Coralogix

San Francisco, CA, USA
2014
  |  By Chris Cooney
tldr: This post discusses how to measure CDN request locality without indexing a single log. The function of a CDN is to bring cacheable data, like pictures & videos, physically closer to your customers. This reduces latencies, and load on your backend servers. When measuring CDNs, there are some very common metrics.
  |  By Markus Appel
Working at Coralogix, a leading full-stack observability platform, I recently faced an interesting challenge. The team I am part of is building the DataPrime query language and query engine, used to easily query logs and other observability data on the platform, usually in the form of Parquet files on AWS S3. Inside the engine, our DataPrime queries are transformed into query plans with SQL-like expressions, for example in filters.
  |  By Chris Cooney
Network infrastructure is the hidden glue between servers. In AWS, it takes skill, knowledge and experience to build a network that can be monitored, will perform and is secure. A key source of information to determine the health of a network is the logs, but network logs suffer from a serious problem. They’re noisy, and they’re often difficult to parse, but by leveraging indexless observability, Coralogix customers can drive insights from data that would previously have been untouchable.
  |  By Chris Cooney
AWS MediaTailor provides a wealth of information via metrics, but one key feature that is very difficult to track is the Transcoding performance. What is transcoding and why is performance important?
  |  By Emma Lampert
Becoming an expert in any query language can take years of dedicated study and practice. At Coralogix, however, we believe observability should be accessible to everyone. That’s why we’re thrilled to announce the launch of our latest innovation (and your new sidekick): the AI Query Assistant. The AI Query Assistant revolutionizes the way you interact with your data.
  |  By Andre Scott
Datadog’s pricing model is multifaceted, covering several key areas of observability. This analysis breaks down the pricing structure to help you understand potential costs for your organization. In this article we cover.
  |  By Zev Schonberg
Metrics are key to monitoring system health and performance but you probably are ingesting far more metrics than you will ever need or use. The issue is that popular tools in this space, such as OpenTelemetry and Prometheus, leverage node exporters to emit a plethora of metrics. OpenTelemetry tracks even the minutest details of system performance. Prometheus exporters can generate a vast array of metrics, ranging from CPU usage to disk I/O, and everything in between.
  |  By Chris Cooney
Every day, employees and leaders of enterprise IT organizations make multiple decisions that affect their company’s success or failure. To stay ahead of the competition and drive innovation, an increasing number of organizations are turning to decision intelligence (DI), a relatively new field combining data science, decision theory and artificial intelligence, to augment and improve decision-making.
  |  By Emma Lampert
Human attention spans are seemingly shorter than ever, and your mobile application users are, unfortunately, no exception. Over 70% of users abandon an app if it’s taking too long, with half of these users waiting no more than three seconds. Even minor delays or errors can lead to significant user drop-off, negatively impacting your app’s success and user satisfaction.
  |  By Zev Schonberg
Observability costs are exploding as businesses strive to deliver maximum customer satisfaction with high performance and 24/7 availability. Global annual spending on observability in 2024 is well over 2.4 billion USD and is expected to reach 4.1 billion USD by 2028. On an individual company basis, this is reflected by observability costs ranging from 10-30% of overall infrastructure spend. These costs will undoubtedly rise with digital environments expanding and becoming ever more complex.
  |  By Coralogix
Coralogix supports multi-tenancy, allowing multiple teams to be connected under a single organization. Some companies prefer separate teams to isolate data based on the environment it originates from like: Dev, QA, or Production. While others prefer to isolate the data based on organizational units like: Infrastructure, Security, and Application. Coralogix allows you to associate multiple teams with an Organization.
  |  By Coralogix
Coralogix TCO Optimizer allows you to assign different logging pipelines for each application and subsystem pair and log severity. In this way, it allows you to define the data pipeline for your logs based on the importance of that data to your business.
  |  By Coralogix
Let's explore the rich and powerful world of Custom Dashboards in Coralogix, with explanations of every widget, powerful functionality, flexible variables and much more. This video will leave no stone unturned!
  |  By Coralogix
Explore the Archive Query mode in Coralogix Custom Dashboards, to visualize data that has long since left your archive, without paying for enormous indexing costs. Hold the data in your cloud account, and query, transform and enhance, with a single button press.
  |  By Coralogix
Defining Alerts and Metrics in Coralogix is the easiest thing in the world. In this video, we'll explore three different alerts and metrics that can be generated, without writing a line of code.
  |  By Coralogix
DataPrime is much more than a simply querying language. It's a data discovery language, allowing for powerful aggregations and insight generation, right in the Coralogix UI.
  |  By Coralogix
The Coralogix Remote Archive solution is incredibly powerful, but there are techniques to maximise the value you get out of the Coralogix platform.
  |  By Coralogix
In this video, we'll explore the functionality and best practices with Coralogix Remote Query for Logs. Coralogix supports direct, unindexed queries to the archive for both logs and traces, and stores data in cloud object storage directly in the customers cloud account, making for rock bottom retention costs, blazing fast performance and outstanding scalability.
  |  By Coralogix
Coralogix Remote Query for Logs is incredibly powerful, enabling direct queries of archive data without the need to index. To get the most out of this feature, here are some simple tricks and techniques that you can use to make your queries even faster.
  |  By Coralogix
There are numerous types of logs in AWS, and the more applications and services you run in AWS, the more complex your logging needs are bound to be. Learn how to manage AWS log data that originates from various sources across every layer of the application stack, is varied in format, frequency, and importance.

Coralogix helps software companies avoid getting lost in their log data by automatically figuring out their production problems:

  • Know when your flows break: Coralogix maps your software flows, automatically detects production problems and delivers pinpoint insights.
  • Make your Big Data small: Coralogix’s Loggregation automatically clusters your log data back into its original patterns so you can view hours of data in seconds.
  • All your information at a glance: Use Coralogix or our hosted Kibana to query your data, view your live log stream, and define your dashboard widgets for maximum control over your data.

Our machine learning powered platform turns your cluttered log data into a meaningful set of templates and flows. View patterns and trends, and gain valuable insights to stay one step ahead at all times!