Hystax

08/25/2026

Next week, Hystax will be at LEAP 2026 in Riyadh! 🇸🇦

From August 31 to September 3, we’d be happy to meet in person. If you’re attending, let’s connect, exchange ideas, talk about your projects and plans, and discuss KVM backup, cloud migration, disaster recovery, AI ROI and governance.

📅 Book a meeting with the Hystax team through the LEAP networking app:
https://connect.onegiantleap.com/event/leap2026/person/RXZlbnRQZW9wbGVfNDQ3MTkzOTc=

See you in Riyadh!

08/18/2026

For MSPs, delivering Disaster Recovery and Backup to multiple customers is as much an operational challenge as a technical one. As the customer base grows, tenant isolation, onboarding, access control, reporting, and day-to-day management all need to scale with it.

In this webinar replay, we look at how Hystax Acura supports multi-tenant Disaster Recovery and Backup operations for Managed Service Providers. ▶️ https://youtu.be/TEXg_1ZHfCM

The session covers:

✅ Multi-tenant architecture – customer isolation, target cloud assignment, roles, and permissions

✅ White-label branding – configure Acura at the partner level and deliver it under your own brand

✅ MSP reporting and license tracking – customer-level storage consumption, usage breakdowns, and DR reports

✅ Partner training and enablement – onboarding resources and certification options for MSP teams

The replay also includes a live technical demo of the partner workflow: creating and configuring a customer account, assigning a target cloud, setting up role-based access, running a DR test, and generating MSP-level license and storage reports. If you’re working on making multi-customer DR and Backup services easier to operate and scale, this session may be useful.

▶️ Watch the replay: https://youtu.be/TEXg_1ZHfCM

08/14/2026

🚀 Hystax Acura 4.6 is live.🚀

This release focuses on making replication and disaster recovery more flexible across different infrastructure environments.
Here’s what’s new:

🔹 Storage-agnostic OpenStack changed blocked tracking – incremental replication without dependency on direct Ceph access, with CBT handled at the QEMU/KVM layer

🔹 Direct2Target (D2T) for disaster recovery – support for DR scenarios where target platform API integration is unavailable

🔹 Receiver Mesh for D2T – direct data transfer from Replication Agents to D2T Agents

🔹 More D2T Agent formats – raw, qcow2, VMDK, OVA, and ISO

🔹 PostgreSQL – Acura’s internal database has moved from MariaDB to PostgreSQL

🔹 Broader compatibility – thick-provisioned disks for VMware targets and support for RHEL 9.8, RHEL 10.2, and Ubuntu 26.04

🔹 Backup and security updates – File Backup Agent performance and stability improvements, plus general security updates

Acura 4.6 is less about a single major feature and more about reducing infrastructure dependencies, expanding recovery options, and modernizing the underlying platform.

➡️ Read the full release overview: https://hystax.com/hystax-acura-4-6-release/?utm_source=socials&utm_medium=facebook&utm_campaign=Acura_release_4.6

08/12/2026

Your biggest AI agent risk may be one nobody formally approved.
It can spend money, call tools, access data, and make decisions – while remaining almost invisible to the teams responsible for governing it.

That’s the problem with “shadow AI agents.”

A prototype quietly makes its way into production. A team connects an agent to a workflow to meet a deadline. Or a vendor embeds one inside a tool you already use.
Everything may look normal – until costs start growing, tasks never finish, data crosses unexpected boundaries, or actions happen without clear approval.

Traditional monitoring doesn’t always reveal these problems because the agent can still be technically “working.” The first challenge isn’t adding another guardrail. It’s knowing which agents are actually running – and what they’re doing.

We explore the risks, common failure patterns, and practical controls in the article:
https://optscale.ai/blog/shadow-ai-agents/?utm_source=socials&utm_medium=facebook&utm_campaign=shadow_ai_agents

08/06/2026

An AI agent can keep spending money while every dashboard still shows green.

No errors. No timeouts. Just successful calls without meaningful progress.

A runaway agent may repeatedly call the same tool, drift away from its original task, or create more and more sub-tasks through uncontrolled recursion.

The problem is that traditional monitoring often sees this as normal activity. To understand whether an agent is actually working effectively, teams need to look at different signals:

🔹 Is it progressing toward the original goal?
🔹 Is it repeating the same actions?
🔹 Is token usage increasing without a completed result?
🔹 Is the number of sub-tasks continuing to grow?

Our latest article explores loops, drift, and recursion, the metrics that can reveal them, and why detecting a runaway agent is only part of the solution.

Could your current monitoring distinguish a productive agent from one that is simply staying busy?

Read the article:
https://optscale.ai/blog/runaway-agents-loops-drift-recursion/?utm_source=socials&utm_medium=facebook&utm_campaign=runaway_agents

08/04/2026

💡 Object storage helps control backup costs. Block storage helps infrastructure recover faster. The challenge is that many backup and disaster recovery strategies still force teams to choose between the two. ▶️ https://youtu.be/k5D06lo2RI4

In this webinar replay, we look at how Double Storage in Hystax Acura software combines object and block storage into a single backup strategy.

The session covers:
🔹Where object and block storage fit in backup and disaster recovery
🔹How storage choice affects recovery speed, replication, and cost
🔹Why using only one storage type can create operational trade-offs
🔹How Double Storage keeps long-term backups in object storage while maintaining recent snapshots in block storage
The replay also includes a live technical demo showing how backups are created, how snapshots are placed across both storage types, and how infrastructure can be recovered quickly when needed.
➡️ Watch the replay: https://youtu.be/k5D06lo2RI4

In this Hystax webinar, we will show how to combine the speed of bl...

