If you’re a person who works from home, you almost certainly have to deal with occasional internet connection issues. More often than complete outages, you’re likely dealing with occasional slowness. And you know from experience that any one of dozens of devices and services along the path can cause latency.
Like any great technology, the interest in and adoption of Kubernetes (an excellent way to orchestrate your workloads, by the way) took off as cloud native and containerization grew in popularity. With that came a lot of confusion. Everyone was using Kubernetes to move their workloads, but as they went through their journey to deployment, they weren’t thinking about security until they got to production.
Preventing data loss for data in motion is a challenge that LogStream Persistent Queues (PQ) can help prevent when the downstream Destination is unreachable. In this blog post, we’ll talk about how to configure and calculate PQ sizing to avoid disruption while the Destination is unreachable for few minutes or a few hours. The example follows a real-world architecture, in which we have.
PagerDuty is excited to introduce Round Robin Scheduling. Round Robin Scheduling allows teams to equitably distribute on-call shift responsibilities amongst team members. Automatically assigning new incidents across different users or on-call schedules on an escalation level ensures that teams are resolving incidents as efficiently as possible. And, by balancing the workload across multiple users, there’s less risk of burnout.
In the past, we’ve written about what instrumentation is and the insights it provides. Instrumenting your code generates telemetry that shows you how your system is performing, and whether your system is healthy. Like with most other companies, at Honeycomb we don’t write all of the code that runs in our systems.
As we kick off a new year, so does new and refreshed thinking in the public sector. With another full year of lessons learned from the pandemic, public sector leaders will apply these insights in the way they execute their documented data strategies. Synthesizing what we see and hear from our stakeholders, below are five of the needle movers we see in public sector data strategy execution.
In this article, we will cover the basics of a Lambda function and its functionality in our every day digital lives. AWS Lambda, as we already know, is a compute service that allows you to run code without managing servers. AWS Lambda runs the code when it is needed, and it is automatically scaled. The code you execute on AWS Lambda is called Lambda function, and it can be considered, for better understanding, as a formula in a spreadsheet.
If you are not familiar with CloudFormation, an easy way to define it is AWS CloudFormation is an AWS service that uses template files to automate the setup of resources. It can also be described as an infrastructure automation or Infrastructure-as-Code (IaC) tool. You can use CloudFormation to automate the configuration of workloads that run on the most popular AWS services, including their managed Kubernetes offering, the Elastic Kubernetes Service, or EKS.
