On-demand ops: Streamlining ad-hoc production changes
Engineering teams are burdened by fragmented ad-hoc production changes—business interventions, bulk data jobs, and manual fixes—driven by custom scripts and credential sprawl. This talk examines risk, audit gaps, and duplicated toil through the lens of platform engineering and offers a real-world solution.
In many enterprises, ad-hoc production changes have become a chronic pain point, with teams independently crafting bespoke scripts, elevated-privilege hacks, and one-off workflows to address urgent business and technical needs. These range from reversing transactions via a maker-checker process to archiving data in bulk for compliance and ad-hoc database tweaks to support production operations.
This fragmentation leads to security risks, audit blind spots, duplicated effort, and a steep learning curve for new engineers. Rather than letting each team reinvent the wheel, platform engineering offers a path to consolidate these patterns into a cohesive, self-service capability that scales across the organization.
This fragmentation leads to security risks, audit blind spots, duplicated effort, and a steep learning curve for new engineers. Rather than letting each team reinvent the wheel, platform engineering offers a path to consolidate these patterns into a cohesive, self-service capability that scales across the organization.
On-demand ops: Streamlining ad-hoc production changes
Engineering teams are burdened by fragmented ad-hoc production changes—business interventions, bulk data jobs, and manual fixes—driven by custom scripts and credential sprawl. This talk examines risk, audit gaps, and duplicated toil through the lens of platform engineering and offers a real-world solution.
Panelist

Panelist

Panelist

Moderator

Aditi Agarwal
Principal Consultant, Thoughtworks
In many enterprises, ad-hoc production changes have become a chronic pain point, with teams independently crafting bespoke scripts, elevated-privilege hacks, and one-off workflows to address urgent business and technical needs. These range from reversing transactions via a maker-checker process to archiving data in bulk for compliance and ad-hoc database tweaks to support production operations.
This fragmentation leads to security risks, audit blind spots, duplicated effort, and a steep learning curve for new engineers. Rather than letting each team reinvent the wheel, platform engineering offers a path to consolidate these patterns into a cohesive, self-service capability that scales across the organization.
This fragmentation leads to security risks, audit blind spots, duplicated effort, and a steep learning curve for new engineers. Rather than letting each team reinvent the wheel, platform engineering offers a path to consolidate these patterns into a cohesive, self-service capability that scales across the organization.
On-demand ops: Streamlining ad-hoc production changes
Engineering teams are burdened by fragmented ad-hoc production changes—business interventions, bulk data jobs, and manual fixes—driven by custom scripts and credential sprawl. This talk examines risk, audit gaps, and duplicated toil through the lens of platform engineering and offers a real-world solution.
In many enterprises, ad-hoc production changes have become a chronic pain point, with teams independently crafting bespoke scripts, elevated-privilege hacks, and one-off workflows to address urgent business and technical needs. These range from reversing transactions via a maker-checker process to archiving data in bulk for compliance and ad-hoc database tweaks to support production operations.
This fragmentation leads to security risks, audit blind spots, duplicated effort, and a steep learning curve for new engineers. Rather than letting each team reinvent the wheel, platform engineering offers a path to consolidate these patterns into a cohesive, self-service capability that scales across the organization.
This fragmentation leads to security risks, audit blind spots, duplicated effort, and a steep learning curve for new engineers. Rather than letting each team reinvent the wheel, platform engineering offers a path to consolidate these patterns into a cohesive, self-service capability that scales across the organization.
On-demand ops: Streamlining ad-hoc production changes
Engineering teams are burdened by fragmented ad-hoc production changes—business interventions, bulk data jobs, and manual fixes—driven by custom scripts and credential sprawl. This talk examines risk, audit gaps, and duplicated toil through the lens of platform engineering and offers a real-world solution.
Panelist

Panelist

Panelist

Host

Aditi Agarwal
Principal Consultant, Thoughtworks
Sign up now

