Operations | Monitoring | ITSM | DevOps | Cloud

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Deploying your Applications in a Repeatable Way on Kubernetes

Helm Charts have proven to be very useful for developers looking to create repeatable deployments of their applications. Rancher, with its built in Helm interface, allows developers to deploy their applications using Helm charts. This training will go over using Rancher's pre-provisioned catalog apps, as well as demonstrate the creation of metadata for custom catalog apps to provide the Rancher questions interface to users who wish to deploy their own Helm Charts.

Installing the EFK Stack with Kubernetes with GKE

The ELK Stack (Elasticsearch, Logstash and Kibana) is the weapon of choice for many Kubernetes users looking for an easy and effective way to gain insight into their clusters, pods and containers. The “L” in “ELK” has gradually changed to an “F” reflecting the preference to use Fluentd instead of Logstash and making the “EFK Stack” a more accurate acronym for what has become the de-facto standard for Kubernetes-native logging.

How to Troubleshoot Java Application Slowness Using Java Transaction Tracing

The performance of any application is measured by its availability and responsiveness. When an application is slow, IT operations staff must troubleshoot the cause of slowness, identify it and resolve it. While application performance problems may be caused by issues in the supporting infrastructure, often the issues are related to the application components themselves.

Spring 2019 Release Overview: The Intelligent Enterprise

In today’s always-on digital world, business stakeholders and technical responders across the enterprise must understand the health of their digital services at all times so they can take action immediately when disruptions happen. Yet with operational complexity increasing by 3x per responder on average over the past three years, it’s becoming increasingly difficult for teams to make sense of data and surface meaningful insights to improve digital operations.

The Sales Slip-Ups That Are Holding Your MSP Back

Recurring revenue is the Holy Grail for managed service providers. Unfortunately, it’s an area of the business that most MSPs struggle with. They can’t sell enough new clients, don’t attract the right types of clients, or can’t command the right price. I’ve devoted the last 20 years of my life to understanding, mastering, and teaching others the keys to growing recurring revenue and increasing profitability. Here’s where I see most MSPs falling off the rails.

Logging Your Cloud Foundry Apps to LogDNA

Cloud Foundry Application Runtime is an open source platform as a service (PaaS) for running applications and services. Frequently called simply “Cloud Foundry,” the Cloud Foundry Application Runtime (CFAR) is one of many interoperable projects within the Cloud Foundry family. For the purposes of this post, “Cloud Foundry” refers to the Application Runtime.

How to monitor 1,000 network devices using Sensu Go and Ansible (in under 10 minutes)

Network monitoring at scale is an age-old problem in IT. In this post, I’ll discuss a brief history of network monitoring tools — including the pain points of legacy technology when it came to monitoring thousands of devices — and share my modern-day solution using Sensu Go and Ansible.

New Product Launch: PagerDuty Vacations

Today, PagerDuty is pleased to announce our long-awaited solution for making on-call life better: PagerDuty Vacations. PagerDuty Vacations is a revolutionary new approach to managing team health and incentivizing engineers to join on-call rotations. For people on an on-call rotation, life can be incredibly stressful. Being woken up in the middle of the night, interruptions during family dinners, and canceled weekend plans are just a few of the common ways that being on call can lead to burnout.

Data Lake. What are we talking about?

Data! More data! What is Data Lake? Big Data is not only a more or less fashionable marketing “word”, but also contains a quite clear concept: the accumulation and processing of enormous amounts of data in order to take advantage of the knowledge they may contain. So far so good: it’s easy to describe (not so easy to do, though).