# operational Published articles for operational. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Rise of the Knowledge Engineer DevFeed: [Rise of the Knowledge Engineer]() Original publisher: [Read original article]() Author: David Isquick Published: 2026-09-16T00:00:00Z Content type: article Language: en Sources: [Mintlify Blog]() Topics: [Documentation](), [Artificial Intelligence](), [AI-assisted coding](), [Users]() Tags: [agents](), [ai](), [ai-trends](), [api](), [developers](), [documentation](), [knowledge-base](), [operational](), [source-of-truth](), [support](), [workflows]() ### AI overview The article examines the rise of the knowledge engineer as companies increasingly serve AI agents that read documentation, compare products, solve support problems, and perform tasks. It argues that organizations need operating systems and processes to keep knowledge accurate, accessible, consistent, and retrievable, because incorrect information can spread through generated code, support responses, and automated workflows. ### Source excerpt Agents are one of the largest audiences for company knowledge, accounting for 66% of measured web traffic across documentation powered by Mintlify. The emerging role responsible for keeping that knowledge accurate and retrievable is the knowledge engineer. ## Australia's Essential Eight replacement shifts cybersecurity compliance toward continuous exposure management DevFeed: [Australia's Essential Eight replacement shifts cybersecurity compliance toward continuous exposure management]() Original publisher: [Read original article]() Author: Ben Mudie Published: 2026-09-15T13:32:00Z Content type: article Language: en Sources: [Tenable Blog]() Topics: [Exposure Management](), [Cybersecurity](), [Security](), [Cloud](), [App]() Tags: [australia](), [ciso](), [cloud](), [compliance](), [cybersecurity](), [enterprise](), [essential-eight](), [exposure-management](), [identity](), [operational](), [organization]() ### AI overview The article describes Australia's replacement of the Essential Eight with an outcomes-focused cybersecurity framework covering enterprise IT, cloud, operational technology, and potentially agentic AI. It argues that organizations will need continuous evidence of their security posture, and presents exposure management as a way to identify and prioritize weaknesses and support current posture validation. ### Source excerpt Australia's move from the Essential Eight to an outcomes-based cybersecurity model will push organizations from conducting periodic point-in-time, checklist compliance assessments to having continuous evidence of a solid security posture. Key takeaways The Australian Signals Directorate (ASD) is moving from the Essential Eight cybersecurity framework to a new outcomes-focused Essentials series covering enterprise IT, cloud, operational technology (OT), and potentially agentic AI. The Essential Eight itself only ever covered on-premises enterprise IT, built around eight named technical controls, such as application control and patching. It never extended to the security of cloud, identity, or OT. The shift challenges the traditional checklist approach to cybersecurity, where organizations demonstrate compliance through periodic assessments and point-in-time reports. In dynamic environments spanning IT, cloud, identity, and OT, security posture can change quickly and repeatedly between assessments. Exposure management can help organizations continuously understand where they are exposed, prioritize the most critical weaknesses, and provide evidence of their current security posture. ASD's strategic shift to active security posture validation Can you prove your security posture is solid, right now, on demand? That's the question the Australian Signals Directorate (ASD) has effectively put in front of every Australian organization's board, CISO, and C-suite. ASD's decision to retire the Essential Eight signals a fundamental move away from point-in-time, checklist-based security toward an outcomes-focused model where organizations will need to demonstrate continuous compliance. It's no longer enough to show that your organization had a control in place at the time of the last assessment. In a technology environment that changes continuously across IT, cloud, identity, and operational technology (OT), organizations must be able to answer a much more immediate question: Ho ## LF Energy Expands Global Energy Ecosystem with New Members, Open Source Projects and Technical Milestones DevFeed: [LF Energy Expands Global Energy Ecosystem with New Members, Open Source Projects and Technical Milestones]() Original publisher: [Read original article]() Author: andrewb@proximabiz.com (The Linux Foundation) Published: 2026-09-15T07:00:01Z Content type: news Language: en Sources: [Linux Foundation - Blog]() Topics: [Open Source](), [releases](), [Software](), [Benchmark](), [Artificial Intelligence]() Tags: [energy](), [global](), [infrastructure](), [open-source](), [operational](), [projects](), [security](), [technical]() ### AI overview LF Energy announced new general members, four open source technical projects, and milestones across its project portfolio. The article highlights growing adoption of open source tools for digital energy infrastructure, grid management, asset management, operational security, and interoperability, along with more than 30% year-over-year growth in LF Energy Summit registration. ### Source excerpt Expanded membership, new open source grid tools and portfolio advancements highlight industry commitment to shared digital energy infrastructure ## How to operate shared platforms safely at agent scale DevFeed: [How to operate shared platforms safely at agent scale]() Original publisher: [Read original article]() Author: Candace Shamieh; T Zhang; Gabriele Baldoni Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [Platform Engineering](), [Loop Engineering](), [AI Agent](), [sdlc](), [Latency](), [Low Latency](), [Concurrency](), [Software]() Tags: [agent](), [agent-observability](), [agentic-workflows](), [agents](), [ai](), [ai-agent](), [ci](), [concurrency](), [latency](), [low-latency](), [operational](), [performance](), [platform-engineering](), [platforms](), [queue](), [recovery](), [timeout]() ### AI overview This Datadog article explains how platform teams can operate shared platforms safely as AI agent workloads scale across teams. It discusses modeling demand across agent trajectories, planning capacity across dependencies such as CI queues and sandbox pools, handling contention and recovery behavior, and preserving control across system boundaries. ### Source excerpt Learn how Datadog models agent demand, allocates capacity under contention, and preserves control as AI agent workloads scale across shared platforms. ## Closing the Resilience Gap with Native Splunk in Cisco Nexus One DevFeed: [Closing the Resilience Gap with Native Splunk in Cisco Nexus One]() Original publisher: [Read original article]() Author: Murali Gandluru Published: 2026-09-14T19:55:29Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [Resilience](), [telemetry](), [Network](), [dashboards](), [Architecture & Design](), [data](), [Artificial Intelligence]() Tags: [2026](), [ai](), [architecture](), [business](), [cisco](), [cisco-data-fabric](), [dashboards](), [data](), [data-center](), [infrastructure](), [network](), [nexus-dashboard](), [nexus-one](), [operational](), [resilience](), [telemetry]() ### AI overview Cisco describes expanding Native Splunk in Cisco Nexus One from a single-node to a multi-node architecture. The integration brings Splunk search, dashboards, alerting, and analytics together with authoritative network context and distributed application, infrastructure, and security data through Cisco Data Fabric, helping teams investigate incidents and move from telemetry to root cause faster. ### Source excerpt See how Native Splunk and Cisco Nexus One bring analytics closer to network data, strengthen resilience, and connect teams across operational domains. ## \[Webinar\] Elevating customer engagement with WhatsApp DevFeed: [\[Webinar\] Elevating customer engagement with WhatsApp]() Original publisher: [Read original article]() Author: Twilio Published: 2026-09-11T00:00:00Z Content type: article Language: en Sources: [Twilio Blog]() Topics: [Messaging](), [Authentication](), [End-to-End Encryption](), [Encryption](), [Artificial Intelligence]() Tags: [ai](), [authentication](), [customer-engagement](), [encryption](), [enterprise](), [events-community](), [fraud](), [messaging](), [operational](), [webinar](), [whatsapp]() ### AI overview This webinar explains how businesses can use WhatsApp for secure account verification, operational alerts, two-way customer conversations, and interactive workflows. It also discusses end-to-end encryption, reducing SMS toll fraud risk, and examples of AI-powered HR messaging workflows. ### Source excerpt Stop losing critical messages in the noise. Discover how to deliver secure account verifications and operational updates via WhatsApp. ## Honoring #IconsOfQuality: Keith Klain DevFeed: [Honoring #IconsOfQuality: Keith Klain]() Original publisher: [Read original article]() Author: Rajrupa Roychowdhury Published: 2026-09-10T11:56:43Z Content type: article Language: en Sources: [BrowserStack Blog]() Topics: [Testing](), [Artificial Intelligence](), [systems](), [Software]() Tags: [ai](), [community](), [enterprise](), [financial-services](), [icons-of-quality](), [infrastructure](), [insights](), [integration](), [keynote](), [leadership](), [operational](), [quality-engineering](), [systems](), [technology](), [testing](), [thought-leadership](), [uk]() ### AI overview BrowserStack profiles Keith Klain as an influential figure in software quality and testing. The article highlights his work in AI assurance, quality engineering, operational risk, systems thinking, and strategic enterprise transformation, along