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CTO.ai
ByCTO.aiCTO.ai

CTO.ai

#56in Messaging
Discussions1
Followers14
OverviewDiscussions1AdoptionAlternativesIntegrations
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What is CTO.ai?

Slack-first, serverless DevOps platform for automating developer workflows in the CLI + Slack, without having to build for each specific platform. In short, streamline and accelerate your development team by enabling DevOps on Slack. We call it SlackOps.

CTO.ai is a tool in the Messaging category of a tech stack.

Key Features

Enable teams to build, run, and share workflow automationAutomate across tools and the entire developer lifecyclePublish Ops privately to your team or in our community registryDevelop workflows in your language of choice

CTO.ai Pros & Cons

Pros of CTO.ai

No pros listed yet.

Cons of CTO.ai

No cons listed yet.

CTO.ai Alternatives & Comparisons

What are some alternatives to CTO.ai?

Translate

Translate

Translate text into any language from within Slack. You can translate messages from others, your own messages, or any text. Power features include posting translations to the channel and automatically translating all messages posted to a channel.

Relay

Relay

It is an event-driven DevOps platform. It listens to events from 3rd party services like AWS, Datadog, PagerDuty, Jira and more to trigger simpler, smarter workflows that automate tedious tasks. A lot of existing solutions either require a lot of upfront DIY work (AWS Lambda or running your own script) or they weren’t built for DevOps teams (Zapier, IFTTT).

HelpDesk+

HelpDesk+

It makes it easy for your team to create and track help requests and streamlines your support process. It automatically maps all of your service request forms to Slack and creates workflows for each request type.

Missions

Missions

Missions.ai allows you to create and manage the end-to-end workflows for an unlimited number of processes. Completely customizable, workflows can be as simple or complex as you need. No coding required.

Sleuth

Sleuth

Track software deployments through your remote team's complete DevOps stack, integrating the tools your team already uses. Plan, schedule, and track releases across timezones, and when something goes wrong, quickly identify, resolve, and re-deploy.

Slack Workflow Builder

Slack Workflow Builder

With Workflow Builder, Slack users can easily create custom workflows that allow them to do all sorts of things, like: Standardize how requests are collected Triage outages in real time Get new team members up to speed with welcome messages

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Adoption

On StackShare

CTO.ai Integrations

Kubernetes, Golang, Slack, GitHub, Python and 1 more are some of the popular tools that integrate with CTO.ai. Here's a list of all 6 tools that integrate with CTO.ai.

Kubernetes
Kubernetes
Golang
Golang
Slack
Slack
GitHub
GitHub
Python
Python
Amazon EKS
Amazon EKS

CTO.ai Discussions

Discover why developers choose CTO.ai. Read real-world technical decisions and stack choices from the StackShare community.

Danilo Kaltner
Danilo Kaltner

Jul 16, 2020

Needs adviceonCTO.aiCTO.ai

That really depends of where do you see you application in the long run. On any application, any of those choices are excellent. You could argue about good support on JSON binaries, but even MySQL has an excellent support for that on the latest versions.

On the long run, when your application gets hundreds of thousands of requests per second, you might start thinking about how many inputs you will have in the database compared to the outputs. PostgresSQL it’s excellent at giving you outputs, but table corruption can happen when you start receiving this massive number of inputs (Which was the reason Uber switched from Postgres to MySQL)

On our OPS Platform at CTO.ai , we decided to use Postgres, because we need a reliable and agile way to send the output to our users, so that was out best choice in the long run for our product.

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