Logz.io customers, here’s some big product news that we think you’ll be excited to hear. Scheduled Alerts, an altogether new manner of alerting, is coming your way. That’s right, get ready to utilize a whole new world of alerts that weren’t previously available in the Logz.io platform.
Moving beyond traditional monitoring to embrace full stack observability offers a seemingly endless range of benefits. Beyond unifying logs, metrics, and traces in a single platform, the opportunity to enlist advanced analytics and engage a more predictive approach represents another huge step forward.
Today, we’re thrilled to announce the early access of our Service Performance Monitoring capability. As today’s DevOps teams know all too well, monitoring application requests in modern microservices architectures is extremely difficult. Requests typically travel across a vast ecosystem of microservices and, as a result, it is often a significant challenge to pinpoint a specific failure in one of these underlying services.
In today’s cloud environments, a typical observability stack might include an Elasticsearch cluster for logging, a few Prometheus servers for metrics monitoring, and an AppDynamics deployment for APM. You may run something similar – most observability stacks consist of multiple siloed tools dedicated to collecting and analyzing specific types of monitoring data.
Today was a very exciting day for Logz.io, as we held ScaleUP 2021 – our second annual user conference – dedicated to elevating our customers’ success, discussing best practices for modern observability, and unveiling Logz.io’s latest product updates. These product advancements were presented by our Co-Founder and VP of Product Asaf Yigal, and members of the Logz.io software engineering team.
As Logz.io prepares to hold its annual ScaleUP user conference tomorrow, celebrating another amazing year of customer success and continued advancement of our observability platform, we’ve got exciting news to share about our involvement with the OpenSearch project.
Distributed tracing has been growing in popularity as a primary tool for investigating performance issues in microservices systems. Our recent DevOps Pulse survey shows a 38% increase year-over-year in organizations’ tracing use. Furthermore, 64% of those respondents who are not yet using tracing indicated plans to adopt it in the next two years. However, many organizations have yet to realize just how much potential distributed tracing holds.
Monitoring cloud-native systems is hard. You’ve got highly distributed apps spanning tens and hundreds of nodes, services and instances. You’ve got additional layers and dimensions—not just bare metal and OS, but also node, pod, namespace, deployment version, Kubernetes’ control plane and more. To make things more interesting, any typical system these days uses many third-party frameworks, whether open source or cloud services.
AWS CloudFormation is a service that enables you to create and provision AWS infrastructure deployments predictably and repeatedly. This helps you leverage AWS products such as EC2 instances, Amazon Elastic Block Store, Amazon SNS, Elastic Load Balancing, and Auto Scaling to build highly reliable, highly scalable, cost-effective applications in the cloud – without worrying about creating and configuring the underlying AWS infrastructure.
It’s been a busy couple of months at Logz.io. We’ve added new features, made critical updates, and added a slew of integrations. Those integrations run the gamut from observability and security services, to cloud tools and container orchestration. Let’s take a quick look at what’s new and what’s coming up at Logz.io.
