The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
In our first blog post, we introduced the concept of cloud unit economics—a system to measure cost and usage metrics. It helps maximize cloud value for better outcomes per dollar spent. We reviewed what cloud unit economics is, why it’s crucial to FinOps success, and how it enables organizations to unlock the full business value potential of cloud computing.
What are the current options to migrate from OpenSearch to Elasticsearch®? OpenSearch is a fork of Elasticsearch 7.10 that has diverged quite a bit from itself lately, resulting in a different set of features and also different performance, as this benchmark shows (hint: it’s currently much slower than Elasticsearch).
We are introducing a new Snooze option for items. When Snoozing an item, the user will define how long an item will stop sending notifications for - once that time period expires then the item will return to normal and begin sending notifications again. Currently, setting an Item to have a status of Muted prevents notifications from being sent until somebody changes the status back to Active.
Many DevOps teams work proactively to meet security and compliance standards. They consider security best practices when developing software with open source components, scanning code for vulnerabilities, deploying changes, and maintaining applications and infrastructure. Security is a key feature of many of the tools they’re using, and the policies and industry standards they’re following.
According to the latest Crowdstrike report, in 2022 cloud-based exploitation increased by 95%, and there was an average eCrime breakout time of 84 minutes. Just as significantly, in 2021, the Biden administration passed an executive order to improve the nation’s cybersecurity standards. There are also upcoming laws like DORA in the European Union. So, increased cyber attacks and legislative pressures mean you need to (a) actively protect against threats and (b) prove that you are doing so.
Distributed transaction tracing (DTT) is a way of following the progress of message requests as they permeate through distributed cloud environments. Tracing the transactions as they make their way through many different layers of the application stack, such as from Kafka to ActiveMQ to MQ or any similar platform, is achieved by tagging the message request with a unique identifier that allows it to be followed.