Operations | Monitoring | ITSM | DevOps | Cloud

Coralogix is proud to announce a new phase in its partnership with AWS through a Strategic Collaboration Agreement (SCA) focused on bringing AI-powered observability and security to the enterprise. At the heart of this collaboration is Amazon Bedrock, AWS’s managed service for foundation models.

Application performance management (APM) is the practice of regularly tracking, measuring, and analyzing the performance and availability of software applications. APM helps you get visibility into complex microservices environments, which can overwhelm site reliability engineering (SRE) teams. The generated insights create an optimal user experience and achieve desired business outcomes.

As organizations begin to scale their observability strategy, point and click methods of management become increasingly unworkable. This is why Coralogix has now fully released the Coralogix Operator for Kubernetes. Kubernetes operators are control loops that allow users to declare their desired state in their Kubernetes clusters, and the operator is responsible for resolving this state.

Observability is about much more than dashboards and alerts. Extensible platforms that integrate into the user’s tech stack are fundamental parts of a great developer experience. This is why Coralogix has supported gRPC APIs for account management, data ingress & query, alert definition, dashboard creation, permissions management and more. Today, Coralogix adds a new integration, with the launch of OpenAPI endpoints for all existing functionality.

Easily enable Elastic add-on within the Amazon EKS Console for streamlined monitoring and quick data onboarding. Amazon Elastic Kubernetes Service (EKS) makes running Kubernetes on AWS simple and scalable. But as your workloads grow, so does the need for robust monitoring and observability. Enter Elastic Agent, a powerful, unified way to collect logs, metrics, and security data from your EKS clusters, all managed through Elastic Fleet.

In this article, discover how the Qovery engineering team built a high-performance Logs Interface to handle thousands of lines of data efficiently.

Docker Swarm's logging model shifts from individual container logs to service-level aggregation. The docker service logs command batch-retrieves logs present at the time of execution, pulling data from all containers that belong to a service across your cluster. This approach gives you a unified view of distributed applications, but it comes with its patterns and considerations for effective observability.

Most people are probably familiar with the word “grok” from Robert A. Heinlein’s novel A Stranger in a Strange Land, in which it is used to describe a deep, almost mystical understanding of something. ‍ Grok is also the name of a plugin for LogStash that enables you to parse and analyze log data using a syntax similar to regular expressions, but specialized for various log formats and fields.

Two years ago, a power outage knocked a Dropbox data center offline. It wasn’t just any data center. It was the only one where Dropbox hosted Grafana Loki, meaning engineers couldn’t access their log data. “We had considered a data center outage when we were rolling out Loki, but it had just never risen up in priority enough to get put into multiple data centers,” said Chris Hodges, an infrastructure software engineer at the cloud storage company.