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Devops News
VentureBeat
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Speed is King: How Google’s $32B Wiz play rewrites DevOps security rules
- Google's acquisition of Wiz highlights the importance of speed in modern DevOps cycles while maintaining security.
- By acquiring Wiz, Google gains an AI-infused Cloud Native Application Protection Platform (CNAPP) to enhance threat detection and reduce false positives.
- Wiz's integration with Google will improve risk detection, threat intelligence, and automated remediation for cloud-based applications and models.
- Google's $32 billion investment signifies the urgency of AI-driven CNAPP platforms in fast-paced DevOps environments.
- With enterprises increasingly adopting multi-cloud strategies, Google needs to provide a true CNAPP tool with multi-cloud support after the acquisition.
- CNAPP plays a crucial role in helping DevOps teams reduce risks, block intrusions, and ensure secure CI/CD pipelines.
- Wiz's expansion into container security and software composition analysis positions it as a strong competitor in the application security space.
- Google's goal is to unify CNAPP solutions for end-to-end security from code to cloud, empowering faster development cycles.
- The global CNAPP market is projected to grow significantly, driven by the need for advanced cloud security solutions.
- Enterprises require AI-powered CNAPP platforms to streamline security processes and mitigate risks in multi-cloud environments.
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Dev
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384
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CockroachDB: live certificate rotation
- CockroachDB enables live certificate rotation in Kubernetes deployment, maintaining client connections without restarts.
- Automated certificate rotation requires updating secrets manually and reading them for CockroachDB.
- Identifying target pods with common labels enables the tool to refresh certificates automatically.
- The process involves deleting old certificates, saving new ones, adjusting permissions, and triggering a certificate reload.
- A SIGHUP signal notifies CockroachDB of certificate changes without disconnecting clients.
- Verification of updated certificates can be done through CockroachDB's admin console.
- YAML configurations and NodeJS automation script are available on GitHub for reference and implementation.
- It is recommended to collaborate with Cockroach Enterprise Architects for the initial certificate rotation.
- The automation process streamlines certificate management for CockroachDB in a containerized environment.
- Utilizing a NodeJS app, organizations can ensure a reliable and repeatable workflow for certificate rotation.
- Effective certificate rotation is crucial for maintaining security and compliance in a CockroachDB deployment.
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The New Stack
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KubeFleet: The Future of Multicluster Kubernetes App Management
- KubeFleet is a cloud native multicluster/multicloud solution designed to facilitate the deployment, management and scaling of applications across multiple Kubernetes clusters.
- Managing applications on multiple clusters increases operational complexity, but KubeFleet aims to streamline multicluster application management by providing advanced scheduling, resource optimization, and policy-based management.
- KubeFleet solves the challenges of multicluster deployment by offering a single control plane for deploying applications across multiple clusters and supporting metrics-based placement strategies.
- KubeFleet is now part of CNCF and is seeking involvement from cloud native practitioners to shape the future of multicluster application management.
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13 Likes
Medium
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34
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Decoding Privacy in DevOps: Why Understanding Technical Terms is Key
- Privacy policies often contain technical terms that are widely misunderstood.
- Misunderstanding technical terms can lead to serious vulnerabilities in DevOps.
- The contextual integrity approach can help analyze privacy policies based on appropriate information flow.
- Best practices for addressing privacy challenges in DevOps include prioritizing clarity, context, and continuous learning.
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Dev
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Image Credit: Dev
7 Must Read Tech Books for Experienced Developers and Leads in 2025
- In 2025, experienced developers and leads can benefit from reading a variety of tech books focusing on both technical and operational skills.
- Key points to keep in mind include learning from others' mistakes, enjoying the reading process, and continuously seeking self-improvement.
- Recommended books encompass various aspects such as automation, DevOps, microservices, team management, and site reliability engineering.
- The Phoenix Project is highlighted as a transformative read for altering mindset and enhancing programming skills.
- Building Microservices: Designing Fine-Grained Systems 2nd Edition is suggested for understanding the challenges and implementations of microservices.
- Team Topologies offers insights into managing and organizing development teams effectively for high performance.
- The Unicorn Project, a sequel to The Phoenix Project, provides valuable insights into technology business improvements while being an enjoyable read.
- Site Reliability Engineering shares Google's approach to high availability and operational excellence, offering practical advice for tech professionals.
- Accelerate: Building and Scaling High-Performing Technology Organizations focuses on measuring software delivery performance and driving higher team performance.
- Continuous Delivery is essential for those looking to implement CI/CD practices effectively for rapid and reliable software delivery.
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2 Likes
Medium
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148
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You, Too, Can Scale Postgres to 2 PB and 1 T Metrics per Day
- Timescale Cloud database service is now handling a trillion metrics daily and storing nearly two petabytes of data.
- This feat challenges the common belief that Postgres cannot scale effectively.
- The operation runs entirely on Timescale Cloud without special treatment or hidden infrastructure.
