Come December, it’s traditional in the industry to meditate on emerging trends and make predictions about how these will shape the year to come. I have my fair share of prognostications for 2021, but I want to take this moment to reflect on a year that could never have been predicted.

Developers and operators on IT and development teams want powerful metric querying, analysis, charting, and alerting capabilities to troubleshoot outages, perform root cause analysis, create custom SLI / SLOs, reports and analytics, set up complex alert logic, and more. So today we’re excited to announce the General Availability of Monitoring Query Language (MQL) in Cloud Monitoring! MQL represents a decade of learnings and improvements on Google’s internal metric query language.

As we move into the next year, we are hoping for a return to relative normalcy. That goes for our personal lives, social lives, and professional lives. Professionals have acclimated to the situation, or now see a return to relative normalcy just around the corner with the development of vaccines. And despite the wait, different industries and the DevOps community in particular have persisted.

By leveraging specialist tools built to save time, money, and effort, MSPs can manage their business more effectively. There has been an increased demand for high-quality IT services and MSPs this year. Due to the pandemic, the majority of companies have been forced to adopt remote working conditions, which has led many to seek out support for their IT services that they haven’t necessarily needed in the past.

The SolarWinds hack, which has affected high-profile Fortune 500 companies and large U.S. federal government agencies, has put the spotlight on software development security — a critical issue for the DevOps community and for JFrog. At a fundamental level, if the code released via CI/CD pipelines is unsafe, all other DevOps benefits are for naught.

In this article, we will focus on Proxmox VE monitoring, a virtualization system, for which you will use Pandora FMS agent plugin.

With Elastic 7.9, the Elastic Agent and Fleet were released, along with a new way to structure indices and data streams in Elasticsearch for time series data. In this blog post, we'll give an overview of the Elastic data stream naming scheme and how it works. This is the first in a series of blog posts around the Elastic data stream naming scheme.

Looking for a replacement for your Opsgenie ConnectWise Manage integration? Conversations are popping up on Reddit with concerns over the recent deprecation of Opsgenie’s ConnectWise Manage Integration. In case you’re interested, here is more info about that. And, here’s the warning in Opsgenie’s docs.

Modern IT & DevOps teams face increasingly complex environments — making it harder to quickly detect and resolve critical issues in real-time. To overcome this challenge, Splunk users can take advantage of ML-powered IT monitoring and DevOps solutions available in a scalable platform with state-of-the-art data analytics and AI/ML capabilities. In this blog, we deploy Splunk’s built-in Streaming ML algorithms to detect anomalous patterns in error logs in real-time.

On a given month, we get 1/3rd of requests for modernizing AIX workloads, and that’s perfectly fine because though it’s not a widely used platform there are still thousands of businesses running their mission-critical apps on AIX. Modernizing AIX workloads is a challenging task, and the next question that comes to your mind is where do you start.