How to Get Grafana Iframe Embedding Right
Know how to securely embed Grafana dashboards using iframes, covering auth, config, performance, and monitoring with Last9.
Updates and recent posts about AIStor.. Link
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@mashka shared a link, 11ย months, 1ย week ago
Paid Acquisition and Growth Marketing, xygeni
Are You Worried About Passing an Audit or Staying Compliant? Join Our Next SafeDev Talk
Hi everyone! If youโre working in AppSec, DevSecOps, or compliance and wondering how to prove your security controls work, this talk is for you.
Weโre hosting a free, live SafeDev Talk on how to build a real audit-ready AppSec aligned with ISO, NIST, CRA, and more. No fluff, just practical insights from security leaders working across cloud, compliance, and engineering.
๐๏ธ July 23 | ๐ 17:00 CEST / 11:00 EDT
Hope to see you there !
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@laura_garcia shared a post, 11ย months, 1ย week ago
Software Developer, RELIANOID
๐ We're proud to be featured on ๐๐ป๐๐ฒ๐ฟ๐ฒ๐๐๐ถ๐ป๐ด๐๐ฎ๐ฐ๐๐.๐ผ๐ฟ๐ด!
Their latest article โ โ๐๐ช๐ฎ๐ฑ๐ญ๐ช๐ง๐บ๐ช๐ฏ๐จ ๐๐ฐ๐ข๐ฅ ๐๐ข๐ญ๐ข๐ฏ๐ค๐ช๐ฏ๐จ: ๐๐ฉ๐ฆ ๐๐ฐ๐ธ๐ฆ๐ณ ๐ฐ๐ง ๐๐ข๐ด๐บ ๐๐ฐ๐ข๐ฅ ๐๐ข๐ญ๐ข๐ฏ๐ค๐ฆ๐ณ๐ด ๐ช๐ฏ ๐๐ถ๐ช๐ญ๐ฅ๐ช๐ฏ๐จ ๐ข ๐๐ฐ๐ณ๐ฆ ๐๐ฆ๐ญ๐ช๐ข๐ฃ๐ญ๐ฆ ๐๐ฏ๐ง๐ณ๐ข๐ด๐ต๐ณ๐ถ๐ค๐ต๐ถ๐ณ๐ฆโ โ highlights how RELIANOID is making robust, secure, and scalable application delivery accessible to everyone. Big thanks to the team at InterestingFacts.org for recogniz..
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@anjali shared a link, 11ย months, 1ย week ago
Customer Marketing Manager, Last9
What is Log Loss and Cross-Entropy
Log loss and cross-entropy are core loss functions for classification tasks, measuring how well predicted probabilities match actual labels.
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@laura_garcia shared a post, 11ย months, 1ย week ago
Software Developer, RELIANOID
๐ฆ What Is a Load Balance Router?
A Load Balance Router distributes network traffic across multiple pathsโlike servers or internet linksโto optimize performance and ensure high availability. ๐ Key Features: Dynamic traffic distribution High availability & failover Scalability on demand Protocol support (BGP, OSPF) Health checks & mo..
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@anjali shared a link, 11ย months, 1ย week ago
Customer Marketing Manager, Last9
Cloud Log Management: A Developer's Guide to Scalable Observability
Centralized logging helps you debug faster, scale smarter, and cut through noise. Here's how to get it right from the start.
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@laura_garcia shared a post, 11ย months, 1ย week ago
Software Developer, RELIANOID
๐ What is Border Gateway Protocol (BGP)?
BGP is the backbone of the internet โ and itโs powering RELIANOIDโs advanced routing strategy. In our latest blog, we cover: โ eBGP for datacenter & edge connectivity โ iBGP for intra-datacenter load balancing โ How to build global clusters without GTM, GSLB, or DNSLB โ Real-world BGP use cases & se..
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@anjali shared a link, 11ย months, 1ย week ago
Customer Marketing Manager, Last9
How to Get Logs from Docker Containers
Learn how to access, filter, and monitor Docker container logs, plus tips for structured logging, rotation, and production-ready setups.
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@anjali shared a link, 11ย months, 1ย week ago
Customer Marketing Manager, Last9
Improve Consistency Across Signals with OTel Semantic Conventions
Correlate logs, metrics, and traces faster by using consistent field names and schemas with OpenTelemetry semantic conventions.
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@anjali shared a link, 11ย months, 1ย week ago
Customer Marketing Manager, Last9
How Replicas Work in Kubernetes
Understand how Kubernetes uses replicas to ensure your application stays available, handles traffic spikes, and recovers from pod failures automatically.
At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.
AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.
Security and enterprise readiness are central to AIStorโs design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.
AIStor is positioned as a platform that unifies diverse data workloads โ from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets โ within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.
