Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

How a regex simplification in Loki increased performance by up to 300x

When we graduated Loki into a GA release last year, there were more than 137 contributors who already made more than 1,000 contributions to the project. We also added hosted Loki to the lineup of Grafana Cloud offerings after it proved to be stable internally for our ops cluster, storing 40TB and half a trillion log lines each month. There was, however, one persistent problem that kept surfacing, especially for developers who were writing applications in Go: The regex package was slow.

How To Monitor AWS Elastic Load Balancer

Amazon Web Services Elastic Load Balancer (AWS ELB) enables websites and web services to serve more requests from users by adding more servers based on need. Unhealthy ELB can cause your website to go offline or slow down dramatically. Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances.

Automating Sentry Releases with our Netlify Build Plugin

Netlify allows developers and businesses to publish modern web projects right from your git repos. There’s nothing to set up & no servers to maintain. This past month, Netlify launched Build Plugins, which allows Netlify users to automate and customize their build processes. We loved what the Netlify team was building and how they were automating tedious tasks for developers. So we built the Sentry Netlify Build Plugin!

Jaeger Essentials: Performance Blitz with Jaeger

I’d like to share some of the best practices we’ve learned on our journey to battle performance issues with the Jaeger tracing tool. Some may say we are experts in logging. We log for a living, and have our log analytics service (which we based on open source ELK Stack) to prove it. We’ve mastered logging to the level where debugging and troubleshooting our system is a no-brainer.

LogicTalks - How Aurora Innovates and Automates with Cloud Monitoring

In this episode of LogicTalks, Mark Banfield, Chief Revenue Officer at LogicMonitor, sits down with the CEO of Aurora, Ant Molloy. Aurora.io is a software and services organization who serves a wide variety of MSPs, telco resellers and IT resellers. Listen in as Mark and Ant discuss the innovative ways Aurora is able to quickly deploy and integrate devices in the cloud and on-premises to deliver ROI to its customers.

5 Best Tools to Tail Logs in 2020

Modern businesses rely on a complex ecosystem of digital networks, databases, applications, user devices, and more. The tools and platforms supporting this ecosystem undergo constant refinement and upgrades. However, the basic methods for monitoring infrastructure and application performance have remained unchanged, and logging is one such methods. Every computer, server, networking device, and application produces logs, a timestamped record of events within a system.

5 Best Tools to Tail Logs

Modern businesses rely on a complex ecosystem of digital networks, databases, applications, user devices, and more. The tools and platforms supporting this ecosystem undergo constant refinement and upgrades. However, the basic methods for monitoring infrastructure and application performance have remained unchanged, and logging is one such methods. Every computer, server, networking device, and application produces logs, a timestamped record of events within a system.

Real-time monitoring of Fastly metrics with the Elastic Stack and Haskell

The Stack Infra team at Elastic uses many services to provide downloads for projects like Elasticsearch and Kibana to our users. One of these services is Fastly, which helps us optimize delivery to regions around the world. Keeping an eye on the performance and behavior of our CDN is important to ensure we're operating at the level we expect.

Cost-Efficient Ways to Run DynamoDB Tables

As we all know, the on-demand capacity mode of DynamoDB is great but can be cost-prohibitive in some cases (up to seven times more expensive than the Provisioned Capacity mode). The Provisioned mode, on the other hand, shifts to the development team the burden of predicting what level of capacity will be required by the application. And it’s not quite as straightforward to achieve the same level of scalability in the Provisioned mode as we enjoy in the On-demand one.