Operations | Monitoring | ITSM | DevOps | Cloud

Comparing Prometheus vs. VictoriaMetrics (VM) - Scalability, Performance, Integrations.

The privacy and security of our communication have become critical digital assets that enterprises should protect. The data can give companies valuable insights and allow them to develop new products and services. However, communication data can hold sensitive information such as personal details, financial records, and confidential conversations. To securely store and protect these data, Whisper, an Ethereum blockchain-based messaging protocol, was born.

In today’s digital landscape, virtualization has become an integral part of IT infrastructure. On-premise hypervisors play a crucial role in this realm, enabling organizations to consolidate their hardware resources, improve scalability, and enhance overall efficiency. However, with numerous options available, selecting the right on-premise hypervisor can be a challenging task.

Comparing Prometheus vs. Cortex - Scalability, Cost, Performance, Known Weaknesses.

Azure Virtual Machines (VMs) represent the power of cloud computing, making the infrastructure of the digital age accessible to every business. With Azure VMs, Microsoft has democratized access to virtualized environments, allowing businesses to focus on building their applications without worrying about the underlying hardware. Azure VMs are a part of Microsoft’s Azure platform, one of the most comprehensive cloud platforms on the market.

We are always trying to lower the barrier to entry when it comes to monitoring and observability and one place we have consistently witnessed some pain from users is around adopting and approaching configuration management tools and practices as your infrastructure grows and becomes more complex. To that end, we have begun recently publishing our own little example ansible project used to maintain and manage the servers used in our public Machine Learning Demo room.

When it comes to monitoring IT infrastructure, the costs you see on the price tag of the tool are often just the tip of the iceberg. Below the waterline, a mass of hidden costs can lurk, which can significantly affect the total cost of ownership. In this blogpost we will cover the analysis of two traditional monitoring domains, Open Source observability and Commercial Centralized observability solutions, focusing the direct and indirect impacts when implementing these solution.