with his contributions to the testing community and thought leadership. ### Source excerpt To celebrate the relentless passion and invaluable contributions of leaders in software quality, BrowserStack is proud to honour Icons of Quality. ## Building Trust in AI DevOps: Validating the Harness Knowledge Graph DevFeed: [Building Trust in AI DevOps: Validating the Harness Knowledge Graph]() Original publisher: [Read original article]() Author: Vikram Sahu Published: 2026-08-31T18:37:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [DevOps](), [Testing](), [Graphs](), [Artificial Intelligence](), [Software]() Tags: [ai](), [ai-evals](), [api](), [automated](), [data](), [devops](), [evals](), [graph](), [knowledge-graph](), [lifecycle](), [operational](), [other](), [pipeline](), [schema](), [sdlc](), [security](), [services](), [software](), [software-delivery](), [validation]() ### AI overview This article explains how Harness validates answers from its SDLC Knowledge Graph. Its multi-layered approach combines AI evaluations, schema traversal, API checks, direct product verification, production data, and shift-left testing to improve reliability. ### Source excerpt Discover our multi-layered validation approach combining AI evals to ensure reliable AI-powered software delivery insights. | Blog ## Time: The cornerstone of digital sovereignty and independence DevFeed: [Time: The cornerstone of digital sovereignty and independence]() Original publisher: [Read original article]() Author: Luca Cicchelli Published: 2026-08-18T01:45:10Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [digital sovereignty](), [systems](), [1.1.1.1](), [spoofing](), [Cybersecurity](), [5G](), [Cloud](), [Artificial Intelligence]() Tags: [5g](), [ai](), [cloud](), [cybersecurity](), [digital-sovereignty](), [energy](), [gnss](), [guest-post](), [ixps](), [operational](), [spoofing](), [systems](), [tech-matters](), [time]() ### AI overview Time is presented as a foundational requirement for digital sovereignty and independent operation. The article explains how synchronized time supports telecommunications, finance, energy, cloud and AI systems, and transport, while dependence on GNSS introduces risks from interference, jamming, and spoofing. ### Source excerpt Guest Post: Though often overlooked, time underpins telecommunications, finance, energy, cloud, AI, and transport systems. As dependence on GNSS increases, organizations need resilient, traceable time sources to strengthen cybersecurity, improve operational continuity, and support digital sovereignty. ## Hiring, tools, overload, automation: one cost wearing four names DevFeed: [Hiring, tools, overload, automation: one cost wearing four names]() Original publisher: [Read original article]() Author: The Team @ Giant Swarm Published: 2026-08-14T14:19:01Z Content type: opinion Language: en Sources: [Giant Swarm Blog]() Topics: [Kubernetes](), [Open Source](), [Tool](), [Automation]() Tags: [automation](), [cost](), [engineering](), [enterprise](), [kubernetes](), [open-source](), [operational](), [platform-engineering](), [teams](), [tools]() ### AI overview The article argues that hiring difficulties, tool overload, operational pressure, and insufficient automation are connected manifestations of a platform integration tax. It describes the cost of assembling and operating production platforms from open-source components, including time, specialist staffing, and enterprise operating expense. ### Source excerpt Four challenges platform teams keep naming turn out to be one cost: the platform integration tax. Giant Swarm's framework for where to start. ## Multiple LIR Accounts: Looking Back and Thinking Ahead DevFeed: [Multiple LIR Accounts: Looking Back and Thinking Ahead]() Original publisher: [Read original article]() Author: Marco Schmidt Published: 2026-08-12T12:47:22Z Content type: article Language: en Sources: [RIPE Labs]() Topics: [Internet](), [Networks](), [.NET 11]() Tags: [administration](), [article](), [complexity](), [ip](), [ipv4](), [networks](), [operational](), [policy]() ### AI overview The article examines how allowing RIPE NCC members to operate multiple Local Internet Registry (LIR) accounts evolved from a solution for limited organizational situations into a source of disproportionate operational complexity. It reviews the effects of IPv4 exhaustion, the last /8 policy, and the IPv4 transfer market, then explains the Internet Registry System and the rationale for simplifying the current model. ### Source excerpt Why a feature introduced for a handful of members became one of the RIPE NCC's most complex operational challenges. ## Top 15 Kubernetes Consulting Companies in 2026: Choosing the Right Partner for Cloud-Native Success DevFeed: [Top 15 Kubernetes Consulting Companies in 2026: Choosing the Right Partner for Cloud-Native Success]() Original publisher: [Read original article]() Author: Urolime Technologies Published: 2026-08-10T18:15:31Z Content type: comparison