Open-sourced by Google in 2014, Kubernetes is a container orchestrator. That means it enables users to deploy and manage apps distributed and deployed in containers. It takes care of scaling, self-healing, load-balancing, rolling updates, etc. The project is managed by the Cloud Native Computing Foundation (CNCF) along with multiple other open source projects, and you can find it here on GitHub.
The cloud native stack, also referred to as the new stack, is composed of the new cloud-independent counterparts of cloud managed services. As enterprises moved to the cloud, they started leveraging cloud managed services such as AWS’ DynamoDB or GCP’s BigQuery. Very convenient, these on-demand services significantly increased developer productivity. Being proprietary, they only work on that specific cloud, however — a significant drawback.
Transitioning from a Monolith to a Microservices architecture can take years to complete. The internet is full of stories of companies famously making this transformation. But how do you know if it’s right for your organization? Is your organization ready? In this article, we will look at five questions you can ask to see if you’ll benefit from a Microservices architecture. We’ll also discuss five challenges you will face during this transformation.
Ticketing systems have remained largely unchanged for three decades. Teams supporting either legacy or DevOps applications both suffer high costs.
Among the many, MANY announcements at re:Invent this year is one that settles a years-long debate or concern amongst people considering using AWS Lambda to build serverless applications: cold starts. AWS Lambda is now 5 years old. For all of that time, there’s been a concern about latency the first time a function is called. Well, fret no more: with Provisioned Concurrency you can pay a tiny fee to know Lambda functions are always available.
Microsoft Azure DevOps is a leading platform for planning, building, and deploying code. We are excited to announce a new integration with Azure DevOps, which helps organizations see the full picture as they build and deploy dynamic applications. Teams can get new insights into their builds, releases, work items, and code events; understand how deployments impact application performance; and even halt bad updates automatically.
“Service mesh” is an umbrella term for products that seek to solve the problems that microservices’ architectures create. These challenges include security, network traffic control, and application telemetry. The resolution of these challenges can be achieved by decoupling your application at layer five of the network stack, which is one definition of what service meshes do.
In recent weeks, some of the most recognizable companies in the DevOps space have had their foundations rattled, perhaps shaking developer confidence. The acquisition of Docker Enterprise by Mirantis, the acquisition of Sonatype (Nexus) by a capital firm and the open-sourcing of Quay by Red Hat leave many development shops wondering what will happen next with their strategic tool choices.
December 12, 2019 It’s a perfect storm: infrastructure silos, increasing volumes of data, growing hybrid infrastructures, and mounting anomalies can bring down enterprise applications, or at least compromise availability or performance. These forces in combination have already outstripped the human capacity and intuition to solve infrastructure issues – which may occur routinely or unpredictably.
