Hakboian describes a pattern in which specialised agents: one for logs, one for metrics, one for runbooks and so on, are coordinated by a supervisor layer that decides who works on what and in what order. The aim, the author explains, is to reduce the cognitive load on the engineer by proposing hypotheses, drafting queries, and curating relevant context, rather than replacing the human entirely.
What do we do at Fly? We are a developer-focused cloud platform. That means we make it easy for developers to get their apps deployed, up and running. Something I think that really differentiates us is that we make it easy to deploy your apps in different regions over the world. We are available in 40 different regions. It's basically like a CDN, but for your apps.
Automation is transforming IT service management (ITSM), moving service desks from reactive, manual workflows toward systems that can intelligently route, prioritize, and resolve issues with minimal human intervention. Recent research from Freshworks found that IT professionals lose nearly seven hours every week-almost a full workday-to fragmented tools and overly complicated work processes. Implementing ITSM automation reduces manual effort, accelerates resolution, improves consistency and accuracy, enables proactive issue prevention, and delivers faster, more reliable service that measurably improves employee and end-user satisfaction.
Charlie Marsh announced the Beta release of ty on Dec 16 "designed as an alternative to tools like mypy, Pyright, and Pylance." Extremely fast even from first run Successive runs are incremental, only rerunning necessary computations as a user edits a file or function. This allows live updates.
Amazon Web Services has launched Amazon EKS Capabilities, a set of fully managed, Kubernetes-native features designed to streamline workload orchestration, AWS cloud resource management, and Kubernetes resource composition and automation. The capabilities, now generally available across most AWS commercial regions, bundle popular open-source tools into a managed platform layer, reducing the operational burden on engineering teams and enabling faster application deployment and scaling on Amazon Elastic Kubernetes Service (EKS).
For more than a decade, many considered cloud outages a theoretical risk, something to address on a whiteboard and then quietly deprioritize during cost cuts. In 2025, this risk became real. A major Google Cloud outage in June caused hours-long disruptions to popular consumer and enterprise services, with ripple effects into providers that depend on Google's infrastructure. Microsoft 365 and Outlook also faced code failures and notable outages, as did collaboration platforms like Slack and Zoom. Even security platforms and enterprise backbones suffered extended downtime.
When a system is overwhelmed with more requests than it can effectively process, a cascade of problems can ensue, significantly undermining its performance and reliability. One of the most immediate and noticeable consequences is the degradation of performance. In such scenarios, users may face frustratingly slow response times or complete timeouts in more severe cases. This not only hampers the user experience but can also erode trust in the system's reliability.
Identity and authentication services company Authress shared its strategy to stay operational during major cloud infrastructure outages like the massive October 2025 AWS outage that disrupted many major services. The company's resilience architecture relies on strategies like multi-region deployment and minimizing reliance on AWS control plane services, Authress CTO Warren Parad explains. Parad says the AWS October 20 incident was the worst seen in a decade. Even so, Authress maintained its SLA reliability commitments thanks to a reliability-first design centered on a failover routing strategy.
Real-Time Visibility: Instantly monitor test progress and quality trends to catch regressions before they impact your release. Comprehensive Analytics: Dive into historical data with built-in dashboards that break down results by outcome, priority, configuration, and failure type. Effortless Management: Use powerful filters such as timeline, run type, pipeline, and more, to find exactly what you need. Customize your view with persistent search and column visibility settings.
AWS has recently introduced regional availability for the managed NAT Gateway service. The new capability allows developers to create a single NAT Gateway that automatically spans multiple availability zones (AZs) in a VPC, providing high availability, eliminating the need to define separate gateways and public subnets in each zone. A NAT Gateway lets instances in a private subnet access the internet or other services outside a VPC using the NAT Gateway's IP address.
Typically, what happens is that we plan for maybe 2x, 3x load, but when you put things into the internet, you don't have any control. Who is coming in, when they're going to come, how is this going to be used, because that's how the internet is. Any event can potentially trigger it. It could be good for your business. It could be bad actors coming and trying to steal stuff.
The goal was simple: allow teams to take a work item from Azure Boards and send it directly to GitHub Copilot so the coding agent could begin working on it, track progress, and generate a pull request. We are happy to announce that this integration is now being rolled out as generally available 🎉. Customers who participated in the preview helped us validate the experience, find issues, and shape improvements.
Three pipelines spun up, three sets of plugins re-resolved half the internet, and one test failed because Repo C still referenced Repo B's previous artifact. I fixed it, pushed again, and watched the other two pipelines restart for moral support. By 9:30am I had three tabs of "Create Merge Request" open, three pom.xmls fighting me, and one cold coffee. We were living in a tiny-repo cul-de-sac - each house had its own rules, its own toolchain, and its own definition of " latest Jackson.".
According to benchmarks published by hl's creator, the viewer achieves throughput of up to ~2 GiB/s with automatic indexing on initial scan and up to ~10 GiB/s when reindexing growing files. This performance appears to be a significant improvement over alternatives such as hlogf, humanlog, fblog, and fblog-d, making hl a compelling tool for DevOps engineers who work with very large log files from the command line.
C loud computing has now entered its mature adolescence i.e. it's still surprisingly developmental, changeable and occasionally irrational in some areas, but overall it's certainly old enough to know better and should really start behaving properly. With the debate between public and private cloud now long over and the hybrid norm now (mostly) a de facto standard for typical deployments, multi-cloud itself is still an oft misunderstood state of being, with FinOps constantly berating us for waste and inefficiency.
Docker recently announced the release of Docker Desktop 4.50, marking another update for developers seeking faster, more secure workflows and expanded AI-integration capabilities. The release introduces a free version of Docker Debug for all users, deeper IDE integration (including VSCode and Cursor), improved multi-service to Kubernetes conversion support, new enterprise-grade governance controls, and early support for Model Context Protocol (MCP) tooling.
Australian collaborationware company Atlassian has revealed it's spent four years trying to reduce dangerous internal dependencies, and while it has rebuilt its PaaS, it still has issues - but thinks they're now manageable. As explained in a Tuesday post by Senior Engineering Manager Andrew Ross, "Atlassian runs a large service-based platform with thousands of different services, most deployed by our custom orchestration system, 'Micros'."