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118 Search results for "tracing"
118 Search results for "tracing"


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Raw & Real Ep 7. The Tracing You Deserve So You Can Observe

With tracing and observability, you can visualize the entire life cycle of service requests and discover hidden latency, errors, and optimization opportunities monitoring can’t show you. So why doesn’t everybody do it? Learn how to get there quick with OTel and Beelines.

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Distributed Tracing in Honeycomb

Distributed Tracing allows you to understand how services interact to fulfill your application requests. This video explains how to use Distributed Tracing in Honeycomb to debug your applications.

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Investigating Timeouts with Tracing

Tracing is one of the key tools that Honeycomb offers to make sense of data. Over the last few weeks, we’ve made a number of improvements to our tracing interface — and, put together,…

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Tracing and Observability for Background Jobs

Illuminating the under-loved with Honeycomb Most modern web apps end up sprouting some subset of tasks that happen in the “background”, i.e., when a user is not directly waiting on the request from a…

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Always Bee Tracing

At Honeycomb, we practice observability to know how our production systems are behaving in real-time. Distributed tracing is just one feature we use to solve issues fast and see what’s happening across all services. With tracing inside Honeycomb, we switch easily to different chart views – histograms, heat-maps and waterfall trace views.

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BubbleUp Meets Tracing (and Other Odd-shaped Data)

A few weeks ago, BubbleUp came out of Beta. We’ve been getting fantastic user feedback on how BubbleUp helps users speed through the Core Analysis Loop and lets people find things they never could…

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Distributed Tracing – A Guide for Microservices and More

Want to know what tracing is, what it’s for, and how to get the power that it offers to debug and explore your code in production? Distributed Tracing – A Guide for Microservices and More is for you. The 3rd volume in the Honeycomb Observability e-Guide Series, this guide covers an introduction to the topic of tracing, its history, how to think about tracing, and how to add traces to your instrumentation.

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Always Bee Tracing

If you are running a distributed system and have reached a point of scale where you’re running 5+ services, you are more than likely experiencing difficulties when troubleshooting. Does the following sound somewhat familiar?…

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Always Bee Tracing, SF/Bay Area Jan 24. 2019

Hands-on Tracing half-day workshop held Jan 24th, 2019 in San Francisco, CA. Go deep into your data with Honeycomb Deep Dive: Always Bee Tracing.  Register Here Buy Tickets on Eventbrite What to Expect Join the…

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Master Your Tracing with Charity and Wilde

Better software can be built when we know how it truly behaves when real uses interact with it. Charity Majors and Michael Wilde team up to show how events + distributed tracing make that possible.

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Tracing Summaries: Go Deep Without Getting Lost

I love traces. There’s something really great feeling about letting yourself spiral into the depths of a chunk of code, and see just how it breaks down. Even better, with Honeycomb, you can jump…

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Honeycomb Tracing Drives Efficiencies as carwow Scales

The explosive growth at carwow meant they needed Honeycomb Tracing to understand the complexity ineherent in their architectural decisionmaking, decoupling systems and passing requests across multiple apps using Kafka hosted on Heroku.

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There And Back Again: A Honeycomb Tracing Story

In our previous post about Honeycomb Tracing, we used tracing to better understand Honeycomb’s own query path. When doing this kind of investigation, you typically have to go back and forth, zooming out and back…

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How Honeycomb Uses Honeycomb, Part 9: Tracing The Query Path

This post continues our long-running dogfooding series from How Honeycomb Uses Honeycomb Part 8: A Bee’s Life. To understand how Honeycomb uses Honeycomb at a high level, check out our dogfooding blog posts first — they do…

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Get deeper insights with Honeycomb Tracing

We’re excited to introduce Honeycomb Tracing! Now, you can both: Visualize individual traces to deeply understand request execution, and Break down, filter, and aggregate trace data to uncover patterns, find outliers, and understand historical…

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Refine Your Observability Experience at Scale

Today, we announced that Refinery is now generally available. With Refinery, it’s now easy to highlight the critical debugging data you need and to stop paying for the rest. Refinery is a sampling solution…

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Sweetening Your Honey

Are you looking for a better way to troubleshoot, debug, and really see and understand what weird behavior is happening in production? Service-level objectives (SLOs) and observability can help you do all that—but they…

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On Not Being a Cog in the Machine

