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Using Serverless application development services, designing and developing an event-driven, containerized, serverless application is easy. With fully managed serverless solutions, businesses create optimized cloud infrastructure that consists of highly scalable serverless applications, built-in high availability, fault tolerance, and pay-per-use capabilities. Serverless development eliminates the requirement for cloud users to reserve compute resources when deploying services.
Makes easier for developers to do update, fix and patch code and promotes quick product launch.
Reduce Infrastructure operational cost by removing the necessity of managing, deploying and maintaining the servers.
Serverless Architecture is easily scalable, makes it easier to scaleup when number of users increases and prevents the unexpected shutdown.
Migration to cloud with the serverless architecture can make the development process smoother, maximum resource utilization.
Completely managed Kubernetes solutions for enabling automated provisioning of clusters and deployment of the containerized apps.
Enterprise Kubernetes Solutions and Offerings
Develop and refactor cloud-native solutions for simplified, managed operations and no administration.
Implementing streamlined migration, modernization, and reengineering abilities for enterprises to develop next-generation apps.
Building Real-Time Data Processing Apps with capabilities - On-demand scalability, no administration overhead, and effective deployment.
Enterprise DevOps Strategy and Implementation Solutions for enterprises to empower Agility, Automation, and streamline the software delivery cycle.
Building efficient and Scalable solutions by developing Application frameworks with best practices.
Google Cloud Platform Services
Building scalable managed platforms for ensuring faster deployment of apps and optimized management of clusters.
AWS Services
AWS Serverless Computing provides end-to-end Solutions built around increasing agility, lowering the overhead of infrastructure management, and facilitating elastic scalability.
Build and develop auto-scaling capabilities
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
Enterprise AI
Big Data Engineering
Generative AI
DevOps
Data Science
Data Visualization
RESET
What is WebAssembly? WebAssembly is a project started by the World Wide Web Consortium (W3C) in 2015 to provide a standard high-performance and machine-independent byte code that is also safe. Wasm,...
With the constantly changing face of the digital frontier, one can now incorporate AI into everyday items, changing what it means to engage a product. The huge revolution in computing is driven by...
Today’s customer demands that he get his desired services or products with minimal waiting time in this global village. It has evolved from a value addition of providing perceived user convenience...
Real-time visibility into infrastructure and application failures is essential for ensuring high availability in today’s digital environment. Traditional monitoring solutions often struggle to detect...
With the current technological developments, it is common for organizations to have access to tons of information from different angles. The structures might include structured databases,...
Introduction to Apache Kafka In a data-driven approach, business decisions are based on data, not intuitions. Hence, data-driven organizations use this strategic process to leverage insights from...
Introduction of GenAI in Synthetic Data Synthetic data generation creates new datasets that imitate real-world or real customer data but are artificially generated. This technique involves producing...
What is Generative AI? Generative AI is a type of artificialintelligenceused to create new content like Images and technical or non-technical information in text or code. Many Generative AI tools...
Global Generative AI trends The generative AI market is experiencing rapid growth, driven by technological advancements and increasing demand across various sectors. Generative AI applications are...
DevOps for Databases -The Beginning Traditionally, changes to a database begin with the developers building the changes they will use to write the files in an SQL format. The changes made are then...
What is Application Release Orchestration? Application release orchestration is the coordination of the tasks associated with the deployment of software updates over different release environments,...
What is Release Engineering? Release engineering is a new and rapidly growing subject of software engineering. It derives the standards for application development and is seriously followed to ensure...
Evolution of Analytics in the last decade Around ten years ago, the tools for analytics or the available resources were Excel, SQL databases, and similar relatively simple ones compared to the...
Federated Learning Overview Federated learning is a Machine Learning technique that involves training an algorithm through several decentralized edge devices or servers that carry local data samples...
Introduction to Machine Vision It has become a superior technology for automated visual inspection in manufacturing worldwide. Due to increasing system integration competence and technology...
Introduction to Streaming Data Visualization Streaming Data Visualization gives users Real-Time Data Analytics to see the trends and patterns in the data to take action rapidly. It is the control of...
Importance of Data Visualization Data visualization is a powerful tool that transforms complex datasets into visual formats, making it easier to understand trends, patterns, and insights. In an age...
What is user Experience Testing? User experience testing is having actual people engage with a website, app, or other product you've created and analyzing their behaviours and reactions. It is a...
Clutch Review for Big Data and Cloud Consulting XenonStack Joins Clutch’s Research of Best Big Data and Cloud Consulting Companies. Read more about the review XenonStack Big Data Analytics Consulting...
Introduction The transition to 5G is not just a small step forward; it's a groundbreaking move that revolutionizes the entire spectrum of wireless communication. While much has been said about public...
Introduction In today's digital age, the need for faster and more reliable network connectivity is more crucial than ever. Whether you're streaming video content, playing online games, or running a...
Financial institutions are operating in an environment increasingly characterized by risks that are more complex and dynamic than ever in a world of rapid technological change. Risk is born in market...
The COVID-19 pandemic dramatically changed how people work, making remote work more popular and affecting SOC cybersecurity. This crossed over with, due to employees logging into company networks...
As the digital world becomes more interconnected, two transformative technologies are leading the charge: edge AI and 5G networks. Together, their potential is to reshape industries as they become...
In supercomputing, the distribution of network traffic has an overwhelming impact on a system's overall effectiveness and reliability. With increasing application usage, more traffic has to be dealt...
In today's fast-paced digital world, large-scale application management is important. As companies more readily embrace microservices frameworks, the dilemma of deployment, scaling, and maintenance...
Introduction SLO-Based Multi-Stage Delivery The software development industry is very dynamic, and there is always a demand for delivering quality applications. Developed software is required to be...
In today's global environment, organizations find themselves vulnerable to ever-more-subtle cyber threats, and simple methods of guarding against cyber threats prove ineffective. As attackers...
In today’s cyberspace perspective, threats are frequent and growing sophisticated in their modes of operations to harm an organization, hence the need for better methods and mechanisms. Many of the...
Find out more about levaraging the true potential of AI
OpenFAAS
Knative
Edge Computing
Microservices
Turn anything into a serverless function that runs on Linux or windows through Docker or Kubernetes
Support enterprises to run applications with workload autoscaling, and traffic monitoring deployment capacities.
Distributed computing paradigm to bring computation and data storage closer to the sources of data.
Architecture to scale and deploy applications independently.
