If you’ve been looking for an inexpensive way to run your own observability stack while maintaining complete control over your data and its security, look no further. The LOGIQ PaaS Community Edition is officially live!
With the LOGIQ PaaS Community Edition, you can:
- Self-host your observability stack on a cloud provider of your choice — public or private
- Ingest up to 50GB of log data per day with unlimited data retention
- Store your log data on any S3-compatible cloud provider via the built-in Minio S3 service
- Ingest logs from Syslog, RSyslog, Logstash, Fluent, AWS Firelens, JSON, and plenty more
- Run up to 4 ingest worker processes
You’ll also get access to all of the LOGIQ Enterprise Edition’s features along with Community Support, free forever.
There’s no one-size-fits-all approach regarding application monitoring, especially for companies using applications in various cloud environments. Companies are rapidly investing in microservices, mobile apps, data science programs, data ops, etc. Subsequently, they’re also integrating monitoring tools to improve domain-centric monitoring abilities.
AIOps tools help streamline the use of monitoring applications. It allows companies that need high application services to efficiently manage the complexities of IT workflows and monitoring tools. AIOps extends machine learning and automation abilities to IT operations. …
Logging and log management are critical aspects of modern IT management, monitoring, and security. Regardless of whether your IT systems follow monolithic or microservices architecture, they are complex due to the number of moving parts and the challenges they unwittingly pose around management, deployment, and scaling. Log management systems provide DevOps teams and SREs a third eye that helps monitor and improve performance, investigate errors, visualize events as they occur, and help them look ahead.
Log collectors, or aggregators, are critical aspects of the log management infrastructure. They help collect logs from various systems and parse and groom them for…
AWS CloudWatch is an observability and monitoring service that provides you with actionable insights to monitor your applications, stay on top of performance changes, and optimize resource utilization while providing a centralized view of operational health. AWS CloudWatch collects operational data of your AWS resources, applications, and services running on AWS and on-prem servers in the form of logs, metrics, and events. CloudWatch then uses this data to help detect and troubleshoot issues and errors in your environments, visualize logs and metrics, set up and take automated actions, and uncover insights that help keep your applications and deployments running smoothly.
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We’re huge fans of Helm Charts and the simplicity they bring to complex application deployments on Kubernetes and MicroK8s. We showed you how you could use Helm Charts to deploy LOGIQ on MicroK8s in a previous post. As a follow-up to that article, we’d like to show you how Helm Charts are equally helpful in deploying complex applications on other certified Kubernetes distributions such as K3s. In this article, you’ll learn how we use Helm Charts to deploy the LOGIQ observability platform on K3s. If you’ve never used K3s or Helm Charts before, you can use this article to get acquainted with both.
What is K3s?
K3s is a highly available, lightweight, and fully compliant Kubernetes distribution. K3s is packaged as a single binary, thereby reducing dependencies and minimizing installation, run, and auto-update steps that you’d typically have to take while managing a production Kubernetes cluster. As K3s is lightweight, you can run a cluster on machines with as little as 512 MB RAM and upwards.
K3s comes bundled with a local storage provider, a service load balancer, a Helm controller, and the Traefik ingress controller. …
The growth in information architecture has urged many IT technologies to adopt cloud services and grow over time. Microservices have been the frontrunner in this regard and have grown exponentially in their popularity for designing diverse applications to be independently deployable services.
Trivia: In a survey by O’Reilly, over 50% of respondents said that more than 50% of new development in their organization utilizes microservices.
Using isolated modules, microservices in the Cloud stray away from using monolithic systems, where an entire application could fail due to a single error in a module. …
“ We Can’t Build Tomorrow Using Yesterday’s Tools “
IT infrastructures have been evolving constantly and rapidly, along with Big Data. Businesses worldwide are moving from predictable and static physical systems to intuitive software resources that can reconfigure and adapt based on consumer behaviors.
This evolution brings a rise in the demand for dynamic technology that can help businesses make this shift seamlessly and stay in tune with IT advancements. AIOps has been the driving force in assisting companies in adapting to the continually evolving environment and enhancing their operational capabilities.
AIOps, simply speaking, is the application of…
Helm is a Kubernetes package manager that helps you find, share, and use software built for Kubernetes. With Helm Charts, you can bundle Kubernetes deployments into a single package you can install by running a single command. At LOGIQ, we use Helm Charts on the regular. One of our favorite Helm Charts is logiq — the same Helm Chart we use for quick deployments of the LOGIQ observability platform for customers, prospects, and folks who’d love to know more about what we’re building.
This article will explain how you can deploy your favorite Helm Chart on MicroK8s in under 5…
Kubernetes is one of the most popular choices for container management and automation today. A highly efficient Kubernetes setup generates innumerable new metrics every day, making monitoring cluster health quite challenging. You might find yourself sifting through several different metrics without being entirely sure which ones are the most insightful and warrant utmost attention.
As daunting a task as this may seem, you can hit the ground running by knowing which of these metrics provide the right kind of insights into the health of your Kubernetes clusters. Although there are observability platforms to help you monitor your Kubernetes clusters’ right…
Building and managing cloud infrastructure manually can be quite the task; even more challenging when you’re operating as a distributed team. With everyone pushing multiple (and often concurrent) changes and updates, it can be tricky to properly provision, configure or deploy resources and applications when needed or track and fix errors on the fly. It can quickly create unnecessary dependencies that bog down your system and sap away time and resources that you could spend in strengthening and scaling your infrastructure. It’s situations like this where Infrastructure as Code (IaC) comes in handy.
