With the winter holidays fast approaching, many retail businesses are turning their focus to hypercare as they prepare to move goods and services at peak levels. But what is hypercare? Here at PagerDuty, we use the following working definition: Hypercare is the period of time where an elevated level of support is available to ensure the seamless adoption or operation of a system.
In the beginning we, as Humanity, created computers. We said “let it be electricity” and it was the light on our ballistic trajectory calculations. We saw the numbers matched and they were good. And we called the set of calculation instructions as “programs”, which were loaded straight into computer memories. And so was the first computing decade. GNU Linux commands didn’t exist yet, because there were no operating systems either.
Let’s start off with some good news: since 7.9.0, your Elastic Workplace Search deployment has been collecting and logging product usage data for you and your team. Usage data like, what your users are searching for, what links they're actually clicking on, and which searches are falling short. And better yet, in a future release we’ll be putting a prebuilt Workplace Search analytics dashboard at your fingertips in Kibana, one of the most powerful visualization tools available.
We're excited to announce that indices created in Elasticsearch 7.10 will be smaller. Bigger isn't always better, and our internal benchmarks reported space reductions up to 10%. This may not seem like much for small use cases, but it's huge for teams handling (and paying for cloud storage of) petabytes of data.
Gartner recently released their top strategic technology trends for 2021. It’s no surprise that these trends reflect what many of us and our organizations have been experiencing, dealing with ongoing challenges during this global pandemic.
The concept of a microservice perfectly fits the structure of a serverless function, which easily enables deployment and runtime isolation for different services. On the storage side, services such as DynamoDB also make it easier to have independent databases for each microservice and scale them independently (when required or desirable). Before we dive into details, please consider whether the benefits of Microservices abundantly outweigh its disadvantages for your particular project and team.
This short guide for conducting successful big data analysis will take you through a couple of the most essential tips to help you learn how to analyse data & become a better data analyst by avoiding rookie mistakes and embracing the correct mindset to get the most from your data. We’ll also cover some of ways that conducting effective data analysis can help your organisation.
With an ever growing list of infrastructure improvements, new features, and issues to debug, setting up your observability tools to keep up with best practices can fall down your list of priorities. There’s simply not enough time to set up new dashboards that can give you the visibility you need to be proactive with your infrastructure.
It’s budgeting season for many of us. As a result, capacity planning and cost justification for hardware purchases are likely on your mind. But don’t fear, because Galileo has you covered. We’ve curated a bunch of our most popular and helpful resources for your capacity planning project, and they’re all here in one handy place.
Today, AWS has announced AWS Network Firewall: a new managed service that makes it easy to deploy essential network protections for Amazon Virtual Private Clouds (VPCs). As a launch partner, Splunk has worked closely with AWS to provide customers an integration to AWS Network Firewall. In today’s blog, co-authored by my esteemed colleague Anush Jayaraman, we’ll first detail the data flow architecture and your options to ingest the AWS Network Firewall data.
