We’ve just launched Cortex 1.4.0, one of the most significant releases of 2020. The big headline: The new blocks storage engine has exited the experimental phase and is now marked as Generally Available. Blocks storage aims to reduce the operational complexity and costs of running a Cortex cluster at scale. In particular, it removes the dependency from a NoSQL database to store series indexes.
At InfluxData, we’re obsessed with time to awesome — how quickly can you start working productively with time series data? What can we do to make things better? InfluxDB Templates are a great example of this mindset. Back in April, we announced Templates as a way to package up everything you need to monitor a particular technology — Telegraf configurations and InfluxDB Dashboards, Tasks, Alerts, and related artifacts — into a single configuration file.
While working with customers over the years, I've noticed a pattern with questions they have around operationalizing machine learning: “How can I use Machine Learning (ML) for threat detection with my data?”, “What are the best practices around model re-training and updates?”, and “Am I going to need to hire a data scientist to support this workflow in my security operations center (SOC)?” Well, we are excited to announce that the SplunkWorks team launched a new add-
This latest release of SquaredUp for SCOM and SquaredUp for Azure is focused on addressing the most popular enhancements that our customers have requested.
The latest Nexthink release has rolled out, and we couldn’t be more excited to help you go broader and deeper to solve even more digital experience challenges. What exactly do we mean? End-user computing involves an enormous array of technologies that interact to deliver services to employees—from devices and the operating systems that run on them, to virtual desktops, applications (local and SaaS), and the networks that enable these services.
We are super excited to share that we are currently testing and in the process of rolling out a new desktop global navigation to all of our users. Things that are clear in retrospect often emerge from ambiguous and humble beginnings. Initially built as a simple on-call management tool for IT responders, PagerDuty has evolved into an end-to-end, enterprise-grade digital operations platform.
The ability to automate your incident response process means you can start responding to incidents faster. So it’s easy to see why FireHydrant Runbooks is so popular within the platform. When you let automation take over, you can spend more focus fixing problems and keeping your customers happy. Now with the addition of conditions, you can create even more powerful automation.
Deploying a stack into AWS is at the core of what Stackery helps you do. So much so that Stackery users deployed over 10,000 times last month! For the most part, this has been a manually executed process in our Web UI or command-line client. As teams grow and take on more work, fast and consistent deployments are key to scaling effectively. That’s why we’ve been working this year on continuous integration and deployment (CI/CD) features, tailor-built for serverless applications.
StatusGator has been monitoring hundreds of status pages for more than 5 years. During this time, we’ve collected millions of data points about the status of the cloud: What went down, how long it was down, messages about why, and more. As StatusGator grows, we’re working on ways to incorporate this archival data into StatusGator for various uses. One common use: holding vendors accountable to Service Level Agreements. Introducing: SLA Monitor by StatusGator.
With the new Streama capability announced today, you no longer have to choose what to monitor and what to drop to manage your logging costs. For years, our customers have enjoyed the benefits of a log analytics platform that enables them to autonomously manage and analyze data in their cloud applications. Our machine learning engine empowers users to improve their system stability and accelerate their release cycles.
