The Docker daemon - dockerd - is the heart of the container engine. It manages container lifecycle, networking, storage, images, system events, and API communication. While Docker works out of the box after installation, configuring the daemon gives administrators deeper control over performance, security, and remote access. This guide dives into the essential configurations of the Docker daemon on Linux.
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.
On-call engineers spend hours manually investigating incidents across multiple observability tools, logs, and monitoring systems. This process delays incident resolution and impacts business operations, especially when teams need to correlate data across different monitoring platforms. AWS DevOps Agent (in preview) is a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance of applications in AWS, multicloud, and hybrid environments.
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'."
AWS CloudFormation models and provisions cloud infrastructure as code, letting you manage entire lifecycle operations through declarative templates. Stack Refactoring console experience, announced today, extends the AWS CLI experience launched earlier. Now, you move resources between stacks, rename logical IDs, and decompose monolithic templates into focused components without touching the underlying infrastructure using the CloudFormation console. Your resources maintain stability and operational state throughout the reorganization.
WordPress powers countless websites across various domains, offering incredible versatility. This Content Management System (CMS) is the undisputed leader in the CMS market, powering an impressive 43.6% of all websites globally, according to these statistics. With over 810 million websites built on the platform and hundreds more launching daily (500+), its adoption continues to surge. This widespread use gives WordPress a massive 62% CMS market share, significantly outpacing its rivals.
Modern generative AI applications often need to stream large language model (LLM) outputs to users in real-time. Instead of waiting for a complete response, streaming delivers partial results as they become available, which significantly improves the user experience for chat interfaces and long-running AI tasks. This post compares three serverless approaches to handle Amazon Bedrock LLM streaming on Amazon Web Services (AWS), which helps you choose the best fit for your application.
Note that systemd compiled with musl has various limitations: since NSS or equivalent functionality is not available, nss-systemd, nss-resolve, DynamicUser=, systemd-homed, systemd-userdbd, the foreign UID ID, unprivileged systemd-nspawn, systemd-nsresourced, and so on will not work. [...] Caveat emptor. What this means is that it's now possible to compile and run systemd on Linux distributions that are not based on the GNU version of the C standard library, glibc.
With all these rapidly advancing new capabilities, now is the ideal moment to move your repositories to GitHub so your teams can fully harness Copilot's agentic power while still benefiting from your existing investments in Azure Boards and Pipelines. The two platforms continue to work better together, and choosing GitHub as the home for your code unlocks the richest end-to-end agentic experience.
Amazon Web Services has announced enhancements to its CodeBuild service, allowing teams to use Amazon ECR as a remote Docker layer cache, significantly reducing image build times in CI/CD pipelines. By leveraging ECR repositories to persist and reuse build layers across runs, organisations can skip rebuilding unchanged parts of containers and accelerate delivery. The blog outlines how Docker BuildKit support enables commands such as --cache-from and --cache-to pointing to ECR-based cache images,
The query builder solves a large SQL bottleneck by transforming log analysis from a time-consuming task into a real-time, self-service capability that's fit for any DevOps or site reliability professional. This is an immense time-saver that can collapse typical investigation windows from hours to minutes,
I'd like to beg you, dear Sir, as well as I can, to have patience with everything unresolved in your heart and to try to love the questions themselves as if they were locked rooms or books written in a very foreign language. Don't search for the answers, which could not be given to you now, because you would not be able to live them. The point is to live everything. Live the questions now. Perhaps then, someday far in the future, you will gradually, without even noticing it, live your way into the answer
Kubernetes networking is highly flexible but this flexibility can introduce security risks because all pods can communicate with each other by default. Cilium addresses these challenges by providing a modern, high-performance solution for Kubernetes networking that combines security, observability and performance using eBPF. Cilium is an open-source networking and security solution designed for cloud-native environments. It provides high-performance pod-to-pod networking utilizing eBPF and allows identity-aware network policies at the API level, enforcing fine grained controls.
The platform tackles problems familiar to many platform engineering teams: sprawling cloud estates, drift between code and live environments, and fragile toolchains. According to Pavlo Baron, co-founder and CEO of Platform Engineering Labs, the tool emerged from direct experience with these challenges: We built formae out of our own pain. It is the first platform that starts from reality, not from an idealised plan. It accepts even the messiest truth of any cloud environment and provides a safe, reliable way to evolve it.
The Cloud Native Computing Foundation (CNCF) published a blog post discussing how vCluster, an open-source project by Loft Labs, addresses key multi-tenancy obstacles in Kubernetes clusters by enabling "virtual clusters" within a single host cluster. This approach enables multiple tenants to have isolated control planes while sharing underlying compute resources, thereby reducing overhead without compromising isolation. Traditional namespace-based isolation in Kubernetes often falls short when tenants need to deploy cluster-scoped resources like custom resource definitions (CRDs)
