In the labyrinth of IT systems, logging is a fundamental beacon guiding operational stability, troubleshooting, and security. In this quest, however, organizations often find themselves inundated with a deluge of logs. Each action, every transaction, and the minutiae of system behavior generate a trail of invaluable data—verbose, intricate, and at times, overwhelming.

As data volumes continue to grow and observability plays an ever-greater role in ensuring optimal website and application performance, responsibility for end-user experience is shifting left. This can create a messy situation with hundreds of R&D members from back-end engineers, front-end teams as well as DevOps and SREs, all shipping data and creating their own dashboards and alerts.

How much of the data you collect is actually getting analyzed? Most organizations are focused on trying not to drown in the seas of data generated daily. A small subset gets analyzed, but the rest usually gets dumped into a bucket or blob storage. “Oh, we’ll get back to it,” thinks every well-intentioned analyst as they watch data streams get sent away, never to be seen again.

Got cybersecurity problems? Well, the good news is the same as the bad news — you’re not alone. The world of security has a big data problem and an even bigger people problem. Enterprise connectivity has drastically increased in the last decade, meaning every employee, contractor, and vendor has some level of access to corporate networks. To support this growth, companies monitor exponentially increasing infrastructure and traffic, producing a steadily rising volume of data.

When troubleshooting distributed applications, you can use Cloud Trace and Cloud Logging together to perform root cause analysis.

A career in platform engineering means becoming part of a product team focused on delivering software, tools, and services.

In this livestream, Ahmed Kira and I provided more details about the Cribl Stream Reference Architecture, which is designed to help observability admins achieve faster and more valuable stream deployment. We explained the guidelines for deploying the comprehensive reference architecture to meet the needs of large customers with diverse, high-volume data flows. Then, we shared different use cases and discussed their pros and cons.

For retailers and ecommerce store owners, your bottom line is always affected whenever your service is down, due to today's consumers expecting their digital interactions to operate around the clock. This is particularly crucial during spikes in traffic due to sales, like Black Friday or Cyber Monday.

In today’s contemporary landscape, organizations produce more data than ever, which needs to be collected, stored, analyzed, and retained, but not necessarily in that order. Historically, most vendors’ analysis tools were also the retention point for that data. Still, while this may first appear to be the best option for performance, we have quickly seen it creates significant problems.

Observability, in modern software engineering, has evolved into a paramount concept, shedding light on the intricate inner workings of complex systems. Three essential pillars support this quest for clarity: logging, traces, and metrics. These interconnected elements collectively form the backbone of observability, enabling us to understand our software as never before. Think of a system as a bustling city.

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Chris Campbell, CIO at DeVry University.

In the ever-evolving landscape of software development and IT operations, monitoring tools play a pivotal role in ensuring the performance, reliability, and availability of your applications. Two key disciplines in this domain are observability and Application Performance Management (APM). This post will help you understand the nuances between observability and APM, exploring their unique characteristics, similarities, benefits and differences.

Digital transformation is at the core of media and entertainment organizations, it’s vital for these firms to constantly evolve to provide the best user experience to their customers. These companies must seek new and interesting content, services, and tailored offerings that enhance the audience’s experience and supply personalization. However, whilst these investments are essential to remain competitive, they’re also particularly costly.

Are you tired of sifting through data without context? Cribl Search adds valuable depth to your data, making it much easier to understand and analyze. No more squinting at cryptic logs or puzzling over unknown IP addresses! ️ Some common examples of how Cribl Search can enrich your data are adding service names or matching to threat intelligence. Another popular data enrichment is adding geographical location to events based on IP addresses.

Schools, universities and other organizations within higher education have been shifting to modernize their learning experiences. With the intake of new students each year, some of these being based remotely, these organizations are seeking to manage large-scale and highly distributed infrastructure.

Cribl’s integration catalog is ever-expanding. At Cribl, we constantly collect feedback on where to integrate next and channel it to deliver more high-impact integrations into our catalog. Whether it is Sources, Collectors, or Destinations, we constantly add new integrations to expand our reach in the IT security and observability ecosystem.

When exploring data, comparing individual data points with overall statistics for a large data set is often useful. For example, you might be interested in understanding when a performance metric rises above the historical average. Or possibly knowing when the variance of that metric increases past a certain threshold. Or maybe noting a change in the distinct number of IP addresses connecting to your public web portal.

For this week’s installment of “The concise guide to Loki,” I’d like to focus on an interesting topic in Grafana Loki’s history: ingesting out-of-order logs. Those who’ve been with the project a while may remember a time when Loki would reject any logs that were older than a log line it had already received. It was certainly a nice simplification to Loki’s internals, but it was also a big inconvenience for a lot of real world use cases.

This blog post discusses utilizing Cribl Search to pull and visualize data from the AWS API without ingesting data. This will allow you to collect, analyze, and visualize data from your AWS account in real time without ingesting the data first.

As we continue to iterate and help organizations meet their observability goals, Logz.io is thrilled to announce we’ve earned over a dozen Winter 2023 G2 Badges for our Logz.io Open 360™ essential observability platform! G2 Research is a tech marketplace where people can discover, review, and manage the software they need to reach their potential. Here are the Winter 2023 G2 Badges we’ve taken home for Application Performance Monitoring (APM) and Log Analysis.

Financial services and financial technology (FinTech) companies often depend upon complex infrastructure to handle their financial data. Security and compliance are paramount for these organizations, for gaining full visibility into the health and performance of these services to guarantee security is essential.

Cribl.Cloud has grown substantially since its launch, and our observability practice has developed in parallel. Gone are the early days of manageable logs and metrics. As we continue to grow, that problem will become even more challenging. We used Splunk internally, a well-used internal system, as our primary event management system. With Cribl Edge nodes deployed across our entire cloud fleet, we collect logs and metrics and send them to Cribl Stream for processing and routing.

Cloudwatch is a standard component for any AWS user, with tight integrations into every AWS service. While Cloudwatch initially seems like a cost-effective solution, its lack of functionality and flexibility can result in higher costs. Let’s explore Coralogix vs Cloudwatch.