# Operations Published articles for Operations. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Announcing Redis 8.10: Compact Hash, JSONPath extensions, performance improvements, & more DevFeed: [Announcing Redis 8.10: Compact Hash, JSONPath extensions, performance improvements, & more]() Original publisher: [Read original article]() Author: Bosmat Tuvel Published: 2026-09-14T00:00:00Z Content type: release Language: en Sources: [Redis Blog]() Topics: [Redis](), [Data structures](), [Data Management](), [Open Source]() Tags: [data-management](), [improvements](), [memory](), [new-features](), [operations](), [performance](), [redis](), [streams](), [tech](), [time-series]() ### AI overview Redis 8.10 in Redis Open Source introduces compact hashes, incremental backup and restore, JSONPath syntax extensions, more flexible Stream consumption, new Set cardinality operations, atomic movement of multiple List elements, and enhanced Time Series capabilities. The release also improves memory efficiency, throughput, and operational reliability at scale. ### Source excerpt Redis 8.10 in Redis Open Source is now available, delivering improvements that make Redis more memory efficient, expressive, and easier to operate at scale. Highlights include compact hashes with up to 50% lower memory usage and 2x higher hash loadin... ## Peer Pressure: Inside the Sality Botnet Disruption Operation DevFeed: [Peer Pressure: Inside the Sality Botnet Disruption Operation]() Original publisher: [Read original article]() Author: CrowdStrike Counter Adversary Operations Published: 2026-09-12T11:17:51.295154Z Content type: article Language: en Sources: [Blog]() Topics: [P2P](), [Cybercrime]() Tags: [2026](), [collaboration](), [department-of-justice](), [industry](), [operations](), [partnership](), [support](), [threat-hunting-intel]() ### AI overview CrowdStrike describes a coordinated operation that disrupted the Sality peer-to-peer botnet, which had distributed malicious payloads to more than 33,000 infected machines worldwide. The operation used peer-to-peer sinkholing to isolate infected machines and disable the criminal command channel, with support from international law enforcement and industry partners. ### Source excerpt CrowdStrike collaborated with international law enforcement and industry partners to execute a coordinated disruption of the Sality peer-to-peer botnet. ## CrowdStrike Delivers the Next Evolution of the Agentic SOC DevFeed: [CrowdStrike Delivers the Next Evolution of the Agentic SOC]() Original publisher: [Read original article]() Author: Brandon Benke Published: 2026-09-12T11:17:51.295154Z Content type: article Language: en Sources: [Blog]() Topics: [Agentic SOC](), [SOC](), [Security](), [Artificial Intelligence](), [Automation](), [data](), [real-time](), [Reconnaissance](), [Cloud](), [Network]() Tags: [2026](), [agentic](), [agentic-soc](), [agents](), [ai](), [automation](), [cloud](), [data](), [identity](), [network](), [operations](), [platform](), [real-time](), [saas](), [security](), [soc]() ### AI overview CrowdStrike describes the next evolution of its agentic SOC, where analysts and AI agents work together in a unified system to investigate and respond to threats in real time. The Falcon platform combines data generation, enrichment, investigation, orchestration, and governance, with capabilities for detection-ready third-party data and coordinated specialist agents. ### Source excerpt Expert agents that reason together, learn your environment, and run on data CrowdStrike owns. See how we deliver the agentic SOC. Learn more! ## A working incident response model for GPU clouds DevFeed: [A working incident response model for GPU clouds]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-12T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [incident](), [Incident response](), [GPU](), [Monitoring](), [Tooling]() Tags: [communication](), [debugging](), [gpu](), [gpu-cloud](), [grafana](), [incident](), [incident-management](), [incident-response](), [jira](), [management](), [on-call](), [operations](), [ownership](), [pagerduty](), [review](), [slack](), [sre]() ### AI overview This article presents an incident response model for GPU clouds and other customer-facing infrastructure businesses. It emphasizes preparation, named ownership, meaningful alert paths, incident command, separation of technical work from customer communication, and post-incident