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It's a conference focusing on CI/CD, the Kubernetes Ecosystem, Agile, and Lean Business. It's both in-person and online for those wishing to take the virtual experience.
I was telling a story about how to take back control of your telemetry data. This will be some fun with telemetry pipelines and include several live demos.
Now let's look at the story I'm going to be sharing with the attendees and the slides I used.
Tonight I was live at their meetup sharing my session on now to sleep more, slog less, and get your Mean-Time-To-Sleep (MTTS) scores as low as possible!
I always want to reach out and thank all who attended to chat with PagerDuty's automation specialists and me from Chronosphere. It is always a fun time to share more about how to gain control over your telemetry data and observability challenges.
The final task is to always provide the slides I used on stage, so that anyone can pursue them at their own pace later. You'll find them below.
They are providing small bites, drinks, and get some cool PagerDuty swag, so come hang out and meet more automation enthusiasts experts.
There will be a hands-on demo session, a session with new automation tricks to bring back to your team, and my session on Mean-Time-To-Sleep (MTTS).
Join us for a couple of hours of power and chat with PagerDuty's automation specialists and me from Chronosphere to learn more about how to gain control over your telemetry data and observability challenges.
I'm going to be telling a story about how to take back control of your telemetry data. This will be some fun with telemetry pipelines and include several live demos.
Chronosphere will also have a booth so come chat with me about all things observability and pick up some nice SWAG we will be giving away.
Now let's look at the story I'm going to be sharing with the attendees.
Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation!
In this series you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series you'll have an understanding of how telemetry travels from your applications, to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.
The previous article explored the first part of how to link metrics to trace data using exemplars, where we configured our application to expose metrics and a Prometheus instance to collect those metrics. In this article we'll look at the second part focused on implementing the exemplars, tying together metrics with our trace data.
This inaugural event was really well done and had four different stages with talks from key-note speakers, leading experts and technical experts, and interactive workshops.
There were a lot of different opportunities for networking across the two day event in sunny Porto, where the food, snacks and drinks throughout the event were nothing short of amazing! There were over +300 attendees at the Alfandega Congress Center which is right on the Douro river, so the views from my session were stunning out over the river.
Below you will find the slides from my session and the abstract.
Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation!
In this series you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series you'll have an understanding of how telemetry travels from your applications, to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.
The previous article explored how developers are able to manually instrument their applications to generate specific metadata for our business to derive better insights faster. In this article we'll look at the first part of how to link metrics to trace data using exemplars.
This year's Infobip Shift EU was from 15-17 September and below you will find the outline of my workshop I'm giving covering observability for Platform Engineers.
My talk was based on an observability workshop collection covering metrics, tracing, pipelines, and visualization of telemetry data. Platform engineering can and should include observability from the basic start of their developer experience and these open source CNCF projects all provide what you need to get started.
Below you will find my slides and the original abstract from my workshop.
Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation!
In this series you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series you'll have an understanding of how telemetry travels from your applications, to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.
The previous article zoomed into the usage of Jaeger to help developers when visually exploring their telemetry data. In this article we'll help developers with manually instrumenting to add metadata specific to their application or business allowing them to derive better insights faster.
I spoke on the main stage which was hosted in the Croatian National Opera House, something that remains a special experience. I've stayed in contact with the organizers and went to Infobip Shift EU in Zadar last September presenting on avoiding the common pitfalls around the flood of cloud data that typically comes with the user experience. In the Spring I was at Infobip Shift NA in Miami to share a workshop focused on the Perses project.
This year's Infobip Shift EU is from 15-17 September and below you will find the outline of my workshop I'm giving covering observability for Platform Engineers.
Let's look at the session and activities around this year's event.
Are you ready for getting started with cloud native observability with telemetry pipelines?
This article is part of a series exploring a workshop guiding you through the open source project Fluent Bit, what it is, a basic installation, and setting up a first telemetry pipeline project. Learn how to manage your cloud native data from source to destination using the telemetry pipeline phases covering collection, aggregation, transformation, and forwarding from any source to any destination.
