Join us

ContentUpdates from Siemens Gamesa Renewable Energy...
Link
@kaptain shared a link, 4 weeks, 2 days ago
FAUN.dev()

AWS Load Balancer Controller Reaches GA with Kubernetes Gateway API Support

AWS ships GAGateway APIsupport in theAWS Load Balancer Controller. Teams can manageALBandNLBwith the SIG standard. The controller swaps annotation JSON for validated CRDs -TargetGroupConfiguration,LoadBalancerConfiguration,ListenerRuleConfiguration- and handles L4 (TCP/UDP/TLS) and L7 (HTTP/gRPC). M.. read more  

AWS Load Balancer Controller Reaches GA with Kubernetes Gateway API Support
Link
@kaptain shared a link, 4 weeks, 2 days ago
FAUN.dev()

jsongrep is faster than {jq, jmespath, jsonpath-rust, jql}

This article introduces a tool called jsongrep, explains the internal search engine it uses, and outlines the benchmarking strategy used to compare its performance with other JSON path-like query tools. The tool parses the JSON document, constructs an NFA from the query, determinizes the NFA into a .. read more  

jsongrep is faster than {jq, jmespath, jsonpath-rust, jql}
Link
@kaptain shared a link, 4 weeks, 2 days ago
FAUN.dev()

Trivy Hack Spreads Infostealer via Docker, Triggers Worm and Kubernetes Wiper

Cybersecurity researchers found malicious artifacts distributed via Docker Hub after the Trivy supply chain attack. Malicious versions 0.69.4, 0.69.5, and 0.69.6 of Trivy were removed from the image library. Threat actor TeamPCP targeted Aqua Security's GitHub organization, compromising 44 repositor.. read more  

Trivy Hack Spreads Infostealer via Docker, Triggers Worm and Kubernetes Wiper
Link
@kaptain shared a link, 4 weeks, 2 days ago
FAUN.dev()

Deploying Disaggregated LLM Inference Workloads on Kubernetes

In large language model (LLM) inference workloads, a single monolithic serving process can hit its limits due to different compute profiles for prefill and decode stages. Disaggregated serving splits the pipeline into distinct stages to better utilize GPU resources and scale more flexibly on Kuberne.. read more  

Deploying Disaggregated LLM Inference Workloads on Kubernetes
Link
@kaptain shared a link, 4 weeks, 2 days ago
FAUN.dev()

A one-line Kubernetes fix that saved 600 hours a year

Atlantis, a tool for planning and applying Terraform changes, faced slow restarts of up to 30 minutes due to a safe default in Kubernetes that became a bottleneck as the persistent volume used by Atlantis grew to millions of files. After investigation, a one-line change to fsGroupChangePolicy reduce.. read more  

A one-line Kubernetes fix that saved 600 hours a year
Link
@kala shared a link, 4 weeks, 2 days ago
FAUN.dev()

What 81,000 people want from AI

Anthropic used a version of Claude to interview 80,508 users across 159 countries and 70 languages - claiming the largest qualitative AI study ever conducted. The top ask wasn't productivity, it was time back for things that matter outside of work. The top fear was hallucinations and unreliability. .. read more  

What 81,000 people want from AI
Link
@kala shared a link, 4 weeks, 2 days ago
FAUN.dev()

Building a digital doorman

Larson runs a dual-agent system. A tiny public doorman,nullclaw, lives on a $7 VPS. A private host,ironclaw, runs over Tailscale. Nullclaw sandboxes repo cloning. It routes heavy work to ironclaw viaA2AJSON‑RPC. It enforcesUFW, Cloudflare proxying, and single‑gateway billing... read more  

Building a digital doorman
Link
@kala shared a link, 4 weeks, 2 days ago
FAUN.dev()

Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment

Last quarter, a mid-sized insurance company struggled to deploy an AI agent that collapsed in production due to cognitive overload. Enterprises are facing similar challenges when building single-agent AI systems and are moving towards multi-agent architectures to distribute responsibilities effectiv.. read more  

Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment
Link
@kala shared a link, 4 weeks, 2 days ago
FAUN.dev()

How OpenAI Codex Works

Engineering leaders report limited ROI from AI, often missing full lifecycle costs. OpenAI's Codex model for cloud-based coding required significant engineering work beyond the AI model itself. The system's orchestration layer ensures rich context for the model to execute tasks effectively... read more  

Link
@kala shared a link, 4 weeks, 2 days ago
FAUN.dev()

Inside our approach to the Model Spec

OpenAI introduces Model Spec, a formal framework defining behavioral rules for their AI models to follow, aiming for transparency, safety, and public insight. The Model Spec includes a Chain of Command to resolve instruction conflicts and interpretive aids for consistent gray area decisions, emphasi.. read more  

Inside our approach to the Model Spec
It takes the brightest minds to be a technology leader. It takes imagination to create green energy for the generations to come. At Siemens Gamesa we make real what matters, join our global team.

