We are happy to announce the official launch of the Logz.io Community — a space for like-minded professionals dealing with the same challenges involved in developing, monitoring and troubleshooting business-critical apps and services.
Logtrail is a popular Kibana plugin that makes Kibana look like Papertrail. Sematext’s Logtrail view in Kibana gives you the terminal-like experience of exploring logs without the pain of needing to ssh into machines. With Logtrail you can see new logs appearing at the bottom of the screen instead of the top screen, you can filter logs like with grep, and “jump” to different parts of the log stream like when using less.
XpoLog 7 brings your data into a new age of log analysis and management. While the industry is focused on developing advanced search abilities and simplifying log analysis, nobody has been able to resolve the persistent issues of the long, complex and tedious deployments. Up until today! XpoLog 7 is proud to offer full automation of the entire log management lifecycle!
This week’s big news is that Grafana v5.2.2 was released and includes fixes for Prometheus graphs, dashboard links, loading external plugins, SQL connection leaks, and more. Also, check out our new Grafana Flux plugin and monitor temperature and forecasts using Grafana and the openweathermap API.
Flux, the long-awaited new functional query processing engine for InfluxDB, has finally landed. If you’re curious to learn more about the hows and whys of its design, check out this GrafanaCon EU session with InfluxData Cofounder and CTO Paul Dix. Also we’d like to share a recent presentation from David Kaltschmidt, Director, UX for Grafana Labs on the new Flux support in Grafana!
When we released derived columns last year, we already knew they were a powerful way to manipulate and explore data in Honeycomb, but we didn’t realize just how many different ways folks could use them. We use them all the time to improve our perspective when looking at data as we use Honeycomb internally, so we decided to share. So, in this series, Honeycombers share their favorite derived column use cases and explain how to achieve them.
Outages and postmortems are a fact of life for any software engineer responsible for managing a complex system. And it can be safely said that those two words – “outage” and “postmortem,” do not carry any positive connotations in the remotest sense of the word.
Today, Sumo Logic is proud to announce that we have released 11 brand new Google Cloud Platform (GCP) applications to the existing Sumo Logic App Catalog.
Organic keyword data, which was till now the essential around which SEO experts and digital agencies revolved, suddenly became “not provided” since 2011. Unless you were prepared to face the hardships, you had to wonder if there was an easier way out. KeywordHero assures to clear up the ‘not provided’ information that you see in your Google Analytics for any website. So, does it work as promised?
This week we’re showing off 2 more brand-new plugins, plus a case study showing how PingCAP troubleshoots more than a thousand metrics from their TiDB clusters. Also, Tweet of the Week returns with a graph celebrating France’s World Cup victory. Enjoy!
Boston and Tel Aviv–July 19, 2018–Logz.io, the leading provider of AI-powered log analysis, announces the release of its intelligent log analysis platform on Amazon Web Services (AWS) Marketplace. The Logz.io platform is the first and only ELK solution offered on the AWS Marketplace, giving AWS customers worldwide access to powerful capabilities for extracting actionable insights from machine data.
Today we are releasing Graylog v2.4.6 to fix a few bugs.
Now Java developers can leverage Honeycomb to gain insight into the behavior of their apps and services by using an SDK similar to the ones we’ve already released for Go, Python, Javascript and Ruby.
It’s good to be back from our short holiday break. This week we have articles on the world’s fastest internet (with a shout out to Prometheus and Grafana), visualizing real-time and historic weather data, making teams more autonomous, and Grafana + Prometheus + Postgres + TimescaleDB.
In this guest blog post from the folks at Ballerina, Anjana shows you how you can easily visualize metrics from a Ballerina service with Grafana, walking you step by step through the installation and configuration of the components. They’ve also extended an offer for a free ticket to their upcoming Ballerinacon to the Grafana community.
Traditional logging solutions require teams to provision and pay for a daily volume of logs, which quickly becomes cost-prohibitive without some form of server-side or agent-level filtering. But filtering your logs before sending them inevitably leads to gaps in coverage, and often filters out valuable data.
In our previous article (How to Scale and Manage Millions of Metrics), we looked at correlations in terms of name similarity, but there are other types of similarities that occur between metrics.
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 in again, between your analytics tool and your tracing tool, often losing context in the process.
Elasticsearch 6.3 included some major new features, including rollups and Java 10 support, but one of the most intriguing additions in this version is SQL support.
Juraj Kosik, an Infrastructure Security Technical Lead at Deutsche Telekom Pan-Net, has written a detailed case study of how his organization implemented Graylog to centralize log data from multiple data centers exceeding 1 TB/day. His case study provides thorough insights into real-world issues you might run into when implementing and operating a log management platform in a large-scale cloud environment.
The amount of data being generated today is unprecedented. In fact, more data has been created in the last 2 years, than in the entire history of the human race. With such volume, it’s crucial for companies to be able to harness their data in order to further their business goals. A big part of this is analyzing data and seeing trends, and this is where solutions such as Graphite and Grafana become critical.
When we released derived columns last year, we already knew they were a powerful way to manipulate and explore data in Honeycomb, but we didn’t realize just how many different ways folks could use them. We use them all the time to improve our perspective when looking at data as we use Honeycomb internally, so we decided to share. So, in this series, Honeycombers share their favorite derived column use cases and explain how to achieve them.
What’s surprising to see today is how business operations struggle to get an integrated view of all business metrics. With greater volumes of data being collected, data analysts just can’t keep up with the pace. This state of affairs alone doesn’t hit as hard as the fact that many in data analytics have just come to accept this situation as a norm and simply bear with this daily struggle.
At GrafanaCon EU, we gathered representatives of the Graphite, Prometheus, InfluxDB, and Timescale projects in the hopes of starting a spirited conversation about the current state of Time Series Databases. They didn’t disappoint! Here are a few highlights from the TSDB panel featuring Erik Nordstrom from Timescale, Dan Cech from Graphite, Paul Dix from InfluxDB, and Tom Wilkie from Prometheus, and moderated by Grafana Labs co-founder and CEO Raj Dutt.
We’ve been on a roll this year with Beelines, our integrations for quick, easy, and automagic instrumentation of your apps. You may have already seen our Node.js, Ruby, and Go beelines – today, we’re excited to announce the release of the Honeycomb Beeline for Python!