The previous article in this series we looked at the first part of integrating Fluent Bit with OpenTelemetry for use cases where this connectivity in your telemetry data infrastructure is essential. In this next article, we look at part 2 and finalize our integration of Fluent Bit with OpenTelemetry for use cases where this connectivity in your telemetry data infrastructure is essential.
You can find more details in the accompanying workshop lab.
Let's get started with this use case.
They list what you can expect as follows:
It will be located at the Alfandega Congress Center which is right on the Douro river, so looking forward to the views from my session over the river! Let's look at what I plan to talk about.
Are you ready for getting started with cloud native observability with telemetry pipelines?
This article is part of a series exploring a workshop guiding you through the open source project Fluent Bit, what it is, a basic installation, and setting up a first telemetry pipeline project. Learn how to manage your cloud native data from source to destination using the telemetry pipeline phases covering collection, aggregation, transformation, and forwarding from any source to any destination.
The previous article in this series we looked at how to enable Fluent Bit features that will help with avoiding telemetry data loss we saw when encountering backpressure. In this next article, we look at part one of integrating Fluent Bit with OpenTelemetry for use cases where this connectivity in your telemetry data infrastructure is essential.
You can find more details in the accompanying workshop lab.
Let's get started with this use case.
Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation!
In this series you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series you'll have an understanding of how telemetry travels from your applications, to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.
The previous article programmatically instrumented and configured an application to direct all telemetry data to a Jaeger instance for visual insights. In this article we'll zoom into the usage of Jaeger to help developers when visually exploring their telemetry data.
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Yesterday I was to be back to the Cloud Native London meetup, having been given the opportunity to present due to a speaker canceling at the last minute.
They have +7,000 members and it is, "...the official Cloud Native Computing Foundation (CNCF) Meetup group dedicated to building a strong, open, diverse developer community around the Cloud Native platform and technologies in London."
There was instead an evacuation of the area due to expected riots in the UK. I am sorry to miss the chance to present this session but still wanted to share below the slides from my session and plan to post a personal recording of the talk when I get back home from Lon.
I'm heading back to the Cloud Native London meetup this week, having been given the opportunity to present due to a speaker canceling.
I am always happy to help out and the hop to London from the Netherlands is a short and easy trip.
They have +7,000 members and it is, "...the official Cloud Native Computing Foundation (CNCF) Meetup group dedicated to building a strong, open, diverse developer community around the Cloud Native platform and technologies in London." You can also find them on their own slack channel, so feel free to drop in for a quick chat if you like.
The sessions I've presented previously include one from January 2023 about the pitfalls everyone should avoid with cloud data and a recording is available online if you want to revisit. Another session I shared was in January of 2024 on the pitfalls in observability in the form of a choose your own adventure talk which you can also watch the recording online.
Tomorrow, on Wednesday, 7 August in London I'll be sharing some brand new content on taking back control of your telemetry data.
Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation!
In this series you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series you'll have an understanding of how telemetry travels from your applications, to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.
The previous article we explored how to leverage programmatic instrumentation in our application as developers would in their daily coding using OTel libraries. In this article we carry onwards to improve the visualization of our telemetry data that was being displayed in console output. We are going to programmatically instrument and configure our application to direct all telemetry data to a Jaeger instance for visual insights.
Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation!
In this series you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series you'll have an understanding of how telemetry travels from your applications, to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.
The previous article we explored how to gain better insights by adding manual instrumentation to our application leveraging the existing auto-instrumentation. In this article, we move on to programmatic instrumentation in our application as developers would in their daily coding. We'll be using OTel libraries and eventually visualize the collected telemetry data in Jaeger.
Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation!
In this series you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series you'll have an understanding of how telemetry travels from your applications, to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.
The previous article we took our first steps in generating telemetry data using automatic instrumentation. In this article, we explore how to gain better insights by adding manual instrumentation to our application leveraging the existing auto-instrumentation.
Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation!
In this series you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series you'll have an understanding of how telemetry travels from your applications, to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.
The previous article introduced observability concepts and terms as related to OpenTelemetry and its components. In this article, we continue onwards with our first steps in generating telemetry data using automatic instrumentation.