learning. It argues that tools such as PagerDuty, Jira, Grafana, and Slack are useful only within a clear operating model. ### Source excerpt The tools matter, but they only work when they sit inside a clear operating model: ownership, signal, command, communication, and learning. ## Why a DevOps Portal Cannot Replace an Operating Model DevFeed: [Why a DevOps Portal Cannot Replace an Operating Model]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-11T00:00:00Z Content type: opinion Language: en Sources: [Sridhar Rajarao]() Topics: [DevOps](), [incident](), [Deployment]() Tags: [deploy](), [deployment](), [devops](), [incident](), [operations](), [platform-engineering](), [production](), [sre](), [startups]() ### AI overview A DevOps portal can reduce operational friction, but it cannot create service ownership, incident discipline, or an operating model. The article recommends defining ownership, health signals, runbooks, escalation paths, and rollback practices before building a small, practical portal. ### Source excerpt A portal can remove friction. It cannot create service ownership, incident discipline, or a working operating model that does not yet exist. ## From noise to signal: Monitoring Amazon DocumentDB like a pro DevFeed: [From noise to signal: Monitoring Amazon DocumentDB like a pro]() Original publisher: [Read original article]() Author: Deepak Deepesh Published: 2026-09-09T15:23:20Z Content type: tutorial Language: en Sources: [AWS Database Blog]() Topics: [Amazon DocumentDB](), [site-reliability-engineering](), [Amazon CloudWatch Logs](), [Database]() Tags: [amazon](), [amazon-cloudwatch](), [amazon-cloudwatch-logs](), [amazon-documentdb](), [best-practices](), [database](), [devops](), [expert-400](), [health](), [how-to](), [logs](), [metrics](), [monitoring](), [on-call](), [operations](), [performance](), [production]() ### AI overview A tutorial on monitoring production Amazon DocumentDB clusters with tiered alerts, CloudWatch metrics, Performance Insights, profiler logs, slow-query diagnosis, and garbage-collection health checks. ### Source excerpt Learn how to build a tiered alerting strategy for Amazon DocumentDB by organizing CloudWatch metrics into Critical, Warning, and Advisory tiers, diagnosing slow queries through three complementary lenses, and monitoring garbage collection health before it becomes a cluster-wide incident. ## Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow DevFeed: [Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow]() Original publisher: [Read original article]() Author: Gireesh Sreedhar KP; Deepak Dhankani; Eash Sharma Published: 2026-09-09T03:00:00Z Content type: article Language: en Sources: [Databricks]() Topics: [AI Agent](), [databricks](), [AI Infrastructure](), [real-time]() Tags: [agents](), [ai](), [ai-engineering](), [architecture](), [best-practices](), [blog](), [company](), [customer](), [customers](), [data-science-and-ml](), [data-strategy](), [databricks](), [efficiency](), [engineering](), [evaluation](), [india](), [industries](), [operations](), [platform](), [product](), [production](), [real-time](), [retail-consumer-goods](), [scale](), [workflows]() ### AI overview This Databricks and MLflow case study describes how Zepto uses an evaluation-first, multi-agent AI system to operate customer support at more than 100,000 tickets per day. It focuses on the system architecture, evaluation framework, quality gate, and development and production loops used to improve reliability as volume, product categories, languages, and failure modes expand. ### Source excerpt Zepto's Push for Reliable, Real-Time Customer SupportZepto is one of India's fastest-growing... ## Autobase 2.11 released DevFeed: [Autobase 2.11 released]() Original publisher: [Read original article]() Published: 2026-09-09T00:00:00Z Content type: release Language: en Sources: [PostgreSQL news]() Topics: [postgresql clusters](), [Database](), [releases](), [Ansible Roles](), [cloud-infrastructure]() Tags: [ansible](), [cloud](), [operations](), [postgresql](), [postgresql-clusters](), [release]() ### AI overview Autobase 2.11 adds Platform UI management for PostgreSQL cluster scaling, minor and major upgrades, backups, and point-in-time recovery. It also introduces Ansible playbooks for backup and recovery operations. ### Source excerpt Autobase 2.11 is an important milestone in the evolution of the platform. Two years ago, we started