Long-term storage, especially for logs, is essential to any modern observability provider. Each vendor has their own method for handling this problem. While there are numerous available solutions, let’s explore just one – DataDog – and see the benefits and limitations.
Observability is the ability to gather data from metrics, logs, traces, and other sources, and use that data to form a complete picture of a system’s behavior, performance, and health. While monitoring alone was once the go-to approach for managing IT infrastructure, observability goes further, allowing IT teams to detect and understand unexpected or unknown events.
Amazon Web Services (AWS) recently announced the release of Amazon Linux 2023 (AL2023) as the next generation of Amazon Linux with enhancements to its already-proven reliability. Besides offering frequent updates and long-term support, AL2023 provides a predictable release cadence, flexibility, and control over new versions. It also eliminates the operational overhead that comes with creating custom policies to meet standard compliance requirements.
OpenTelemetry is an open-source observability framework that provides a vendor-neutral and language-agnostic way to collect and analyze telemetry data. This tutorial will show you how to integrate OpenTelemetry on Kubernetes, a popular container orchestration platform. Prerequisites.
Businesses are increasingly adopting distributed microservices to build and deploy applications. Microservices directly streamline the production time from development to deployment; thus, businesses can scale faster. However, with the increasing complexity of distributed services comes visual opacity of your systems across the company. In other words, the more complex your system gets, the harder it becomes to visualize how it works and how individual resources are allocated.
Microservices testing is an essential part of any DevOps strategy. In a fast-paced environment like DevOps, you need real-time data on the deployment status and ensure your microservices integrations work correctly. The best way to achieve this is with frequent microservices testing.
Cloudwatch is the de facto method of consuming logs and metrics from your AWS infrastructure. The problem is, it is not the de facto method of capturing metrics for your applications. This creates two places where observability is stored, and can make it difficult to understand the true state of your system. That’s why it has become common to unify all data into one place, and Prometheus offers an open-source, vendor-agnostic solution to that problem.
In modern observability, Lucene is the most commonly used language for log analysis. Lucene has earned its place as a query language. Still, as the industry demands change and the challenge of observability grows more difficult, Lucene’s limitations become more obvious.
OpenTelemetry is an open-source observability framework that provides a vendor-neutral and language-agnostic way to collect and analyze telemetry data. This tutorial will show you how to integrate OpenTelemetry with Amazon AWS Fargate, a container orchestration service that allows you to run and scale containerized applications without managing the underlying infrastructure.
In the last few years, fintech enterprises have disrupted the financial services and banking industry by taking everything computing technology offers – from machine learning to blockchain – and turning it up a notch. Traditional financial institutions must now compete with challenger banks offering electronic payment alternatives, peer-to-peer lending, and investment apps.
