Operations | Monitoring | ITSM | DevOps | Cloud

Webinar: Achieve comprehensive observability with Sensu and Elasticsearch

Oct 1, 2020 By Sensu In Sensu
The Elasticsearch data platform is ideal for analyzing monitoring and observability data. But if your multi-cloud journey has led you to multiple monitoring and observability tools, you may face challenges getting all that data into Elasticsearch. In this webinar, Sensu Developer Advocate Todd Campbell shows you how to get the most out of your Elasticsearch investment — and achieve deeper visibility — with the Sensu observability pipeline.
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Detecting DGA Activity in Network Data with Elastic ML - Oct 1, 2020 Elastic Stockholm Meetup

Oct 1, 2020 By Elastic In Elastic
After infecting a target machine, many malicious programs need to communicate with a command & control server ( C & C) that is controlled by the malware author. In order to avoid detection and subvert defensive measures, malware authors employ domain generation algorithms (DGA), which enable the malware to generate hundreds or thousands of new domains, one of which is then registered by the malware author as the location of the C&C server.
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elastic

Train, evaluate, monitor, infer: End-to-end machine learning in Elastic

Oct 1, 2020 By Apoorva Joshi In Elastic

Machine learning pipelines have evolved tremendously in the past several years. With a wide variety of tools and frameworks out there to simplify building, training, and deployment, the turnaround time on machine learning model development has improved drastically. However, even with all these simplifications, there is still a steep learning curve associated with a lot of these tools. But not with Elastic.

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influxdata

Solving Runaway Series Cardinality When Using InfluxDB

Oct 1, 2020 By Rick Spencer In InfluxData

In this post, you’ll learn what causes high series cardinality in a time series database and how to locate and eliminate the culprits. First, for those of you just encountering this concept, let’s define it: The number of unique database, measurement, tag set, and field key combinations in an InfluxDB instance. Because high series cardinality is a primary driver of high memory usage for many database workloads, it is important to understand what causes it and how to resolve it.

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exoprise

Reduce MTTR with Crowd-Sourced Analytics

Sep 30, 2020 By Sidharth Kumar In Exoprise
The new normal for enterprises today is to witness the vast majority of its employees working remotely across multiple geographic locations and communicating through cloud applications such as Office 365, Slack, or video conferencing tools such as Microsoft Teams or Zoom. As more users feel the need to avoid travel and stay at home due to Covid19, it becomes critical that the underlying infrastructure monitoring these applications respond immediately to service disruptions and sub-optimal performance. The slower an application becomes, the more negative impact it can have on employee productivity and the firm's ability to conduct business smoothly.
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elastic

Elastic Stack Monitoring with Elastic Cloud on Kubernetes

Sep 30, 2020 By Dawid Kowalski In Elastic

Elastic Cloud on Kubernetes (ECK) is the official operator for provisioning Elastic Stack deployments in Kubernetes. It orchestrates not only day-one provisioning, but also has the processes and best practices for day-two management and maintenance baked in. If you want to run your own Elastic Stack deployment on Kubernetes, then look no further than ECK!

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influxdata

InfluxDB 2.0 Release Candidate Now Available

Sep 30, 2020 By Russ Savage In InfluxData

Today we announce InfluxDB 2.0 Open Source’s first official release candidate (RC). This represents a final version of the software as we move towards general availability. We appreciate all the feedback from our users over the last few years and realize that getting to this stage has taken longer than any of us predicted.

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