This is my first week here as the first dedicated SRE for Honeycomb, and in a welcoming gesture, I was asked if I wanted to write a blog post about my first impressions and…

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Honeycomb’s 2020 Blog Roundup

We’re here at last: the final days of 2020. Let’s take a look back at this year’s most popular Honeycomb blog posts. Observability 101 In Observability 101: Terminology and Concepts, Shelby Spees reflects on…

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Outreach Engages Their Production Code with Honeycomb

Outreach is the number one sales engagement platform with the largest customer base and industry-leading usage. Outreach helps companies dramatically increase productivity and drive smarter, more insightful engagement with their customers. Outreach is a…

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Observability 101: Terminology and Concepts

This post is to help orient folks who want to learn more about observability but maybe feel overwhelmed by the vocabulary list. The goal is to get everyone on the same page about what these words mean so that we can focus on leveraging the tools and ideas to build better software and deliver more value!

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Logs and Traces: Two Houses Unalike in Dignity

With Honeycomb, the engineering team at IMO was able to find hidden architectural issues that were previously obscured in their logs, generating new insights that unlocked reliability and efficiency gains.

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Honeycomb Observability Platform Demo

Watch this quick overview video as one of the Honeycomb Engineers takes you through Honeycomb’s unique style of observability. You may have heard the hype and here’s your chance to see it in action.

Ask any question and get results fast, no matter how many fields, without writing new code.

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Get on the Right Track with Our Rails Integration!

Whether you’re starting a new Rails project and want to build observability in from the start, or you’re investing in better observability for your existing Rails service, this tutorial will help you get the most out of Honeycomb right away.

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From 0 to Insight with OpenTelemetry in Go

Honeycomb allows you to send in data from a variety of sources. The steps to get there are a choose-your-own-adventure path and the choices to make may not always be clear to folks new…

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Buyer’s (and Evaluator’s) Guide to Observability

Evaluating observability tools can be a daunting task when you’re unfamiliar with key considerations and possibilities. This guide steps through various capabilities for observability tooling and why they matter.

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Spread the Love: Appreciating Our Pollinators Community

Have you heard the buzz about observability with Honeycomb 🐝? It’s the best tool on the market for observing your systems in real time to reduce toil and delight users. But don’t listen to us, listen to our kickass community of “Pollinators”–this blog post is dedicated to them 💖

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HoneyByte: Get a Taste for Sampling

Honeycomb’s event-based pricing model is pretty simple: we only care about how many events you send. For teams running workloads at scale, the question becomes: are all of my events worth keeping? How can you reduce overall event volume while maintaining fidelity? This HoneyByte is all about sampling strategies you can use to lower costs without sacrificing the value of your data.

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Updates to the Java Beeline: Sweeter Than Ever Before

We’ve released some improvements to our Java Beeline library! Allow me to share all the interesting new features. Hot topics: Spring Boot Sleuth Starter, JDBC auto-instrumentation, Simplified Beeline Builder, W3C and AWS trace header propagation.

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Using Honeycomb to Investigate a Redis Connection Leak

This is a guest post by Alex Vondrak, Senior Platform Engineer at true[X]. This is the story of how I used Honeycomb to troubleshoot redis/redis-rb#924 and discovered a surprising workaround. The Problem Emergent failures…

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Full Observability: From Push to Production

Observability means looking into your code as it runs in production, and understanding the impact of your changes in real-time. Understand what happens as soon as you do a code push until long after your code lands in production. With this clear understanding, make informed decisions, spend less time fixing, and more time improving.

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What’s an Event?

Honeycomb’s atomic data unit is an Event. This video describes exactly what an Event is in Honeycomb.

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OpenTelemetry Collector

The
OpenTelemetry Collector can be used to consolidate and process data from multiple different services. This video explains the OpenTelemetry Collector and how you can use it with Honeycomb to observe existing and new applications.

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The Raw & Real Approach to Observability

Practicing observability isn’t just about tools. It also means improving how you work together and how you share lessons across the team. Learning from each other helps everyone on your team become better engineers…

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What is Honeycomb’s BubbleUp?

When there’s a problem, which field has the clue? BubbleUp analyzes behind-the-scenes identifying the most likely fields with the keys to what’s causing outlying behaviors.

