Operations | Monitoring | ITSM | DevOps | Cloud

GitKraken Git GUI v7.3: GitHub Issue Tracking Integration

Mighty Keif the Kraken has reached across the interweb to join tentacles with his good friend Mona the Octocat once again. 🦑🤝🐙 But this time, it’s all about the issues. The GitKraken Git GUI now supports issue tracking integrations for GitHub and GitHub Enterprise! If you already use GitKraken to manage your GitHub repositories, optimize your workflow even further with new benefits offered in GitKraken Git GUI v7.3.

Popular community plugins that can improve your Grafana dashboards

One thing we believe at Grafana Labs is that your data should be presented in a way that makes sense to you. Since the release of Grafana v7.0, we’ve seen a lot more developers taking advantage of the new plugins platform, which helps them build high-quality custom plugins faster than ever.

High-resolution user-defined metrics in Cloud Monitoring

Higher resolution metrics are critical for monitoring dynamically changing environments and rapidly changing application metrics. Examples where high resolution metrics are critical include high volume e-commerce, live streaming, autoscaling bursty workloads on Kubernetes clusters, and more. Higher resolution custom, Prometheus, and agent metrics are now generally available, and can be written at a granularity of 10 seconds. Previously these metric types could only be written once every 60 seconds.

Deploying Citrix ADC with Service Mesh on Rancher

As a network of microservices changes and grows, the interactions between them can be difficult to manage and understand. That’s why it’s handy to have a service mesh as a separate infrastructure layer. A service mesh is an approach to solving microservices at scale. It handles routing and terminating traffic, monitoring and tracing, service delivery and routing, load balancing, circuit breaking and mutual authentication.

Continuing to Execute During Uncertain and Challenging Times

We are rapidly approaching the six-month mark of the COVID-19 global pandemic and expect to be living with its effects for the foreseeable future. While our Ribbon business has not been immune from this once in a lifetime public health crisis, together we have managed it very effectively and kept our customers first! This is largely due to the extraordinary efforts of our people, along with the quick actions and decisions we took to change our work model and carefully manage expenses.

Security Policy Self-Service for Developers and DevOps Teams

In today’s economy, digital assets (applications, data, and processes) determine business success. Cloud-native applications are designed to iterate rapidly, creating rapid time-to-value for businesses. Organizations that are able to rapidly build and deploy their applications have significant competitive advantage.

Takehan Technologies - Expanding Business in Asia Pacific with Catchpoint

Takehan Technologies builds, operates, and innovates software for a variety of European and North American businesses – such as those in online gaming and fintech. The Singapore-based software consultancy has decades of experience in the Asia Pacific region. The digital landscape of the region has more or less been challenged by the policies and unique web ecosystem built and supported by China.

Pandora FMS SNMP trap monitoring

As network technology evolves, the SNMP world evolves with it. They create new network hardware that contains more and more OIDs to be able to stay updated on the status of more details of the product. This entails the need to automate the way to control every detail, doing it through the use of SNMP trap monitoring. An SNMP trap is a message sent by an SNMP device to a configurable IP address when there’s a change or an event on the device.

Slow and steady: How to build custom grok patterns incrementally

In our blog post on structuring Elasticsearch data with grok on ingest for faster analytics, we took a look at how to structure unstructured data on ingest (schema on write) to make sure your analytics run at near real time. Speed like that can help take your observability use cases to the next level. In this article, we’re going to build on what we learned by incrementally creating a new grok pattern from scratch!