When you're deep in the trenches of operating your cloud, sometimes it's helpful to step back and get a broader view of what's happening in the industry. On today's Day Two Cloud we explore the results of an annual State of the Cloud survey to get a snapshot of trends impacting the cloud industry, including multicloud adoption, services used, cloud usage and spending, and the challenges of finding and training talent. Our guest to help us unpack the report is Keith Townsend.
The post Day Two Cloud 194: Unpacking Flexera’s State Of The Cloud Report With Keith Townsend appeared first on Packet Pushers.
As you may have heard, AnsibleFest will be taking place at Red Hat Summit in Boston May 23-25. This change will allow you to harness everything that Red Hat technology has to offer in a single place and give you even more tools to address your automation needs. Join Ansible and automation-focused audiences to hear from Red Hat and Ansible leaders, customers, and partners while getting the latest on future Ansible product updates, community projects, and what’s coming in IT automation.
Event-Driven Ansible is a key component to address the complexities of managing varying assets at scale. We announced this product feature as a developer preview last October at AnsibleFest 2022, and we are excited to talk even more about it. So what can you expect to see about Event-Driven Ansible at AnsibleFest and Red Hat Summit this year?
Do you have questions about Event-Driven Ansible? Bring them to AnsibleFest and take advantage Continue reading
Last year, R2 made its debut, providing developers with object storage while eliminating the burden of egress fees. (For many, egress costs account for over half of their object storage bills!) Since R2’s launch, tens of thousands of developers have chosen it to store data for many different types of applications.
But for some applications, data stored in R2 doesn’t need to be retained forever. Over time, as this data grows, it can unnecessarily lead to higher storage costs. Today, we’re excited to announce that Object Lifecycle Management for R2 is generally available, allowing you to effectively manage object expiration, all from the R2 dashboard or via our API.
Object lifecycles give you the ability to define rules (up to 1,000) that determine how long objects uploaded to your bucket are kept. For example, by implementing an object lifecycle rule that deletes objects after 30 days, you could automatically delete outdated logs or temporary files. You can also define rules to abort unfinished multipart uploads that are sitting around and contributing to storage costs.
I got this comment on one of my ChatGPT-related posts:
It does save time for things like converting output to YAML (I do not feed it proprietary information), or have it write scripts in various languages, converting configs from one vendor to another, although often they are not complete or correct they save time so regardless of what we think of it, it is an efficiency multiplier.
I received similar feedback several times, but found that the real answer (as is too often the case) is It Depends.
I got this comment on one of my ChatGPT-related posts:
It does save time for things like converting output to YAML (I do not feed it proprietary information), or have it write scripts in various languages, converting configs from one vendor to another, although often they are not complete or correct they save time so regardless of what we think of it, it is an efficiency multiplier.
I received similar feedback several times, but found that the real answer (as is too often the case) is It Depends.
Organizations can reduce security risks in containerized applications by actively managing vulnerabilities through scanning, automated image deployment, tracking runtime risk and deploying mitigating controls to reduce risk
Kubernetes and containers have become de facto standards for cloud-native application development due to their ability to accelerate the pace of innovation and codify best practices for production deployments, but such acceleration can introduce risk if not operationalized properly.
In the architecture of containerized applications, it is important to understand that there are highly dynamic containers distributed across cloud environments. Some are ephemeral and short-lived, while others are more long-term. Traditional approaches to securing applications do not apply to cloud-native workloads because most deployments of containers occur automatically with an orchestrator that removes the manual step in the process. This automatic deployment requires that the images be continuously scanned to identify any vulnerabilities at the time of development in order to mitigate the risk of exploit during runtime.
In addition to these challenges, software supply chain adds complexity to vulnerability scanning and remediation. Applications increasingly depend on containers and components from third-party vendors and projects. As a result, it can take weeks or longer to patch the affected components and release new software Continue reading
Sponsored Feature: Computers are taking over our daily tasks. For big tech, this means an increase in IT workloads and an expansion of advanced use cases in areas like artificial intelligence and machine learning (AI/ML), the Internet of Things (IoT), augmented reality and virtual reality (AR/VR). …
How ZeroPoint Optimizes Performance And Energy Use In Datacenters With Memory Compression was written by Martin Courtney at The Next Platform.