Operations | Monitoring | ITSM | DevOps | Cloud

The state of financial services today spotlights core banking digitization and the bigger-than-life disruption it’s causing in the industry. It makes sense that going to the bank sounds like an errand people no longer need to run. Even though 77 percent of banking consumers still use traditional banks in some capacity, 43 percent keep their funds elsewhere, and 61 percent will likely switch to a digital-only provider, Galileo Financial Technologies found.

Ever since we launched Query Assistant last June, we’ve learned a lot about working with—and improving—Large Language Models (LLMs) in production with Honeycomb. Today, we’re sharing those techniques so that you can use them to achieve better outputs from your own LLM applications. The techniques in this blog are a new Honeycomb use case. You can use them today. For free. With Honeycomb.

We're excited to announce a new integration with screen capture tool Bird Eats Bug!

Logz.io is excited to announce Service Map, a new way to visualize the data flow, dependencies, and critical performance metrics throughout your microservices architecture, which makes it easy to gather critical troubleshooting context as you investigate production issues.

As an administrator of an expanding, highly distributed infrastructure, you may be responsible for overseeing thousands of on-premise and cloud resources from multiple providers—governed under dozens of accounts by a complex nest of RBAC rules. To query all these resources for purposes such as compliance audits and access management, you may be required to write custom scripts and painstakingly sift through data across disparate tools.

PagerDuty is an IT operations management platform and cloud computing company launched in 2009. They provide a suite of tools designed to help IT and DevOps teams detect and respond to infrastructure problems, streamline workflows, and improve operational reliability. The PagerDuty platform bridges different systems and the teams that maintain them, centralizing the detection and reporting of incidents. It allows organizations to minimize downtime and resolve issues efficiently.

Many businesses and individuals now store most of their data on the cloud, and for good reason. Cloud data storage is accessible, convenient, and even more secure compared to local storage options – after all, many cloud data stored services leverage advanced cyber security and data monitoring teams.

Does this sound familiar? The incident has just been resolved and management is putting on a lot of pressure. They want to understand what happened and why. Now. They want to make sure customers and internal stakeholders get updated about what happened and how it was resolved. ASAP. But putting together all the needed information about the why, how, when, and who, can take weeks. Still, people are calling and writing. Nonstop.

In an era where digital threats are evolving rapidly, securing your Office 365 environment has never been more crucial. Office 365, a suite known for its robust productivity tools, also demands a proactive approach to security. This blog post delves into essential practices and strategies to fortify your Office 365 setup against various cyber threats.

Engineering teams rely on certain metrics to assess their ability to deliver quality products, on time. This is a useful exercise, but execution has been lacking—with metric collation often handled via spreadsheet, or stand-alone tool. Neither approach is ideal for two reasons: 1) How—or more specifically where—metrics are collected silos them away from business context.