How AIOps Reveals Deep Value from Log Analysis
The volume and ambiguity of log files makes them impossible for humans to process. The promise of logs is revealed when AIOps is applied to analyze their deep structure.
The volume and ambiguity of log files makes them impossible for humans to process. The promise of logs is revealed when AIOps is applied to analyze their deep structure.
In the world of IT operations and infrastructure management, the year 2019 was full of jaw-dropping deals in the startup community and notable strategy shifts among the major cloud and tech players. Suffice to say that CIOs and VPs of infrastructure are faced with the ongoing challenge of delivering business value and agility amid heightened IT complexity.
Would you like to detect problems in your Amazon Redshift environments? Does your team need a high-level overview of what monitoring options they can choose from when they deploy Redshift nodes and clusters? First, we’ll start with one of the most important components of any monitoring strategy: performance and availability monitoring. Then, we’ll continue with monitoring Redshift configuration changes and how to meet compliance requirements with Redshift.
Software of all kinds requires information to do its work. At the back end of most programs you’ll usually find some form of database, which has been created or selected and configured to run specifically with that application. In creating that database or making a selection from the wide range of products available, there are several factors to consider. We’ll be looking at these criteria, in this article.
Rapid software release is the new norm – and that has pushed many companies to ditch their monolithic software development approach in favor of SOA. More companies are embracing microservices – an SOA-style approach for developing and deploying business logic as small, independently deployed services – for a number of reasons: it reduces risk, is faster to deploy and it easily scales.
What a year for CHAOSSEARCH. Last April we announced our new cutting edge platform that reimagined how analytics is delivered at scale. A big data platform, we inverted how analytics should be consumed. A solution without the proverbial issues of time, cost and complexity forever associated with big data.
We’ve been working on integrating call tracing in the server to provide exact measurements of all API and DB calls. We’ve picked OpenTracing—a lovely open source project that allows you to set up trace reporting and enables you to support Distributed tracing.