07/30/2026

Having cloud cost data isn't enough. Understanding where it can be optimized is much harder.

That's exactly why we built OptScale – our open-source FinOps and cloud cost optimization platform. It helps engineering, FinOps, and finance teams gain actionable visibility into cloud infrastructure and Kubernetes costs, identify waste, and make optimization decisions based on real usage data.

Some of the OptScale platform capabilities include:
🔹 Multi-cloud cost visibility across AWS, MS Azure, GCP, Alibaba Cloud, and Kubernetes
🔹 Cost optimization recommendations for idle and overprovisioned resources
🔹 Kubernetes cost allocation and workload-level insights
🔹 Budgets, anomaly detection, governance, and automation
🔹 Databricks and object storage cost analytics
OptScale is completely open source, and we're continuously improving it together with the community.

📂 Explore the project on GitHub: https://github.com/hystax/optscale
*** 💼 If you find the project useful – or simply support open-source FinOps initiatives – we'd really appreciate a ⭐ on GitHub. Every star helps more practitioners discover the project and supports its continued development. ***

If you'd like to learn more about FinOps principles and cloud cost optimization, we've also put together a practical overview here:
https://hystax.com/optscale/finops-overview/?utm_source=socials&utm_medium=facebook&utm_campaign=overview_page

07/29/2026

Choosing a VMware alternative is only part of the challenge.

Organizations also need a reliable way to move production workloads, test the new environment before cutover, and protect workloads after migration.

👉Although we published this overview some time ago, the questions it covers remain highly relevant. The article compares VMware alternatives, including KVM-based platforms such as OpenStack, OpenNebula, oVirt, KubeVirt, Red Hat OpenShift Virtualization, and others.

📕Read the article:
https://hystax.com/vmware-alternatives-migration-2025/?utm_source=socials&utm_medium=facebook&utm_campaign=vmware_alternatives&utm_term=hystax_post

At Hystax, we develop enterprise-grade migration, disaster recovery, and backup software for KVM-based platforms, helping organizations automate workload replication, perform non-disruptive test migrations, and reduce cutover risks.

Learn more about cloud migration with Hystax:
https://hystax.com/cloud-migration/?utm_source=socials&utm_medium=facebook&utm_campaign=overview_page

07/23/2026

🔖 KVM is often described as an alternative to VMware.
But KVM is not a single product – it is the virtualization foundation behind several very different enterprise platforms.

Interest in these platforms is growing as organizations reassess their virtualization strategies. A 2026 CloudBolt survey found that 86% of respondents were reducing their VMware footprint, while only 4% had completed a full migration – a good reminder that infrastructure transitions are usually gradual and complex.

✅ In our recent article, we explain:
🔹what KVM is and how it works
🔹the roles of KVM, QEMU, libvirt, and Virtio
🔹how KVM-based platforms compare with VMware
🔹the differences between OpenStack, OpenShift Virtualization, OpenNebula, Proxmox VE, Nutanix AHV, and other options
🔹how these platforms can be used for migration, disaster recovery, and backup

The goal is not to suggest that every organization should replace VMware. It is to help infrastructure teams understand where KVM fits, what choices are available, and what should be evaluated before moving production workloads.
Read the article: https://hystax.com/kvm-virtualization/?utm_source=socials&utm_medium=facebook&utm_campaign=kvm_virtualization&utm_term=hystax_post

👉 Planning a move to KVM?
Or evaluating disaster recovery and backup options for your environment? Share your requirements with the Hystax team, and we’ll help you assess the most suitable approach.
Contact Us: https://hystax.com/contact-us/?utm_source=socials&utm_medium=facebook&utm_campaign=kvm_virtualization&utm_term=hystax_post

07/20/2026

AI cost visibility is only the first step. Now the OptScale AI platform helps reduce waste before tokens are billed.

As AI usage grows across teams, products, internal tools, and AI agents, organizations need more than dashboards showing spend after it happens. They need ways to understand AI usage, reduce unnecessary token consumption, manage access, and keep AI costs under control without slowing teams down.

That is where the latest OptScale AI updates are focused.
What’s new:
🔹 Lossless Token Compression: up to 97% fewer billed tokens
OptScale AI now combines a compression engine, system-prompt trimming, LLM cache alignment, and smart model selection to reduce unnecessary token consumption.
On eligible long-context, high-repetition workloads, these techniques can reduce the number of tokens billed at full rate by up to 97%.
🔹 Advanced AI cost optimization
The Optimizations page now supports reversible prompt compression, projected savings, and request-level traces with object-level filtering – helping teams find specific cost-saving opportunities and act on them faster.
Together with lossless token compression and smarter routing, these capabilities can help lower overall AI spend by up to 60%, depending on workload and usage patterns.
🔹 Richer cost visibility and usage controls
Cost & Usage dashboards now provide deeper visibility across organization, team, and principal levels.
Admins can also manage access through Invites, enable or disable individual models per provider and employee virtual key, and set budgets and rate limits at the organization, team, employee, and provider levels.
🔹 A better AI Chat experience
AI Chat is now more responsive, with document attachment and processing, an import flow for moving from another AI provider, and clearer guidance for connecting external tools. OptScale AI is evolving into a practical control layer for AI adoption: helping teams see where AI spend goes, reduce token waste, and manage usage more effectively.

Explore what’s new in Live Demo mode: https://my.optscale.ai/live-demo/?utm_source=socials&utm_medium=facebook&utm_campaign=OptScale_AI_updates&utm_term=Hystax_page

Have questions or thoughts on AI cost optimization? Leave a comment below – we’d be happy to discuss.