- The feature, Insights, provides detailed query analytics for Timescale Cloud users.
- Initially collecting a dozen metrics per query, the database now captures significantly more data points.
- The data volume has grown due to an expanding customer base, increased query loads, and enhanced metrics collection.
- Despite the massive growth in data and queries, the architecture largely remains the same as described in the original post.
- The use of continuous aggregates and tiered storage has helped to efficiently manage and query the vast amount of stored data.
- Timescale's tiered storage, hypertables, and continuous aggregates have enabled efficient scaling and processing of massive workloads.
- Insights has showcased that Postgres, when engineered for scale, can effectively handle immense workloads.
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8 Likes
Medium
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411
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Introduction to KCP?
- KCP is an open-source project that offers a Kubernetes-like control plane for managing applications across multiple clusters and environments.
- Unlike traditional Kubernetes clusters, KCP provides a control plane without being tied to specific nodes or pods, enabling platform engineers to build platforms and SaaS-like services using familiar Kubernetes API capabilities.
- KCP allows organizations to create multiple logical clusters within a single control plane, simplifying management and reducing overhead.
- By decoupling the control plane from the data plane, KCP offers a lightweight, scalable, and multi-tenant solution for efficient Kubernetes management.
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24 Likes
Dev
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Why Do Developers Struggle with Project Management? A Practical Guide to Finding the Right Tool
- Developers often struggle with traditional project management tools that disrupt their workflow with excessive meetings, rigid task structures, and poor integration with development tools.
- Teamcamp offers a developer-friendly project management solution that enhances focus, collaboration, and integrates seamlessly with development tools.
- Challenges faced by developers include excessive meetings, rigid workflows, poor integration with developer tools, lack of progress visibility, and inefficient communication between stakeholders.
- Teamcamp addresses these challenges by providing real-time collaboration, customizable workflows, seamless integration with tools like GitHub, and improved visibility into project progress.
- Teamcamp's features include streamlined project planning, real-time collaboration, customizable workflows, visual progress tracking, seamless integration with developer tools, and comprehensive solutions for different teams within an organization.
- Teamcamp stands out as the best project management software for developers due to its developer-centric approach, reducing administrative overhead, enhancing team collaboration, and offering customizable workflows.
- In 2025, choosing the right project management software is crucial, and Teamcamp is recommended for developers in a guide comparing the best tools available.
- Developers need tools that reduce administrative burden, integrate well with development tools, and allow flexible project tracking, all of which Teamcamp provides.
- Teamcamp empowers development teams to streamline workflows, improve collaboration, and boost productivity through its user-friendly interface.
- To address challenges in project management, developers can explore Teamcamp for efficient project planning, collaboration, customizable workflows, and integration with essential developer tools.
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14 Likes
Medium
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223
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How I Automated My Deployment Process Using GitHub Actions and Docker
- The article discusses how the author automated their deployment process using GitHub Actions and Docker.
- The author faced challenges with image sizes and handling environment variables, which they addressed using a multi-stage build process and ARG/ENV in the Dockerfile.
- GitHub Actions were organized in a clear and modular structure, with reusable custom actions and specific workflow files.
- Automating the deployment process with GitHub Actions and Docker improved workflow, minimized errors, and enhanced reliability and scalability.
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13 Likes
Dev
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275
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The Problem: PowerShell’s Hashing Illusion
- PowerShell lacks a reliable way to hash complex objects deterministically, causing issues in data comparison and integrity verification.
- Existing object hashing techniques in PowerShell often lead to false positives and false negatives.
- The search for a solid object hashing function in PowerShell yielded no satisfactory results, with most solutions focusing on file hashing.
- Common issues with object hashing in PowerShell include non-deterministic serialization, lack of standard approach, and performance inefficiencies.
- PowerShell's JSON-based hashing is flawed for complex objects due to issues with object structure preservation and type coercion.
- The importance of a reliable object hashing function in PowerShell is emphasized to avoid potential data discrepancies and errors.
- The DataHash class is introduced as a solution for structured and deterministic object hashing in PowerShell, addressing key limitations.
- Key features of the DataHash class include order-preserving serialization, support for complex data structures, and configurable hashing algorithms.
- The planned roadmap includes a v1.0 release of the DataHash class with enhanced capabilities and a future C# rewrite for v2.0 with parallelization.
- The v2.0 implementation aims for branch-slicing parallelization to improve hashing performance while maintaining determinism.
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16 Likes
Medium
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How to Write DevOps (Or Any Tech) Documentation That Actually Helps Your Team
- Good documentation is crucial for DevOps teams to avoid wasted time, frustration, and system failures.
- Writing good DevOps documentation is not as difficult as it seems.
- Outdated, unclear, and jargon-filled documentation can lead to major issues when problem-solving.
- Creating clear and up-to-date documentation can greatly benefit the efficiency of DevOps teams.
