Operations | Monitoring | ITSM | DevOps | Cloud

Webinar | Eliminate downtime and uncertainty with a smarter solution

Discover how the right PaaS can reduce your IT team's stress, keeping them focused and well-rested. Join us for a transformative online session where we will discuss: Why IT leaders are moving away from hosting providers that keep them in the dark. How to scale and optimize infrastructure without adding complexity. How choosing the right platform allows your IT team to stay focused, productive, and well-rested.

Three reliability best practices when using AI agents for coding

One of the biggest causes of outages and incidents is good old-fashioned human error. Despite all of our best intentions, we can still make mistakes, like forgetting to change defaults, making small typos, or leaving conflicting timeouts in the code. It’s why 27.8% of unplanned outages are caused by someone making a change to the environment. Fortunately, reliability testing can help you catch these errors before they cause outages.

How to Achieve Ethical Quality Assurance (QA) for Your Software Using Artificial Intelligence (AI)

As the use of artificial intelligence (AI) for software testing and quality assurance (QA) becomes increasingly prevalent, there are ethical considerations that must be addressed to ensure fairness, transparency, and accountability.

Lakehouse Demo

Cribl Lakehouse is the first lakehouse built for the unpredictable nature of telemetry data. Unlike traditional solutions for structured data, it eliminates schema complexity and manual transformation while delivering elastic scalability, automated, ​​cost-optimized tiered storage, and federated queries across diverse datasets. IT and security teams can effortlessly store and analyze massive volumes of evolving telemetry data in real time—without data engineering expertise—unlocking the full value of their data with a unified, management experience.

Enhancing Jenkins performance: Resource optimization for high-traffic workloads

Jenkins is the backbone of many CI/CD pipelines, automating builds, tests, and deployments at scale. However, when handling high-traffic workloads, such as during peak development hours, large-scale deployments, or parallel builds and pipelines, Jenkins can quickly become a resource hog, leading to slow builds, queue backlogs, and even system crashes. Optimizing resource usage is essential to ensure smooth, efficient, and scalable performance.

Monitor Microsoft Azure in Grafana Cloud: simplify and centralize your cloud provider observability

Organizations around the world use Microsoft Azure to power their businesses. The cloud computing platform includes hundreds of products and services organizations can use to build and manage applications, but monitoring those environments can often feel like navigating a maze of fragmented data, tools, and processes.