Protocols and guidelines are at the heart of data engineering and application development, and the data which is sent using network protocols is broadly divided into stateful vs stateless structures – these rules govern how the data has been formatted, how it sent, and how it is received by other devices (such as endpoints, routers, […]
Read More… from Stateful VS Stateless – What’s right for your application?
Data observability is all about the ability to understand, diagnose, and manage the health of your data across multiple tools and throughout the entire lifecycle of the data. Ensuring that you have the right operational monitoring and support to provide 24/7 peace of mind is critical to building and growing your company. […]
Read More… from Getting data observability done right – Is Monte Carlo the tool for you?
Site Reliability Engineering (SRE) is a set of practices and principles that bring together software engineering and IT infrastructure in order to create highly reliable and scalable software systems. […]
Read More… from 4 SRE metrics you should absolutely be measuring
According to the McKinsey Global Institute, data-driven organisations are 23 times more likely to acquire customers. A business’s data used effectively can be incredibly useful for a business to understand performance, make data-driven decisions and remain agile. World-renowned brands such as Netflix and Starbucks have adopted a data-first approach to drive significant growth and success. […]
Read More… from Data engineering best practices you need to implement
In our latest edition of the ‘Meet the team’ series, we get an insider’s perspective from one of our women in tech – Harshada Khase, a software engineer who has recently joined the Ardent technology team. Harshada has come on board with a willingness and eagerness to achieve and deliver. We look forward to seeing […]
Read More… from Meet the team: Harshada Khadse – Software Engineer
In the latest of our ‘Driving Ardent Innovation Series’, a team led by Nikhil Singh and Rohan Chavan took a dive into DataDogs, a leading and widely used monitoring technology which is often an essential part of the DevOps tech stack. At Ardent we are committed to ongoing R&D so we encourage and support our […]
Businesses produce a lot of data, and handling that effectively can mean the difference between an effective operation or loss of opportunities; 90% of large enterprises have now adopted a multi-cloud infrastructure, and 60% of global corporate data is now stored on the cloud. […]
Read More… from Enterprise cloud modernisation VS Enterprise cloud migration – what’s best for you?
There are a lot of different data warehousing solutions on the market, and once you have made the decision to undertake data migration from one provider to another, it is absolutely vital that you not only choose the right technology partner but that you also plan your data warehousing solutions to meet your current needs […]
Read More… from 4 Essential steps to data warehouse migration
In our new series ‘Driving Ardent Innovation’ we cover some of the tech hacks, discoveries and POCS our R&D team make. We are committed to continuous innovation so we support and encourage our R&D teams to explore and learn technologies that will enable us to better serve our clients. In this edition, we will be […]
Read More… from Driving Ardent Innovation Series: Prometheus and Grafana
When it comes to effective database management and data engineering tasks, NoSQL services are a non-tabular option that are often well suited for big data, real-time web apps, online shopping, social networks, and Internet of Thing (IoT) tasks, amongst others. […]
Read More… from MongoDB Vs DynamoDB – What NoSQL technology is best for you?
