In any type of organization and at any scale, logs are essential to a comprehensive monitoring stack. They provide granular, point-in-time insights into the health, security, and performance of your whole environment, making them critical for key workflows such as incident response, security investigations, auditing, and performance analysis. Many organizations generate millions (or even billions) of log events across their tech stack every day.

Do you want to confidently move workloads to the cloud without dropping or losing data? Of course, everyone does. But easier said than done. Cloud migration is tricky. There’s so much to think through and so much to worry about — how can you reconfigure architectures and data flows to ensure parity and visibility? How do you know the data in transit is safe and secure? How can you get your job done without getting in trouble with procurement?

I am excited to announce the release of our new logs interface inside Qovery. This feature is a crucial milestone in our journey to improve the debugging experience and provide better insights into deployment failures. As we are just about releasing parallel deployment, we revamped the interface to accommodate the concept of Deployment Pipeline, ensuring a seamless experience when deploying your applications.

As version 4.0.4, we are excited to announce the capability of Cribl’s webhook to write to any destinations and APIs that requires OAuth including Microsoft Sentinel. Cribl has long supported OAuth in many destinations through native integrations but with the enhanced Webhook we can now write to any destination that require OAuth authentication.

Continuous Integration/Continuous Delivery (CI/CD) has now become the de-facto standard for all engineering teams seeking to keep pace with the demands of the modern economy. At Coralogix, we operate some of the most advanced build and deploy pipelines in the world. We’ve baked that knowledge into our platform with a CI/CD Observability feature called Coralogix Tagging.

Metrics, Logs and Traces are often referred to as The Three Pillars of “Observability“. The term observability has been used in control theory to refer to how the state of a system can be inferred from the system’s external outputs. Applied to IT, observability is how the current state of an application can be assessed based on the data it generates. Applications and the IT components they use provide outputs in the form of metrics, events, logs and traces (MELT).

At KubeCon Europe, it was announced that Elastic Common Schema (ECS) has been accepted by OpenTelemetry (OTel) as a contribution to the project. The goal is to achieve convergence of ECS and OpenTelemetry’s Semantic Conventions (SemConv) into a single open schema that is maintained by OpenTelemetry. This FAQ details Elastic’s contribution of Elastic Common Schema to OpenTelemetry, how it will help drive the industry to a common schema, and its impact on observability and security.

A quick look at headlines emanating from this year’s sold out KubeCon + CloudNativeCon Europe underlines the fact that Kubernetes security has risen to the fore among practitioners and vendors alike. As is typically the case with our favorite technologies, we’ve reached that point where people are determined to ensure security measures aren’t “tacked on after the fact” as related to the wildly-popular container orchestration system.

Evolving DevOps maturity, mounting Mean-Time-to-Recovery (MTTR), and perplexing cloud environments – all these factors are shaping modern observability practices according to approximately 500 observability practitioners. While every organization faces its unique challenges, there are broadly impactful trends that arise.

The process of building and maintaining modern, cloud-based applications requires a new approach to infrastructure monitoring. Traditionally, engineers would try to isolate a specific infrastructure component causing an issue — and fix it alone, without diving into code. Today, DevOps engineers must understand how application performance is related to their infrastructure. Infrastructure, for DevOps engineers, is an enabler to deploy code.