Operations | Monitoring | ITSM | DevOps | Cloud

More and more organizations are migrating their data to the cloud but the majority are likely to end up managing hybrid estates, with some data managed through a cloud provider and some managed locally. This leads to some unique issues, especially around monitoring and services. If the objective of migrating to the cloud is simply to implement virtual machines (VMs) in a different location than you traditionally do, there will be fewer challenges.

Few creatures from mythology have captured the imagination of mankind quite like the legendary Minotaur. A half-man, half-bull behemoth that is said to guard the halls of the impenetrable labyrinth of Crete. The ancient sagas stated that only the bravest of warriors would be able to match its incredible strength and escape its mystifying maze.

Any data-centric organisation faces the prospect of data growth at some point in their existence; it is estimated that more than 2,500 Petabytes (PB) of new data is created every day. While only a few organisations will ever have to deal with that kind of scale, it is important to plan ahead for your own organisation’s growth. Legacy appliance-based storage systems where hardware and software are closely coupled can be expensive to maintain, expand, and difficult to operate.

In our service-driven world, businesses must provide the best user experience possible. Great service helps you retain long-term customers while also growing your customer base — to keep tabs on service performance, a few key metrics and signals come into play.

Before we do a detailed dive into what Prometheus and Datadog are, let's look at the key comparison points. Both Prometheus and Datadog are monitoring tools, but Prometheus is open source and Datadog is proprietary. Prometheus is the de facto tool for monitoring time-series for Kubernetes, and Datadog is an all-around APM, logs, time-series, and tracing tool.

AWS EC2 (Elastic Compute Cloud) has revolutionized the way businesses operate in the cloud. With its scalable and flexible infrastructure, EC2 allows organizations to easily deploy virtual servers and manage their computing resources efficiently. However, as your EC2 environment grows, monitoring becomes crucial to ensure optimal performance, security, and cost optimization. One powerful solution for monitoring AWS EC2 is Hosted Graphite by MetricFire, a comprehensive graphing and monitoring service.

Gremlin's Detected Risks feature immediately detects any high-priority reliability concerns in your environment. These can include misconfigurations, bad default values, or reliability anti-patterns. A common risk is deploying Pods without setting a CPU request. While it may seem like a low-impact, low-severity issue, not using CPU requests can have a big impact, including preventing your Pod from running.

Cloud computing has revolutionized the way businesses operate and manage their data. With the vast amounts of information being generated daily, traditional on-premises infrastructure struggles to keep up with the demands of scalability, security, and cost-effectiveness. This is where Azure, Microsoft's cloud computing platform, comes into play. Azure provides a comprehensive set of tools and services that enable organizations to build, deploy, and manage applications and services on a global scale.

Monitoring your network infrastructure plays a pivotal role in identifying potential bottlenecks, optimizing performance, and ensuring seamless operations. By implementing a comprehensive monitoring solution like MetricFire, you gain access to a wide range of features and functionalities designed to simplify the process of monitoring and managing your Huawei switches.