Operations | Monitoring | ITSM | DevOps | Cloud

Heroku is a platform for deploying, running, and managing applications, which is written in a variety of programming languages, including Python, Java, C#, JavaScript, PHP, and others. Heroku's goal is to free you up to focus on your applications rather than infrastructure management. Logging is usually included in infrastructure management. Heroku provides a high-level log maintenance tool. In this Heroku logging article, we'll learn how to get the most out of Heroku logs.

We started the Feedback Week, because we wanted to hear what your thoughts around the Icinga Universe are. Whether it is about Icinga as a company, the products or the Community: in order to know what you feel and think about Icinga, we can develop the best possible monitoring tool for you. So here we are, recently finished off the second Feedback Week with a total of nearly 1300 votes all over Social Media and the Community!

Apache Kafka is a distributed messaging system that can be used to build applications with high throughput and resilience. It is often used in conjunction with other big data technologies, such as Hadoop and Spark. Kafka-based applications are typically used for real-time data processing, including streaming analytics, fraud detection, and customer sentiment analysis. There are many derivatives such as Confluent Kafka, Cloudera Kafka, and IBM Event Streams.

Are you migrating to Azure or another public Cloud? A client of ours did, and they didn’t use Galileo Cloud Compass. Do you know what happened? They didn’t experience the savings they expected, and their Azure invoices were a lot more than expected—about 60% more. There are a couple of reasons for this. One is that they didn’t have an accurate way to price their workload for the Cloud. Just think about understanding the pricing model for each of the major Cloud vendors!

Are you migrating to Azure or another public Cloud? A client of ours did, and they didn’t use Galileo Cloud Compass. Do you know what happened? They didn’t experience the savings they expected, and their Azure invoices were a lot more than expected—about 60% more. There are a couple of reasons for this. One is that they didn’t have an accurate way to price their workload for the Cloud. Just think about understanding the pricing model for each of the major Cloud vendors!

Welcome to the engineering metrics guide for team success. Engineering metrics are data that teams can use to make informed decisions and operate at maximum efficiency. Don’t use CI on your team? Learn why continuous integration is key to increasing deployment frequency.

One of the benefits of deploying software on the cloud is allocating a variable amount of resources to your platform as needed. To do this, your platform must be built in a scalable way. The platform must be able to detect when more resources are required and assign them. One method of doing this is the Elastic Load Balancer provided by AWS. Elastic load balancing will distribute traffic in your platform to multiple, healthy targets. It can automatically scale according to changes in your traffic.

Software companies face more challenges than ever before to keep pace in an ever-evolving industry that requires innovation and reliability. The pressure to adapt to fast-moving and sophisticated technologies can easily create silos amongst teams and a lack of visibility within organizations. With legacy technology stacks and systems now in the rearview mirror, the focus of large-scale software development has shifted to ensuring standardization and distributed computing in a growingly serverless world.