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[WEBINAR REPLAY] How to build a culture of security in your software development teams

Audacix

Building a culture of security in you software development teams is not an easy task, but its crucial if you want to minimise the chances of unforeseen cybersecurity disasters and unfortunate media appearances. How to build application security into your software development lifecycle. Would that be helpful?

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The best SaaS apps have these 7 web application security controls

Audacix

The most secure web applications use best practice security features throughout the software development lifecycle. A cloud server, like an AWS EC2 instance, is still a server. The only difference is that it is sitting in AWS' datacentres, rather than in your office. Not really.

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Best application vulnerability assessment tools for software companies (paid & free)

Audacix

A vulnerability assessment tools or virtual app scanning for your software team has become as important as your git repository or your ticket management system. What are the benefits of using vulnerability assessment tools during software development? Why burden them with having to sit through training to learn a new tool?

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11 proven, DevOps best-practices for continuous improvement

Audacix

DevOps is really a set of ideas and practices that emphasise a culture and environment where building, testing, and releasing software can happen rapidly, frequently, and more reliably. DevOps best practices that will help you to run your software development projects smoothly. There is no wrong answer to this riddle.

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Bulletproof your software with these 12 best application security tools (SAST, DAST, CSPM & WAF)

Audacix

Table Of Contents As a software engineering leader, you know application security is no longer an activity that you can palm off to someone else. With the increasing number of sensitive data security breaches, it's essential to have the right automated application security tools in place to protect your software.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Compute engine (query engine): Performs the actual data retrieval. The Hive engine gave us more efficient access patterns to data lake storage.

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What Are SaaS Products + 22 Successful SaaS Companies to Follow

User Pilot

Notable PaaS providers include Google App Engine, Adobe Commerce, and Heroku. Key examples are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which provide scalable resources like virtual servers and storage. This lets you focus more on core activities rather than software development.