Operations | Monitoring | ITSM | DevOps | Cloud

Customer Service Management (Leveraging Software)

Have you considered leveraging cloud-based software solutions to improve your customer service management? Workflow automation software can elevate customer experiences by improving response times. If you’re looking for a way to streamline communication between all parties, you need a centralized hub for project implementation and delivery. 58% of American consumers are prepared to switch companies because of poor customer service.

The More You Monitor: What Are the Three Pillars of Observability?

A common way to discuss observability is to break it down into three types of telemetry: metrics, traces, and logs. These three data points are often referred to as the three pillars of observability. In this episode of The More You Monitor Product Manager, Chris Sternberg, breaks down the three pillars of observability and how they can help you gain better control and visibility of your infrastructure, applications, and networks. It’s important to remember that although these pillars are key to achieving observability, they are only the telemetry and not the end result.

FinOps Tools: Supercharge Your Investment with Optimization

Cost analysis and allocation tools like CloudHealth, CloudCheckr, and Cloudability play an important role in many organizations’ FinOps journeys by assisting with keeping Finance informed, enabling forecasting, and driving accountability. These tools may also help provide visibility and direction around long-term purchases like Savings Plans and RIs. But, slicing and dicing your cloud costs is only the tip of the FinOps iceberg: 85%+ of your cloud savings potential lies beyond refining how you buy cloud services. You also need to optimize what you’re actually purchasing.

The Confident Commit | ep. 11 Observability and CI/CD: meaningful measurement with Charity Majors

Rob sits down with Charity Majors to discuss the journey to creating Honeycomb, business building practices, and the importance of proper CI/CD and monitoring. Charity gives us the latest insights on observability and the necessities for engineering team success. What metrics are meaningful for your team to measure? Which ones are not? Tune in today to find out. Watch, learn, and leave us a comment with your thoughts, questions, or ideas for future podcast episodes.

Continuous Deployment of Deno APIs to Heroku

The first time I was tasked with maintaining a production server, I relied on a checklist my predecessor had left for me. The checklist contained all the maintenance steps along with their corresponding commands. In those early days, I religiously copied each command, double- and triple-checking each character before pressing the Enter key. Slowly but surely, the commands got committed to memory until one day I realized I did not need the checklist.

ManageEngine Insights - Fireside Chat on "Decoding the power of enterprise AI"

Artificial intelligence is becoming increasingly powerful and ubiquitous. This coupled with the rapid pace of AI adoption has many organizations scrambling to adopt some form of enterprise AI. However, many experts also believe that while AI adoption has accelerated in recent times, it may be moving too fast. In a bid not to get left behind, many organizations jump onto the AI bandwagon without fully understanding how it fits in with their organizational strategy. Many business leaders also believe that some level of control and regulations is required to ensure AI solutions achieve their full potential.

Terraform is Not the Golden Hammer

Terraform is probably the most used tool to deploy cloud services. It's a fantastic tool, easily usable, with descriptive language (DSL) called HCL, team-oriented, supporting tons of cloud providers, etc. On paper, it's an attractive solution. And it's easy to start delegating more and more responsibilities to Terraform, as it's like a swiss knife; it knows how to perform several kinds of actions against several varieties of technologies.