Sponsor: LightStep

Lyft’s consumer mobile app has real­time transactions totaling more than one million rides per day, so performance is critically important. The smallest lapses – even a few milliseconds – contribute to negative customer experiences and lost revenue. As Lyft’s Vice President of Engineering, Pete Morelli, explained, “The bigger you get, the better you have to be. Half an hour of downtime may have cost you five rides early on, now it costs millions of dollars in rides. The level of reliability expected of Lyft is not trivial. People are riding to work or to doctors’ appointments.

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InVision is the leading product design collaboration platform that powers the world’s best user experiences. With intuitive tools for ideation, design, prototyping, and design management, the InVision platform gives users everything they need for digital product design, all in one place. More than 4 million people – at tens of thousands of companies, including eighty percent of the Fortune 100, and brands like Airbnb, Amazon, HBO, Netflix, Slack, Starbucks, and Uber rely on the InVision platform to make products users love.

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems. If you’re adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time.

Read this report to understand:

• Countless disconnected time­series statistics aren’t enough to explain the behavior of modern applications.
• Tools must identify, triage, and explain latency issues, as organizations adopt microservices
• It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.

Report Describes How to Confidently Measure and Explain Performance

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems.

If you’re considering or in the midst of adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time. Read this report to understand why:

• Countless disconnected time-series statistics aren’t enough to explain the behavior of modern applications.
• Tools must identify, triage, and explain latency issues, as organizations adopt microservices.
• It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.

Lyft’s consumer mobile app has real­time transactions totaling more than one million rides per day, so performance is critically important. The smallest lapses – even a few milliseconds – contribute to negative customer experiences and lost revenue. As Lyft’s Vice President of Engineering, Pete Morelli, explained, “The bigger you get, the better you have to be. Half an hour of downtime may have cost you five rides early on, now it costs millions of dollars in rides. The level of reliability expected of Lyft is not trivial. People are riding to work or to doctors’ appointments.

Learn More

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems. If you’re adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time.

Read this report to understand:

• Countless disconnected time­series statistics aren’t enough to explain the behavior of modern applications.
• Tools must identify, triage, and explain latency issues, as organizations adopt microservices
• It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.

Report Describes How to Confidently Measure and Explain Performance

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems.

If you’re considering or in the midst of adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time. Read this report to understand why:

• Countless disconnected time-series statistics aren’t enough to explain the behavior of modern applications.
• Tools must identify, triage, and explain latency issues, as organizations adopt microservices.
• It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.

Report Describes How to Confidently Measure and Explain Performance

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems.

If you’re considering or in the midst of adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time. Read this report to understand why:

• Countless disconnected time-series statistics aren’t enough to explain the behavior of modern applications.
• Tools must identify, triage, and explain latency issues, as organizations adopt microservices.
• It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.

Report Finds Record Growth in Microservices is Disrupting the Operational Landscape

Learn how companies are dealing with application performance challenges in their microservices environments and plan your strategy.

The 2018 Global Microservices Trends report provides data and insights to help you understand the challenges and opportunities you’ll face as you monitor applications in your microservices environment. Read this report to understand:

• What’s driving organizations to adopt microservices
• Whether companies are achieving success with microservices
• Evolving use of standards and frameworks for microservices
• Operational challenges you can expect
• Application performance management implications