The latest News and Information on Log Management, Log Analytics and related technologies.
Empty spaces, what are we searching for? Abandon queries, but do you know the score? On and on, Does anybody know what we are looking for? … Inspired by “The Show Must Go On”, Queen. Since we launched Cribl Search back in late 2022, we’ve been hard at work on adding features and functionality that continue to empower data engineers to do more with their data without needing to collect it first.
At Cribl, we give the people what they want. And what they want is to keep their data close to their sources and destinations. The less data has to travel, the better — lower latency and fewer security risks. This commitment to data locality is even more pronounced among our valued customers in the EMEA region, who are enthusiastically embracing cloud-first strategies.
Terry Mulligan, is a Splunk consultant with Discovered Intelligence (and Notre Dame’s biggest fan)— a data intelligence services and solutions provider that specializes in data observability and security platforms. He shares what Cribl has brought to the table for his organization and his clients, and how it’s changed their processes and the role of the Splunk data engineer.
We have been using Azure Functions for years. Being able to easily deploy and run code on both Azure App Services and real serverless has been a killer feature for all of our asynchronous jobs and services. Unfortunately, the logging approach provided as part of the default template is not ideal. In this post, I'll introduce you to the first steps we take in all of our existing and new function apps to improve logging. A quick note about the Azure Functions runtime.
Elastic Observability customers saw 243% ROI and $1.2 million in savings over 3 years For government and education organizations around the world, facilitating an efficient, reliable customer experience is essential when providing critical services and building trust with stakeholders. As technology infrastructure expands and the IT landscape becomes a complex mix of private cloud, public cloud, and air-gapped environments, the ability to see across all systems and data is challenging yet critical.
For the past few months, we’ve been working closely with the LangChain team as they made progress on launching LangServe and LangChain Templates! LangChain Templates is a set of reference architectures to build production-ready generative AI applications. You can read more about the launch here.
