The latest News and Information on Log Management, Log Analytics and related technologies.
Coralogix offers the most extensive alerting mechanism in the logging market, including built-in webhooks for PagerDuty, custom webhooks, and automatic resolve notifications. PagerDuty is a leader in digital operations management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time.
Applying an observability strategy to core telecommunication data processing enables operators to answer questions that were not possible to answer before. As this approach has gained prominence, the Elastic Stack has become increasingly popular in the telecommunications space, with companies like Deutsche Telekom — their data transformation effort championed by Hans-Konrad Roth — adopting Elastic as their solution of choice for international traffic monitoring.
AIOps is a term Gartner invented to describe a general trend of applying AI techniques to IT Operations data sources to provide additional insights and scale to the teams operating today’s complex software system. AIOps is essentially a feature or set of features to analyze, combine, and collect data. Unfortunately, the lack of AI in these solutions often turns many people off, but this promise is still possible.
When viewing and analysing data with Elasticsearch, it is not uncommon to see visualizations and monitoring and alerting solutions that make use of timestamps that have been generated on remote/monitored systems. However, using remote-generated timestamps may be risky.
At first glance, microservices logging may seem simple. You just take the same principles you’ve always followed for monoliths and apply them to each microservice in your application, right? Well, no. The differences between microservices and monolithic architecture amount to much more than a difference in the number of services involved.
Logstash can parse CSV and JSON files easily, but that’s because data in those formats are perfectly organized and ready for Elasticsearch analysis. Sometimes, though, we need to work with unstructured data, like plain-text logs for example. In these cases, we’ll need to parse the data to make it structured data using Logstash Grok. This tutorial will enable you to take full advantage of Elasticsearch’s analysis and querying capabilities by parsing with Logstash Grok.
Serverless computing has taken off in recent years with more efficient cloud services. AWS Lambda is a great example of this, where provisioning and management of resources happens from the service’s end. You only have to deal with the code. This article will give a brief overview of AWS Lambda in contrast to EC2 instances, then walk through shipping AWS Lambda metrics to Logz.io.