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The New Stack Context: Observability in the Time of Covid

Editorial Director at The New Stack, Libby Clark, spoke with Honeycomb’s Christine Yen on an episode of The New Stack Context podcast. Christine discusses Honeycomb’s new pricing structure, the results of a survey on…

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Take huge leaps with Honeycomb for Incident Response

As engineering teams shift from delivering services on monolithic architectures to microservices and even serverless environments, developers are no longer just responsible for creating and maintaining their code. Shared ownership has become the new…

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Pitfalls in Measuring SLOs – With Animation

We built support for SLOs (Service Level Objectives) against our event store so we could monitor our own complex distributed system. In the process of doing so, we learned that there were a number of important aspects that we didn’t expect from carefully reading the SRE workbook. This talk is the story of the missing pieces, unexpected pitfalls, and how we solved those problems.

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Honeycomb at OSU Libraries & Press

This is a guest post by Ryan Ordway, DevOps Engineer at Oregon State University. At Oregon State University Libraries & Press (OSULP) we have been using Honeycomb for about 18 months. We were in…

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OpenTelemetry: New Honeycomb Exporters

We’re really big fans of OpenTelemetry at Honeycomb. As we’ve blogged about before, OpenTelemetry is the next phase of the OpenTracing and OpenCensus projects. Instead of working on separate but similar efforts, those two…

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Pitfalls in Measuring SLOs

We built support for SLOs (Service Level Objectives) against our event store so we could monitor our own complex distributed system. In the process of doing so, we learned that there were a number of important aspects that we didn’t expect from carefully reading the SRE workbook. This talk is the story of the missing pieces, unexpected pitfalls, and how we solved those problems.

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They Aren’t Pillars, They’re Lenses

To have Observability is to have the ability to understand your system’s internal state based on signals and externally-visible output. Honeycomb’s approach to Observability is to strive toward this: every feature of the product…

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Bring Test Engineering into your DevOps practice

What do a test engineer and a DevOps or SRE team member have in common? The reality is that different teams need to proactively understand what is happening in production at critical milestones along…

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Get Started: Build One Simple SLO

Clover Health puts patients and care providers first. Learn how they derived their first SLO for the benefit of those who matter most – their customers.

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2019: The Year Bee-hind Us

Once again we are at the end of another year, facing into the endless potential of the next one, and thinking back on the fun and hard work behind us. Join me now in…

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Why I’m Grateful For Our Observability Community

It’s that season, when we take time to consider what we’re grateful for and extend thanks to those we value and the experiences we treasure. One special aspect of America’s Thanksgiving holiday is the…

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So You Want To Build An Observability Tool…

I’ve said this before, but I’m saying it again: observability is not a synonym for monitoring, and there are no three pillars. The pillars are bullshit. Briefly: monitoring is how you manage your known-unknowns,…

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The Path from Unstructured Logs to Observability

Are you starting out on your journey toward observability? Do you have a mandate from management, or are you a lone warrior in the matrix? From your starting point, how will you make the…

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Honeycomb Learn Ep. 5 Never Alone On-call

Switch from deep query to a trace waterfall view and spot outliers with Honeycomb BubbleUp heat-maps – these make debugging effortless and dare we say fun?

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Making Instrumentation Extensible

Observability-driven development requires both rich query capabilities and sufficient instrumentation in order to capture the nuances of developers’ intention and useful dimensions of cardinality. When our systems are running in containers, we need an…

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Honeycomb: Debugging, Collaboration Made Easier

Susan Hall of The New Stack describes Honeycomb’s new features: a redesigned home page, BubbleUp, distributed tracing accessed with a click, and added collaboration features.   She explains how these new features are “designed to…

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Welcome (to) Home

Our latest product update features an intuitive home (landing) page that orients users with a quick, real-time view into what’s happening right now in your production systems. Home displays commonly used queries and breakdowns,…

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Dynamic Sampling by Example

Last week, Rachel published a guide describing the advantages of dynamic sampling. In it, we discussed varying sample rates to achieve a target collection rate overall, and having different sample rates for distinct kinds…

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The Path from Unstructured Logs to Observability

If you’re trying to achieve observability starting with  unstructured logs, you’ve got some work ahead of you. Logs are no longer human scale.
When your only view of the system is through the instrumentation of your  code, how it outputs what it tells you is as critical as what it outputs. Discover the best path from where you are today to a future of observability with this guide.

