Operations | Monitoring | ITSM | DevOps | Cloud

Metrics storage engines must be specially engineered to accommodate the quirks of metrics time-series data. Prometheus is probably the most popular metrics storage engine today, powering numerous services including our own Logz.io Infrastructure Monitoring. But Prometheus was not enough for Slack given their web-scale operation. They set out to design a new storage engine that can yield 10x more write throughput, and 3x more read throughput than Prometheus! In February 2022 Suman Karumuri, Sr.

Elastic released a major version of its platform on February 10, 2022. Version 8.0.0 is the latest major version. There has already been a new minor release to version 8.1.0, and there are anticipated minor and patch releases coming as Elastic rolls out new features and fixes. The latest release is the first significant revision since April 2019, when version 7.0.0 was generally available. Users can find a complete list of release notes on the Elastic website.

Remote network monitoring is a technical specialty that was born almost at the same time as networks themselves. Since then, many strategies have emerged when it comes to monitoring network elements. In this article we will talk about the current techniques based on SNMP polling and network statistic collection through Netflow, and we will also mention outdated systems such as RMON. Most techniques are purpose-oriented, so they are especially useful.

In this blog, we will be introducing the concept of High-performance computing (HPC) and HPC clusters. We will also introduce a few categories of practical workloads important in the HPC space. This blog is a part of a series of blogs on HPC where we will introduce you to the world of HPC.

I’m excited to announce that Ivanti is the recipient of not one, not two, but three “Best-Of” awards from Expert Insights for Spring 2022. Expert Insights’ Best-Of Awards are designed to recognize cloud technology providers across multiple software categories including cloud software, security, and storage.

Data masking is a technique of hiding sensitive data from certain users who should not be able to view or access the actual values. This post will look at the reasons why you might choose to implement data masking and discuss both dynamic and static data masking techniques, and when it is appropriate to use each of these.

State and local governments have always had to get a little creative when it comes to efficiently managing the government IT budget—they have to ensure they can stretch those dollars as far as they’ll go. However, inefficient network management practices are only adding to the challenges of local government IT modernization, and sucking the life out of their information technology budget.

Many Telegraf and InfluxDB users often spend a lot of time finding that perfect balance of getting the data they want in while not writing in too much data that they have to deal with unnecessary data in their database. This blog post will give you a better understanding of Telegraf’s data collection settings and help you fine-tune your configuration.

To embed or not to embed: That is the question. At least, that’s one of the questions that companies have to answer as they decide how to implement Site Reliability Engineering. They can either embed SREs into existing teams, or they can build a new, separate SRE team. Both approaches have their pros and cons. The right strategy for your company or team depends, of course, on your needs and priorities.

Another conversation that was recently had during our weekly field enablement office hours here at Shipa was “what exactly is a microservice?”. Certainly, a term that has been used to describe a paradigm and architectural practice. One can argue that the breaking down or decomposing of applications has been going on for decades and is not a monumental shift in computing. There are several definitions of microservices from a purist definition to a definition resembling a movement.