Operations | Monitoring | ITSM | DevOps | Cloud

NEW FEATURE: Rainbow Deployments with Zero Downtime! (Jan 24 2024)

In this video, Jake Warner (CEO / Founder) does a quick dive into one of our latest features: Rainbow Deployments. These deployments enable teams to maintain multiple independent versions of their applications within one single environment. Additionally, deployments make it easy to take new versions of your applications live with zero downtime. Cycle is a container orchestration and infrastructure management platform built to provide a true alternative to Kubernetes.

Grafana Beyla 1.2 release: eBPF auto-instrumentation with full Kubernetes support

We’re excited to announce that with the release of Grafana Beyla 1.2, Kubernetes support is now fully integrated. With this update, the Grafana Beyla configuration now “understands” Kubernetes semantics to provide a more fine-grained selection of services to instrument. Beyla users can decorate metrics and traces with the metadata of Kubernetes entities, such as pods and deployments, that run the automatically instrumented services.

Streamline Azure container monitoring with the Datadog AKS cluster extension

Azure Kubernetes Service (AKS) enables you to easily deploy and manage containerized applications in Azure while leveraging Microsoft resources such as development tools, security features, and more. As with any Kubernetes service, the sheer volume of containers being orchestrated makes monitoring AKS cluster health challenging, which can slow response times to critical incidents and create bottlenecks around long-term optimizations.

Understanding RBVM & Application Security Orchestration & Correlation

The video introduces Risk-based Vulnerability Management (RBVM) and Application Security Orchestration and Correlation (ASOC), tools that integrate third-party data into a SaaS platform for threat analysis and risk scoring. It highlights recent improvements, new export capabilities, UX updates, and custom attributes for data uploads. It also explores the vulnerability response feature, which integrates RBVM and ASOC with ITSM for automatic ticket creation and security incident syncing, and the RBVM and patch integration for CVE analysis and patch management.#Risk-based Vulnerability Management, #Application Security Orchestration and Correlation, #ITSM integration, #patch management, #CVE analysis.

How to combine Playwright locators to test non-deterministic application flows

Sometimes, applications can behave differently even though your users do the same things. How can you test these non-deterministic flows? Learn in this video how Playwright's "locator.or()" method helps to write tests that can handle different application flows.

When to Automate Recurring Events

“Is it worth it?” is probably the most common question customers ask business architects and value advisors. Whether it’s a software deployment or process improvement, customers want to be assured that the effort and risk of a project delivers real value. That is the question people in my line of work spend their days trying to answer. In many cases, the answer is complicated and requires a great deal of experience to explain.

Monitor Heroku Add-Ons Using Hosted Graphite

Monitoring your Heroku stack helps you understand the performance of your application and infrastructure. You can identify bottlenecks, slow-performing queries, or resource-intensive processes and optimize them. Monitoring also allows you to detect issues or anomalies in real-time. By setting up alerts based on predefined thresholds, you can be notified as soon as something goes wrong, enabling you to address the issue before it affects users.

Pay-As-You-Go with Pepperdata Real-Time Cost Optimization

Gartner, Inc. estimates that worldwide spending on public cloud services is forecast to grow 20.4% to total $678.8 billion in 2024. With many organizations incorporating FinOps practices to govern how they spend their money in the cloud, Real-Time Cost Optimization is essential to saving money. In particular, as the market for Generative AI workloads continues to explode, organizations will need to consider a range of cost-savings models to extract optimal efficiency.