article thumbnail

Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

In December 2021, a vulnerability in a widely used logging library that had gone unfixed since 2013 caused a full-blown security meltdown. . Prior to founding AppMap, she founded DevOps security startup Conjur, which was acquired by CyberArk in 2017, and served as chief data officer for Generation Health, later acquired by CVS.

article thumbnail

Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

Currently, the demand for data scientists has increased 344% compared to 2013. A cloud architect has a profound understanding of storage, servers, analytics, and many more. DevOps Engineer. Then you can consider becoming a DevOps engineer by gaining complete knowledge about the lifecycle of the product.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How companies adopt and apply cloud native infrastructure

O'Reilly Media - Ideas

47% of respondents working in organizations that have adopted cloud native said DevOps teams are responsible for their organizations’ cloud native infrastructures, signaling a tight bond between DevOps and cloud native concepts. DevOps was by far the top choice for who manages the respondents’ cloud native infrastructures (Figure 13).

article thumbnail

Why Azure Databricks Usage is On the Rise

ParkMyCloud

The team who developed Spark went on to found Databricks in 2013 since which time they have raised $500MM in funding. . The Databricks platform allows enterprises to build their data pipelines across data storage systems and prepare data sets for data scientists and engineers.

Azure 40
article thumbnail

DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

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.

article thumbnail

Designing generative AI workloads for resilience

AWS Machine Learning - AI

Ingesting from these sources is different from the typical data sources like log data in an Amazon Simple Storage Service (Amazon S3) bucket or structured data from a relational database. He entered the big data space in 2013 and continues to explore that area. He also holds an MBA from Colorado State University.

article thumbnail

Kubernetes and its Versatile Applications of Container Orchestration

Openxcell

It is known to successfully increase DevOps productivity, streamline workflows and accelerate deployment while utilizing all resources. Storage management : Kubernetes allows users to choose from different storages such as local storages, clouds, databases, and more. What is Kubernetes?