working on a broader goal: evolve the Autobase Console from a PostgreSQL deployment UI into a platform for managing the complete cluster lifecycle. With this release, the remaining major pieces of that roadmap are now in place - scaling, upgrades, backups, and point-in-time recovery can all be managed directly from the Platform UI. See the full details in the release notes. Highlights Scaling (read replicas) Scale PostgreSQL read capacity directly from the UI. Simply specify the desired number of cluster nodes, and Autobase will provision the additional replicas automatically using the existing cloud configuration. For cloud deployments, the required servers and related infrastructure resources are created automatically. You can also scale clusters running on your own bare-metal or virtual machines. Start with a single-node PostgreSQL cluster and add replicas later as your workload grows. Upgrades Autobase Platform now supports minor upgrades within the current PostgreSQL major version as well as major-version upgrade workflows. For minor upgrades, replicas are updated one at a time, followed by a switchover and upgrade of the former primary. Read traffic remains available throughout the process, while expected write downtime is only ~5-10 seconds. For in-place major upgrades, the expected downtime is typically ~30-60 seconds. A blue-green major upgrade workflow with near-zero downtime is planned for a future release. Backup & Restore (PITR) Backup and recovery management is now available directly in the Platform UI. Configure the backup method, storage, retention, and schedule, or create backups on demand. Restore options include: Latest: recover to the latest available state Point in time: restore to a specific date and time Specific backup: restore from a selected backup New Ansible playbooks Autobase 2.11 adds new Ansible playbooks for backup and recovery operatio ## Kubernetes access via an identity provider: Public client, not confidential DevFeed: [Kubernetes access via an identity provider: Public client, not confidential]() Original publisher: [Read original article]() Author: Kolawole Olowoporoku | CNCF Ambassador and Senior Platform Engineer Published: 2026-09-08T11:30:00Z Content type: tutorial Language: en Sources: [Cloud Native Computing Foundation]() Topics: [Kubernetes](), [Authorization](), [client]() Tags: [api](), [architecture](), [authentication](), [blog](), [browser](), [iam](), [identity](), [integration](), [kubernetes](), [on-prem](), [operations]() ### AI overview The article explains how to replace static Kubernetes credentials with identity-provider login using a public OIDC client and PKCE. It describes kubectl with kubelogin, Keycloak, kube-apiserver token validation, and RBAC-based access decisions. ### Source excerpt Access control belongs on the same day-zero checklist as networking and storage. On most on-prem clusters, it never makes the list. The Identity Gap Managed cloud Kubernetes ships IAM or SSO integration out of the box.... ## Troubleshooting Wi-Fi at Black Hat USA 2026 with ThousandEyes DevFeed: [Troubleshooting Wi-Fi at Black Hat USA 2026 with ThousandEyes]() Original publisher: [Read original article]() Author: Alex Guckin Published: 2026-09-07T15:00:39Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Network Operations Center](), [dashboards](), [telemetry](), [Duo]() Tags: [agents](), [black-hat](), [cybersecurity](), [dns](), [duo](), [metrics](), [monitoring](), [network-operations-center](), [noc](), [operations](), [security](), [security-operations-center](), [soc](), [splunk-cloud](), [splunk-enterprise-security](), [thousandeyes]() ### AI overview A behind-the-scenes account of using ThousandEyes monitoring nodes and dashboards to troubleshoot Wi-Fi performance and roaming issues in the Black Hat USA 2026 Network Operations Center. ### Source excerpt A behind-the-scenes look at troubleshooting Wi-Fi in the Black Hat USA 2026 Network Operations Center with ThousandEyes. ## ZGateway: Learnings from Putting a Proxy in Front of ZippyDB DevFeed: [ZGateway: Learnings from Putting a Proxy in Front of ZippyDB]() Original publisher: [Read original article]() Author: Rittik Banik; Yunhao Cao Published: 2026-09-03T16:00:20Z Content type: article Language: en Sources: [Engineering at Meta]() Topics: [networking]() Tags: [backend](), [core-infra](), [database](), [engineering](), [meta](), [operations](), [resilience](), [routing](), [tls]() ### AI