Language: en Sources: [Kubernetes Archives - Urolime Blogs]() Topics: [Kubernetes](), [Cloud Native Ecosystem](), [Architecture & Design](), [migration](), [Platform Engineering](), [Security]() Tags: [2026](), [architecture](), [cloud-migration](), [cloud-native](), [consulting](), [infrastructure-as-code](), [kubernetes](), [kubernetes-consulting](), [operational]() ### AI overview A guide to 15 Kubernetes consulting companies in 2026, describing why businesses use consulting services and the capabilities to assess when selecting a partner. It covers Kubernetes architecture, application migration, security, multicloud operations, platform engineering, GitOps, observability, governance, and cost optimization. ### Source excerpt The question isn't whether you should use Kubernetes or not, rather its on how to make use of Kubernetes to add value to your business. From AI-based applications and microservices to multicloud as well as edge computing, Kubernetes is at the center of digital transformation. But implementing and managing Kubernetes solutions requires a set of [...] ## History of SpaceX: The Category-Dominating Commercial Spinoff and the Internalization of Anchor Demand DevFeed: [History of SpaceX: The Category-Dominating Commercial Spinoff and the Internalization of Anchor Demand]() Original publisher: [Read original article]() Author: Brendan Sechter Published: 2026-08-04T09:00:00Z Content type: article Language: en Sources: [Brendan A R Sechter's Development Blog]() Topics: [communications](), [Deployment](), [service]() Tags: [aerospace](), [beta](), [business](), [capacity](), [customer](), [deployment](), [history](), [international](), [launches](), [operational](), [partnership](), [regulatory](), [revenue](), [service](), [spacex](), [subscriber]() ### AI overview This article examines SpaceX's commercial spinoff as the internalization of an anchor customer. It explains how the spinoff consumes the parent's launch output at marginal cost, traces its deployment, service rollout, integration, subscriber and revenue development, direct-to-cell expansion, capital requirements, and regulation, and compares the configuration with other satellite-constellation businesses. ### Source excerpt This article is the eleventh in the History of SpaceX series and the third and last treating the capital-formation legs that the series opener introduced. The category-dominating commercial spinoff concerns the business the venture built on top of its own capability, and the article's organizing claim is that the spinoff is not a diversification into an adjacent market but the internalization of an anchor customer. Where the Anchor Demand article A283 treats a government customer buying launches, this article treats the venture becoming the customer it had previously needed someone else to be. The decisive economic property is not that the spinoff grew large. It is that the spinoff consumes the parent's output at marginal cost while every competitor attempting the same business must pay a market price the parent sets. The article walks the January 2015 announcement and the capacity argument that motivated it, the deployment sequence from the first operational batch of May 2019 through the service beta of 2020 and the commercial rollout of 2021, the vertical integration and the internal transfer price that the whole arrangement turns upon, the coupling between constellation deployment and launch cadence, the subscriber and revenue trajectory across the 2020 through drafting-date period, the direct-to-cell extension beginning with the carrier partnership announced in 2022, the capital intensity and the replenishment obligation that a short-lifetime constellation imposes, and the regulatory position across the Federal Communications Commission, the International Telecommunication Union, and the national regulators whose authorizations the service requires. The article contrasts the configuration against the Iridium and Globalstar precedents, in which comparable constellations were built without a captive launch capability, and against the OneWeb and Kuiper cases, in which competitors attempted the business while buying launch at market. The article closes with an expli ## Why defining infrastructure is the prerequisite for autonomous cloud operations DevFeed: [Why defining infrastructure is the prerequisite for autonomous cloud operations]() Original publisher: [Read original article]() Author: Oved Lourie Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [Infrastructure as code](), [Cloud](), [Large Language Model](), [sdlc]() Tags: [autonomous](), [cloud](), [compliance](), [governance](), [here](), [iac](), [infrastructure](), [llms](), [operational](), [operations](), [platform-engineering](), [production](), [review](), [sdlc](), [workflows]() ### AI overview The article argues that autonomous cloud operations depend on clearly defined infrastructure. It describes the operational gap between infrastructure-as-code intent