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Does Your Team Know What Your Code Is Doing Right Now?

Software development teams are much larger than the engineers that write code. Writing and deploying code are often only the tip of the iceberg. A well oiled software team will often consist of: All of these people need to know something about what the software development lifecycle is producing and shipping, but the level of information can vary dramatically based on a team member's position. Sleuth was built to automatically generate information to satisfy each team member's needs.

Dashboards Beta App: What's New in v0.4

If you haven’t yet heard...Splunk dashboards are new and improved! We released a new dashboard framework as a beta app at .conf19, and have been working hard to improve it since then. This blog post will cover the highest-impact features in the release. For notes on every feature, see the release notes on Splunkbase. To see a run-anywhere dashboard highlighting the key features from this release, copy the JSON definition from our Github.

The U.S. Census: Driving Decisions With Data for 230 Years

After Article I of the United States Constitution establishes the legislative power of Congress, it briefly describes the process for determining the number of representatives for each state. That process, called “Apportionment,” is based on the decennial (every 10 years) census — a survey of the population of the nation that gives lawmakers an understanding of the size and composition of the population.

Make the most of shadow IT: balancing rules and culture

Shadow IT – tech used in an organization that is not administered by that organization’s IT department – accounts for the majority of the cloud tech at most companies. Understandably, the risk this implies might keep a security pro up at night; Gartner estimated in 2016 that by 2020, a third of successful attacks experienced by enterprises will be on their shadow IT resources.

New in Grafana 6.6: Forcing minimum alert evaluation frequency

There has long been a request from administrators to have the ability to enforce a minimum interval between alert rule evaluations. This is useful for restricting unrealistic user-defined alert rules that evaluate too often and create unnecessary load in the backend. @Uepoch took the initiative and made all the necessary modifications for this configuration in Grafana’s backend, and we finally pushed it forward and introduced the feature in Grafana v6.6.

GDPR Compliance Step 1: Data Erasure and Portability

Recently, a StatusGator user on our 30 day free trial contacted us to inquire if StatusGator was GDPR compliant. The General Data Protection Regulation, or GDPR, is the European Union’s regulation that grants rights and requirements over personal data. Although we’ve been following the GDPR and its rollout for some time now, we haven’t taken active steps to comply with its requirements. We are based in the United States and don’t actively target European customers.

SquaredUp for Azure version 4.5

We are excited to announce the release of new versions of our two flagship products: SquaredUp for Azure version 4.5 and SquaredUp for SCOM version 4.5. Our product engineering teams have been working hard on the first big update since the launch of SquaredUp for Azure in November 2019, and have added some great new features and improvements based on customer feedback, including these beautiful cost visualizations…

Azure Storage Queue vs Service Bus Queue

There are two types of queuing mechanisms supported by Azure. Storage Queues are part of the Azure Storage infrastructure, feature a simple REST-based GET/PUT/PEEK interface, providing reliable, persistent messaging within and between services. Service Bus Queues are part of a broader Azure messaging infrastructure that supports queuing as well as publish/subscribe mechanism, and more advanced integration patterns.

3 Reasons Why Machine Learning Anomaly Detection is Critical for eCommerce

Do you still find yourself visually monitoring dashboards for anomalies? That leaves catching revenue-related issues to chance. It’s become humanly impossible to catch incidents on streaming data. This is why many eCommerce and data-driven companies have adopted automated anomaly detection.