Single-page applications (SPAs) provide some significant benefits over multiple-page apps. For JavaScript developers using frameworks like React or Vue, they offer flexibility in moving application logic to the frontend, reducing the need for complex backend operations. For users, SPAs can provide a smooth experience with a highly interactive UI and fewer page loads. But, with increased sophistication, there are some tradeoffs.
In order to manage complex containerized applications, modern devops teams need to have deep visibility into the status of their Kubernetes resources. By listening directly to the Kubernetes API, the open source kube-state-metrics service generates key metrics about your Kubernetes objects, including pods, nodes, and deployments, which are essential for understanding the status and performance of your clusters.
Google Cloud Platform is growing quickly, providing solutions for everything from cloud storage to managed Kubernetes to serverless computing. Since Google App Engine launched in 2008, Google’s suite of serverless products has expanded to help enterprises accelerate application development without having to manage or scale their own infrastructure.
Protecting your applications from abuse of functionality requires understanding which application features and workflows may be misused as well as the ability to quickly identify potential threats to your services. This visibility is particularly critical in cases where an adversary finds and exploits a vulnerability—such as inadequate authentication controls—to commit fraud.
Kubernetes enables teams to deploy and manage their own services, but this can lead to gaps in visibility as different teams create systems with varying configurations and resources. Without an established method for provisioning infrastructure, keeping track of these services becomes more challenging. Implementing infrastructure as code solves this problem by optimizing the process for provisioning and updating production-ready resources.
Datadog’s support of OpenTelemetry—a vendor-agnostic, open source set of APIs and libraries for collecting system and application telemetry data—has helped thousands of organizations implement monitoring strategies that complement their existing workflows. Many of our customers leverage OpenTelemetry for their server- and container-based deployments, but also need visibility into the health and performance of their serverless applications running on AWS Lambda.
React Native is an open source framework for building cross-platform mobile applications. With React Native, developers can easily reuse the same JavaScript code for iOS, Android, and the browser, with only minimal need to accommodate specific platforms.
Your modern cloud-hosted applications rely on a number of key components—such as databases and load balancers—that are managed by the cloud provider. While these cloud resources can reduce the overhead of maintaining your own infrastructure, capturing and contextualizing monitoring data from services you don’t own can be difficult.
Detecting when an unauthorized third party is accessing your AWS account is critical to ensuring your account remains secure. For example, an attacker may have gained access to your environment and created a backdoor to maintain persistence within your environment. Another common (and more frequent) type of unauthorized access can happen when a developer sets up a third-party tool and grants it access to your account to monitor your infrastructure for operations or optimize your bill.
In this series, we’ve introduced key HashiCorp Vault metrics and logs to watch, and looked at some ways to retrieve that information with built-in monitoring tools. Vault is made up of many moving parts, including the core, secrets engine, and audit devices. To get a full picture of Vault health and performance, it’s important to track all these components, along with the resources they consume from their underlying infrastructure.