overview Meta introduces ZGateway, a proxy layer that unifies client traffic to its ZippyDB key-value store. The article explains how a managed proxy centralizes connection management, request batching, load balancing, admission control, routing, and cross-region resilience for a large client fleet. ### Source excerpt We're introducing ZGateway, the proxy we are using to unify traffic through ZippyDB, Meta's most widely-used key value store. As a bonus, it also enables admission control, load balancing, cross-region resilience, and richer operations. ZippyDB is the most widely used key value store at Meta, backing product metadata, counters, and configuration, and can serve billions [...] Read More... The post ZGateway: Learnings from Putting a Proxy in Front of ZippyDB appeared first on Engineering at Meta. ## New AI and Kubernetes Private Cloud Operations Capabilities in VMware Cloud Foundation 9.1.1 DevFeed: [New AI and Kubernetes Private Cloud Operations Capabilities in VMware Cloud Foundation 9.1.1]() Original publisher: [Read original article]() Author: vmwareblogs Published: 2026-09-03T14:00:05Z Content type: release Language: en Sources: [VMware Blogs]() Topics: [vcf 9.1](), [vcf operations](), [Artificial Intelligence](), [Conversational AI](), [Kubernetes](), [private cloud](), [observability](), [Security]() Tags: [ai](), [cloud-infrastructure](), [conversational-ai](), [costoptimization](), [diagnostics](), [kubernetes](), [operations](), [private-cloud](), [release](), [security](), [vcf-9-1](), [vcf-management-services](), [vcf-operations](), [vcf-operations-for-logs](), [vcf-operations-for-networks](), [visibility](), [vks](), [vmware-cloud-foundation]() ### AI overview VMware announces new operations capabilities in VMware Cloud Foundation 9.1.1, including expanded visibility, an optional locally configured conversational AI assistant, full-stack Kubernetes observability, and enhanced security operations. ### Source excerpt We are excited to announce new operations capabilities with the release of VMware Cloud Foundation (VCF) 9.1.1. By expanding visibility capabilities, giving you the option to configure a conversational AI assistant to assist your daily workflows, and hardening security, VCF 9.1.1 helps IT teams resolve issues faster and scale their infrastructure. As private cloud infrastructure ... Continued The post New AI and Kubernetes Private Cloud Operations Capabilities in VMware Cloud Foundation 9.1.1 appeared first on VMware Blogs. ## Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America DevFeed: [Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America]() Original publisher: [Read original article]() Author: Reese Lewis and Sara McBroom Published: 2026-09-03T10:00:58Z Content type: article Language: en Sources: [Unit 42]() Topics: [Language models](), [AI Chat](), [Incident response]() Tags: [agentic-ai](), [ai](), [chatgpt](), [cl-cri-1131](), [cl-cri-1163](), [claude-code](), [data](), [financial-sector](), [go](), [large-language-models-llms](), [malware](), [nextchat](), [operations](), [phishing](), [shipping-and-transportation](), [socks5](), [socktz](), [threat-research]() ### AI overview The article examines two ongoing intrusion and data-exfiltration campaigns targeting organizations in Latin America. It describes attackers using commercial large language models, proxy infrastructure, phishing, remote-access malware, and operational tooling. ### Source excerpt Explore how attackers targeting Latin American entities use AI for data exfiltration and how basic OpSec errors allow defenders to disrupt operations. The post Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America appeared first on Unit 42. ## Walter Torous named executive director of MIT Center for Real Estate DevFeed: [Walter Torous named executive director of MIT Center for Real Estate]() Original publisher: [Read original article]() Author: Denise Brehm | MIT Center for Real Estate | Department of Urban Studies and Planning Published: 2026-09-01T21:25:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Finance]() Tags: [academic](), [ai-and-real-estate](), [architecture](), [artificial-intelligence](), [center-for-real-estate](), [civil-and-environmental-engineering](), [education-teaching-academics](), [executive](), [faculty](), [hashim-sarkis](), [leadership](), [machine-learning](), [master-of-science-in-real-estate-development-program-msred](), [media-lab](), [mit-center-for-real-estate](), [mit-cre](), [mit-dusp](), [mit-leadership](), [mit-sloan-school-of-management](), [operations](), [pandemic-effect-on-real-estate](), [program](), [real-estate](), [residential-real-estate](), [school-of-architecture-and-planning](), [school-of-engineering](), [siqi-zheng](), [urban-studies-and-planning](), [walter-torous]() ### AI overview Walter Torous, a senior lecturer at MIT and director of the Master of Science in Real Estate Development Program, became executive director of the MIT Center for Real Estate effective July 1, 2026. He will oversee the center's teaching, consortium activities, fundraising, events, staff, budget, and strategic direction. ### Source excerpt The senior lecturer, already director of the degree program, will now oversee all aspects of the center's activities and operations. ## Enterprise AI Agents: Common Roadblocks and How to Overcome Them DevFeed: [Enterprise AI Agents: Common Roadblocks and How to Overcome Them]() Original publisher: [Read original article]() Author: JEFF MILLS, CHIEF CUSTOMER OFFICER, AI SERVICES @ TOPTAL Published: 2026-09-01T07:00:00Z Content type: article Language: en Sources: [Toptal Blog]() Topics: [AI Agent](), [Artificial Intelligence](), [AI Platforms/Deployment]() Tags: [agentic](), [agents](), [ai](), [ai-agent](), [ai-agents](), [enterprise](), [operations](), [productivity](), [workflows]() ### AI overview This article examines why enterprises struggle to scale AI agents into daily operations and outlines the organizational readiness and workflow integration challenges behind that gap. ### Source excerpt AI agents promise autonomy at scale, but many organizations fail to deploy them in day-to-day operations. Drawing on decades of experience in business strategy and technology, two Toptal leaders explore what it takes to bring AI agents into real workflows. ## How law firm Gilbert + Tobin governs and scales AI with OpenAI DevFeed: [How law firm Gilbert + Tobin governs and scales AI with OpenAI]() Original publisher: [Read original article]() Published: 2026-09-01T01:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Chat](), [AI Strategy]() Tags: [ai-adoption](), [chatgpt](), [codex](), [enablement](), [enterprise](), [leadership](), [openai](), [operations](), [research](), [training](), [workflow]() ### AI overview Gilbert + Tobin describes scaling ChatGPT Enterprise and Codex through governance, leadership-led adoption, role-specific enablement, and continued human accountability. The firm uses these tools to support operational research, drafting, analysis, and defined workflow steps rather than replace legal judgment. ### Source excerpt See how Gilbert + Tobin combines CEO-led commitment, rigorous governance, and human accountability to scale ChatGPT Enterprise and Codex across the firm. ## Hot Chips 2026: Samsung's Processing-in-Memory (PIM) DevFeed: [Hot Chips 2026: Samsung's Processing-in-Memory (PIM)]() Original publisher: [Read original article]() Author: Chester Lam Published: 2026-08-29T05:36:33Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [samsung](), [Latency]() Tags: [2026](), [compute](), [dram](), [latency](), [memory](), [model](), [operations](), [parallel](), [precision](), [samsung]() ### AI overview The article examines Samsung's LPDDR5X Processing-in-Memory implementation presented at Hot Chips 2026. It describes PIM blocks placed in each DRAM bank, enabling access to internal memory bandwidth and supporting MAC computations near the data. ### Source excerpt In-memory compute with LPDDR5X ## Why Senior Leaders Should Attend Post-Incident Reviews for Major Cloud Incidents DevFeed: [Why Senior Leaders Should Attend Post-Incident Reviews for Major Cloud Incidents]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-08-29T00:00:00Z Content type: opinion Language: en Sources: [Sridhar Rajarao]() Topics: [incident](), [Cloud](), [control-plane](), [Deployment]() Tags: [cloud](), [control-plane](), [customers](), [deploy](), [incident](), [incident-management](), [leadership](), [major](), [operations](), [post](), [postmortems](), [reliability](), [review](), [service]() ### AI overview The article argues that senior leaders should attend Post Incident Reviews for major cloud incidents because failures can affect many customers and teams. Leadership helps approve cross-team changes, resolve trade-offs, and ensure corrective actions