On Nov. 8, I started as the new Chief Information and Security Officer at Grafana Labs. In my first five weeks, I’ve met about 100 really amazing people; learned and absorbed early lessons about our workplace culture; kicked off working groups for our 2022 initiatives (bug bounty FTW); and contributed to tackling our first-ever 0day. Amid all of that, I’ve also been doing a lot of thinking.
Monitoring is usually associated with servers and applications, but the fintech automation platform Ocrolus recently needed to set up monitoring for a different purpose: to gain meaningful data and insights about nearly 1,000 remote user workstations.
We’re thrilled to announce the addition of the Sentry data source plugin to Grafana. Grafana Labs worked in partnership with Sentry, the code observability platform, to help development teams see the issues that matter and solve them faster — across their entire tech stack — so they can remove silos and ship with confidence.
Amazon CloudWatch has recently launched Metrics Insights (Preview) — a fast, flexible, SQL-based query engine that enables you to identify trends and patterns across millions of operational metrics in real-time. With Metrics Insights, you can easily query and analyze your metrics to gain better visibility into the health and performance of your infrastructure and large scale applications.
In collaboration with the AWS team, we have recently released the new Athena data source plugin for Grafana. Athena is an interactive serverless service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena supports a wide variety of data formats including CSV, JSON, ORC, Arvo, and Parquet. Athena also integrates with AWS Glue Data Catalog, which allows you to create tables and query data based on a central metadata store of many AWS services, such as CloudFront, ELB, and more.
According to a 2020 CNCF survey, the use of containers in production has been rapidly increasing for the past several years. Nutanix, a global leader in cloud software and a pioneer in hyperconverged infrastructure solutions, is part of that trend.
Development is no longer a linear journey from point A to point B. As more projects shift into a state of organic growth, user feedback and constant experimentation are increasingly becoming the norm, if not the standard for engineering. “In order to support this rapid experimentation, we’re beginning to embrace new working methods and practices,” said Vinodh Ravi, Executive Director of Platform Engineering at JPMorgan Chase.
A new version of Loki was released back in November, and I’m here to talk about one of its most exciting features. Loki 2.4 finally removed the requirement that all data must be ingested in timestamp-ascending order. Instead, Loki now allows out of order logs up to a configurable validity window (more to come on that). In this post, I’ll walk through what all this means and why we’re thrilled about it.
Back in May, we announced the Kubernetes integration to help users easily monitor and alert on core Kubernetes cluster metrics using the Grafana Agent, our lightweight observability data collector optimized for sending metric, log, and trace data to Grafana Cloud. The integration allows Grafana Cloud users to monitor and alert on Kubernetes cluster metrics. Since the original release, we’ve added new features and enhancements to help our users go even further.
Grafana 8.3 is here! This is an exciting release for Grafana Labs. This release includes the new Candlestick panel, a new visualization suggestions engine, support for AWS Metrics Insights and, for our Grafana Enterprise users, recorded queries. Get 8.3 You can get started with Grafana in minutes with Grafana Cloud. Here’s a closer look at the important new features in 8.3.
