.
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Microservices
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.
Opsio + Microservices
Get more done with Microservices
Microservices architectures make applications more scalable, quicker development, easier innovation, while accelerating time-to-market for new or updated features. Microservices provide reusable code, agility, flexible scaling, easy deployment, resilience, and technological freedom.
With their own technology stack, microservices are inclusive of the database and data management models, they are set up to communicate with each another over a combination of REST APIs, event streaming, and message brokers are organized by business capability, with a bounded context, which is a clearly defined line separating services.
Agility: Small to medium size organizations can take ownership of their services independently with microservices. Empower your teams to be more efficient, and with quicker development cycle periods, which greatly improves overall efficiency of the business.
Flexible Scaling: With microservices, businesses can independently scale each service and its features, while adapting to the requirements of the business. This makes teams more efficient in controlling costs, defining the right infrastructure needs, and maintain high availability rates if there is a spike in demand.
Easy Deployment: Teams can easily roll back changes if certain challenges arise with continuous integrations and continuous delivery, or they must test out new ideas. The cost of failure is minimal, which allows businesses to be more experimental and continuously refine 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. With more flexibility and by controlling costs, teams can efficiently choose the suitable tools.
Reusable Code: Businesses can use multiple functions for various purposes by breaking down software into small, well-defined modules. Services written for specific functions can be utilized as a building block for a different feature, empowering developers to create new capabilities without writing any new code from scratch.
Resilience: Businesses can deliver services more independently due to an application’s resistance to failure. Microservices are not built like monolithic architectures, they are independent. Applications can handle total service failures by degrading functionality and avoiding crashes of applications.
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