We had one of our awesome customers reach out to us regarding our PagerDuty integration and how it could be made more awesome for them. Our co-founder Josh's eyes grew wide with excitement, so he immediately went to work on improving the integration. He even broke the golden rule of coding and...deployed. On. A. Friday! (gasp)
It’s time to stop thinking of Grafana as a general dashboarding tool. “Grafana Labs is on a journey to becoming a developer’s observability platform to support your classic DevOps use cases,” said Grafana Labs’ Director of UX, David Kaltschmidt, at a recent talk given at the 2019 InfluxDays Conference in London.
This article originated from http://leebriggs.co.uk///blog/2018/11/07/kr8-kubernetes-config-mgmt.html Previous visitors to this blog will remember I wrote about configuration mgmt for Kubernetes clusters, and how the space was lacking. For those not familiar, the problem statement is this: it’s really hard to maintain and manage configuration for components of multiple Kubernetes clusters.
This week at re:Inforce in Boston, the AWS team showed off its Security Hub service—a powerful service that provides SecOps teams a comprehensive view of their high-priority security alerts and compliance status across their AWS accounts. We’re excited to join AWS at re:Inforce this week as a Security Hub partner, where we’ll show users how PagerDuty and AWS Security Hub work together to provide real-time SecOps to any team using AWS.
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.
