Scorecards are a Cortex feature that allow you to understand how well your services are doing on the metrics you care about. Scorecards are customizable to your needs, however several are common to most organizations. In our previous post, we shared the top three scorecards that we recommend to Cortex customers. Security maturity is one of the first scorecards we recommend organizations create.
Efficiency has always been a goal for organizations, but recent economic headwinds have made it a priority. Budgets have been stretched especially thin recently, leading many organizations to focus on improving operational efficiency. Bugs, security incidents and unreliable services can all slow your organization down and distract from delivering on your priorities. Cortex helps you minimize these distractions with its scorecard feature.
What support do developers need at large enterprises to be productive? We often fall into the trap of evaluating coders on output, maybe even innate talent. We think that the best way to build secure and efficient software is to hire 10X developers, and get out of their way. But even if the individuals have massive intellectual firepower, operational work grows like entropy in the system.
In the current macroeconomic climate, it’s more important than ever for executive teams and CEOs to make the most of their resources. Organizations are expected to continually deliver innovative products and services in a rapidly changing environment, often with reduced engineering budgets. 75% of tech leaders fear displacement from competitors beating them to market, so speed and efficiency are top of mind.
Engineering leaders are accountable to shipping quality products on time and within budget. But a CEO's historical understanding of engineering operations has been pretty opaque: ships on time, or doesn't. And although DORA metrics are a good place to start, they don’t offer the complete picture needed for CEOs. With new tooling to support greater engineering efficiency, CEOs are learning that it's possible to get a richer picture of engineering productivity, quality, and velocity.
In recent years, microservices have emerged as a popular architectural pattern. Although these self-contained services offer greater flexibility, scalability, and maintainability compared to monolithic applications, they can be difficult to manage without dedicated tools. Kubernetes, a scalable platform for orchestrating containerized applications, can help navigate your microservices.
Today's article discusses how ephemeral environments can help in microservices testing. We will start by understanding the microservices testing challenges and will move to the solution. You will learn how to effectively test microservices at scale using ephemeral environments, ensuring the reliability of your distributed systems.
Microservices are increasingly used in the development world as developers work to create larger, more complex applications that are better developed and managed as a combination of smaller services that work cohesively together for more extensive, application-wide functionality. Tools such as Service Fabric are rising to meet the need to think about and build apps using a piece-by-piece methodology that is, frankly, less mind-boggling than considering the whole of the application at once.
