xMatters announced the addition of two new integrations: Google Kubernetes Engine (GKE) and Google Cloud Run (Cloud Run).
Google Cloud customers count on GKE and Cloud Run to deploy and manage their containerized applications. Cloud Run and GKE integrations with xMatters help safeguard the deployment of digital services to the cloud for even greater digital service resilience. The new integrations, combined with xMatters’ existing Google Operations Suite, create xMatters’ first incident management integrations suite built for Google Cloud.
“When digital services are underperforming, the impact can be profound,” said Troy McAlpin, xMatters CEO. “xMatters provides businesses with a safety net so that if their services, whether in the cloud, on premises or in a hybrid architecture, stop performing as expected, they may be quickly and automatically returned to normal. We’ll continue expanding our integrations with Google Cloud so that our joint customers have all the incident response and management tools necessary to maintain their services and provide excellent customer experiences.”
GKE and Cloud Run are vital components of containerized architecture and applications. In its latest research, The Cloud Native Computing Foundation found that Kubernetes and other cloud-native programs are exploding in popularity, with 84% of companies using container-based applications in production in 2020. The addition of these new integrations into xMatters support cloud businesses who depend on containerized applications to streamline their IT operations.
xMatters customers can add GKE and Cloud Run integrations directly into their existing monitoring and alerting workflows in Flow Designer, xMatters’ drag-and-drop workflow builder. Once added, customers can complete tasks including automating continuous container deployment, orchestrating and auditing remediation for continuous improvement and creating end-to-end cloud infrastructure incident management. To enhance efficiency and availability of their cloud offerings, xMatters and Google Cloud users can now:
- Manage traffic, scale and run commands for containerized applications within Google Cloud’s infrastructure with the GKE integration as part of a remediation workflow in xMatters
- Rollback deployments for applications on Cloud Run using response options and workflows in xMatters
- Monitor, troubleshoot and improve their cloud infrastructure using Google Operations Suite in xMatters’ connected toolchains to orchestrate resolution processes for incident management in Google Cloud
By expanding xMatters’ integration library with GKE and Cloud Run, customers can safeguard their cloud based digital assets from migration to scale. The introduction of these new integrations with Google Cloud helps xMatters further end-to-end incident management, wherever services live, reside or operate.
The Latest
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...
Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...
Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...
As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...
For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...
I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...
Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...
80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...