and deployed reality, including configuration drift, incomplete governance, compliance risk, and reliance on undocumented knowledge and manual processes. The article also explains that LLM-driven acceleration of the SDLC has increased infrastructure change faster than manual review can absorb. ### Source excerpt Autonomous cloud operations require legible infrastructure. Learn why defining your infrastructure ontology is the prerequisite for continuous governance and closing the Operational Gap between intent and reality ## How to scale GitOps in the enterprise: From single cluster to fleet management DevFeed: [How to scale GitOps in the enterprise: From single cluster to fleet management]() Original publisher: [Read original article]() Author: Artem Lajko Published: 2026-07-23T05:40:01Z Content type: tutorial Language: en Sources: [Platform Engineering Blog]() Topics: [GitOps](), [Tooling](), [Git](), [YAML](), [flux]() Tags: [complexity](), [config](), [deployment](), [developers](), [git](), [guide](), [helm](), [how-to](), [kubectl](), [learn](), [operational](), [platform](), [reconciliation](), [scale](), [secrets](), [secrets-management](), [workflow](), [workflows]() ### AI overview This guide explains how to scale GitOps from a single cluster to enterprise fleet management across 50 or more clusters. It focuses on architectural patterns, state store strategies, multi-cluster topology, secrets and policy management, configuration sprawl, repository performance, reconciliation delays, and the organizational discipline required for reliable operations. ### Source excerpt Learn how to scale GitOps from 1 to 50+ clusters using advanced state store patterns (OCI, ConfigHub), multi-cluster topology, and enterprise secrets/policy management ## The true cost of Kubernetes release support for Platform Engineers DevFeed: [The true cost of Kubernetes release support for Platform Engineers]() Original publisher: [Read original article]() Author: Bruce Gain Published: 2026-07-23T05:40:01Z Content type: comparison Language: en Sources: [Platform Engineering Blog]() Topics: [Kubernetes](), [Platform Engineering](), [Cloud](), [Amazon Web Services](), [Amazon EKS](), [Azure](), [rancher]() Tags: [amazon-eks](), [aws](), [azure](), [cloud](), [comparison](), [cost](), [cves](), [kubernetes](), [operational](), [platform](), [platform-engineering](), [private-cloud](), [red-hat](), [releases](), [security](), [support](), [testing](), [upgrades](), [vmware-cloud-foundation](), [vulnerabilities]() ### AI overview This article compares the operational and financial trade-offs of Kubernetes release support models. It explains that the CNCF's 14-month support window requires frequent upgrades, creating testing, coordination, maintenance, and service-disruption risks. Hyperscalers such as Amazon EKS, Google GKE, and Azure AKS offer paid extended support, while VMware Cloud Foundation provides 24 months of standard support without incremental fees and Red Hat OpenShift offers a 36-month support window. ### Source excerpt Compare the true cost and operational trade-offs of Kubernetes extended support fees from hyperscalers (AWS, GCP, Azure) versus the longer, predictable maintenance cycles of VMware VCF and other enterprise distributions. ## 10 observability tools platform engineers should evaluate in 2026 DevFeed: [10 observability tools platform engineers should evaluate in 2026]() Original publisher: [Read original article]() Author: Sam Barlien Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [observability](), [Platform Engineering](), [OpenTelemetry](), [telemetry](), [distributed-systems](), [Kubernetes](), [Microservices](), [Instrumentation](), [Monitoring](), [CI/CD]() Tags: [ci-cd](), [developer](), [instrumentation](), [integration](), [kubernetes](), [metrics](), [microservices](), [observability](), [opentelemetry](), [operational](), [platform](), [platform-engineering](), [telemetry](), [traces]() ### AI overview This article evaluates observability tools for platform engineers in 2026. It focuses on the dual requirement of operational visibility and developer self-service, with evaluation criteria including native OpenTelemetry support, cost optimization, transparent pricing, and integration with internal developer platforms. It also discusses observability for Kubernetes, microservices, distributed systems, and shared infrastructure. ### Source excerpt Discover the 10 best observability tools for platform engineers in 2026. Learn how to meet the dual mandate of operational visibility and developer self-service by prioritizing OpenTelemetry support, transparent pricing, and seamless integration with your platform. ## How platform engineering plus VMs ease modernization DevFeed: [How platform engineering plus VMs ease modernization]() Original publisher: [Read original article]() Author: Jennifer Riggins Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [virtualization](), [Containers](), [Cloud Native