Operations | Monitoring | ITSM | DevOps | Cloud

A web application or an API breaking is a matter of when, not if. Whether the cause is buggy code making it to production or infrastructure failing to support the software built upon it, incidents of varying severity are the norm rather than the exception, appearing frequently enough that the industry has coined the terms Mean Time To Detect (MTTD) and Mean Time To Recovery (MTTR).

At Logz.io, we’re seeing a very fast pace of adoption for Kubernetes–at this point, it’s even outpacing cloud adoption, with companies running on-prem fully adopting Kubernetes in production. Why are companies going in this direction? Kubernetes provides additional layers of abstraction, which helps create business agility and flexibility for deploying critical applications. At the same time, those abstraction layers create additional complexity for observability.

A while ago, we added Metrics to our observability platform so teams could easily see system information right next to their application observability data—no tool or team switching required. So how can teams get the most out of metrics in an observability platform? We’re glad you asked! We had this conversation with experts at Heroku. They’ve successfully blended metrics and observability and understand what is most helpful to know.

Analyzing multiple databases using multiple tools on multiple screens is error-prone, slow, and tedious at best. Yet, that’s exactly how many network operators perform analytics on the telemetry they collect from switches, routers, firewalls, and so on. A unified data repository unifies all of that data in a single database that can be organized, secured, queried, and analyzed better than when working with disparate tools.

I’m delighted to share that version 7.2 of eG Enterprise has introduced support for performance monitoring of Snowflake databases. eG Enterprise’s integration with Snowflake enables complete visibility into the Snowflake architecture and operations, alongside the performance and costs of any dependent cloud hosted infrastructures such as AWS or Azure.

Avid PC gamers know that if you want optimal performance, you have to push your computer to its limits. And if your gaming “rig” is not properly equipped with a large interior fan, your PC can overheat, resulting in more than a few performance issues. It is the same for enterprise-level devices or pieces of hardware: overheating creates problems. One such enterprise-level piece of hardware (and arguably the most crucial piece of equipment) is a server.

As more and more companies move towards Microsoft 365, it’s essential to have the right tools to monitor the platform effectively. Monitoring Microsoft 365 can be a complex task requiring advanced monitoring tools to ensure the smooth and uninterrupted functioning of the platform. This is particularly important for businesses that rely heavily on Microsoft 365 for daily operations.

Trusted Research and Review Organization Recognizes ScienceLogic as Industry’s Best for the Fourth Straight Year.

Have you ever heard the saying: “Poor planning on your part does not imply an emergency on my part”? But don’t worry, we’ve got you covered. In this articWell, let’s just say Bob Carter, the man who said it, was clearly not in the customer service business. When we talk about dealing with clients, poor planning on their part can quickly turn into an emergency on your part. And believe me, there’s nothing nice about an emergency with a client.

In today's digital landscape, where performance is a key factor in delivering exceptional user experiences, organizations rely on performance monitoring tools to optimize their applications and networks. From Application Performance Monitoring (APM) to Network Performance Monitoring (NPM), these tools provide valuable insights into the performance of critical components in the technology stack.