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

Top 5 New Relic Competitors & Alternatives in 2024 [Including Open-Source]

While New Relic has long been a popular choice for Application Performance Monitoring (APM), the tech landscape has brought forth several compelling alternatives. This guide provides an in-depth look at the top New Relic competitors and alternatives including open-source, comparing their features, strengths, and use cases to help you make an informed decision for your organization's needs.

Centralized Observability on Kubernetes with SigNoz

Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. Backed by Y Combinator. SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack. If you need any clarification or find something missing, feel free to raise a GitHub issue with the label documentation or reach out to us at the community Slack channel.

The Evolution of Engineering and the Role of Observability 2.0 in Shaping the Future

Engineering has come a long way since the days of delivering discrete, point-in-time products that were often packaged on a CD and shipped to customers. The days of physical media and long development cycles are long gone. The advent of cloud computing and the rise of Software-as-a-Service (SaaS) transformed the landscape, creating a new model of continuous development and service delivery. This shift has not only revolutionized how software is developed, but has also redefined the engineer’s role.

Enhance digital resilience through observability

As digital demands grow, so does the pressing need to move to AI and cloud integrations. This is the state for SMEs in Australia who wish to boost agility and responsiveness. These complexities often come with a package of challenges that include increasing costs, security risks, and scalability issues. A recent white paper from ManageEngine addresses this.

How Data Observability is Transforming Modern Enterprise

Modern enterprises are more dependent than ever on data. That's why it's more important than ever for organizations to ensure that their data is accurate, reliable, and easily accessible. Data observability is a modern method that helps achieve this. It involves real-time monitoring of data to detect unusual patterns. By doing so, it ensures data quality and reliability, which boosts operational efficiency and governance.

Getting Started With Refinery: Rules File Template

Sampling is a necessity for applications at scale. We at Honeycomb sample our data through the use of our Refinery tool, and we recommend that you do too. But how do you get started? Do you simply a set rate for all data and a handful of drop and keep rules, or is there more to it? What do these rules even mean, and how do you implement them? To answer these questions, let’s look at a rules file template that we use for customers when first trying out Refinery.

Observability vs Monitoring [Understanding the Key Differences in 2024]

When systems fail, it's not just a technical hiccup – it's a business problem. Downtime means unhappy customers and lost revenue. That's why teams need effective ways to spot issues fast and fix them even faster. This is where monitoring and observability come into play. Monitoring and observability are two key approaches to keeping your systems running smoothly. Monitoring is like your system's alarm bell – it tells you when something's wrong.

Strategies for Lowering Observability Costs

Learn how to cut IT observability costs with OpenTelemetry. We'll cover ways to streamline data collection, reduce hidden expenses, and optimize data management. Discover practical tips for handling telemetry data efficiently, avoiding vendor lock-in, and improving system performance. Watch this video for actionable insights and real-world examples of using OpenTelemetry to manage costs effectively.

Lumigo Introduces AI to Simplify Observability Workflows

Lumigo is expanding its troubleshooting and observability platform with cutting-edge AI-powered tooling, now available in beta, which will provide developers and DevOps teams with the fastest and most cost-efficient way to debug and observe complex microservices. AI is quickly reshaping the technology landscape. However, observability tools have been slow to find ways to leverage AI in a fashion that provides tangible value.