Operations | Monitoring | ITSM | DevOps | Cloud

Observability

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

Multi-Project Cloud Monitoring made easier

Customers need scale and flexibility from their cloud and this extends into supporting services such as monitoring and logging. Google Cloud’s Monitoring and Logging observability services are built on the same platforms used by all of Google that handle over 16 million metrics queries per second, 2.5 exabytes of logs per month, and over 14 quadrillion metric points on disk, as of 2020.

Unified Observability: A Business-Centric View

Here at LogicMonitor, we’re on a mission to build the most comprehensive, extensible, and intelligent monitoring and observability platform in the world to help businesses run seamlessly. We’ve spent more than a decade building a best-in-class monitoring platform. Over the past two years, however, we have further evolved our platform to deliver invaluable end-to-end observability across applications, networks, and infrastructure for companies of all sizes and in a variety of industries.

Total Economic Impact study: Elastic delivers 10X performance with up to 75% cost savings

Ten times faster at a fraction of the cost. If you want a headline as to why you should consider adopting Elastic for security and observability, that is it. We often work with our customers to help them establish the business value of Elastic within their organizations. We commissioned Forrester to conduct a Total Economic Impact (TEI) study of our security and observability solutions so our customers have an unbiased view that they can share with their internal stakeholders.

Chapter 7: In Which Sarah Experiments with Observable Low-Code

This is the seventh chapter in a series of blog posts exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this chapter, our DevOps Engineer, Sarah, experiments with low code and Moogsoft in her team’s DevOps toolchain to rush a new feature out the door to keep up with a competitor.

Anomaly Detection on Observability Data using Machine Learning

Machine learning helps detect undesired behaviors in your observability data. This makes it easier to spot performance degradation in your applications, services, or instances. In this video, you'll learn how to automate anomaly detections using machine learning on your observability data.

Why Are SaaS Observability Tools So Far Behind?

Salesforce was the first of many SaaS-based companies to succeed and see massive growth. Since they first started out in 1999, Software-as-a-Service (SaaS) tools have taken the IT sector and, well the world, by storm. For one, they mitigate bloatware by moving applications from the client’s computer to the cloud. Plus, the sheer ease of use brought by cloud-based, plug-and-play software solutions has transformed all sorts of sectors.

Planning Center: Simplifying observability and reducing MTTR in a serverless world, with Datadog

Justin Bodeutsch, Systems Administrator at Planning Center discusses how Datadog’s alerting, log management, serverless, and infrastructure monitoring tools have simplified internal processes and been instrumental in minimizing MTTR across the business.

Observability From the Application to the Edge

Observability is a buzzword right now. Rightly so, as many companies are greatly concerned about what’s happening with their systems. Every company has become a software company and if they aren’t, they are being disrupted by one. IT leaders have more weight on their shoulders than ever before and it’s because digitization is rapidly changing the way people consume nearly everything.

How Can Companies Benefit from Observability? | Splunk's Spiros Xanthos & influencer Jo Peterson

Observability – what is it? Until now, the tools IT and DevOps teams have relied on to monitor and manage applications have often been disconnected. With a massive shift to cloud infrastructure, organizations are now wrestling with operational complexity. Leadership must look to solutions that break down silos and offer real-time insights and visibility to decrease time troubleshooting.