Operations | Monitoring | ITSM | DevOps | Cloud

StackState

SOC 2: Data Security For Cloud-Based Observability

As more companies adopt SaaS services over on-premise delivery models, there is a natural concern around data security and platform availability. Words on a vendor’s website can provide insights to prospective customers on the process and policies that companies have in place to alleviate these concerns. However, the old adage of “actions speak louder than words” does apply. Trust in a website’s words only goes so far.

StackPod: Making Customers Successful With Martin Lako of StackState

A while ago, we asked our customers to write reviews about their experiences working with us. With an average rating of 4.6 out of 5 and ten reviews submitted and published within two weeks, we were humbled by the responses. As our CEO, Toffer Winslow wrote, “Perhaps the thing I was most proud of…was just how frequently our customers commented on the high quality of StackState employees they interact with and the caliber of service we deliver.”

A Data Lake Is Not Enough to Keep Your Observability Ambitions Afloat

Recently I heard one of our prospects talk about a competitor who was promoting their data lake and ask, how are we different than that? His question got me thinking about why a data lake alone does not provide the depth of observability you really need. The goal of observability is to help SREs, IT Ops and DevOps teams run their IT systems with close-to-zero downtime. Consolidating data from across your environment into a data lake is certainly a good step.

Getting Started With Observability on Kubernetes | Webinar with Ricardo Santos and Andreas Prins

Monitoring has traditionally been a way for IT operations to gain insight into the availability and performance of its systems. However, today IT organizations require more than just monitoring. They need a deeper and more precise understanding of what is happening across their IT environment. This is challenging, as infrastructure and applications span multiple environments and are more dynamic, distributed and have to support more ongoing change than ever before.

The Observability Maturity Model Webinar | StackState, TechStrong Research, Ripple X

Based on research and conversations with enterprises from various industries, StackState created the Observability Maturity Model. This model defines the four stages of observability maturity. The ultimate destination is level four, Proactive Observability with AIOps.

What You Need to Know in This Year's Upskilling IT Global Report

As a gold sponsor for DevOps Institute’s fourth annual Upskilling IT report, we compiled some key takeaways. However, there is so much more to get from this report – so download and read the full report today. In this technology-driven world, skills have a very limited shelf life. The knowledge, tools and resources we rely on in the moment rarely stay relevant or useful forever – especially with rapidly changing demands.

StackState's v5.0 Release Delivers New 4T Monitors and More: Apply the Power of Topology to Transform Traditional IT Monitoring

This week we released v5.0 of StackState’s observability and AIOps platform, which introduces a rich set of new capabilities. Our latest release contains a little something for everyone responsible for reliably running business critical workloads in dynamic environments – SREs, DevOps, central platform teams, even business teams – and for new and existing users alike.

Big Relationships Grow From Big Data: UMBRiO, StackState and Splunk

Until I came to StackState seven years ago, I was selling for Splunk. Everyone that has big data knows Splunk – big data, big data lakes, observability data, data analysis. Anything to do with data, Splunk is there! While at Splunk, I had the good fortune to sign up a reseller by the name of UMBRiO. Together, with Erik Witte and his team, we sold a multi-million dollar deal to a large, multi-national bank in the Netherlands that put our partnership on the map.