Architecture Business Intelligence DevOps Microservices 
RapidValue
APRIL 20, 2020
‘DevOps’, a term that was coined a decade before has grown to become a household name in the IT industry. A recent Markets and Markets Research Report suggests that the DevOps Market Size is expected to grow to USD 10.31 Read on to know more about the trends that are about to affect the future of DevOps. Billion by 2023.
Gorilla Logic
MAY 19, 2021
For companies tackling business-critical and complex projects that support digital transformation and the current CEO agenda, the ability to rapidly produce minimum viable products (MVPs) is essential. Build the continuous integration, delivery, and performance testing that a DevOps or DevSecOps approach requires .
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Apiumhub
AUGUST 12, 2021
This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.
Kentik
MARCH 7, 2018
These data centers will be based on a highly efficient leaf-spine switching architecture with full mesh connectivity, enabling network traffic to flow “east-west” between any two servers with minimal latency. McKinsey offers a typical definition: “We define Industry 4.0
Bernd Rucker
MAY 27, 2020
The goal of this project is to define and validate architecture and stack. This project has a broader, more realistic scope and can be better leveraged to show off architecture, tooling and value of workflow automation to other people and teams within your organization. Which brings us to microservices.
Altexsoft
JULY 19, 2022
In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.
Altexsoft
FEBRUARY 10, 2021
Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.
Expert insights. Personalized for you.
69 
Let's personalize your content