Operations | Monitoring | ITSM | DevOps | Cloud

What tool does your staff use most to communicate? If you’re like a lot of other companies, you may have recently started using Microsoft Teams. In April of 2020, Microsoft reported having 75 million users with a push of 31 million new users due to the COVID-19 stay-at-home orders. At Uptrends, we think it is important that our customers can get their monitoring alerts using the communication channels they use most, so we’ve added a new Microsoft Teams integration.

Client libraries are collections of code that make it easier for developers to write flexible and efficient applications that interface with APIs. Datadog provides client libraries so you can programmatically interact with our API to customize dashboards, search metrics, create alerts, and perform other tasks. We’re pleased to announce that we’ve developed and open-sourced two new client libraries for Java and Go in addition to our existing Ruby and Python libraries.

We are excited to share that ManageEngine’s Log360 has been awarded the 2020 Fortress Cyber Security Award for Threat Detection. The Business Intelligence Group’s unique scoring system measures performance across multiple business domains.

The Slack Audit Logs API is for monitoring the audit events happening in a Slack Enterprise Grid organization to ensure continued compliance, to safeguard against any inappropriate system access, and to allow the user to audit suspicious behavior within the enterprise. This essentially means it is an API to know who did what and when in the Slack Enterprise Grid account. We are excited to announce the Slack Add-on for Splunk, that targets this API as a brand new data source for Splunk.

The Cloud Is a No-Brainer… Most companies by now have a “to the cloud” initiative that’s at one stage or another of maturity. It’s a great way to make better use of all your resources—people, time, and money. And it gives you more flexibility. You don’t have to size your entire application architecture for important but short-lived peaks, such as Black Friday for retailers or year-end ERP closing for large manufacturers, to name just a couple examples.

Since 2014 when AWS launched AWS Lambda and kickstarted the serverless movement, going serverless has grown exponentially for organizations of all sizes from one-man start-ups to huge listed global enterprises. While there are some challenges to this new architecture, the ways moving to serverless can transform a business often far outweigh these.

Defining what a smart business is can be as difficult as defining what a smart person is. For decades, we have known that there are different types of intelligence that can help us in different aspects of our lives, and something similar happens with smart businesses. However, since we do not want to give up on our efforts to know what it is, we can see some of the different aspects that can turn a business into a smart business. Shall we take a look at them?

Faithful operation of your JFrog Platform can be best assured by tracking usage data of Artifactory and Xray. With insights gained through real-time observability and log analytics, you can boost the efficiency of your DevOps pipeline and keep your software releases running joyfully. Datadog is a SaaS-based data analytics platform that is a popularly used monitoring service for cloud-scale applications.

Auth0 is one of the top leading identity management platforms in the world. It’s focused on providing solutions for application builders, specifically solutions needed for custom-built applications. Auth0 provides expertise to scale and protect identities in any application, for any audience. This post will show you how Coralogix can provide analytics and insights for your Auth0 log data – including performance and security insights.

Get Better Observability With Machine Learning Anomaly Detection. DevOps teams today are challenged with the rapid growth and complexity of infrastructure. Managing those environments only through static thresholds becomes insufficient, so to address this issue, modern DevOps teams rely on advanced ML/AI algorithms.