The latest News and Information on Log Management, Log Analytics and related technologies.
Do you know what version of your software is running in production? How often is that software deployed, and was it deployed right before last week’s p0 incident? What sort of dependencies are being deployed along with that software, and are any of them potential security risks? These are all common observability questions that may be difficult to answer.
Late last year we announced an early access program for Grafana Cloud Logs Export, a feature that allows users to easily export logs from Grafana Cloud to their own cloud-based object storage for long-term archival purposes. We are pleased to announce that the feature is now in public preview for all Grafana Cloud users, including those on the Free tier!
Picture a simple E-commerce platform with the following components, each generating logs and metrics. Imagine now the on-call Engineer responsible for this platform, feet up on a Sunday morning watching The Lord of The Rings with a coffee, when suddenly the on-call phone starts to ring! Oh no! It’s a customer phoning, and they report that sometimes, maybe a tenth of the time, the web front end is returning a generic error as they try to complete a workflow.
Data explosion is prevalent and impossible to ignore in today’s business landscape, with organizations face a pressing challenge: the ever-increasing volume of log data. As applications, systems, and services generate a torrent of log entries, it becomes crucial to find a way to navigate this sea of information and extract meaningful value from it. How can you turn the overwhelming volume of log data into actionable insights that drive business growth and operational excellence?
As one of the most innovative, in-demand roles on the market, data scientists are responsible for harnessing the power of data to make valuable predictions and decisions. This blog post takes an in-depth look at what a data scientist does, from mining structured and unstructured data and extracting useful information to using advanced algorithms and technologies like machine learning and artificial intelligence (AI) for decision-making.