are completed. ### Source excerpt For major incidents, a Post Incident Review is not an operations meeting. It is where leaders remove the blockers that keep the service from becoming safer. ## 【kube-apiserver】运维与升级：HA、flags、graceful shutdown 与 etcd 联检 DevFeed: [【kube-apiserver】运维与升级：HA、flags、graceful shutdown 与 etcd 联检]() Original publisher: [Read original article]() Author: Liao Tonglang Published: 2026-08-28T00:00:00Z Content type: tutorial Language: zh Sources: [土法炼钢 - 系统与基础设施]() Topics: [Kubernetes](), [Encryption]() Tags: [api](), [apiserver](), [audit](), [backend](), [config](), [distributed](), [encryption](), [etcd](), [flag](), [graceful-shutdown](), [ha](), [kubernetes](), [leader-election](), [load-balancer](), [operations](), [retry](), [servers](), [upgrade](), [v1-30-3]() ### AI overview This Chinese-language operations tutorial explains kube-apiserver high availability and upgrades for Kubernetes v1.30.3. It clarifies that multiple apiserver instances run concurrently without internal leader election, sharing an etcd cluster, and covers key flags, graceful shutdown, encryption configuration, audit webhooks, upgrade checks, and version-skew guidance. ### Source excerpt kube-apiserver 高可用模式：多实例共享 etcd、无需内部 leader election；核心 flag 语义（--etcd-servers、--etcd-servers-overrides、--shutdown-delay-duration、encryption-provider-config）；与 etcd/14 的联合升级检查单；Kubernetes 版本偏差策略与 etcd 矩阵指针。 ## 【etcd】运维与升级：member change、backup/restore 与 3.5-\>3.6/3.7 门 DevFeed: [【etcd】运维与升级：member change、backup/restore 与 3.5-\>3.6/3.7 门]() Original publisher: [Read original article]() Author: Liao Tonglang Published: 2026-08-26T00:00:00Z Content type: tutorial Language: zh Sources: [土法炼钢 - 系统与基础设施]() Topics: [etcd](), [upgrade](), [Kubernetes](), [migration]() Tags: [backup](), [distributed](), [etcd](), [kubernetes](), [learner](), [member-change](), [migration](), [operations](), [raft](), [recovery](), [restore](), [snapshot](), [upgrade](), [v3](), [v3-5](), [v3-5-33](), [v3-6](), [v3-7]() ### AI overview A Chinese-language operational guide to etcd v3.5.33 covering member replacement and learner promotion, live snapshot backup and restore, Kubernetes control-plane recovery, patch upgrades, and documented upgrade gates from etcd 3.5 to 3.6 and 3.7. ### Source excerpt member add/remove/replace 与 learner promote 检查单；snapshot backup/restore 及 K8s 语境 revision bump；3.5.33 补丁线与 3.6/3.7 官方升级门禁项，不超前写未钉 tag 能力。 ## Day to day PostgreSQL on Kubernetes: Resize, Scale, and Upgrade DevFeed: [Day to day PostgreSQL on Kubernetes: Resize, Scale, and Upgrade]() Original publisher: [Read original article]() Author: Hans-Jürgen Schönig Published: 2026-08-25T06:16:00Z Content type: tutorial Language: en Sources: [CYBERTEC PostgreSQL | Services & Support]() Topics: [Kubernetes](), [PostgreSQL](), [postgresql clusters]() Tags: [capacity](), [commands](), [declarative](), [github](), [how-to](), [kubectl](), [kubernetes](), [operations](), [patroni](), [pg-operator](), [postgresql](), [postgresql-on-cloud](), [pull-requests](), [rolling-update](), [scale](), [upgrade]() ### AI overview A tutorial demonstrates resizing, scaling, and minor version upgrades for PostgreSQL running on Kubernetes with the CYBERTEC PG Operator. Using end-to-end minikube tests, it shows declarative manifest changes, rolling updates, Patroni failover, and scaling while the cluster remains available. ### Source excerpt This blog is about the resizing, scaling PostgreSQL in Kubernetes. This blog helps you learn various operation related to operations of PostgreSQL in Kubernetes. The post Day to day PostgreSQL on Kubernetes: Resize, Scale, and Upgrade appeared first on CYBERTEC PostgreSQL | Services & Support. ## Running your own OAuth and OIDC provider in 2026 is an operations problem DevFeed: [Running your own OAuth and OIDC provider in 2026 is an operations problem]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-25T00:00:00Z Content type: opinion Language: en Sources: [WorkOS Blog]() Topics: [OAuth](), [OpenID connect (OIDC)](), [Authorization](), [Security]() Tags: [oauth](), [oidc](), [operations](), [security](), [upgrade]() ### AI overview The article argues that operating a self-hosted OAuth and OIDC provider in 2026 is primarily an operations challenge. Using Better Auth 1.7 as evidence, it highlights key rotation, revocation, directory lifecycle, uptime, security maintenance, and migration work alongside protocol features such as