Operations | Monitoring | ITSM | DevOps | Cloud

It has been five months since we announced project Harvester, open source hyperconverged infrastructure (HCI) software built using Kubernetes. Since then, we’ve received a lot of feedback from the early adopters. This feedback has encouraged us and helped in shaping Harvester’s roadmap. Today, I am excited to announce the Harvester v0.2.0 release, along with the Beta availability of the project!

To many developers and system administrators—and even to some database administrators—database engines are a black box. They’re complex pieces of software that, in some cases, even have their own operating systems—the database engine manages its own memory, reads and writes to disks, and handles numerous other system functions. In this post, you’ll learn about a specific feature of database engines—query optimization.

It’s been a great month for exciting insights about the role that engineering must play in driving profitable innovation.

It’s official: regulations by the US and UK governments are coming down the track to secure the software supply chain.

ECS Anywhere allows you to use Amazon Web Services’ container service outside of the AWS cloud, and Canonical is proud to be a launch partner for this service. Using Ubuntu as the base OS for your ECS clusters on-prem or elsewhere will allow you to benefit from Ubuntu’s world-leading hardware support, professional services, and vast ecosystem, in turn allowing your ECS clusters to run with optimal performance everywhere you need it.

Amazon Elastic Container Service (ECS) is a managed compute platform for containers that was designed to be simple to configure, with opinionated defaults to help users get started quickly. ECS customers can run containerized workloads on either Amazon EC2 instances or the serverless Fargate platform without having to maintain a control plane—and can easily integrate ECS with other AWS resources, like Network Load Balancers, to architect their infrastructure.

Testing is vital because it helps you discover bugs before you release software, enabling you to deliver a high-quality product to your customers. Sometimes, though, tests are flaky and unreliable. Tests may be unreliable because of newly-written code or external factors. These flaky tests, also known as flappers, fail to produce accurate and consistent results. If your tests are flaky, they cannot help you find (and fix) all your bugs, which negatively impacts user experience.

Trust isn’t given, it’s earned. As the Russian proverb advises, Доверяй, но проверяй — or as U.S. President Ronald Reagan liked to repeat, “Trust, but verify.” We designed JFrog Pipelines to securely support a large number of teams, applications, users and thousands of pipelines.

With 50% of the US adult population vaccinated, there’s a lot to look forward to this summer, life no longer feels like it’s on hold, and we’re fully embracing that. Get your fire hoses ready, 'cause extinguishing incidents just got easier. We’re rolling out a summer full of new integrations, product releases, events, and more.

In 1946, a moth found its way to a relay of the Mark II computer in the Computation Laboratory where Grace Hopper was employed. Since that time, software engineers and operations specialists have been plagued by “bugs.” In the age of DevOps, we can catch many bugs before they escape into a production environment. Still, occasionally they do, and they can spawn all kinds of unexpected problems when they do.