More than half of organizations are using Kubernetes in their day-to-day operations
New research into the adoption of Kubernetes finds 51 percent of cloud developers are using Kubernetes and containers in their daily operations, and 57 percent have seen an increase in the number of Kubernetes clusters running within their organization over the last year.
The survey of 1,000 cloud developers by Civo finds the most common benefits cited for Kubernetes are its ease for scaling of work and for management of containers, named by 36 percent and 35 percent of respondents citing respectively.
How Kubernetes and AI will combine to deliver next-gen services [Q&A]
The popularity of Kubernetes has led to its rapid adoption, but as with any advanced technology, the benefits come alongside challenges.
Being able to take full advantage of the technology means understanding what it can offer and how it fits with other developments like artificial intelligence. We spoke to Tobi Knaup, CEO of independent Kubernetes platform D2iQ, to find out about the current state of Kubernetes and what it promises for the future.
Simple data management with Database as-a-Service (DBaaS) for Kubernetes
Modern applications need to be fast, available, and secure. They are composed of many microservices, often supported by multiple data services. Managing each of these data services in a dynamic, Kubernetes world is complex, time-consuming and leaves little time for innovation.
Managing stateful applications on Kubernetes in production is difficult. According to a Pure Storage survey, the most important customer requirements are:
Why run your database in Kubernetes? [Q&A]
Kubernetes is one of the most widely used platforms for running containerized applications. Many businesses though still run their databases in a more traditional environment.
Of course there's no reason why you can't run a database in Kubernetes and there are many advantages to doing so. We spoke to Karthik Ranganathan, founder and CTO of cloud-native database specialist Yugabyte, to discuss the pros and cons.
How to use SIGKILL to rapidly terminate containers in Kubernetes
Originating from Linux, which uses a Unix operating system, SIGKILL is a common command that developers use to terminate absolutely any process. Most commonly, if anything needs to be shut down immediately as it's causing damage to the system itself, then SIGKILL is the go-to signal to use.
Alongside Linux, SIGKILL has also found itself into any developer platform that manages container systems, with the most popular example of this being Kubernetes. As one of the most drastic signals that you can execute, SIGKILL will instantly terminate a process, without giving the system the opportunity to block or ignore the signal. With this, absolutely any processes that are connected to the process you’ve killed will also terminate.
New process helps deliver Kubernetes observability
As Kubernetes becomes increasingly widely adopted, monitoring these systems effectively becomes even more critical for businesses. But because Kubernetes is by nature ephemeral -- things can be created and destroyed quickly -- this represents a challenge.
As a Gartner report last year pointed out poor or manual monitoring procedures can introduce friction for developers and loss of visibility. To combat this problem, analytics platform Sumo Logic has unveiled a new process to deliver Kubernetes observability in just a few clicks.
Why and how organizations are modernizing their container deployments at the edge [Q&A]
Edge computing is aimed at bringing computing power closer to the source of data, such as IoT devices. It's increasingly being seen as an alternative to traditional data center and cloud models.
Stewart McGrath is the CEO at Section, a global Edge as a Service (EaaS) provider that helps organizations improve availability of their containerized application workloads in the cloud. We spoke to him to find out how and why companies are moving applications out to the edge.
Microservices and service mesh are critical to digital transformation
New research shows that 85 percent of companies are modernizing their applications to a microservices architecture.
The study from Solo.io and ClearPath Strategies reveals that 56 percent of organizations with at least half of their applications on a microservices architecture have faster development cycles, with daily or more frequent releases.
Evolving attack techniques target cloud-native systems
Attackers are finding new ways to target cloud-native environments according to a new report from Aqua Security's Nautilus threat research team.
While cryptominers are the most common malware observed, with increasing frequency researchers have discovered an increased usage of backdoors, rootkits and credential stealers.
Why Kubernetes deployment needs a security first mindset [Q&A]
Kubernetes has been at the forefront of container deployment, allowing the automation of development, scaling and management, and supported on a wide range of public cloud platforms.
But as with any cloud deployment there are potential risks from mis-configuration, poorly managed access privileges and more. It's important therefore that when deploying Kubernetes security is given top priority.
Is Kubernetes the right fit for your IT?
Kubernetes is a standardized, open-source program for managing containerized workloads and programs. It is claimed to be many things -- and has a great many fans in the tech space, and for good reason.
It has a whole raft of benefits. It is incredibly efficient, improving workloads and response times across broad IT infrastructures, and ultimately resulting in more portability (although not a cure), shortened software development cycles, and reduced cloud-data consumption. Naturally, this in turn leads to quicker and cheaper IT projects.
The challenges facing Kubernetes developers and how to overcome them [Q&A]
Developers have a lot to think about in 2022. Security tops the list and, increasingly, developers in the cloud and using Kubernetes need to think about cost too.
We talked to Rob Faraj, co-founder of monitoring tool Kubecost, to find out cultural shifts that organizations and developers need to make to overcome challenges created by the increase in adoption of Kubernetes.
Infrastructure teams spend almost half their time on routine manual tasks
Multicloud strategies have led to a surge in complexity, with enterprise infrastructure teams dealing with big volumes of data as they try to monitor and manage their constantly changing environments.
A new study from software intelligence company Dynatrace shows that as a result, teams are spending 42 percent of their time on manual, routine tasks, limiting their ability to accelerate innovation and highlighting the need for increased use of AI and automation.
IBM helps developers deploy AI and ML models on Kubernetes
Responding to a user request from an AI model -- 'model serving' -- is a key part of making use of the technology. But as the number of models expands serving them all raises problems and can lead to many being rarely used or abandoned.
Which is why IBM is introducing ModelMesh, a model serving management layer for Watson products that is designed to cope with high-scale, high-density and frequently-changing model use cases. It intelligently loads and unloads AI models to and from memory to strike an optimized trade-off between responsiveness to users and computational footprint.
Why dev teams need observability to make sense of Kubernetes clusters
As cloud-native applications and microservices become more complex, developer teams struggle to make the most out of their infrastructure. Observability can cut through cluttered architectures to connect key engineering decisions to business metrics.
Driven by a constant mission for faster performance, improved efficiency, and enhanced business outcomes, developer tools change rapidly to meet the increased pressures on engineering teams. While these tools move in the direction of progress, the pace of change means that dev teams sometimes miss the forest for the trees, and today, one of the industry’s most widely-deployed tools is also its most misunderstood.
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