In the Kubernetes (K8s) community, there is a huge misconception about CPU allocation and utilization. Even highly experienced SREs find themselves struggling with the way Kubernetes allocates CPU resources, leading to misconfigured CPU allocations and extremely negative outcomes. For starters, this results in significant quality degradation on important service components, introduced by behind-the-scenes CPU limiting (or throttling).
March saw many of the big tech companies have technical issues with their products and services. But the biggest one was by far the colossal Google; Google Maps experienced the much dreaded website downtime impacting thousands of users across the globe. It was reported online that Google Maps had suffered a partial outage meaning that many couldn’t access the location tool, but why and more importantly, how?
After a two-year hiatus, Datadog customer summits are back. And what better place to begin in-person again than in sunny Denver, Colorado!
Changes in the way organizations consume technology are reflected in the growth of the software-as-a-service (SaaS) market.
As we previously discussed in the Automating Your Cloud Security Posture Management (CSPM) Response blog post, CSPM is a vital component in any environment leveraging cloud services. Whether you are using a single cloud or are in a multi-cloud scenario, the complexity of these cloud platforms is constantly expanding. Staying on top of new changes in policies and functionality to ensure that you are maintaining a secure environment is daunting - and almost impossible to do without automation. No one has the resources to spend on maintaining a large team of cloud specialists who just audit everything that is in use.
We are all moving towards a digital workplace - or a hybrid work scenario. Whatever be the case, you can expect end-users to call and complain about a poor WiFi experience. That's because network monitoring needs to be done from their standpoint, not from the enterprise end. And without the correct WiFi observability data, it's challenging to narrow down the root cause of the problem affecting remote employees. And those problems - poor WiFi performance leading to poor digital experience - can be pervasive and persistent.
