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Observability

Why there needs to be a 4th pillar of Observability

Logs are the core of the human-machine interface for software developers and operators. Historically, they are very much like caveman paintings. They were our first attempt to express and understand how our software was working. For several decades, logs were an island of calm in a rapidly changing technological ecosystem. Logs remained the same even as software services became web-based and grew in scale.

The role of data observability for enterprise data integrity

Data observability is a critical aspect of any data-driven business. It refers to the ability to monitor, understand, and troubleshoot data quality issues in real-time. In essence, data observability ensures that data is accurate, reliable, and accessible. It involves collecting and analyzing data from various sources to gain insight into how data is being used, how it is flowing through the system, and whether it is meeting the required quality standards.

A buyers guide to choosing the most suitable data observability platform

A lot has been written about data observability by authors, analysts, and vendors over the past few years as it is becoming an increasingly important component of organizations' data architectures. This blog will examine why organizations need data observability and how they should approach the buying experience/cycle.

Microservice Observability with Kong Mesh

Microservice Observability with Kong Mesh Brought to you by @KongInc Senior Solutions Engineer Ahmed Koshok. In this video, Ahmed Koshok demonstrates how Kong Mesh enables you to monitor and troubleshoot your microservices in real-time. Kong Mesh is a service mesh built on top of the Envoy proxy that provides advanced observability features for microservices. With Kong Mesh, you can collect telemetry data, trace requests across multiple services, and visualize service dependencies.

Extending SmartBear's Modern Developer Focused Observability Capabilities

Today, we are very excited to announce the acquisition of Aspecto, an OpenTelemetry (OTel) pioneer whose capabilities will further extend SmartBear’s modern, developer-focused observability capabilities. Aspecto’s solution discovers modern microservice based architectures and visualizes all the real-time interactions between services and APIs through advanced distributed tracing capabilities.

Introducing Grafana Cloud k6: unified performance testing and observability

Organizations use load and performance testing to prevent issues from impacting customers, which is essential if they want to stay relevant in today’s digital-first world. And with the rise of cloud native technology and DevOps, software teams must shift performance testing left, towards development. However, traditional load and performance testing tools simply haven’t kept pace, leaving developers, operations, and QA teams siloed.

Kensu Announces Product Advisory Council to Drive Data Observability Solution Growth

Kensu announces a Product Advisory Council comprised of experienced data leaders to support the company's mission to provide Data Observability at the source through strategic guidance, enriching the Kensu product with insights from market needs.

The role of Data Observability in the single source of truth

Recently I read a very informative article by Stephen Catanzano in Tech Target (Avoid data sprawl with a single source of truth). To be honest, this is an age-old challenge, and it's getting worse. IDC states that by 2025 the global datasphere will grow to 175 Zeta bytes and that 90% of the data in the world is a replica. Why does this matter? As Stephen points out in his article, a single source of truth is a fundamental concept in data management.