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The latest News and Information on Observabilty for complex systems and related technologies.

Retail Observability | Softcat + Grafana

Grafana empowers retailers to deliver unmatched customer experiences, reduce costs, and optimize delivery with omnichannel observability. Innovate faster, increase agility, and watch your business thrive. Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case.

How Logz.io Provides Trustworthy Observability through AI

The business of observability is all about data: what you’re observing in the data, how you’re visualizing it, what it indicates about the state of your environment, and how to address issues that may occur. Creating your own perspective for observability, and understanding what you’re seeing, can be difficult.

Staffing Up Your CoPE

Getting the right people working in the CoPE is crucial to success because these change agents must limber up the organization and promote the flexibility necessary to perform resilience. We’ll look for teammates who share enough in common to work well together, but who don’t necessarily perfectly overlap so that they can play off each other’s strengths.

Why Every Engineering Team Should Embrace AWS Graviton4

Two years ago, we shared our experiences with adopting AWS Graviton3 and our enthusiasm for the future of AWS Graviton and Arm. Once again, we're privileged to share our experiences as a launch customer of the Amazon EC2 R8g instances powered by AWS Graviton4, the newest generation of AWS Graviton processors. This blog elaborates our Graviton4 preview results including detailed performance data. We've since scaled up our Graviton4 tests with no visible impact to our customers.

Intelligent Health Checks: one-click observability for reliability tests

Reliability testing and observability are similar in one important way: engineering teams know they should be doing it, but they’re not sure how to start, or they don’t have the right resources, or they need to focus on competing priorities like feature development and incident response. In an ideal world, reliability and observability would be automated processes that configure, monitor, and run themselves.

Modern Observability in Action at the University of Oxford

The Bennett Institute for Applied Data Science at the University of Oxford is pioneering the better use of data, evidence, and digital tools in healthcare, policy, and beyond. The institute employs an open-source approach with its OpenSAFELY analytics platform, enabling high-impact research that yields actionable insights, drives innovation, and enhances lives globally.

Discover Financial Services cuts costs and accelerates data retrieval with Elastic Observability

Learn how Discover Financial Services helps its customers achieve a better financial future by partnering with Elastic. Discover utilizes Elastic Observability for its centralized logging platform. Users now have improved monitoring capabilities to help solve issues.

End-to-end SAP Observability with Elastic, Google Cloud, and Kyndryl: A deep dive

Tens of thousands of companies in the world, across almost all industries, from midsize to large enterprises, rely on robust, efficient complex SAP systems to power their core operations. From sales to finance, from warehouse management to production planning and execution, business’s continuity, revenue, and customer success highly depend on processes running on enterprise resource planning (ERP) architectures.

CI/CD observability: A rich, new opportunity for OpenTelemetry

Continuous integration and continuous deployment (CI/CD) are the backbone of modern software delivery, but there’s still limited visibility into their processes. Here’s how that’s changing with OpenTelemetry (OTel), and why those changes are so exciting.