In this article you’ll find out how to 10x your development speed with local serverless debugging. Questions such as “what happens when you scale your application into millions of requests?”, “what to expect when going serverless?”, “how does it look like?”, or “how is it to build applications on serverless and work locally?” will be addressed.
Purchase decisions often begin with a price check. Log management is no different. Evaluate your budget and narrow down the options that fit to choose the tool that gives you the most for what you pay. As always, cheaper is better as long as the platform doesn’t cut any corners. But with log management, there is a catch – not all tools are transparent with their pricing model.
We are happy to announce that the Kafka integration is available for Grafana Cloud, our composable observability platform bringing together metrics, logs, and traces with Grafana. Apache Kafka is an open source distributed event streaming platform that provides high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
You've joined a company, or worked there a little while, and you've just now realised that you'll have to do on-call. You feel like you don't know much about how everything fits together, how are you supposed to fix it at 2am when you get paged? So you're a little nervous. Understandable. Here are a few tips to help you become less nervous.
Patch compliance indicates the number of compliant devices in your network. This means the number of computers that have been patched or remediated against security threats effectively. The distribution and deployment of patches accomplish nothing if your devices are not compliant. So to establish a good patch management strategy, it is important to pay attention to the effectiveness and reach of your patch deployment activities.
In the past few years, JavaScript has evolved in several ways and has come a long way. With the evolving technology, machines are becoming more powerful, and browsers are getting more robust and compatible. In addition, Node.js’s recent development for JavaScript’s execution on servers, JavaScript has been getting more and more popular than ever before.
I recently spoke to the IT Director and Head of End User Computing at a leading healthcare company who implemented Salesforce globally across their entire employee user base 9 months ago (before later becoming a Nexthink customer). She told me their Salesforce licensing model was similar to others you’ll see in market: a set of base licenses and then selected add-ons based on employee roles – with some at no charge and others priced ala carte. Her problem? License metering.
As everything good in life, serverless also comes with its downsides. One of them is the infamous “cold start”. In this article, we’ll cover what they are, what influences serverless startup latency, and how to mitigate its impacts in our applications.
What do Google’s DevOps Research and Assessment (DORA) and Rollbar have to do with each other? DORA identified four key metrics to measure DevOps performance and identified four levels of DevOps performance from Low to Elite. One way for a team to become an Elite DevOps performer is by focusing on Continuous Code Improvement.
Application server monitoring metrics and runtime characteristics are essential for the applications running on each server. Additionally, monitoring prevents or resolves potential issues in a timely manner. As far as Java applications go, Apache Tomcat is one of the most commonly used servers. Tomcat performance monitoring can be done with JMX beans or a monitoring tool such as MoSKito or JavaMelody.
