Stanza is a robust log agent. GCP users can use Stanza for ingesting large volumes of log data. Before we dive into the configuration steps, here’s a matrix detailing the functional differences between all the common log agents used by GCP users. Stanza was built as a modernized version of FluentD, Fluentbit, and Logstash. GCP users now have the ability to install Stanza to their VMs/ GKE clusters to ingest logs and route them to GCP log explorer.

There’s something wrong with the pricing of observability services. Not just because it costs a lot – it certainly does – but also because it’s almost impossible to discern, in many cases, exactly how the costs are calculated. The service itself, the number of users, the number of sources, the analytics, the retention period, and extended data retention, and the engineers on staff who maintain the whole system are all relevant factors that feed into the final expense.

We’re all familiar with the typical use cases for log management, such as monitoring cloud infrastructures, development environments, and local IT infrastructure. So we thought it would be fun to cover some of the less usual, more wild use cases for log management, just to show that log management tools are more versatile, and more interesting, than they may seem. If any of these use cases look too interesting to ignore, let us know and we can do a full article on them!

Log management software gives the primary diagnostic data in your applications’ development, deployment, and maintenance. However, choosing the log sources to log and monitor could often be a daunting task. The primary cause of concern in monitoring all sources is the high price tag that many SIEM tools in the market charge based on the number of users and sources ingesting logs. At observIQ, we offer unlimited users and sources.

Visualizing log data is one of the biggest perks of using good log management software. Data is many businesses’ most critical asset. But, without proper use, a business’ data becomes just an artifact and no longer an asset. Visualization and analysis are the end goals of collating log data from their sources. The need for visualization arises from the fact that we intuitively process visual information faster than a random jumble of numbers and letters.

With the advent of IaaS (Infrastructure as a service) and IaC (Infrastructure as Code), it is now possible to manage versioning, code reviews, and CI/CD pipelines at the infrastructure level through resource provisioning and on-demand service routing. Kubernetes is the indisputable choice for container orchestration.

Yesterday the most used social media platforms in the world were inaccessible for 6 hours straight. Later, in a press release, Facebook revealed that the outage was due to configuration changes in their routers. There is no doubt that Facebook has an intense incident response plan, yet a small blind spot resulted in a significant business interruption. So how do we avoid this? The truth is, outages and performance issues are bound to happen in any network.

New Relic recently published a survey on the observability projections and trends for the year 2021. At observIQ, an emerging platform of choice in the observability space, we decided to give our users a rundown on what we agreed and disagreed within their survey results.

I want to be remembered. I think a lot of us do. At least, that’s what I used to think. Now I am not so sure. I have a bad habit of looking at the universe through an existential lens where value is measured by impact. Impact, meaning the measurable change created by specific action. Since everything physical ultimately decays, the longest lasting impacts are those that linger in our collective memory. Great works, great triumphs, great discoveries, and great inventions – great impacts.

Yoga is to ideal human health what observability is to an application’s ideal functioning. It is well established that observability is a critical factor for the successful implementation and maintenance of cloud-native, serverless, cloud-agnostic, and microservices-based applications. Well-established observability helps DevOps and development teams cross the boundaries of complex systems and get complete visibility into their functioning.