Operations | Monitoring | ITSM | DevOps | Cloud

When the value is obvious, most companies are willing to invest in tools to help employees get their job done better. But over the course of my career, I’ve noticed a few blind spots companies can’t seem to remember when writing out their tech team grocery list. These include things obvious to many, like training, antivirus for all devices, and comprehensive content management; or the more subtle ones like password managers or (yes) monitoring.

The last thing you want to happen is for your server to crash, so understanding alerts and knowing the next step to resolve any issues is key. As one of today’s leading network and server monitoring software, Pandora FMS wants to ensure that when it comes to your servers, you’ll have a smooth landing every time! That’s why below we’ve gathered some of the best practices for dealing with server alerts.

We recently optimized the hell out of our Lighthouse score, and one of our landing pages went from a low 70s score to a cool 96 and above score. Below I describe what started as a quick lunch break peek into the Google Search Console. I recognized that our 'Pingdom alternative' landing page ranks surprisingly well with nearly no investment. BUT the competition was ranking even better. So, why? Common knowledge is that Google-Search is using hundreds of ranking factors.

Managing hundreds or thousands of containers has quickly become the standard for many organizations. With infrastructures growing more complex, we want every user to find value with Elastic (regardless of where or how they operate). We created Elastic Cloud on Kubernetes (ECK) — the official Operator — to simplify setup, upgrades, scaling, and more for running Elasticsearch and Kibana on Kubernetes.

As you probably already know, Step Functions is a serverless Workflow Service provided by Amazon Web Services (AWS). There’s a lot to discuss about this service, and you’ll find plenty of vital information in our AWS Step Functions: The Ultimate Guide as well as in our series of articles that’ll dive deep into various aspects regarding this AWS service.

Using data to predict and prevent IT outages and issues is a growing best practice—especially as advances in monitoring software have made it easier to deliver analytics in a timely manner. IT predictive analytics, once known as IT operations analytics (ITOA), is still nascent in many organizations, but it’s far more streamlined than it used to be when one needed to export data sets to specialized analytics tools such as Tableau or Microsoft PowerBI.

In the inaugural Network Vendor Diversity report, Auvik discovered high diversity in the network devices IT teams and MSPs were managing. In 2019, the data showed complexity continuing to rise as all categories became increasingly fragmented. In the 2020 edition, we look at the same four categories of managed network devices—access points, switches, routers, and firewalls—deployed across a sample of 30,000 networks, and compared the data to both 2018 and 2019.

We’re happy to partner with AWS on their launch of AWS Network Firewall by providing a cloud-native integration that gives customers real-time visibility into network traffic and automated correlated events surfaced by AWS. Too often, virtual private cloud (VPC) traffic is a black box leaving many security operations teams unable to connect potential threats to their broader infrastructure.

Monday, long regarded as the worst day of the week, made good on its reputation for several thousand Slack users a few weeks ago. What started as an initial server problem at Slack during the wee hours of October 5th, devolved into a performance outage that impacted users for more than six hours.

Cybersecurity attacks on industrial IoT solutions can have detrimental consequences. This is the case because IoT devices record privacy-sensitive data and control production assets. Therefore, demonstrable trustworthiness is prerequisite to IoT adoption in industrial settings. Fortunately, IT security is a mature field. Experts have identified classes of threats devices may be subject to. Let’s discuss these threat patterns and mitigation strategies in the IIoT context.