IT, DevOps, and security teams are figuring out the best ways to manage their complex, ever-growing, ever-changing environments. And one contributing factor to all the complexity is the rise of using multiple cloud services. One cloud service to manage is difficult enough, but adding more to the mix — each with its own interface and set of tools — makes everyone’s job significantly more difficult.

A reference architecture is a lovely document, but they rarely help engineers and architects implement their tools effectively. Most reference architectures offer plenty of suggestions and ideas, but not enough context. We will explore ways to make reference architectures more useful while reducing reliance on the vague and dreaded “It Depends. Cribl has just released its first official reference architecture.

Gaming apps are complex systems. They combine multi-function systems, like the game engine, to other resources such as server containers, proxies and CDNs in order to give users a real-time interactive experience. At the same time, managing cross-functional behavior also means that games could generate massive amounts of data, commonly known as logs. You’ll want to turn that data into useful information to help improve game performance.

Classless Inter-Domain Routing (CIDR) is the dominant IP addressing scheme in the modern web. By enabling network engineers to create subnets that encapsulate a set range of IP addresses, CIDR facilitates the flexible and efficient allocation of IPs in virtual private clouds (VPCs) and other networks.

Coralogix supports logs, metrics, traces and security data, but some organizations need a multi-vendor strategy to achieve their observability goals, whether it’s developer adoption, or vendor lock-in is preventing them from migrating all of their data. Coralogix offers a set of features that allow customers to bring all of their data into a single flow—across SaaS and hosted solutions.

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.

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?

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.

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!