DevOps

DevOps

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.

Huntress case data revealed a stunning surge in hypervisor ransomware: its role in malicious encryption rocketed from just three percent in the first half of the year to 25 percent so far in the second half,

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.&quot.

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.

On October 20, 2025, Amazon Web Services (AWS) experienced a major outage that disrupted global internet services, affecting millions of users and thousands of companies across more than 60 countries. The incident originated in the US-EAST-1 region and was traced to a DNS resolution failure affecting the DynamoDB endpoint, which cascaded into outages across multiple dependent services. According to AWS's official incident report, the fault began when a DNS subsystem failed to update domain resolution records within the affected region correctly.

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,

From a technical standpoint, the solution relies on a lightweight serverless function (such as an AWS Lambda) that receives GitLab webhooks via an API Gateway endpoint, formats the payload as structured logs, and ships them into Grafana Cloud Logs. Users can then use LogQL queries to analyze CI/CD activity by project, deployment success rates, or build times. Furthermore, these logs can be combined with application performance data in Grafana dashboards, for example, seeing error rates plotted alongside specific deploys or code changes.