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17 Likes
Amazon
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368
Image Credit: Amazon
Run GenAI inference across environments with Amazon EKS Hybrid Nodes
- Amazon EKS Hybrid Nodes allow running generative AI inference workloads across cloud and on-premises environments, offering consistent management and reduced operational complexity.
- EKS Hybrid Nodes support various AI/ML use cases like real-time edge inference, on-premises data residency, and running inference workloads closer to source data.
- Proof of concept involved deploying a single EKS cluster for AI inference on-premises with EKS Hybrid Nodes and in the AWS Cloud with Amazon EKS Auto Mode.
- Prerequisites include setting up Amazon VPC, AWS Site-to-Site VPN connection, on-premises nodes with NVIDIA drivers, and tools like Helm, kubectl, eksctl, and AWS CLI.
- Steps include creating an EKS cluster with EKS Hybrid Nodes and Auto Mode enabled, preparing hybrid nodes, installing NVIDIA device plugin for Kubernetes, and deploying NVIDIA NIM for inference.
- Validating nodes connectivity, deploying GPU-specific solutions for Auto Mode, such as g6 instance family, and testing NIM for inference were part of the deployment process.
- Cleanup steps were outlined to avoid long-term costs, and the post emphasized how EKS Hybrid Nodes simplify AI workload management by unifying Kubernetes footprint.
- For more detailed guidance, users are directed to the EKS Hybrid Nodes user guide and re:Invent 2024 session (KUB205) explaining hybrid nodes functionality, features, and best practices.
- Explore the Data on EKS project for further information on running AI/ML workloads on Amazon EKS.
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Hashicorp
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346
Image Credit: Hashicorp
Disaster recovery strategies with Terraform
- The Ponemon Institute study in 2016 reported an exponential rise in the total cost of unplanned outages, emphasizing the need for robust disaster recovery strategies.
- EMA Research's 2022 study indicated a mean total cost per minute of unplanned outages to be $12,900, underlining the importance of effective disaster recovery plans.
- Maintaining disaster recovery solutions can be costly and time-consuming, with expenses ranging from hundreds of thousands to millions of dollars annually for enterprises.
- Leveraging infrastructure as code (IaC) like HashiCorp Terraform can simplify the setup, testing, and validation of disaster recovery environments, ensuring cost-efficiency and consistency.
- Key concepts like Recovery Time Objective (RTO) and Recovery Point Objective (RPO) play a vital role in shaping an organization's disaster recovery strategy.
- Popular disaster recovery strategies include Backup & Data Recovery, Pilot Light, Active/Passive, and Multi-Region Active/Active, each varying in complexity and cost.
- Using Terraform within disaster recovery strategies offers automation, repeatability, scalability, cost efficiency, and flexibility in infrastructure provisioning and maintenance.
- Terraform's advantages include minimizing manual interventions, ensuring infrastructure consistency, scalability as needed, reduced infrastructure costs, and multi-cloud support.
- Terraform can be integrated with various disaster recovery strategies such as Backup & Data Recovery, Pilot Light, Active/Passive, and Multi-Region Active/Active to enhance operational efficiency.
- The example illustrated in the article showcases how Terraform can be applied to conduct a region failover within AWS for a web server, demonstrating the practicality and benefits of using Terraform in disaster recovery scenarios.
- Considerations like application install time, DNS propagation delays, and the need for separate backup strategies should be taken into account when utilizing Terraform for disaster recovery infrastructure.
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20 Likes
Solarwinds
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368
Image Credit: Solarwinds
What Kind of Diagnostic AIOps Is Right for Your Organization?
- Diagnostic AIOps involves providing critical information about IT environments for informed decision-making.
- Anomaly detection systems can help organizations in efficient monitoring and prompt issue resolution for large data processing.
- Event correlation systems group related alerts to enhance identification and resolution of underlying issues efficiently.
- Root cause analysis systems utilize machine learning to find the source of IT issues, leading to a more stable IT environment.
- Predictive analytics systems use past data to anticipate issues, minimize downtime, and optimize resource allocation for enhanced operational efficiency.
- Integrated AI-powered tools in IT management improve decision-making, collaboration, and overall IT management processes.
- Considerations for integrating diagnostic AIOPS include scalability, diverse contexts, necessary computing resources, model accuracy, and associated costs.
- AI assistance is increasingly crucial in managing complex IT environments, and organizations need to determine the best deployment approach.
- Next article in the series will focus on assistive AIOps, while emphasizing how AI is influencing tech recruitment.
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22 Likes
Solarwinds
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Image Credit: Solarwinds
Get Ready for SolarWinds Day: The Era of Operational Resilience
- SolarWinds Day is an event focused on discussing operational resilience and addressing the challenges of complexity in IT environments.
- Organizations struggle to keep operations running smoothly and lack full-stack observability due to fragmented monitoring tools.
- The event will introduce Squadcast, an AI-powered incident management and collaboration tool, to enhance IT operations.
- SolarWinds Day aims to explore the future of IT management, combining operational resilience and cutting-edge technology.
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