Ecosystem](), [Security](), [Scalability](), [Provisioning]() Tags: [architecture](), [cloud](), [cloud-native](), [containers](), [engineering](), [idp](), [infrastructure](), [operational](), [platform](), [platform-engineering](), [policy](), [provisioning](), [scalability](), [security](), [virtual-machines]() ### AI overview The article explains how combining containers in virtual machines with platform engineering and internal developer platforms can ease modernization. It argues that VMs provide stronger isolation, security boundaries, resource flexibility, and performance comparable to bare metal, while a policy-driven platform layer improves provisioning, utilization, compliance, and scalability. ### Source excerpt Explore why running containers in Virtual Machines (VMs) with a platform engineering strategy is essential for modern cloud environments. Learn how VMs deliver superior security, isolation, and resource management compared to bare metal, while achieving performance parity. ## Beyond Origin Validation: Four Classes of Routing Attack Nobody Is Validating DevFeed: [Beyond Origin Validation: Four Classes of Routing Attack Nobody Is Validating]() Original publisher: [Read original article]() Author: Antonio Prado Published: 2026-07-21T12:33:47Z Content type: article Language: en Sources: [RIPE Labs]() Topics: [BGP](), [networking](), [Routing Security](), [Security]() Tags: [2025](), [article](), [attacks](), [bgp](), [internet-attacks](), [operational](), [routing-security](), [rpki](), [security](), [validation]() ### AI overview The article argues that RPKI and cryptographic origin validation do not cover every BGP attack. It describes a malformed Prefix-SID incident that caused widespread updates and session resets, then presents a taxonomy of four macro-categories and eight micro-categories for routing attacks and their operational defences. ### Source excerpt RPKI has made real progress against prefix hijacking. But when you map every known class of BGP attack against the defences that exist, four of them turn out to sit entirely outside cryptographic validation: handled with local filters, static thresholds and reactive response. ## Apollo's New API IP Allowlist Policy DevFeed: [Apollo's New API IP Allowlist Policy]() Original publisher: [Read original article]() Author: David Glasser Published: 2026-07-15T12:00:00Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphOS](), [API](), [Firewall](), [gateway](), [Network](), [configuration]() Tags: [announcement](), [api](), [configuration](), [firewall](), [gateway](), [graphos](), [infrastructure](), [installation](), [network](), [operational](), [published](), [router](), [schema](), [trust-center]() ### AI overview Apollo has published an API IP Allowlist Policy for GraphOS Router and Apollo Gateway deployments that restrict outbound access by IP address. The policy covers Apollo Uplink endpoints, documents their current IP addresses, and promises at least 60 days' notice before adding new IPs. Apollo also plans to add a second IP per covered service no earlier than September 16, 2026. ### Source excerpt Restricting outbound traffic by IP? GraphOS Router now needs a second Uplink IP allowlisted before September 16, 2026. See what Apollo's new policy covers. ## Deep Dive into SASL PLAIN and SCRAM in Kafka: Login Modules and Config Hot-Reload DevFeed: [Deep Dive into SASL PLAIN and SCRAM in Kafka: Login Modules and Config Hot-Reload]() Original publisher: [Read original article]() Author: Pratul Yadav Published: 2026-07-06T09:43:40Z Content type: article Language: en Sources: [Confluent: Data in motion]() Topics: [Kafka](), [configuration](), [Authentication](), [passwords](), [TLS (Transport Layer Security)]() Tags: [authentication](), [config](), [configuration](), [confluent-platform](), [credential-theft](), [cryptographic](), [deep-dive](), [kafka](), [operational](), [password](), [production](), [tls]() ### AI overview This article explains Kafka authentication with SASL PLAIN and SASL SCRAM, focusing on login modules, credential storage, and configuration hot-reload. It compares their security and operational characteristics and describes how hot-reload enables credential changes without restarting brokers. ### Source excerpt Deep Dive into SASL PLAIN and SCRAM in Kafka: Login Modules and Config Hot-Reload ## The platform assembly tax: a framework for what platform teams keep describing " Giant Swarm DevFeed: [The platform assembly tax: a framework for what platform teams keep describing " Giant Swarm]() Original publisher: [Read original article]() Author: The Team @ Giant Swarm Published: 2026-06-29T17:02:43Z Content type: opinion Language: en Sources: [Giant Swarm Blog]() Topics: [AI Platform](), [Open Source](), [Framework](), [Automation](), [Kubernetes]() Tags: [automation](), [engineering](), [enterprise](), [kubernetes](), [open-source](), [operational](), [platform](), [platform-engineering](), [teams](), [tools]() ### AI overview The