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Stripe Rearchitects Its Observability Platform with Managed Prometheus and Grafana on AWS
Stripe replaced its observability platform, which used a third-party vendor solution, with a new architecture utilizing managed services on AWS. The company made the move due to scalability limits, reliability issues, and increasing costs while transitioning to microservices. The migration involved dual-writing metrics, translating assets, validation, and user training.
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Grafana K6 Releases: Enhancements in TypeScript, ECMAScript, Browser Testing, and More
The Grafana k6 team releases a new version of its open-source load testing tool approximately every two months, bringing new features and improving user experience. Several recent updates have introduced key improvements, notably related to TypeScript support, ECMAScript compatibility, and enhancements to browser testing, gRPC, memory management, cryptography, and test result storage.
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Grafana v10.3: Visualizations, Alerting, Management and Log Analysis Improvements
Grafana 10.3 introduces a range of enhancements spanning visualization, instance management, alerting, and log analysis. These upgrades include improved tooltips and zoom functionality for data navigation, alongside features for tracking metric changes and visualizing system health. Additionally, improvements in alerting and log analysis are also available.
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AWS Improves Kubernetes Monitoring with New Enhanced Observability for Amazon EKS
AWS has released several monitoring and observability-themed improvements. The releases include Amazon CloudWatch Container Insights with Enhanced Observability for Amazon EKS on EC2 a fully managed service that provides visibility into containerized workloads. Other releases include a new Amazon Managed Service for Prometheus collector and Amazon Managed Grafana community plugins.
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Grafana Cloud Kubernetes Monitoring with Machine Learning Predictions
Managing cloud costs can be challenging as Kubernetes fleets scale. To address this issue, Grafana Cloud has introduced a cost-monitoring feature within Kubernetes Monitoring. In particular, Grafana Cloud’s Kubernetes Monitoring now offers ML predictions for CPU and memory usage.
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Contentsquare Uses Microservices and Apache Kafka for Notification Delivery
Contentsquare needed notification functionality for many use cases within its platform. The company created a generic solution spanning multiple services as part of its microservice architecture. During the implementation, the developers had to improve observability and overcome some scalability challenges.
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Grafana Beyla Provides Auto-Instrumented Observability through eBPF
Grafana has released Grafana Beyla, an open-source eBPF auto-instrumentation tool for application observability. Beyla is able to report span information and RED metrics (Rate-Errors-Duration) for both Linux HTTP/S and gRPC services. This is accomplished without having to make code modifications for inserting probes.
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Slack Leverages Bespoke Tracing Architecture for Message Notifications
Slack leveraged its bespoke tracing architecture to help with investigating notification-delivery issues. Tracing helped resolve notification issues 30% faster and reduced escalations to the development team. It also simplified the analytics pipeline and unlocked new use cases for the data science team.
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Grafana Adds Service Accounts and Improves Debugging Experience
Grafana Labs has released version 9.5 of Grafana including improvements to Grafana Alerting, service accounts, and improvements to the dashboards. Support bundles were also released providing a simpler way to gather and share debugging information about the Grafana stack. AWS has announced support for Grafana 9.4 within their Amazon Managed Grafana service.
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Grafana Tempo Introduces New Query Language and Support for Apache Parquet
Grafana has released Grafana Tempo 2.0 which introduces the new TraceQL query language and support for the Apache Parquet format. Grafana Tempo is an open-source tracing backend that works with object storage. The new TraceQL query language works with the Apache Parquet format to provide improved search times and queries aligned to traces.
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Grafana Adds Outlier Detection to Its Machine Learning Toolkit
Grafana has released outlier detection as part of their Grafana Machine Learning toolkit. Outlier detection can be used to monitor a group of similar things and be alerted when some of them start to behave differently than the norm.
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Grafana Releases New Frontend Observability SDK and Backend Profiling Database
Grafana has announced two new additions to its suite of observability and monitoring tooling. Grafana Faro is an open-source web SDK for real user monitoring (RUM) of browser frontend applications. Grafana Phlare is an open-source backend database for storing and querying profiling data. A new flame graph panel is available to facilitate visualizing and interpreting the collected profile data.
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Grafana Labs Announces Trace Query Language TraceQL
Part of the upcoming Grafana Tempo 2.0, TraceQL is a query language aiming to make it simple to interactively search and extract traces. This will speed up the process of diagnosing and responding to root causes, says Grafana.
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How We Can Use Data to Improve System Quality
To understand how systems are being used, we can collect metrics and identify trends over time. The data and insights gained can be used to improve system quality by improving software design or testing patterns.
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Azure Managed Grafana Now Generally Available
Microsoft recently announced the general availability (GA) of Azure Managed Grafana, a managed service that enables customers to run Grafana natively within the Azure cloud platform. With the managed service, they can connect to existing Azure Services to enhance observability and cloud management.