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Logging

The latest News and Information on Log Management, Log Analytics and related technologies.

A fresh perspective: Rethinking TCO and expanding visibility to fuel growth

Over the past nine years, Freshworks has experienced record growth using Sumo Logic to ensure a reliable experience for its SaaS customers. Through continuous optimizations, the SRE team has improved their Total Cost of Ownership (TCO) and gained better visibility and insights into the logging patterns of their applications. Developers investigate issues more quickly using features like Live Tail, Anomaly Detection and Time Comparison, maximizing service reliability. Learn how Freshworks is doubling down on Sumo Logic to achieve full-stack visibility.

How to be a top online retailer in 2023? Start with a top ecommerce search engine

Search is the key to improving the customer experience–and business outcomes Retailers that weathered the global pandemic now face new challenges: emerging shopping patterns, competitive upstarts, and economic uncertainty.

Contextual Autocomplete: Why Coralogix is Focused on Developer Productivity

In the observability toolchain, all of our efforts go into data storage and analysis, and the usability of our system becomes a second-class citizen. Autocomplete is a crucial usability feature that significantly improves the developer experience. It is ubiquitous amongst engineering tools from IDEs to CLIs. Autocomplete has long been a feature of many observability tools, but they all miss a crucial detail – optimizing for developer productivity.

Product Spotlight: Logz.io Service Performance Monitoring

We believe that one of the most powerful capabilities added to the Logz.io Observability Platform in recent months is our new Service Performance Monitoring (SPM) feature set. As you may have seen earlier this year, Logz.io was named a Visionary in the 2022 Gartner® Magic Quadrant(™) for Application Performance Monitoring and Observability. To that end, SPM is a cornerstone for our related solutions.

How To: Connecting Azure Blob to Cribl Stream to Replay Observability Data

One of the core features of Cribl Stream is our Replay capability. We pride ourselves on giving customers choice and control over their data. The ability to archive data in cheap object storage, and then providing the ability to reach into the same object storage is one example of this. It’s safe to say that S3 and AWS have become synonymous with the term object storage. It’s like a modern day Kleenex, or Band-Aid.

How to easily configure Grafana Loki and Promtail to receive logs from Heroku

Heroku is a cloud provider well known for its simplicity and its support out of the box for multiple programming languages. When thinking about consuming logs from applications hosted in Heroku, Grafana Loki is a great choice. But in the past, shipping logs from Heroku to any Loki instance required ad-hoc scripts to fiddle with Heroku’s logs format and send them. This can be a time-consuming experience.

Masking and Truncating Fields in Cribl Stream

In Cribl Stream and Cribl Edge, you can operate on your observability event data in flight, all the way down to the field level. Instead of writing complex regex to wrangle JSON and other structured formats, use Cribl’s built-in functions and extensibility to get the results you want. You’ll see formerly complex situations become easier to address and manage over the long term. In this blog, we’ll cover two troublesome use cases.