Remota: The mRemoteNG Alternative for Linux
mRemoteNG never had a Linux release. Remota is the native open-source alternative — SSH, RDP, VNC and Telnet in tabs, encrypted vault, self-hosted relay.
Technical insights, playbooks and field notes from our engineering team — DevSecOps, Kubernetes, AI operations and cloud at scale.
mRemoteNG never had a Linux release. Remota is the native open-source alternative — SSH, RDP, VNC and Telnet in tabs, encrypted vault, self-hosted relay.
Free ChatGPT has no DPA, so pasting customer data breaches GDPR Article 28 and EU AI Act Article 4. Two compliant fixes you can ship this week.
In a pen test we emailed the finance team as the CEO and Office 365 let it through. How the attack works, and the 15-minute DNS fix that stops it.
India gives you 6 hours to report a breach, the EU 72. Compare GDPR, NIS2, LGPD and DPDPA, then build one baseline that satisfies all of them.
A 12-hour gap turns a 30-second question into a 24-hour wait. Portugal gives US teams 4-5 overlap hours, GDPR cover and lower delivery cost.
Vet for async skills, ship a PR in week one, protect the overlap window. The playbook US teams use to make European nearshore hires deliver.
Rework, management overhead, timezone friction and 30% turnover erase the $25/hour advantage. Measure cost per story point, not cost per hour.
Team extension needs your managers, a squad needs your product owner, a managed team needs neither. Match the model to your internal capacity.
An 8-point framework for vetting European nearshore partners: retention data, overlap hours, certifications, contract terms and the red flags.
Build Kubernetes security in from day one: image scanning, admission policies, runtime detection. Real pipeline examples and tools that scale.
Right-sizing, spot pools, quotas, HPA tuning, off-peak scaling and cost SLIs: seven SRE practices that cut spend 40-60% without breaking SLOs.
Manual cluster audits drift before you finish them. Automate CIS, SOC2, ISO 27001 and HIPAA with admission control and continuous evidence collection.
Twelve rules we enforce in code review and CI: single-purpose functions, typed errors, behavior tests, dead code deleted, standards automated.
Describe the symptom, get a diagnosis in seconds instead of 15 kubectl commands. What AI ops does well today, and the guardrails you must set.
GKE for Kubernetes, GCP for ML, Azure for Microsoft shops, AWS for breadth. Price gaps are only 10-20%, so capability and team skills decide.
Alert on user-facing symptoms, not CPU. Three severity tiers, smart routing, deduplication and a monthly review that keeps noise out of 3am.
Price technical debt in deployment frequency, change failure rate, MTTR and attrition, then take the numbers to your CFO with a paydown plan.
Over 60% of cloud spend is wasted. Seven strategies: right-sizing, commitments, spot, zombie hunts and the FinOps habits that keep bills down.
HCL or real code: Terraform wins on modules and talent pool, Pulumi on dynamic logic and unit tests. Choose by who maintains it in two years.
Golden paths, self-service provisioning and a Backstage portal. Team composition, a 90-day starter plan, and the mistakes that kill adoption.
Rancher provisions clusters but will not correlate alerts or prove compliance. Where SRExpert adds AI ops, security posture and cost visibility.
Zero to SOC2 Type II in 12 weeks: scope, controls, policies, evidence. What it really costs, $30-80K, and the traps that delay your first audit.
Make Git the control plane: ArgoCD reconciliation, Trivy image gates, admission policies. Build a CI/CD pipeline with security at every stage.
Multi-cloud costs 20-40% more and triples ops load. Buy portability instead: containers, Terraform, data exports. When a second cloud pays off.
Clusters run at 15-25% utilization. Right-sizing, spot nodes, HPA and FinOps habits that cut Kubernetes bills 30-50%. Start with the quick wins.
Case study: a $38K EKS bill cut to $20K a month. Right-sizing, Karpenter spot pools, off-hours scaling and Savings Plans, with zero downtime.
RAG architecture, versioned prompts, guardrails and token budgets: the patterns that turn an LLM demo into a reliable enterprise system at scale.
Correlation, anomaly detection and prediction cut alert volume 70-80% and MTTR by 60%. Follow the 90-day roadmap to get AIOps into production.
ML correlation groups cascading alerts into one incident, cutting volume 70-80% and MTTR 40-60%. Start with your noisiest service and measure.
Five phases from inventory to optimization: workload classification, landing zone, wave-based cutover, rollback plans. Skip the common pitfalls.
Keep ITIL incident and problem management, add DevOps automation and observability. Classify changes by risk so standard deploys skip the CAB.
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