Unomaly

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Bringing Unomaly logs into LogicMonitor

In a recent blog post, Tej Redkar (CPO at LogicMonitor Inc) wrote about how LogicMonitor can leverage the technology acquired from Unomaly to pre-empt business problems with AIOps. LogicMonitor brings together Metrics about what's happening in your infrastructure and Topology to tell you where it's happening. What was missing was Logs and the diagnostic tools to understand why an issue was happening -- And this is where we (the Stockholm Unomaly team) come in.

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Managing microservices with a lot of log data

Our previous blog on the 'importance of log data analysis' emphasized the significance of optimizing log data. This blog post focuses specifically on utilizing log data to monitor microservices environments. There are mixtures of opinions when it comes to monitoring microservices. One stance is that it can quickly become a challenge at larger scales, in contrast to a monolith, where everything is in one place.

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Unomaly Joins Forces With LogicMonitor to Improve Observability for End Users, Deliver Insight and Intelligently Drive Action

Happy New Year! We’re starting 2020 with some exciting news. We are pleased to announce that as of today, Unomaly has become part of LogicMonitor, the leading global provider of infrastructure monitoring and intelligence across both on-premise and cloud.

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Observability on unstructured logs: it's possible!

Unomaly extracts the structure of unstructured logs to match them to what we call profiles and detect never before seen events in your infrastructure. While very heavily hyped and marketed by the new players, observability represents a significant shift in the way we try to make our software reliable. This shift needs to happen for a simple reason: we don’t (can’t?) understand our systems anymore.

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Unomaly is modernizing log analysis for 2020 and beyond

2019 has been a year of tremendous progress at Unomaly. This year we introduced weekly releases and have been quickly iterating on our feature set. Now that the year is coming to a close we wanted to take a look back at how Unomaly has changed. We’ve tripled our key feature set to give you exponentially greater context when investigating incidents using your log data and understanding your software’s running state to discover unknown aspects of your infrastructure.

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Join our alpha program to try Unomaly on Docker

For the past few months, we have quietly tested a new way to run Unomaly on any platform that supports DockerCE with a few of our customers. Now we are opening our alpha program, codenamed Amelia, to anyone who is interested. We are testing this new way to run Unomaly because we are committed to making it easier to run our software in modern cloud environments. This is a first step towards a docker based deployment model, which will allow you to run Unomaly on top of Kubernetes in the future.

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Log analysis - it's still important

We’ve spoken to some engineers that have expressed they find log data boring. Boring? We say it’s far from boring, it’s the most contextually rich data we have, but is often ignored because of its volume and how unmanageable it can be for humans to work with. However, without automating the process and having logs pre-analyzed, one could see how this could be the perception.

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Interview with ESL: Transition to microservices & more

ESL, a long time customer of Unomaly has been evolving alongside us. We interviewed them back in 2018 and decided to check in again. Thomas Poehler (Senior VP of IT) and Felix Feinhals (Head Site Reliability Engineer) sat down with us and took us through how they are using Unomaly now and how they see the company continuing to use Unomaly in future.

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Observing Google Cloud Platform Services Best Practices

Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail and YouTube. Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments.

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Packaging Uno into the browser using WebAssembly

Back in January, we made a little CLI tool called uno available, that my colleague @alexandrepesant built. It takes log data and only shows what is a “unique” log line. It is a barebones tool showcasing one of the core parts of our product, anomaly detection, but using a simpler algorithm based on edit distance. As we saw quite a big interest when launching it, we wanted to see if we could make it available without the need to download a binary as well as giving it a proper home.