Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

The Future of Logz.io: Simple, Cost-effective Observability

Asaf and I founded Logz.io in 2015 to provide developers with the ultimate open source log management experience. With our product, logging with the ELK Stack was simple, efficient, and automated for the first time – so customers could save engineering costs and accelerate MTTR.

Lightrun's Product Updates - Q2 2023

During the second quarter of this year, Lightrun persisted producing a wealth of developer productivity solutions and enhancements, aiming for greater troubleshooting of distributed workload applications, reduction of MTTR for complex issues, and cost optimization within cloud-computing. Read more below the main new features as well as the key product enhancements that were released in Q2 of 2023!

Azure Virtual WAN Observability with Kentik Cloud

Unravel the complexities of managing your corporate network in the cloud with Kentik Cloud. This video highlights how Kentik Cloud provides a comprehensive, always up-to-date visualization of your hybrid Azure infrastructure, including your Virtual WAN configuration. Learn how to quickly and easily navigate through your infrastructure's architectural blueprint, delve into the performance of specific VWAN hubs, and access vital utilization details. See how Kentik Cloud can help turn tedious troubleshooting into an efficient, user-friendly process. Experience firsthand the power and convenience of having crucial network insights right at your fingertips.

How to Trial Honeycomb and OpenTelemetry

Insightful proof-of-concepts with a tool can be difficult to undertake due to the demands on valuable resources: time, energy, and people. With a task as grand as observability, how could one truly test if Honeycomb and OpenTelemetry are right for their organization and meet their requirements? For this thought experiment, here’s a comprehensive description of the ideal product evaluation over the course of four weeks, given unlimited resources.

How AIOps Revolutionizes Observability for TechOps Teams

Managing over 1000 services and applications is daunting for any organization’s IT and Tech operations team. With a diverse mix of on-premises legacy systems and modern cloud stacks, the sheer volume of activity can overwhelm even the most skilled ITOps teams. The task is made more difficult by the fact that observability is fragmented. On average, organizations depend on 21 systems that produce metrics, logs, traces, and alerts for various services.

Centralized Observability: What, Why, and How?

Centralized Observability may not be a buzzword but its practicality and importance can’t be denied. Let’s see why is that. As DevOps and IT teams recognize the importance of Observability, it becomes a critical component to monitor the stack and ensure data reliability. That being said, enterprises are rapidly embracing modern data stacks to harness the power of data. Therefore, a host of platforms require data observability as a tool for reliable and trustworthy data management.

Harnessing an observability solution to gain valuable insights into business operations

In my previous articles, I discussed how to design considerations for observability solutions and how observability can augment your security implementation. In this article, I will discuss how an observability solution can provide valuable insights into your business operations through the collected data from various systems, applications, and services.

There Are No Repeat Incidents

People seem to struggle with the idea that there are no repeat incidents. It is very easy and natural to see two distinct outages, with nearly identical failure modes, impacting the same components, and with no significant action items as repeat incidents. However, when we look at the responses and their variations, we can find key distinctions that shows the incidents as related, but not identical.

Streamlining Data Management for Enterprise Security | SpyCloud

In this customer story, Ryan Sanders, lead security engineer at SpyCloud, shares his experience using Cribl to centralize and store data for account takeover protection and online fraud prevention. Ryan discusses the challenges he faced in managing data across multiple platforms and the solutions Cribl provided. Cribl acts as the Swiss Army knife for observability engineers, empowering them to collect data from various sources and perform custom integrations.