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Securing open source through CVE prioritisation

According to a recent study, 96% of applications in the enterprise market use open-source software. As the open-source landscape becomes more and more fragmented, the task to assess the impact of potential security vulnerabilities for an organisation can become overwhelming. Ubuntu is known as one of the most secure operating systems, but why? Ubuntu is a leader in security because, every day, the Ubuntu Security team is fixing and releasing updated software packages for known vulnerabilities.

How Domotz streamlined provisioning of IoT devices

As the number of IoT devices scale, the challenges of provisioning and keeping them up to date in the field increases. Domotz, who manufacture an all-in-one, network monitoring and management device for enterprise IoT networks, found themselves with this challenge that was further compounded by their rapid software release cadence. One of the most crucial and difficult aspects for Domotz to solve was the delivery of automatic updates to the tens of thousands of devices deployed.

IAM Access in Kubernetes: kube2iam vs kiam

IAM is the de-facto method of authorization in AWS. Most Kubernetes “Quick Start” guides for AWS do not adequately cover how to manage IAM access in your pods. This blog series will first go over the security issues specific to AWS IAM on Kubernetes, then compare solutions, and then end with a detailed walkthrough for setting up your cluster with one of those solutions.

Creating a thriving, agile, remote team

The coronavirus (COVID-19) pandemic has forced many organizations to take unprecedented steps towards remote working. As a fully distributed team, we’ve faced the common challenges of remote work. Based on our experience from our very beginning in 2018, all but a few of these organizations new to remote working will face hurdles to overcome and may try to revert to colocation as soon as possible. Remote working is hard, even when it’s carefully planned and executed.

Serverless Continuous Integration in the era of parallelism

As a team that does pure serverless, we place a lot of emphasis on fast deployments. Lately, though, as our codebase has gotten larger, and the number of interactions between the microservices has increased, we have come up against the classic problem of excessively long test execution times in our serverless continuous integration.

Searching GitHub: Improving developer efficiency with Workplace Search

More than 40 million people use GitHub as a collaboration tool for building software around the world. For most companies — including distributed teams like Elastic — GitHub has become a critical content source for building software, holding much of the information and knowledge upon which the organizations are built, across items like issues, pull requests, and more.

Integrating LaunchDarkly with Sleuth

Today, we’re excited to announce you can now integrate LaunchDarkly with Sleuth, allowing you to track feature flags as a source of change in your DevOps stack. The Integration LaunchDarkly gives developers fine-grained control over which users see which features, and with our native LaunchDarkly integration you can now track the status and impact of feature flags relative to other source changes in your projects, such as code, issues, etc.

StackState's Health Forecasting

Forecasting health is vital in today's society. Who has the highest risk of getting a virus? Are you able to predict when this will happen? Knowing answers to these questions could save many lives. Forecasting the health of IT infrastructures is equally essential. Think of identifying databases that are about to stop serving requests in a timely matter, hard drives that are about to run out of space, or Service-level agreements (SLA's) that are about to cross the set thresholds.

When Dedicated DevOps is Not Available

With the rise of cloud computing and modern distributed systems, we also witnessed the rise of a new practice area: DevOps. Despite being fundamental for smooth cloud operations, a dedicated DevOps practitioner is a luxury most teams can’t afford. Salaries average $130K in San Francisco, for example. When a dedicated DevOps practitioner is not available in our team, what should we do? The answer could unfold a multitude of aspects.