Ever noticed how the best answers are the simplest ones? 🤔 – No dashboards hopping. – No command overload. – No digging through logs for hours.Just ask 👉 “How many pods are unhealthy?”And get a clear, actionable answer instantly.Simple is simple. Impressive answers.That’s how modern Kubernetes operations should feel.1. Ask any question.2. Get the right […]
Simple is simple. Impressive answers. Read More »
đź’¬ All your Kubernetes answers. Right inside Slack.No more switching tabs. No more digging through dashboards.With KubeHA, your team can get logs, events, metrics, traces, cluster changes, and root-cause insights – all by asking a question directly in Slack.🔹 Ask 🔹 Analyze 🔹 ActKubeHA brings Day-2 Kubernetes operations to where your team already works.Observability meets
All your Kubernetes answers. Right inside Slack. Read More »
KubeHA breaks the silos by correlating logs, metrics, traces, events, and changes-all in one place.Less noise. Faster root cause. Lower MTTR. Follow KubeHA (https://lnkd.in/gV4Q2d4m)Experience KubeHA today: www.KubeHA.comKubeHA’s introduction, https://lnkd.in/gjK5QD3i #DevOps #sre #monitoring #observability #remediation #Automation #kubeha #IncidentResponse #AlertRecovery #prometheus #opentelemetry #grafana, #loki #tempo #trivy #slack #Efficiency #ITOps #SaaS #ContinuousImprovement #Kubernetes #TechInnovation #StreamlineOperations #ReducedDowntime #Reliability #ScriptingFreedom
Data silos slowing down your Kubernetes Day-2 operations? Read More »
GitOps solved single-cluster drift. But in 2026, most teams aren’t running a single cluster anymore. They’re running multi-cluster, multi-region, multi-cloud Kubernetes-and GitOps had to evolve. This evolution is what many teams now call GitOps 2.0. Why GitOps 1.0 Breaks in Multi-Cloud Classic GitOps worked well when: One cluster = one repo Same cloud provider Uniform
GitOps 2.0: Multi-Cloud Deployments Without the Pain Read More »
https://www.youtube.com/watch?v=koWvvywZ5uE Get anomaly detection in your application metrics in a single click!
Get anomaly detection in your application metrics in a single click! Read More »
Dashboards are no longer enough. In 2026, SREs aren’t just looking at graphs – they’re encoding reliability logic directly into queries, alerts, and pipelines. This shift is called Observability as Code (OaC). Why Dashboards Fall Short at Scale Traditional dashboards: Are manually curated Drift over time Don’t enforce correctness Visualize symptoms, not intent Fail during
Observability as Code: Why SREs Are Writing PromQL and Not Just Dashboards Read More »
https://www.youtube.com/watch?v=oQMlllxmO3I KubeHA records all cluster events and changes before you reach the office!Enabling faster debugging and visible root-cause analysis.Try KubeHA (www.kubeha.com) today! Follow KubeHA (https://lnkd.in/gV4Q2d4m) hashtag#devops hashtag#sre hashtag#observability hashtag#monitoring hashtag#remediation hashtag#grafana hashtag#prometheus
KubeHA records all cluster events and changes before you reach the office! Read More »
Modern DevOps teams don’t lack data – they lack connected data.đźš« Logs in one tool đźš« Metrics in another đźš« Traces, events, alerts, configs scattered everywhereThis fragmentation slows down root cause analysis and increases downtime.âś… KubeHA changes that. It brings logs, metrics, traces, events, alerts, and cluster changes into a single, unified view – correlated
Breaking Data Silos in Kubernetes & Cloud Ops Read More »
Support engineering has changed forever. In 2026, the difference between minutes vs hours of downtime is no longer access to dashboards –it’s the ability to reason across logs, metrics, traces, and events instantly. That’s where LLMs combined with Kubernetes telemetry become a game-changer. Why Traditional Support Breaks at Scale Modern Kubernetes environments generate: Millions of
The Support Engineer’s Secret Weapon: LLMs + Kubernetes Telemetry Read More »
Chaos Engineering has matured. It’s no longer about running a few failure experiments once a quarter and calling it “resilience testing.”In 2026, chaos engineering in production is about continuous validation of reliability guarantees. Modern systems demand it.  Why Chaos Engineering Must Move Into Production Pre-production environments no longer reflect reality: Traffic patterns are different
Chaos Engineering in Production: From Experiment to Continuous Practice Read More »
https://www.youtube.com/watch?v=-XmbS8xALXU Why to use KubeHA’s OTaaS (OpenTelemetry as a Service) for log monitoring?1. Single click start2. For faster troubleshooting at scale3. Horizontally scalable, highly available, multi-tenant log aggregation system4. Collects logs from any sources, any format5. Loki pre-integratedwww.kubeha.comhashtag#DevOps hashtag#sre hashtag#monitoring hashtag#observability hashtag#remediation hashtag#Automation hashtag#kubeha hashtag#IncidentResponse hashtag#AlertRecovery hashtag#prometheus hashtag#opentelemetry hashtag#grafana, hashtag#loki hashtag#tempo hashtag#trivy hashtag#slack hashtag#Efficiency hashtag#ITOps
Why to use KubeHA’s OTaaS (OpenTelemetry as a Service) for log monitoring? Read More »
Multi-cloud promises flexibility and vendor independence – but without governance, it quickly turns into uncontrolled cost growth and security blind spots. In 2025, most production outages and cloud bill shocks don’t come from outages – they come from governance failure. Here’s how modern SRE and Platform teams tackle it. 1. Why Multi-Cloud Breaks Without Governance
Multi-Cloud Governance: Preventing Cost Explosions and Security Gaps Read More »
