ZELK vs ELK: Zebrium vs Elastic Machine Learning

October 25, 2020 | Gavin Cohen

We often get asked how Zebrium ZELK Stack machine learning (ML) compares to native ML for Elasticsearch. The easiest way to answer this is to see the two technologies side by side. No manual training, rules or special configuration were used for either ZELK or ELK.

We often get asked how Zebrium ZELK Stack machine learning (ML) compares to native ML for Elasticsearch. The easiest way to answer this is to see the two technologies side by side. This short (3 minute) video demonstrates what each solution is able to uncover from the exact same log data. No manual training, rules or special configuration were used for either ZELK or ELK.

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Zebrium Named a 2020 Gartner Cool Vendor

October 22, 2020 | Gavin Cohen

Zebrium has been recognized by Gartner as one of four vendors in the report, "Cool Vendors in Performance Analysis", by Padraig Byrne, Federico De Silva, Pankaj Prasad, Venkat Rayapudi & Gregg Siegfried, October 5 2020. 

The past three months has seen Zebrium reach several major milestones! We moved from beta to production and our platform is now in use by industry leading customers who rely on Zebrium to keep their production applications running. We were named in the Forbes AI50 list as one of "America’s Most Promising Artificial Intelligence Companies". We were written up in DZone as one of the "7 Best Log Management Tools for Kubernetes". We added the capability to augment other logging and monitoring tools, and we recently released ZELK Stack - software incident and root cause detection for Elastic Stack (ELK Stack).

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A new machine learning approach for your Elastic Stack

October 16, 2020 | Gavin Cohen

The Elastic Stack (often called the ELK Stack) is one of the most widely deployed observability, log management and log monitoring platforms. It typically comprises some combination of Beats, Elasticsearch, Logstash and Kibana (but many variations abound). Today we’re excited to announce that Zebrium is now part of the mix! ZELK Stack delivers autonomous software incident and root cause detection for your existing Elastic Stack.

The Elastic Stack (often called the ELK Stack) is one of the most widely deployed observability, log management and log monitoring platforms. It typically comprises some combination of Beats, Elasticsearch, Logstash and Kibana (but many variations abound). Today we’re excited to announce that Zebrium is now part of the mix! ZELK Stack delivers autonomous software incident and root cause detection for your existing Elastic Stack.

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Is Log Management Still the Best Approach?

May 29, 2020 | Gavin Cohen

Part of our product does what most log managers do: aggregates logs, makes them searchable, allows filtering, provides easy navigation and lets you build alert rules. So why write this blog? Because in today’s cloud native world, while useful, log managers can be a time sink when it comes to detecting and tracking down the root cause of software incidents.

Disclosure – I work for Zebrium. Part of our product does what most log managers do: aggregates logs, makes them searchable, allows filtering, provides easy navigation and lets you build alert rules. So why write this blog? Because in today’s cloud native world (microservices, Kubernetes, distributed apps, rapid deployment, testing in production, etc.) while useful, log managers can be a time sink when it comes to detecting and tracking down the root cause of software incidents.

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Autonomous log monitoring for Kubernetes

November 18, 2019 | Gavin Cohen

Kubernetes makes it easy to deploy, manage and scale large distributed applications. But what happens when something goes wrong with an app? And how do you even know?

Kubernetes makes it easy to deploy, manage and scale large distributed applications. But what happens when something goes wrong with an app? And how do you even know? We hear variations on this all the time: “It was only when customers started complaining that we realized our service had degraded”, “A simple authentication problem stopped customers logging. It took six hours to resolve.”, and so on.

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The hidden complexity of hiding complexity

October 22, 2019 | Gavin Cohen

Kubernetes and other orchestration tools use abstraction to hide complexity. Deploying, managing and scaling a distributed application are made easy. But what happens when something goes wrong? And, when it does, do you even know?

Kubernetes and other orchestration tools use abstraction to hide complexity. Deploying, managing and scaling a distributed application are made easy. But what happens when something goes wrong? And, when it does, do you even know?

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Reliable signatures to detect known software faults

May 22, 2019 | Gavin Cohen

Have you ever spent time tracking down a bug or failure, only to find you’ve seen it before? Or a variation of this problem: at the completion of automated test you have to spend time triaging each failure, even though many are caused by the same bug. 

Have you ever spent time tracking down a bug or failure, only to find you’ve seen it before? Or a variation of this problem: at the completion of automated test you have to spend time triaging each failure, even though many are caused by the same bug. All this can impact productivity, especially in continuous integration and continuous deployment (CI/CD) environments, where things change rapidly.

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Perfectly structuring logs without parsing

May 16, 2019 | Gavin Cohen

Developers and testers constantly use log files and metrics to find and troubleshoot failures. But their lack of structure makes extracting useful information without data wrangling, regexes and parsing scripts a challenge.

Developers and testers constantly use log files and metrics to find and troubleshoot failures. But their lack of structure makes extracting useful information without data wrangling, regexes and parsing scripts a challenge.

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Troubleshooting the easy way

February 9, 2019 | Gavin Cohen

It takes great skill, tenacity and sometimes blind luck to find the root cause of a technical issue. Zebrium has created a better way!

It takes great skill, tenacity and sometimes blind luck to find the root cause of a technical issue. And for complex problems, more often than not, it involves leveraging log files, metrics and traces.  Whether you’re a tester triaging problems found during automated test, or a developer assisting with a critical escalation, dealing with data is painful.

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Product analytics at your fingertips

December 11, 2018 | Gavin Cohen

According to Gartner, product analytics “help manufacturers evaluate product defects, identify opportunities for product improvements, detect patterns in usage or capacity of products, and link all these factors to customers". The benefits are clear. But there are barriers – product analytics are expensive in terms of time, people and expertise.

 

According to Gartner, product analytics, “help manufacturers evaluate product defects, identify opportunities for product improvements, detect patterns in usage or capacity of products, and link all these factors to customers". The benefits are clear. But there are barriers – product analytics are expensive in terms of time, people and expertise.

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