The pressure to ship quickly is greater than ever before. But for many organizations, including the U.S. Air Force, security and compliance concerns severely limit their ability to quickly adopt and integrate new technologies, putting teams at risk of being locked into approved vendors and missing out on critical innovations. In order break the cycle of slow-moving development, Platform One, the U.S.

We just got some great news. IDC has ranked Splunk #1 for both market share and market revenue in their IDC Worldwide IT Operations Analytics Software Market Shares, 2019 report. This is the sixth year in a row IDC has ranked Splunk as #1 in ITOA. While we’re proud of this recognition, let me say right away that our success is due to the continued success of our customers, and we’re very grateful for the opportunity to be a part of it.

Amazon EKS is the most popular managed Kubernetes solution. DevOps teams can quickly spin up clusters in the cloud and get started with Kubernetes in a few clicks. As organizations embrace Kubernetes in the cloud, the challenge becomes managing clusters across multiple regions or accounts. At that point, organizations struggle to visualize all of their clusters.

In November 2018, chip manufacturer Broadcom announced the completion of its $18.9 billion purchase of infrastructure software company, CA Technologies. While CA’s enterprise software division has seen many changes after the acquisition, the products in their AIOps and Observability portfolio consist of operational intelligence, application performance management, network monitoring, and infrastructure monitoring.

Despite the lockdown restrictions of the last six months, I'm delighted to announce that we've released Rancher 2.5 on schedule today. This latest release represents another major milestone of Rancher's "Computing Everywhere" strategy by delivering management capabilities that match the extraordinary popularity of Amazon EKS and our lightweight Kubernetes distribution, K3s.

CI and CD tools are popular for a good reason. They help us automate the application lifecycle, fully or partially. However, the problem is that, in some cases, we are moving away from the core principles behind the CI and CD processes. Products on the market tend to “bend” the definitions of what CI and CD are so that their products can get “yet another sticker”. This is an attempt to bring sanity into the insane situation in which everything and nothing are CI and CD.

As COVID-19 cases began to rise around the world in March 2020, governments and businesses had no choice but to take extraordinary measures to flatten the curve. As an IT leader, you were likely tasked with helping entire companies transition to remote work all at once. Cubicles were replaced by home offices. Face-to-face meetings were replaced by video calls. Work performance was measured by tasks completed instead of hours worked. Digital connectivity became more important than ever before.

The ability of Kubernetes to easily deploy and manage containerized software has given organizations tremendous capabilities in their cloud services, with clusters multiplying into the hundreds or thousands and extending out to the edge for any number of purposes. But its growing popularity has also led to challenges in managing complexity in an environment that is conducive to cluster sprawl.

At InfluxData, we’re obsessed with time to awesome — how quickly can you start working productively with time series data? What can we do to make things better? InfluxDB Templates are a great example of this mindset. Back in April, we announced Templates as a way to package up everything you need to monitor a particular technology — Telegraf configurations and InfluxDB Dashboards, Tasks, Alerts, and related artifacts — into a single configuration file.

When I first started following Charity on Twitter back in early 2019, I was quickly overwhelmed by the new words and concepts she was discussing. I liked the results she described: faster debugging, less alert fatigue, happier users. Those are all things I wanted for my team! But I was hung up on these big polysyllabic words, which stopped me from taking those first steps toward improving our own observability.