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A New Bee’s First Oncall

I’m Honeycomb’s newest engineer, now on my eighth week at Honeycomb. Excitingly, I did my first week of oncall two weeks ago! Almost every engineer at Honeycomb participates in oncall, and I chose to…

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Calculating Costs for Observability

Debugging in production is a requirement for modern teams, especially for teams who ship frequently. DevOps teams need the best tools to debug issues when they come up, not just hope they can catch everything in staging. You need to make the move to next-gen APM–but how much will it cost? How much should it cost?

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Getting Started With Honeycomb Metrics

You can use metrics and events in the same interface for observability. This whitepaper shows you how to get metrics into Honeycomb, which ones to send, and how to analyze them along with your events.

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How To Learn Systems Debugging by People-watching

When I first joined this startup that makes an observability platform, I was a front-end Javascript developer who had never ssh’ed into production–I didn’t even know what tracing or monitoring or metrics were, let…

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Introducing Honeycomb Learn

So you’re interested in observability. Perhaps you’ve read an e-guide or attended a conference session or meetup and learned about the benefits related to having observable systems. Are you are feeling a bit stuck…

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Why Your Business Needs Observability

“…the average developer spends more than 17 hours a week dealing with maintenance issues, such as debugging and refactoring. In addition, they spend approximately four hours a week on “bad code,” which equates to nearly $85 billion worldwide in opportunity cost lost annually.”
-Stripe’s 2018 “Developer Coefficient” survey report

Find out how observability can help.

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How To Talk to Your Boss About Honeycomb

At Honeycomb, we’re pretty engineering-focused. We think our product is something every developer can benefit from, and we’re working to build something we would want to (and do!) use every day to make our…

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Coding with Confidence – CloudBees + Honeycomb

DevOps, Observability, Continuous Delivery, Test in Production, Chaos Engineering, and Software Ownership are all major themes in software development today, but why? In an ideal world, we get everything right the first time, nothing…

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2018: The Year Bee-hind Us

In just a few days, we’ll all be embarking on the new year–kicking its tires and planning our conquests for the months to come. This holiday in-between week, while the days are just barely…

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Observability For Developers

This guide provides the means to measure your current level of observability practice and how to get to the next level. It goes into detail about not just why, but how you can implement observability as an integral part of your development process and culture.

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Our Experience: Thundra Integration for Honeycomb

This is a guest post from Salih Kardan, Software Engineer @Thundra and Committer at Apache, formerly SRE @Opsgenie. He specializes in managing AWS services and loves to improve monitoring and observability of systems. Serverless…

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Achieving Observability

This guide discusses the history, concept, goals, and approaches to achieving observability in today’s software industry, with an eye to the future benefits and potential evolution of the software development practice as a whole.

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Announcing Fastly Real-Time Log Streaming to Honeycomb!

There are two sides to the observability coin–instrumentation (creating the data) and observation (making sense of the data). Fastly helps the world’s most popular digital businesses keep pace with their customer expectations by delivering…

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Honeycomb vs Elastic Stack: It’s about priorities

If you’ve been paying attention, you know that although collecting and reviewing metrics and logs is a core part of running a stable and successful service, access to raw events and the ability to…

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The Honeycomb Beeline for Go v2 is…Go!

We’ve seen folks do amazing things using our Honeycomb Beelines–getting their apps instrumented in next-to-no time, expanding their observability, growing their understanding of what is happening in their code in production. Now, prepare to…

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Best Practices for Observability

Observability has been getting a lot of attention recently. What started out as a fairly obscure technical term, dragged from the dusty annals of control theory, has been generating attention for one simple reason:…

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Event Foo: Designing for Results

This guest post from Matt Klein of Lyft is the fourth in our series on the how, why, and what of events. Event based tracing, logging, and debugging are very powerful tools for distributed…

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Finite state machines make instrumentation easy

This is the third in a series of guest posts about instrumentation. Like it? Check out the other posts in this series. Ping Julia or Charity with feedback! There is a way to structure…

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MongoDB and Honeycomb: My First 10 Minutes

Real-world examples An interesting side effect of the devopsification of the software industry is how many software engineers and operations engineers increasingly find ourselves in the role of “Accidental DBA,” responsible for operating, debugging,…