Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes monitoring can be complex. To do it successfully requires several components to be monitored simultaneously. First, it’s important to understand what those components are, which metrics should be monitored and what tools are available to do so. In this post, we’ll take a close look at everything you need to know to get started with monitoring your Kubernetes-based system.

IT asset management (ITAM) is one of the most crucial strategies for businesses to practice. If 2020 had you shuffling monitors and laptops all over the country, 2021 isn’t going to make things any easier. Next year looks to bring all new sets of challenges for tracking, maintaining, and budgeting for the assets that your IT organization has not had their hands on in almost a year.

In July, we rolled out SolarWinds® Papertrail™ support for SAML v2.0. SAML authentication allows you to log into your Active Directory® domain or intranet and have immediate access to Papertrail, with no additional login required. Today we’re extending Papertrail SAML 2.0 support to include group mapping. Group mapping allows you to define organization and product roles, and grant access to logs and billings plans, by adding an account to an identify provider group.

DigitalOcean droplets provide low-cost scale from a popular server provider. With DigitalOcean Monitoring, you can collect metrics for visibility, monitor Droplet performance, and receive alerts when problems arise in your infrastructure. But when you need to deep dive into your application to debug an issue, resolve an incident, or identify opportunities to improve your platform, you need a deep understanding of the underlying operating system and how it interacts within its environment.

In the evolving world of IT monitoring, I see that many organizations want to move to predictive monitoring. They usually allocate a significant budget for this type of effort that ultimately fails to yield the desired return on investment. Often, organizations are already collecting and processing large amounts of IT telemetry streams and using multiple solutions to monitor their systems. So, predictive monitoring seems like the logical next step.

Research firm IDC has recently published an infographic (check it out below!) outlining the new requirements for modern software distribution and key guidance for organizations to meet future needs and overcome the bottlenecks in the next era of large-scale application delivery. With the advent of DevOps and modern delivery practices, organizations are becoming better at rapidly developing and deploying new applications to better serve their customers and stay competitive in today’s digital age.

It took about twenty-three years, a couple of IPv6 days, the exhaustion of most of the IPv4 address pools available at Regional Internet Registries (RIRs), and the increase of prices in IPv4 address market, but finally, it looks like IPv6 made it and met one important threshold in November 2020 – 100k IPv6 prefixes are now currently announced on the Internet!

2020 has been a year like no other. Our dependency on digital services has reached new heights, leaving many companies trying to accelerate transformation initiatives while simultaneously keeping said digital services running perfectly. The ITOps and DevOps teams on the front line of this struggle are facing more pressure than ever. With the holiday season now in full swing, that strain will only grow as virtual festivities and online shopping pick up the pace.

Every CEO is looking for an edge. Every change in IT — whether we’re talking about the move away from company owned data centers to VMs, or the latest digital transformation we’re seeing today — has always been about gaining a strategic advantage. Companies want to do more at a lower cost, and they want the freedom to pivot quickly without fixed costs.

While JavaScript frameworks come and go, a change has been brewing over the last several years that will permanently change what it means to be a modern developer: how our code goes from our laptops to the wild.