LightStep

2015
San Francisco, CA, USA
May 20, 2020   |  By David Klein
How do you know if the changes that you’re making to your microservices are having the desired impact to your end-users? What happens after a deploy? Did your app’s performance remain the same? Were any bugs introduced? Do you need to roll back? With Codefresh and Lightstep, you’re able to more quickly, more accurately, and more easily ensure that any commit and build results in a better experience for your end-users.
May 19, 2020   |  By Lindsay Tyson
It's one of the most intimidating moments in the life of an on-call engineer. The world is dark, everyone is asleep, and your pager goes off. Suddenly you're alert, disoriented, and running on adrenaline.
May 11, 2020   |  By Talia Moyal
How do we know whether something is “worth it”? Whether it’s valuable? For anything we buy – whether it be a meal, an experience, or a multi-year SaaS observability contract – we need to consider its benefits and subtract its costs. In order to assess future value, we want the benefits and costs to share the same units: only then is it easy to tell a straightforward ROI story.
May 11, 2020   |  By Alex Boten
We've all been there. You want to get started with distributed tracing, but don't have the time to revisit the codebase of dozens, if not hundreds of dozens of services in your system. Don't worry, OpenTelemetry's got you covered. Thanks to a great community effort from members of many organizations, the OpenTelemetry project has been able to quickly ramp up its ability to auto-instrument code in a variety of languages for many widely used third-party libraries.
May 6, 2020   |  By Karthik Kumar
One of the coolest things about my job is using our own product, Lightstep, to monitor the ongoing development of Lightstep. On the product side, we find opportunities for feature improvements and usability enhancements. On the operational side, we uncover issues, debug incidents, and gain more confidence in the software we’re releasing.
May 2, 2018   |  By LightStep
Report Finds Record Growth in Microservices is Disrupting the Operational Landscape
May 1, 2020   |  By Lightstep
Microservices migrations can be a challenge. What's the best approach to choosing your tech stack when splitting a monolith into a service-based architecture? What are the pros and cons of modern cloud infrastructure choices and reasons why you’d choose one over another? What monitoring solutions are available today and what are their strengths and weaknesses for maintaining, understanding and observing your new infrastructure?
Apr 29, 2020   |  By Lightstep
What are microservices? How do they work? Are they "better" than monoliths? Daniel Spoonhower, an expert in distributed tracing, answers these questions in more in this quick explainer. Daniel Spoonhower (aka Spoons) is the CTO and co-founder of Lightstep, an observability platform.
Apr 13, 2020   |  By Lightstep
What are the differences between monolithic and microservice-based system architectures? Which one should I be using? When should I migrate from a monlith to microservices? In this webinar, Stephanie Baum, a Senior Solutions Architect at Lightstep, helps answer all of these questions and more. Lightstep delivers unified observability, with visibility across multi-layered architectures, enabling teams to detect and resolve regressions quickly, regardless of system scale or complexity.
Apr 9, 2020   |  By Lightstep
In this conversation with Lightstep's Ben Sigelman, Bryan Cantrill recalls his experiences working alongside Jeff Bonwick at Sun Microsystems in the 90s, (almost) interviewing with Tom West for a position at Data General, the origins of DTrace, and the infamous "Shouting in the Datacenter" video.
Apr 2, 2020   |  By Lightstep
Lightstep's goal is to enable developers to connect the dots from a regression at the top of their stack – even in a mobile or web client – all the way down into CPU, memory, and garbage collection metrics within their infrastructure. In this video, you'll learn how to pinpoint the root cause of latencies and errors in your microservice-based system, and resolve deployment-related regressions, and assess the independent impact of partial deploys before fully rolling out.