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Optimize your DevOps

Software Development Optimization

Increase release velocity, improve reliability and comprehensively monitor CI/CD pipelines with industry leading metrics and actionable insights generated automatically from Jira, GitHub, Jenkins, PagerDuty, Bitbucket, Opsgenie, and more.

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Why Software Development Optimization?

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Increase release velocity and improve reliability

Benchmark and optimize application development velocity and system reliability based on DORA metrics.

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End-to-end Pipeline Visibility

Monitor and quickly remediate issues in your CI/CD pipelines.

Quicker Resolution

Set up in minutes

Automated setup for out of the box integrations across multiple software development tools such as Jira, GitHub, Jenkins, Bitbucket, PagerDuty and OpsGenie with Terraform.

Actionable insights

Real-time analytics that provide actionable insights

Sumo Logic collects data from each stage of the software development pipeline and has out-of-the-box dashboards that give you real-time, actionable insights. Benchmark performance against the industry-leading DevOps and Research Assessment (DORA) metrics and drill down into actionable insights to improve software delivery and development.

  • Deployment Frequency (DF), which measures how often code is deployed to production.
  • Lead time (MLT), which quantifies how long it takes to go from code commit to a completed production deployment.
  • Mean time to resolution (or MTTR), which measures the average elapsed time from when a service incident occurs to when it is resolved.
  • And change failure ratio (CFR), which describes the percentage of deployments to production that subsequently require remediation.
Actionable insights

Monitor all the moving parts from idea inception to production

“Every day we go to great lengths to ensure the accuracy, availability, and timeliness of the information that is shared across our entire network. To achieve this, real-time access and visibility to data flowing through the system is paramount. With Sumo Logic we are able to continuously monitor all the moving parts from idea inception to production deployment and back again. We can have honest conversations about how we deliver, monitor, and improve quality software. Using these insights, we can make decisions to ensure our millions of daily active users have the best experience, whether they’re looking for local headlines, national news or engaging entertainment.”

Gannett

Mike Millgate

Technical Quality Architect

Velocity and quality

Going deeper than DORA metrics, Sumo Logic’s Software Dev Observability provides visibility into your entire dev team’s performance

Software development observability is a predictor for increased productivity, customer satisfaction, team collaboration, healthier employees, and higher profit. The highest-performing dev teams deploy code 208 times more frequently, push to production 106 times faster with 7 times less issues, and fix issues over 2.6 times faster. (Source: DORA)

Velocity and quality

Easy, flexible and extensible

Jump-start Software Development Observability with simplified setup, automated data tagging, integrations with your DevOps tools and out-of-the-box dashboards

Get data flowing into Sumo Logic in just a few minutes. Sumo Logic leverages toolchain data by automatically connecting to Jira, Jenkins, CircleCI, GitHub, GitLab, Bitbucket, PagerDuty, and Opsgenie. Log data is sent to Sumo Logic and is automatically mapped to Sumo's unified schema and out-of-the-box dashboards, giving you full visibility into your software development and delivery process. Sumo’s app library provides added flexibility by extending beyond these integrations, to bring in data from other developer tools and technologies in the stack, giving you complete observability into the health and performance of your complex application development system.

Easy, flexible and extensible

You can’t declare victory if you can’t measure success

Sumo Logic’s Software Development Observability solution enables developers to continuously benchmark and optimize their performance and quality by automatically correlating log data from their CI/CD tools.