Operations | Monitoring | ITSM | DevOps | Cloud

Syslog is a fundamental protocol for collecting messages and event data from various devices and applications across a network. Think of it as a universal language that allows your servers, routers, firewalls, and software to send their operational insights to a central logging point. Born from Unix systems, Syslog has evolved to become the industry standard, forming the backbone of effective log management and providing a unified view of your infrastructure's activity.

We’re thrilled to announce the Beta launch of Logz.io Dashboards – a major step forward in how engineers and DevOps teams visualize and analyze their telemetry data. For the first time, Logz.io users can now create dashboards that bring together logs, metrics, and traces in a single unified view — making it easier than ever to monitor performance, detect issues, and troubleshoot incidents without switching tools or losing context. This launch is more than just a product update.

If you’ve worked with Kubernetes, you know logs are essential for understanding what’s happening inside your clusters. However, unlike traditional servers, Kubernetes logs present their unique challenges. Pods frequently start and stop, containers restart regularly, and logs stored locally can be lost quickly. Because of this, managing logs in Kubernetes requires a different approach.

Security and DevOps teams are drowning in data. Fueled by the explosion of cloud-native architectures, microservices, and accelerated software development cycles driven by AI, telemetry volumes are growing faster than ever. For most organizations, security and observability data is now doubling every 2–3 years. At the same time, most of the tools used to analyze that data—SIEMs, log analytics platforms, and cloud-native observability tools—charge based on ingestion volume.

Today, we are happy to celebrate Elastic and AWS committing to a five-year strategic collaboration agreement (SCA). Our collaboration underscores the efforts of Elastic and AWS to provide you with increased speed and greater flexibility as you adopt generative AI technology.

By Sara Miteva Sr. Product Marketing Manager, Checkly ‍ Modern applications are complex. Microservices, third-party dependencies, and continuous deployments all contribute to a flood of telemetry data—logs, metrics, traces—flying in from every direction.

Cloud computing has become the backbone of modern business operations, powering everything from day-to-day collaboration to large-scale digital transformation initiatives. As organizations deepen their reliance on cloud services, the financial stakes continue to grow. According to Gartner, global spending on public cloud services is projected to reach over $720 billion in 2025, a significant increase from nearly $600 billion in 2024.

Logs are a key part of building and running software, but managing them can get complicated fast. As your apps grow and generate logs from many sources, choosing the right tool to store, search, and analyze those logs becomes important. Graylog and Loki are two popular options, each with a different way of handling logs. In this blog, we’ll break down the main differences between Graylog and Loki, how they work, and which types of projects they suit best.

VPC Flow Logs come with a default format that gives you basic network traffic details. But you can tweak the format to capture exactly what you need. This can lower costs, speed up processing, and make your logs fit better with what you’re trying to monitor. If you want to improve security, keep an eye on performance, or save money, adjusting your VPC logs can make a big difference. Let’s take a look at some practical ways to customize your logs beyond the default settings.