Software Spend and the 80/20 Rule
A common theme running through a variety of management techniques and methodologies, everything from Agile to Lean to Six Sigma is the Pareto Principle – also known as the 80/20 rule.
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The latest News and Information on Cost Management and related technologies.
How To Create A Cloud Center Of Excellence (CCOE)
Establishing a Cloud Center of Excellence (CCOE) is an important milestone in every company’s cloud computing journey. While it is usually not the first milestone — which is focused on delivering value to customers — this milestone is reached as the company grows and scales. Turning ad-hoc cloud initiatives into a company-wide strategy, the CCOE helps the business to manage the cloud process and adopt best practices.
K8s Strategy: Optimizing Kubernetes Resources
Three reasons you need optimization for your K8s resources: Watch this training now and learn how you can start optimizing the compute resources that power your Kubernetes environments.
What Is Amazon ElastiCache? Everything You Should Know
Rolled out in 2011, AWS ElastiCache has grown to become one of the most prominent Amazon services among developers. So much so that in the 2020 Stack Overflow Developer Survey, one of its fully-managed engines was voted by developers as the most loved database. On the flip side, however, AWS ElastiCache happens to be infamous for its high costs. Although it offers a flexible pricing system that charges you only for what you use, the usage bill can get pretty high for some users.
Cloud Cost Management Tools Have A Bad Rap: Here's How We're Different
As a cloud cost intelligence platform, we spend nearly every day talking to companies about their cloud cost — and there’s something we’ve noticed — people don’t generally have the warm and fuzzies for their cloud cost management tools. You know, the ones that have been around for a while, that you use to build reports about your cloud spend? We won’t refer to them by name. These popular tools have really given the whole category a bit of a bad rap.
How to Optimize Your Cloud Spend Using Observability
The rise of public cloud services has enabled businesses to innovate faster, scale effortlessly, and adopt more advanced technologies easier than ever before. However, there’s a dark side to using public cloud services: complexity and cost. Public cloud services can scale to handle almost any workload, but in doing so, they can quickly generate unpredictable costs for your business.
Cut cloud cost spending with a tool that works
More and more, we see our clients moving their workloads from clunky on-premise data centers to nimble cloud platforms, orchestrated container environments, such as Kubernetes and Red Hat OpenShift, or a combination of both. The technical aspects of such a migration are typically well-known. Your IT staff does a great job managing these environments: Still, there is one more aspect of managing these environments that is often overlooked — cost.
Capacity Operations for Kubernetes
Kubernetes adds undeniable benefits when it comes to flexibility and agility, but providing suboptimal resource specifications at the container or node level creates tremendous inefficiencies at scale, leaving resources stranded and utilization very low. Learn how the practice of Capacity Operations can augment DevOps and FinOps initiatives and enable greater agility for your operations organization.
How To Control Cloud Cost and Complexity with Managed Auto-Scaling
The promise of autoscaling is that workloads receive exactly the cloud computational resources they require at any given time, and you only pay for the server resources you need, when you need them.
Big Data Cloud Performance Monitoring In The Cloud: Best Practices
Monitoring big data cloud performance in the cloud with unified visibility across the entire ecosystem is critical to the success of any cloud deployment. In both the data center and cloud deployments, a proliferation of diverse performance solutions and microservice applications across infrastructures and networks can severely complicate cluster performance management. Hidden network dependencies and the complexity of managing many different solutions can negatively impact the application experience for both internal and external users.