Siemens Gamesa has a vision for renewable energy: we believe in the power of nature and technology. Help us to be ready to face the energy challenges of tomorrow and make a green footprint – join the team in creating a better future for us on our planet.

We focus on hiring the best people, wherever they may be in the world. We pride ourselves on the flexibility we offer to our employees and are committed to building a workforce that can grow with the company. Siemens Gamesa is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

In our culture of trust, we focus on empowerment, diversity and continuous learning. Valuing our people is what makes us one global team, with our colleagues’ safety at the heart of our organization.

Read stories from our employees, and get to know your future team: https://www.sebrochure.dk/Siemens_Gamesa_Renewable_Energy/WebView/

How to contribute to our vision

For our DevOps team within the Software Solutions division we are looking for a skilled DevOps Engineer to join our growing, and dedicated DevOps team. In the department, we are responsible for the SW test strategy, the enforcement of it, and the creation and maintenance of build- and test environments in which automated tests are executed. This involves both HIL setups and small to large virtual environments, thus handling both the hard real-time and large scalability requirements. We operate 2 data centers and 2 test labs.

The introduction of Continuous Delivery is a strategic goal of the department; our team has been given the responsibility of introducing it. You will join an inspiring and high performing multinational team.

As DevOps Engineer, your tasks and deliverables are mainly lead the development teams’ transformation to Continuous Delivery, i.e. implement their Chef based server stack, create the QA part of the Jenkins pipeline. The product and system level tests are run in either a VM environment or the physical HW. You will manage and optimize the utilization of these environments while reducing bottlenecks in the delivery pipelines.

Together with the rest of the DevOps team you develop state of the art SW tools and make the decision proposals. You implement these tools in the development projects for them to move faster. As member of the DevOps team you carry the operational responsibility of these tools.

You act as the technical expert across multiple development projects helping them in keeping their delivery pipeline running. The projects range from deeply embedded controllers over large SCADA server systems to central fleet management systems. Together with the rest of the DevOps team you ensure the operational side of our large HW and VMware test environment.

You will implement parts of our cybersecurity strategy by implementing relevant verifications in the pipelines and ensure a short lead time.

What you need to make a difference

Passion for renewable energy and a sense for the importance to lead the change.  We are looking for you, who wants to make real what matters and who wants to change the world towards renewable energy.

The ideal candidate holds an academic degree in IT, Computer Science or similar in combination with thorough practical experience with

Continuous Integration/Delivery and DevOps
Applying agile software development practices (e.g. SAFe & SCRUM)
GitLab, Gitflow, Artifactory, Jenkins, Docker, Kubernetes and Chef
You have strong DevOps understanding of the state of the art build and code level QA tolls for C#, C++ and web development.
You have basic knowledge of BDD, Cucumber - Ruby.
You are not afraid of asking questions and taking the lead in developing the team, methods and frameworks.

Most importantly is your passion for continuous delivery and smooth operations in larger organizations. You have a high professional competency and you have a desire to develop your skills. You have good collaboration skills and you can manage to act in different cultural contexts. To thrive in this position, you must have a strong result- and customer-oriented approach.

In return of your commitment we offer you…

Become a part of our mission for sustainability: Clean energy for generations to come. We are a global team of diverse colleagues who share a passion for renewable energy and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization. Siemens Gamesa offers a wide variety of benefits such as flexible working hours as well as home-office possibility for many colleagues, employer-funded pension, attractive remuneration package (fixed/variable) and local benefits such as subsidized lunch, employee discounts and much more.

Empowering our people

https://www.siemensgamesa.com/sustainability/employees

#Associate

How do you imagine the future?

https://youtu.be/12Sm678tjuY

Our global team is on the front line of tackling the climate crisis, reducing carbon emissions – the greatest challenge we face.