The Ten Most Popular DevOps Companies for 2023

The following companies are on our list:

Architect.io — The cloud platform and architecture-as-code framework offered by Architect.io claim to automate various DevOps tools and procedures.

ServerLT.com — According to the company, ServerLT.com has completed more than 5000 installations and 200 cloud integrations. The company has personnel with competence in container distribution, external dependency resolution and injection, recursive provisioning, and other activities. It works closely with several cloud service providers. They recently handled 10 MN+ sponsored traffic for mvfplayer.com (an OTT platform), which makes them incredibly dependable.

CodeSee — To help development teams save time and money on onboarding, code reviews, quality control, and compliance, CodeSee offers a platform that visualises, identifies, and automates code.

DuploCloud — Platform from DuploCloud promises no-code, low-code self-service cloud infrastructure automation for developers.

Esper — Esper touts its cloud platform for dedicated device fleets as DevOps for devices, enabling customers to install, update, and manage fleets.

Insightly Analytics — The process of evaluating data from Git and Jira to evaluate the effectiveness and performance of development teams is something that Insightly Analytics wishes to automate.

LinearB — From 1,500 to 5,000 development teams have been utilising LinearB’s products for engineering analytics and workflow optimization in the last year.

Modular — Even though Modular was just established recently , the $30 million fundraising round it received and the co-founders’ résumés make this firm one to keep an eye on.

Mondoo — According to the firm, Kubernetes, containers, servers, endpoints, software supply chains, public clouds, private clouds, Kubernetes, servers, and other business-critical infrastructure are all supported by Mondoo. It is compatible with Packer, Docker, Terraform, and other technologies.

ReadySet — Developers may create effective, real-time apps using ReadySet’s SQL caching engine without changing any code or databases.

Slim.AI — Slim was merely established last year. Investor interest in AI has already been generated by its developer platform, which is based on the DockerSlim open-source project for the creation of cloud-native applications.