Operations | Monitoring | ITSM | DevOps | Cloud

Unleashing the Potential: Exploring the Impact of Artificial Intelligence (AI) in Education

Discover the transformative role of artificial intelligence (AI) in education, revolutionizing the learning experience for both students and educators. Explore how AI enhances access to information, provides personalized feedback, and empowers learners through smart learning apps.

Ivanti vs. ServiceNow vs. Infraon in 2023

IT Service Management (ITSM) and IT Operations Management (ITOM) are critical components of managing an organization’s IT infrastructure. While they serve distinct purposes, they are inherently interconnected and provide significant benefits when implemented together. By embracing the integration of these disciplines, organizations can achieve improved IT service quality, operational efficiency, and customer satisfaction.

Celebrating Grafana 10: Torkel's top 10 moments from a decade of dashboarding

Grafana creator Torkel Ödegaard will never forget the very first GrafanaCON in 2015, when he shared some big news with the audience gathered in New York City. “I’ll always remember standing on stage and announcing that we just reached 12,000 instances and being super proud because it was just a couple of months after we started tracking these numbers,” says Torkel, who also launched Grafana Labs with co-founders Raj Dutt and Anthony Woods in 2014.

FWaaS (Firewall as a Service): How to Monitor Your Traffic Through Cloud

Cybersecurity remains a key concern for any organization. The cost of cybercrime is expected to rise to $8 trillion in 2023 and reach $10.5 trillion by 2025. Various cybersecurity solutions are available, with Firewall as a Service (FWaaS) emerging as one of the most valuable assets when it comes to protecting your interests. We will investigate FWaaS solutions, how they work, how they're different from traditional firewalls, and what benefits they can provide for a range of organizations.

Improving LLMs in Production With Observability

Quickly: if you’re interested in observability for LLMs, we’d love to talk to you! And now for our regularly scheduled content: In early May, we released the first version of our new natural language querying interface, Query Assistant. We also talked a lot about the hard stuff we encountered when building and releasing this feature to all Honeycomb customers. But what we didn’t talk about was how we know how our use of an LLM is doing in production!

Querying and Writing to InfluxDB Cloud and the Status of Client Libraries

InfluxDB 3.0 is a versatile time series database built on top of the Apache ecosystem. The 3.0 product suite includes two cloud-based versions: InfluxDB Cloud Serverless, and InfluxDB Cloud Dedicated. For the purposes of this post, InfluxDB Cloud refers to these specific versions of InfluxDB. This post provides an update on the status of the client libraries for InfluxDB Cloud, as well as all the available resources to get started querying and writing data to InfluxDB.

What Is A Time-Series Metric?

Today, businesses and organizations rely heavily on metrics and analytics to make informed decisions. Metrics are important whether you’re a developer, a marketer, or the head of a company. One type of metric that is widely used is a time-series metric. Time-series metrics provide insights into how data changes over time. With time-series data, businesses can track trends, detect anomalies, and make predictions.

CFEngine 3.22 released - Coordination

Today, we are pleased to announce the release of CFEngine 3.22.0! The focus of this new version has been coordination. This is a non-LTS (non-supported) release, where we introduce new features for users to test and give feedback on, allowing us to polish before the next LTS.(CFEngine 3.24 LTS is scheduled to release summer 2024).