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Introducing: Observability for Cloud & Containers

Are you currently dealing with complex and fast-changing Cloud & Container environments? If your answer to that question is yes, then you are probably looking for an easy solution that gives you complete control to make sense of all these fast and complex IT environments. In the dynamic world of microservices and containers, traditional monitoring solutions are no longer sufficient to provide needed visibilities to maintain healthy and happy environments.

Google Cloud Kubernetes: Deploy Your First Cluster on GKE

Google, the original developer of Kubernetes, also provides the veteran managed Kubernetes service, Google Kubernetes Engine (GKE). GKE is easy to set up and use, but can get complex for large deployments or when you need to support enterprise requirements like security and compliance. Read on to learn how to take your first steps with GKE, get important tips for daily operations and learn how to simplify enterprise deployments with Rancher.

ANNOUNCEMENT - Stackery Expands Serverless Security and Continuous Delivery Capabilities

Today, Stackery is announcing enhanced security and continuous integration and delivery (CI/CD) capabilities that enable teams to automate delivery best practices from laptop to production. With additional audit capabilities, scoped IAM permissions, and secrets management for automated verification and deployment pipelines, Stackery helps teams scale serverless usage and accelerate modernization and innovation projects.

The Anatomy of a Secure Serverless Platform - Delivery

I recently joined Stackery from Puppet: a company that specializes in great automation software for the globe’s biggest enterprise IT operations teams. I had the privilege of learning from folks doing the best work of their life to automate the provisioning, configuration, and maintenance of infrastructure that enables teams of developers to move fast and make a difference for their business.

The Importance of Cloud Performance and Security Platforms

Work, education, and even many of our leisure activities have all moved on-line at an incredible pace due to current social distancing mandates. The digital backbone of the Internet and the SaaS services that drive our personal and professional lives are now foundational. Ensuring that these systems are operating optimally and securely is of paramount importance.

Early-detection of Potential Sources of Failure in Serverless

We recently wrote about why serverless applications fail and how to design resilient architectures. Being able to detect early-stage failure indicators can be invaluable. With proper monitoring, developers move from waiting for the system to crash and adopt a more proactive attitude in managing resource allocation and architecture design to avoid bottlenecks and performance degradation.

Cloud Service Monitoring with GroundWork Cloud Hub

Cloud Computing Services like AWS, Google Cloud and Microsoft Azure are revolutionizing IT infrastructures at a rapid rate. However, businesses have not completely adopted Cloud services, and many of us are still running hybrid on-premise and cloud solutions. The GroundWork solution is to unify all monitoring, whether it be on-premise or in the cloud.

Leveraging EC2 tagging for continuous optimization of containerized workloads

Ocean by Spot delivers a serverless container experience by managing the underlying cloud infrastructure. It automates the scale up/down and management of spot instances, reserved capacity and on-demand instances (as needed) within a cluster. Ocean accomplishes this with a fundamental construct called Launch Specification.

Granular Control Over Scale-Down For Mission-Critical ECS Services

Managing highly efficient ECS clusters requires balancing between overprovisioning, which drives costs up, and underprovisioning, which result in performance issues and pending tasks. Fortunately, Ocean by Spot provides ECS users with an automated, serverless experience. Its proprietary autoscaler leverages just the right blend of type, size, and lifecycle of container instances, for an optimally utilized cluster.