Operations | Monitoring | ITSM | DevOps | Cloud

May 2020

How to Overcome the Drawbacks of SIEM Tools

These days, “SIEM” (Security Information and Event Management) is all over the place. SIEM tools work by collecting data from multiple systems and noticing patterns in the data. This adds immediate value to the business by providing insights, security recommendations, and actionable intelligence. Despite being helpful tools for many companies, SIEM tools do have their drawbacks. This article will describe the four main ones and offer suggestions for how they might be overcome.

A Cost Comparison: ELK vs Proprietary Log Analytics

The large volumes of logs, metrics, and traces generated by scaling cloud environments can be overwhelming, but they must be collected to identify and respond to production issues or other signals showing business or application issues. To collect, monitor, and analyze this data, many teams choose between open source or proprietary observability solutions.

The Cost of Building an In-House Monitoring Solution for Metrics

Computing environments are constantly changing. Back when an on-premises server hosted your work, your infrastructure and applications were easy to track. Now that you’re developing in the cloud, things are more challenging. You’re learning that each team within your organization uses a different monitoring tool. At this point, you may be wondering if it’s time to build your own monitoring solution with open source tools at its core that everyone can use.

Elasticsearch vs. MongoDB

Elasticsearch and MongoDb are the two most popular distributed datastores used to manage NoSQL data. Both of these technologies are highly scalable and have document-oriented design at the core. There are differences between the two technologies, however, and it’s important to understand these differences in order to choose the right one for your use case. This blog post will examine the differences between these two technologies in a number of critical areas.

DevOps Best Practices for CI CD and Observability

Modern DevOps engineers are responsible for both running production and quickly responding to any production issues. To do this, they need to streamline their CI/CD pipeline and be equipped to quickly identify and investigate problems in production. In this webinar, we’ll hear from Mike and Sam from Logz.io and CircleCI, respectively, on how CircleCI and Logz.io can work together to simplify and accelerate application delivery and response to production issues.

Mitigate Logging Costs While Maintaining Full Observability with Logz.io

Considering the scale of log data that modern cloud environments generate, it’s oftentimes prohibitively expensive to index all of it. For monitoring and logging, cost management is just as important as in other parts of the business. Whether sudden spikes of log data overwhelm databases or good business generates more activity in your environment, teams should anticipate and mitigate the steep costs that result from high log volumes.

How to Create Cost-Effective Infrastructure Monitoring

Out of the box monitoring solutions are getting more and more difficult to implement. In addition, they may not have the features you need, and they’re always becoming more expensive. It’s no wonder you’re trying to create a cost-effective solution via infrastructure monitoring cost management on your own by using a combination of your on-site development talent and a few open-source libraries.

Kibana 7 and Beyond Logz io Enhancements for Success

Kibana 7 introduced some new changes to the popular visualization platform, and this webinar will address how those updates are reflected in Logz.io. The recent enhancements included a cross-app dark theme, a new time picker, new filtering, a better dashboarding experience, and a significant boost in performance. But have the changes impacted your Logz.io user experience? We will dig in and detail how you can avoid common pitfalls and challenges. Expect to learn about.

How to Deploy an Azure Kubernetes Cluster with AKS

At the end of October 2017, Microsoft announced the release of Azure Kubernetes Service (AKS), its hosted version of Kubernetes. If you’re new to AKS and curious about how to get a proof of concept (PoC) set up in your environment, read on. In this AKS tutorial, you’re going to learn, step-by-step, how to get an Azure Kubernetes cluster built with AKS.