Operations | Monitoring | ITSM | DevOps | Cloud

How Pipedrive switched its observability stack to OpenTelemetry & LGTM | ObservabilityCON 2023

The cloud-based CRM company Pipedrive has been relentlessly modernising its observability stack, first adopting Grafana visualisation and Grafana Mimir for Prometheus metrics, then recently completed a migration of its distributed tracing from a third-party SaaS provider to OpenTelemetry and Grafana Tempo, and its logging stack from Graylog to Grafana Loki. Along the way, the team developed its own in-house library to include OpenTelemetry in its roughly 750 microservices.

Manage metrics & logging costs with Grafana Cloud + Log Volume Explorer demo | ObservabilityCON

Are your SRE and platform teams under pressure to ingest fewer metrics and logs in the name of cost savings? Reducing costs does not have to mean reduced observability. This recording walks through the cost management features in Grafana Cloud that allow you to analyze, attribute, monitor, and optimize your metrics and logs usage – and lower costs – without compromising your observability strategy.

How the LGTM Stack changed the observability culture at Wise Payments

The observability team at Wise Payments – Europe’s leader in cross-border money transfers – had long provided the company’s developers access to a multitude of tools. But as costs and complexity increased, Ibukun Itimi, Engineering Lead for Observability and Andrew Brown, Reliability Squad Lead, saw an opportunity to change not only the tools they were using, but also the observability culture.

Best practices to scale and modernize your observability strategy

ObservabilityCON 2023 took place in London this week, showcasing all the latest and greatest trends in open source observability. Following the opening keynote, the event featured a range of breakout sessions — led by both Grafana Labs experts and members of the Grafana OSS community — that explored observability best practices and lessons learned.

The Grafana OpenTelemetry Distribution for Java: Optimized for Application Observability

The OpenTelemetry project provides many different components and instrumentations that support different languages and telemetry signals. However, new users often find it hard to pick the right ones and configure them properly for their specific use cases. For this reason, OpenTelemetry defines the concept of a distribution, which is a tailored and customized version of OpenTelemetry components. Here at Grafana Labs, we are all-in on OpenTelemetry.

The Grafana OpenTelemetry Distribution for .NET: Optimized for Application Observability

The OpenTelemetry project provides many different components and instrumentations that support different languages and telemetry signals. However, new users often find it hard to pick the right ones and configure them properly for their specific use cases. For this reason, OpenTelemetry defines the concept of a distribution, which is a tailored and customized version of OpenTelemetry components. Here at Grafana Labs, we are all-in on OpenTelemetry.

What is DevOps? Grafana for Beginners Ep.2

As a beginner in DevOps, you probably have come across multiple definitions of DevOps and countless things that fall under the DevOps umbrella. So you have a basic idea of what DevOps is but are you able to explain it to another newbie like yourself? Join Lisa Jung, a senior developer advocate at Grafana, to learn about DevOps in the simplest terms possible. Subscribe to the Grafana for Beginners series to delve deeper into concepts like observability, DevOps, and how Grafana can be used to observe your system as a part of your DevOps Practice!

Set and scale service level objectives in Grafana Cloud: Introducing Grafana SLO

When we began offering Grafana Cloud Metrics, we set a service level agreement (SLA) for 99.5% of requests to be completed within a few seconds. So we built an alert that would go off if more than 0.5% of requests were slower than a couple of seconds within a five-minute moving window. Sounds reasonable, right?

How Asserts.ai will make it even easier for Grafana Cloud users to understand their observability data

At Grafana Labs, our mission has always been to help our users and customers understand the behavior of their applications and services. Over the past two years, the biggest needs we’ve heard from our customers have been to make it easier to understand their observability data, to extend observability into the application layer, and to get deeper, contextualized analytics.

Announcing Application Observability in Grafana Cloud, with native support for OpenTelemetry and Prometheus

The Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics) offers the freedom and flexibility for monitoring application performance. But we’ve also heard from many of our users and customers that you need a solution that makes it easier and faster to get started with application monitoring.