Zero Trust is a heightened security measure that blocks people and devices from accessing company data by default, only allowing access to those who prove they require it. Zero Trust assumes restricted access to company resources by all: Anyone or anything accessing company resources requires verification each time the system is accessed. There are no options to “trust this device next time” or “save password for next time”.

A security incident is the last thing any DevOps lead wants to see. Along with the vast number of protocols required to overcome an incident, there’s a hefty amount of paperwork to complete. Security incidents can even lead to legal repercussions, if personal data is leaked. Incident response templates offer insight into: An incident response plan template drastically reduces the time and effort spent dealing with incident reports.

How are you delivering Slack incident management workflows that serve the many teams across your enterprise? How are you addressing the differences in their use cases, access needs, isolation needs, and tech stacks, all while enabling everyone to collaborate? These are challenging questions to answer. To effectively do so, you have a host of conditions to support at the team and company-wide levels: ‍ Team ‍ Company-wide ‍

For many organizations, ServiceNow is a crucial platform to run and scale your organization across all departments. Many organizations’ engineering teams have been relying on ServiceNow Incident and Problem Management. Despite that, many have been experiencing a growing volume of incidents hindering their ability to scale not only their incident response but also their retrospective operations, potentially compromising their data governance and compliance requirements.

DevOps is a term combining “development” and “operations”. It involves the use of tools and processes to minimize the time and effort spent on software creation and maintenance. Many DevOps technologies use automation to reduce manual tasks. These DevOps automation tools sometimes use AI-based technology to remove human-based operations, or simpler scripting and processing. This increases speed in feedback and performance between development and operations departments.