Operations | Monitoring | ITSM | DevOps | Cloud

Managing Datadog with Terraform

Terraform is an increasingly popular infrastructure-as-code tool for teams that manage cloud environments spanning many service providers. New users are often drawn to Terraform’s ability to quickly provision compute instances and similar resources from infrastructure providers, but Terraform can also manage platform-as-a-service and software-as-a-service resources.

Debug JavaScript in Firefox in 7 easy steps

This article will focus on debugging JavaScript code within Firefox’s Developer Tools. The Dev Tools within Firefox are extremely powerful which will speed up finding and fixing bugs. We’ll be using Raygun Crash Reporting to find the stack trace and the line of code the error occurred on. You can sign up for a free 14-day trial here. So, let’s dive in!

How do you make your customers feel?

There are a lot of tools, apps and services. If you’ve been following Product Hunt, you already know that startups and new apps are being launched every single day. A startup these days is so common that even high-school kids are doing it. There are endless rivers of guides, books and knowhow on how to do it, and since most startups have some sort of product or service, there might be an app for pretty much anything you might think of.

Get going with Azure SQL Managed Instance MP in SCOM

Earlier this year Microsoft released a new Management Pack for Azure SQL Managed Instance - their new PaaS offering of SQL giving you all the benefits of traditional SQL without the hosting. We take a look at the new Management Pack: what it is, how it compares to the SQL version agnostic pack and how to set it up.

Configuration management database (CMDB) in ServiceDesk Plus

Learn how the Configuration Management Database (CMDB) works in ServiceDesk Plus, how to set up your own CMDB, and how it helps IT teams manage their IT infrastructure better. ServiceDesk Plus is an IT service management (#ITSM) software that helps organizations streamline their ticketing, and manage their IT efficiently, ensuring there's minimal downtime and top notch IT service delivery.  

We're making Prometheus use less memory and restart faster

A few months ago, I blogged about memory-mapping of full chunks of the head block from disk. The feature, which was introduced in Prometheus v2.19.0, brings down memory usage and restart time. Additionally, there’s another Prometheus feature in progress that snapshots in-memory data during shutdown for faster restarts; it’s expected to cut down the restart times by a big factor.

How to monitor kube-proxy

In this article, you will learn how to monitor kube-proxy to ensure the correct health of your cluster network. Kube-proxy is one of the main components of the Kubernetes control plane, the brains of your cluster. One of the advantages of Kubernetes is that you don’t worry about your networking or how pods physically interconnect with one another. Kube-proxy is the component that does this work.

Coralogix is recognized by Gartner as a Cool Vendor in Performance Analysis

As the leading log management and analytics platform, we’re proud to announce that we’ve been recognized in the Gartner “2020 Cool Vendors in Performance Analysis” report by Padraig Byrne. Gartner, Inc. is the world’s leading information technology research and advisory company. They offer world-class, objective insights on a wide variety of IT solutions.

Sentry for Spring Boot & Logback

While Spring Boot provides everything developers need build applications, it leaves operational aspects of debugging issues to the developers and third-party services. If up until now all you had was log aggregation, where you can browse and filter through a web UI, prepare to have your mind blown with Sentry’s automatic error grouping, alerting, breadcrumbs, and much more. Sentry has recently launched a major update to the Java SDK. In the post, we’ll focus on Spring Boot and Logback.

Breaking Serverless Things on Purpose: Chaos Engineering in Stateless Environments - Emrah Samdan

Serverless enabled us to build highly distributed applications that led to more granular functions and ultimate scalability. However, it also brought the risk of failure from a single microservice to many serverless functions and resources. You might be able to predict and design for certain troublesome issues but there are many, many more that you probably will not be able to easily plan for. How do you build a resilient system under these highly distributed circumstances? The answer is Chaos Engineering: Breaking things on purpose just to experience how the whole system will react.