Question: Can you recommend a tool that helps measure and optimize DevOps practices, such as deployment frequency and mean time to recovery?

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DevDynamics

If you want to measure and improve DevOps practices, DevDynamics is a good option. The service offers real-time metrics and AI analysis to help teams make data-driven decisions, optimize capacity and cut out busywork. It offers a range of metrics like mean time to recovery, deployment frequency and lead time for change that you can use to improve engineering velocity and team health. DevDynamics connects to GitHub, Jira and Slack, among other tools, and offers tiered pricing plans including a free option for up to 10 contributors.

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Code Climate

Another good option is Code Climate. This Software Engineering Intelligence service helps companies improve code quality and speed up development. It includes DORA Metrics for measuring DevOps practices, Team360 for improving team health, and Velocity for performance insights. Code Climate also offers Expert Guidance for personalized action plans and Dependable Data for trusted insights. It's geared for engineering executives, managers and developers who want to make data-driven decisions and automate processes.

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Datadog

If you're looking for a more general-purpose monitoring and optimization service, Datadog is worth a look. The service offers real-time information on performance, security and user experience, so you can quickly spot problems and optimize systems. Datadog's features include infrastructure monitoring, application performance monitoring and security monitoring, and it can connect to a variety of cloud computing providers. That makes it a good choice for companies that want to monitor their full technology stack and improve overall system performance and reliability.

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Dynatrace

Dynatrace is another strong option, with observability, security and business analytics. It helps teams innovate faster and deliver better business results, with tools for digital experience monitoring, business analytics and security protection. Dynatrace monitors more than 650 technologies and offers contextual data analysis to help teams troubleshoot and optimize. It's well suited for companies modernizing their cloud computing infrastructure and that need integrated tools for developers, operations and security teams.

Additional AI Projects

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Honeycomb

Combines logs and metrics into a single workflow, with AI-powered query assistance, to quickly identify and resolve problems in distributed services.

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Logz.io

Accelerate troubleshooting with AI-powered features, including chat with data, anomaly detection, and alert recommendations, to resolve issues up to three times faster.

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Splunk

Unify security and observability with AI-driven insights to accelerate digital transformation and resilience.

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GitLab Duo

Unites teams in a single application, automating software delivery and protecting the end-to-end software supply chain with AI-infused workflows and security integration.

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ServiceNow Cloud Observability

Uses AI to spot problems and respond to changes in cloud-native and monolithic applications, improving uptime and reducing mean time to resolution.

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Harness

Harness automates and optimizes the software delivery process, streamlining the developer experience.

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LogicMonitor

Unifies monitoring across on-premises and multi-cloud environments, providing real-time insights and automation with AI-driven hybrid observability.

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Observo

Automates observability pipelines, optimizing data for 50%+ cost savings and 40% faster incident resolution with intelligent data routing and reduction.

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Typo

Centralizes engineering data to identify blockers, automate code reviews, and boost developer productivity, driving predictability and business results.

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Digital.ai

Integrates software lifecycle management, providing predictive insights and automation to maximize business value and drive reliable software delivery.

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Prodvana

Automates release paths based on user intent, minimizing manual change management and increasing deployment frequency by over 50%.

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Edge Delta

Automates observability with real-time insights, AI-driven anomaly detection, and assisted troubleshooting, scaling to petabytes of data with flexible pipelines.

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Riverbed

Combines full-stack telemetry and AIOps to deliver exceptional digital experiences, automating remediation and providing deep IT environment insights.

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Conviva

Fuses real-time user behavior and system activity to provide AI-driven insights and alerting, enabling swift identification and resolution of Quality of Experience problems.

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Raygun

Automatically detects and diagnoses problems with detailed diagnostic information, using AI to create fast and accurate solutions for optimal app performance.

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Sonar

Automates code review with AI-assisted analysis, ensuring clean code delivery through immediate feedback, quality gates, and actionable results.

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SmartBear

Streamline software development, testing, and monitoring with a range of tools that improve app quality, scalability, and user experience.

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Sonar

Ensures top-tier code quality and security by detecting bugs and vulnerabilities, and providing real-time coding guidance and analysis.

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Site24x7

Unified monitoring for websites, servers, networks, applications, and cloud platforms, with instant notifications and corrective action insights.

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Split

Decouples deployment from release, enabling rapid feature delivery with 100% feature-level observability and instant impact detection.