DPoP and back-channel logout. ### Source excerpt Better Auth 1.7 shipped DPoP, back-channel logout, and MCP alignment. Its own upgrade guide shows why the operational half of an OAuth provider costs more. ## Scale software delivery pipelines in isolation without owning the runner fleet DevFeed: [Scale software delivery pipelines in isolation without owning the runner fleet]() Original publisher: [Read original article]() Author: Kyurim Rhee Published: 2026-08-25T00:00:00Z Content type: article Language: en Sources: [GitLab]() Topics: [ci](), [GitLab](), [Software as a service](), [Security](), [cloud-infrastructure](), [Provisioning]() Tags: [agentic](), [ci](), [compliance](), [cost](), [developers](), [devsecops-platform](), [infrastructure](), [operations](), [platform](), [product](), [saas](), [scale](), [security](), [software-delivery](), [workflows]() ### AI overview GitLab presents Hosted Runners for GitLab Dedicated, a fully managed CI execution SaaS offering with isolated runner infrastructure. Each job runs in a newly provisioned VM that is deleted after completion, helping enterprises address security, compliance, scalability, reliability, and runner-operations demands without owning the runner fleet. ### Source excerpt Many enterprises choose GitLab Dedicated for a clear reason: a secure and compliant, single-tenant GitLab instance, managed by GitLab. As agentic workflows drive more pipeline volume, full data isolation and runner infrastructure operational burden become a challenge. This leads to the question, "Does owning the runner fleet still make sense?" With GitLab Dedicated, there is no more need to provision, patch, build, and scale your own runner fleet. Hosted Runners for GitLab Dedicated handles the heavy lifting and delivers a seamless experience across the entire software development lifecycle so your team can focus on shipping. Hosted Runners for GitLab Dedicated provides a runner fleet isolated from other customers. To support job-level security, each job runs in a newly provisioned, isolated VM that is deleted after the job completes. We provide a scalable and highly reliable runner fleet to support your bursty CI demands and resiliency needs. Creating and managing runners is self-serviceable through Switchboard (GitLab Dedicated management console). The runner ownership trade-off: Cost vs. user experience Pipeline load can be unpredictable. To account for this, runner infrastructure can be over-provisioned to give developers the best experience and maintain low wait times. But this drives up the infrastructure cost. Conversely, under-provisioning can save on infrastructure cost, but your developers will waste time waiting for their CI jobs to be picked up. Efforts to fine-tune this balance can monopolize your platform team's time. Shift runner operations to GitLab while maintaining control Hosted Runners for GitLab Dedicated is a fully managed CI execution SaaS offering. It's backed by a high-performing and reliable runner infrastructure. Key benefits include: Supports compliance: Full isolation/single-tenant runners with same data residency as GitLab Dedicated. Job level security: "One runner for one job" -- hosted runners run every job in a standalone, short-lived ## Why fleet management matters for Kubernetes at the edge DevFeed: [Why fleet management matters for Kubernetes at the edge]() Original publisher: [Read original article]() Author: Arvind Bhoj Published: 2026-08-20T13:00:00Z Content type: opinion Language: en Sources: [Kubernetes Overview, News and Trends | The New Stack]() Topics: [Kubernetes](), [Cloud Native Ecosystem](), [Orchestration]() Tags: [automation](), [cloud-native](), [clusters](), [edge-computing](), [kubernetes](), [management](), [nutanix](), [operations](), [post](), [security](), [sponsor-nutanix](), [sponsored](), [sponsored-post]() ### AI overview The article argues that edge computing has become a mainstream strategic concern and that Kubernetes provides a suitable platform for edge workloads, including generative AI. It identifies dispersed, customized clusters and piecemeal configuration as operational bottlenecks that fleet management can address. ### Source excerpt Not too long ago, edge computing was seen as a niche use case, limited to telcos, manufacturing plants, and large The post Kubernetes at the edge has hit a wall. Fleet management is the way through. appeared first on The New Stack. [Next page]()