Operations | Monitoring | ITSM | DevOps | Cloud

In the recent past, every enterprise has had to deal with an outage, leading to war rooms where ITOps teams are put on the spot. While they take on the burden of ensuring 100% uptime, it is often the tools they employ which don’t live up to their promises. Especially in the wake of the pandemic, with working norms being redefined, ITOps teams have been under even greater pressure to deliver. While they strive to be efficient and rely on cutting-edge technology, uptime is often elusive.

IT environments are getting increasingly complex and can often straddle on-premises gear, private cloud, public and/or multi-cloud, and SaaS environments... oh, and it’s a moving target. Your legacy applications may have to reincarnate in one of these forms with minimal disruption. And when things go wrong, you need all the help and pointers you can get to identify the root source of the problem and what it’s impacting.

Log files are an important source of information about the state of an application and how it’s functioning. Therefore, log management and analysis are critical to application performance monitoring.

As part of our ongoing efforts to offer you the most comprehensive and advanced SDLC protection capabilities, JFrog continues to boost the capabilities of our Xray security and compliance product. In this blog, we offer an overview of recent Xray improvements, all aimed at helping you fortify your software, reduce risk, scale security, streamline compliance and accelerate releases with confidence.

We are pleased to announce the general availability of Icinga installation packages for Red Hat Enterprise Linux, Amazon Linux 2 and SUSE Linux Enterprise Server. We extend the list of supported operating systems to give you even more options where you can run Icinga. At the same time we respond to changes and requirements by operating system vendors.

Over the last few years, our world has become increasingly digital, from streaming and shopping to work and health care. Customers want these digital experiences to be seamless. This has become a key priority for all businesses as well, as they depend on happy customers to drive sales and brand reputation. To ensure these seamless digital experiences, technology teams have doubled down on reliability, user experience, and building new features.

In my previous blog posts on test data management (TDM), I have discussed principles for continuous TDM and outlined how TDM for microservices-based applications differs from traditional applications. In this blog post, the first in a two-part series, I will combine both of these concepts to discuss key approaches for applying continuous TDM to microservices. In my second post, I’ll detail the key steps for applying continuous TDM in various phases of the delivery lifecycle.

For-Each is a new feature added to the DX Unified Infrastructure Management’s (DX UIM) Monitoring Configuration Service (MCS) that uses the device attributes with one or multiple values. MCS will loop through each value and create a profile for each one. If that attribute does not exist for a device, no profile will be created. Similarly, if a new value is added or removed from a device, MCS will revaluate and add or remove profiles.

One of the most challenging and rewarding things I do as a Principal Software Engineer in our Splunk Mobile division is ensuring our customers’ experience meets the quality and standards we promise to keep. My team and I are part of an on-call rotation that is committed to measuring and optimizing key Service Level Indicators (SLIs) using Splunk Real User Monitoring (RUM) and Splunk On-Call (iOS & Android) mobile apps.