Logz.io has recently launched its Smart Tiering solution, which gives you the flexibility to place data on different tiers to optimize cost, performance and availability. Our mission has been to make Smart Tiering a multi-cloud and multi-region service. As part of this launch, we are glad to announce that the Historical Tier now supports Microsoft Azure Blob Storage, alongside AWS S3.
As with many things in 2020, this year’s AWS re:Invent was quite different from any previous iterations. For starters, instead of a week of live talks, face-to-face sessions, and a room full of booths, this year the event was fully online and stretched out for three weeks. As sponsors of this year’s event, we were excited to participate and continue to make an impact on the AWS community.
Now, you can ship ModSecurity logs to Logz.io to automatically surface high-priority attacks identified by ModSecurity. Logz.io will automatically parse those logs to project a greater bird’s-eye-view of your security situation within dedicated dashboards. ModSecurity is a prolific web application firewall (WAF) popularly used to help secure web servers. It supports Apache HTTP, IIS, and NGINX. It can deploy either as a proxy server or within a web server itself.
This article was originally published on InfoQ at December 3rd 2020. If you’ve migrated from a monolith to a microservices architecture you probably experienced it: Modern systems today are far more complex to monitor. Microservices combined with containerized deployment results in highly dynamic systems with many moving parts across multiple layers.
2020 might be a year many of us want to forget, but this year, we also unveiled a variety of new products and features worth remembering. For the Logz.io team, 2020 was a year full of innovation as we worked to continuously improve our product and complete our unified observability vision. We also launched a variety of new capabilities for Logz.io Log Management, Infrastructure Monitoring, Cloud SIEM, and Distributed Tracing, that make our product faster, smarter, and more cost-efficient.
As we move into the next year, we are hoping for a return to relative normalcy. That goes for our personal lives, social lives, and professional lives. Professionals have acclimated to the situation, or now see a return to relative normalcy just around the corner with the development of vaccines. And despite the wait, different industries and the DevOps community in particular have persisted.
Prometheus is an essential element in DevOps. It has one of the largest contributor communities in the open source world and is the favorite database for time-series metrics data. It is also part of Logz.io’s complete observability package, which integrates open source grafana, Jaeger, and ELK Stack into one platform. It’s a favorite for system and container monitoring. This tutorial will show you how Prometheus works with Docker and your local machine.
There is more to Distributed Tracing with Jaeger than just capturing machine data as with metrics, or tailing log files. To start, you should read this primer. In this article, I will walk you through the initial principles you’ll need before executing anything within your codebase. This is going to focus on Node.js, as slight differences and concerns exist for browser applications.
Load balancing is an element of most popular web applications. The reason for this is simple: Load balancers maintain application scalability and sustainability. It’s nearly impossible to imagine a modern application handling continuous traffic or periodic traffic spikes while relying only on a single running server’s capacity. As a result, load balancers have become a critical part of software development.
This post aims to provide a very simple beginner’s guide to Jaeger + OpenTracing instrumentation for Go applications (the terms “application” and “service” is used interchangeably in this document) via a working example. If you are new to instrumentation, I recommend that you first read this post for a practical introduction to instrumentation for Jaeger and OpenTracing. You can also get more info on using logs in Go.
