Operations | Monitoring | ITSM | DevOps | Cloud

I began working with database customers back in the day with VividCortex until it was purchased by SolarWinds. Since then, I’ve had the opportunity to work with tons of our database solution customers as an account manager and now lead our DPM renewals initiative. In these roles, I’ve helped our customers transition from VividCortex to Database Performance Monitor (DPM) and now migrate into Database Observability.

Before I stumbled into the tech industry (a story for another day), I spent several years in the customer service world as a server and front-of-house manager in restaurants. It was in these jobs that I first honed some critical skills that would later lead me on the path to incident response.

Cloud-based services have changed how individuals and businesses get things done. That doesn’t mean it’s all positive — there are some tradeoffs and compromises that come with cloud services and the internet. One major tradeoff is speed. For instance, if your website fails to load within three seconds, 40% of your visitors will abandon your site. That’s a serious dent for anyone doing business online. The culprit here is latency.

Continuing from my previous blog on the series, What you can’t do with Kubernetes network policies (unless you use Calico), this post will be focusing on use case number five — Default policies which are applied to all namespaces or pods.

Tech companies face a daunting challenge: a staggering 90% of their IT teams are stuck doing mundane, repetitive tasks, leaving only 10% to focus on strategic innovation. Companies know that automation is the solution to these repetitive, low-level incident response actions; however, many need support to begin automating.

IT incident management aims to swiftly identify, address, and resolve IT disruptions to restore normal service operations. Tracking IT incident management key performance indicators (KPIs) is a vital step toward minimizing disruptions for customers and users. But there are several different KPI and metrics choices, and it’s not easy to identify the right ones that can drive meaningful improvements in incident management.

We are pleased to announce that several Broadcom software products are now available on the Google Cloud Marketplace, providing Google Cloud customers with market leading value stream management and network performance monitoring capabilities via a simplified procurement process and consolidated billing with their Google Cloud account.

Ubuntu’s long standing reputation for performance is rooted in our commitment to delivering the latest code, kernels and compilers. This commitment ensures that developers have access to the fastest and most secure environment for their applications. Today Canonical is raising the bar for performance and observability in all of our products.

Azure App Service rightsizing refers to adjusting the computing size allocated to an Azure App Service plan to achieve an optimal balance between cost and performance. It involves analyzing the resource utilization and selecting an appropriate computing power to meet your performance requirements while minimizing costs. Optimizing App service plan sizes is crucial for cost efficiency and performance enhancement.

In today's dynamic cloud computing environment, effective monitoring of cloud services is essential. Developed in partnership with Google Cloud, Google Test Suite offers easy-to-deploy test templates to monitor your Google Cloud Platform (GCP) services.