Operations | Monitoring | ITSM | DevOps | Cloud

“Today, maintaining a high performance and continuous availability of cloud production environments are some of the most significant pain points for technology organizations. Production availability is commonly measured and managed by evaluating some of the following dimension: Does the product or service work fast enough? Does its performance meet the expected metrics? Is it able to deliver the optimal customer experience?

Kubernetes has seen an incredible rise over the past few years as organizations leverage containers for complex applications, micro-services and even cloud-native applications. And with the rise of Kubernetes, DevOps has gained more traction. While they may seem very different — one is a tool and the other is a methodology — they work together to help organizations deliver fast. This article explains why Kubernetes is essential to your DevOps strategy.

In the first post of this series, we looked at the state of your organization, how to tell if Microservices are right for you, and wrapped up with a few challenges this architecture brings to the table. In this article, we will look at organizational changes that will help you adopt a Microservice architecture. Additionally, we will touch on topics like how to bring change to your organization, how to embrace the primacy effect, and why you should embrace cross-functional teams.

ClickHouse is an open source database management system, and was originally developed as a backend for Yandex’s Metrica analytics platform. ClickHouse is column oriented, meaning that it can quickly scan through ranges of values in a single column without touching irrelevant values in other columns. This makes ClickHouse well suited for online analytical processing (OLAP).

We’re proud to announce the availability of the fresh, new “internal API” to our users. This API is only accessible from within a running instance on the platform.

Properly monitoring the health and performance of Docker containers is an essential skill for solo developers and large teams alike. As your infrastructure grows in complexity, it’s important to streamline every facet of the performance of your apps/services. Plus, it’s essential that the tools you use to make those performance decisions work across teams, and allow for complex scaling architectures.