Operations | Monitoring | ITSM | DevOps | Cloud

Every so often, somebody in the tech industry proposes a new way to quantify software engineers’ productivity. Most recently, a leading consulting firm published a report that has reignited a recurring debate—is it even possible to effectively measure developer productivity, and if so, how? Whereas functions like sales and support have had rigorous metrics for years, software engineering has long been the exception.

DevOps is a software development philosophy that helps organizations achieve faster delivery, better quality, and more reliable software, making it easier to adapt to changing business needs and customer demands. However, implementing DevOps can be challenging on many levels. It requires changes in culture, processes, skills, knowledge, and tools, which can encounter resistance from traditional silos within organizations. So, how can you successfully implement DevOps within an organization?

Azure Key Vault is Microsoft’s dedicated cloud service, designed to safeguard cryptographic keys, application secrets, and other sensitive data. In an era where digital security is paramount, it functions as a centralized repository. Here, sensitive data is encrypted, ensuring that only designated applications or users can access them. Imagine having a hyper-secure, digital vault where you can store all your essential digital assets.

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.