article describes the "platform assembly tax": the cumulative time, money, and senior engineering effort required to select, integrate, and operate open-source platform components reliably in production. It connects this cost to hiring constraints, tool sprawl, operational overload, and limited time for automation, and gives enterprise-scale estimates for assembling and running such platforms. ### Source excerpt Ask a platform team to describe what's getting in the way of their work, and you'll usually hear about four things: hiring the right people, too many tools for the team size, operational overload, and not enough time for automation. Different teams put them in different orders, but the same four answers come back. ## Ceph Q2 2026 Newsletter DevFeed: [Ceph Q2 2026 Newsletter]() Original publisher: [Read original article]() Author: Anthony Middleton Published: 2026-06-25T00:00:00Z Content type: article Language: en Sources: [Ceph Blog]() Topics: [ceph](), [releases]() Tags: [2026](), [blog-post](), [ceph](), [ceph-events](), [collaboration](), [communication](), [community](), [contribute](), [developers](), [documentation](), [ecosystem](), [en-article](), [en-blog-post](), [event](), [governance](), [growth](), [metrics](), [newsletter](), [operational](), [operations](), [releases](), [resources](), [support]() ### AI overview The Ceph Q2 2026 Newsletter covers governance coordination, community elections, documentation initiatives, contributor resources, regional Ceph Days events, project releases, and ways to contribute. It emphasizes collaboration among users, developers, operators, and organizations across the Ceph ecosystem. ### Source excerpt During the second quarter, the Ceph Foundation focused on strengthening collaboration across the project, expanding community programs, supporting documentation efforts, and investing in regional events. This edition highlights recent governance discussions, community elections, new contributor resources, Ceph Days events, and opportunities for community members to get involved. If you have an idea for a Ceph-related event, outreach effort, or project, we encourage you to submit a funding request and work with the Foundation to help bring it to life. In This Issue ¶ Board and CSC Alignment on Community Priorities 2026 CSC Election Recap Meet the New Ceph Technical Writer Ceph Days Continue to Grow Latest Ceph Releases Community Committees and New Ways to Contribute Board and CSC Alignment on Community Priorities ¶ The Ceph Governing Board and Community Steering Committee (CSC) met this quarter to discuss the long-term health of the project, governance, documentation, community growth, and Foundation-supported initiatives. The discussion reaffirmed the distinct roles of each organization within the Ceph ecosystem. The CSC continues to provide technical governance for the project, while the Ceph Foundation focuses on community growth, events, outreach, and funding. The Linux Foundation provides operational, legal, and financial support that enables both groups to operate effectively. A significant area of focus was improving coordination between technical priorities and Foundation-supported programs. Current documentation initiatives include improvements to the documentation backport process, development of a new OSD operations guide, clarification of package and container documentation, and the removal of outdated content. The Board and CSC also discussed the future of community events and the importance of establishing clear goals and success metrics for Foundation-funded programs. Both groups reaffirmed their commitment to supporting collaboration between users, de ## Don't forget Google SAS retires June 2027. DevFeed: [Don't forget Google SAS retires June 2027.]() Original publisher: [Read original article]() Author: j2sw Published: 2026-06-23T19:34:33Z Content type: news Language: en Sources: [Justin Wilson (j2sw)]() Topics: [SAS](), [Google](), [Google Cloud Platform (GCP)](), [migration](), [service]() Tags: [2026](), [3ghz](), [cbrs](), [cloud](), [deployments](), [existing](), [google](), [google-cloud](), [migration](), [net-11](), [network-operations](), [operational](), [retirement](), [sas](), [service](), [wireless-networking]() ### AI overview Google Cloud Spectrum Access System (SAS) is being retired. It stopped accepting new customers on June 10, 2026, will remain operational for existing customers during the transition, and is scheduled to shut down on June 10, 2027. ### Source excerpt In case you forgot: RETIREMENT NOTICE Google Cloud Spectrum Access System (SAS) is being retired. Starting June 10, 2026, we are no longer accepting new customers. The service will remain fully operational for existing customers during the transition period and will be shut down on June 10, 2027. Please review the migration steps below for instructions on ... Read more The post Don't forget Google SAS retires June 2027. appeared first on Justin Wilson (j2sw). [Next page]()