Today’s IT organizations are faced with the challenge of integrating new technology into their infrastructure while continuing to support all of their legacy needs. Building upon the host of features already present in our flagship product, Netreo is proud to announce the release of OmniCenter 12. The enhancements found in this latest release greatly furthers an administrator’s ability to get deep insight into resources across their entire IT landscape.

Observability-driven development requires both rich query capabilities and sufficient instrumentation in order to capture the nuances of developers’ intention and useful dimensions of cardinality. When our systems are running in containers, we need an equivalent to our local debugging tools that is as easy to use as Printf and as powerful as gdb.

To keep you up-to-date with what’s going on in anomaly detection, we keep an ongoing list of the biggest glitches happening in the business world. Here is what made waves in June. June 25, 2019 When Dutch telco KPN suffered a major outage on the evening of Tuesday, June 25, the 112 emergency number was also knocked out across the country. “We have no reason to think it was (a hack) and we monitor our systems 24/7,” the company spokesperson told Reuters.

Companies invest in anomaly detection in order to proactively identify risks, such as revenue loss, customer churn and operational performance issues. Anomaly detection essentially enhances traditional BI and visualization tools, venturing beyond a summary view of your data. It constantly scans every metric, at a granular level, to find abnormalities. But in order for this technology to have an impact, you must be able to trust it.

Machine Learning (ML) algorithms are designed to automatically build mathematical models using sample data to make decisions. Rather than use specific instructions, they rely on patterns and inference instead. And the business applications abound. In recent years, companies such Google and Facebook have found ways to use ML to utilize the massive amounts of data they have for more profit.

We’re pleased to come home from DattoCon19 with memorable experiences. It was a well-curated conference, striking a fine balance between emerging MSP trends, informative sessions, networking and of course, entertainment. Here are my top takeaways from the event.

Enterprise IT teams are dealing with the daily challenges of alert floods, point tool sprawl, and overwhelming hybrid complexity. The recent OpsRamp State of AIOps report indicated that IT professionals are using AIOps tools for productivity gains from intelligent alerting (69%), faster root cause analysis (61%), and better infrastructure performance through anomaly detection (55%).

The introduction of Google Maps in 2005 changed the way we think about the internet. It’s hard to remember now, but there was a time where the internet was disconnected from the physical world. You might find a business’s website, and if you were lucky, they’d have an address included. A national chain of restaurants or grocery stores probably wouldn’t be able to tell you their nearest location to your home. All of that has changed, today.

he Graylog community is what makes the product so exciting. It is awesome to see our community members take the time to help everyone over on our community forums, twitter, reddit or on their own private channels. I wanted to take some time to highlight a blog post by Community member BlueTeamNinja (aka Big Abe) who, after tackling a Graylog deployment shared lessons learned from a non-Linux/non-Elk person.

Logging your Kubernetes clusters to LogDNA is already a breeze, and now the LogDNA Kubernetes agent Helm chart makes it even easier. Helm is the official package manager for Kubernetes. With Helm, deploying and managing Kubernetes applications is as simple as typing a single command. This makes deploying the LogDNA agent across your cluster absolutely effortless.