Operations | Monitoring | ITSM | DevOps | Cloud

Monitor Oracle DB in Google Cloud Platform with the Google Ops Agent. The Ops Agent is available on GitHub, and makes it easy to collect and ship telemetry from dozens of sources directly to your Google Cloud Platform. You can check it out here! Below are steps to get up and running quickly with observIQ’s Google Cloud Platform integrations, and monitor metrics and logs from Oracle DB in your Google Cloud Platform.

Building modern, cloud-native applications introduces new challenges to teams and organizations. As these systems grow and scale, struggles abound: inconsistent performance monitoring experiences across siloed tools, wasteful performance management practices with duplicated efforts, and mounting frustration from colleagues and customers. Surmounting these challenges requires multiple sources of data and truly unified observability.

Since introducing BindPlane OP earlier this year, we’ve received a lot of feedback asking for the enterprise features you require to deploy in production. With functionality like SSO, RBAC, and Audit reporting all surfacing to the top of that list. Today we’re launching BindPlane OP Enterprise in beta, which introduces support for LDAP and AD authentication. We’d love for you to try it out and let us know what you think.

Depending on your business, MTTR stands for mean time to repair or mean time to recovery – but it can also mean resolution, resolve, or restore. No matter how you define it, the basic measurement is the same: it’s the time it takes from when something goes down to when it is back and fully functional. This includes everything from finding the problem to fixing it. For ITOps teams, keeping MTTR to an absolute minimum is crucial.

Every security operations center (SOC) team is different, and for smaller teams, even small challenges can seem big. I started my career in cybersecurity as part of a smaller team, and eventually grew into a SOC role. During that time, I gained a good deal of knowledge about the dos and don’ts of what a small SOC team needs to do in order to be successful.

So, what is Universal Profiling™? Universal Profiling™ is fast emerging as an important component of observability. A standard feature inside hyperscalers since approximately 2010, the technology is slowly percolating into the wider industry. Universal Profiling™ allows you to see what your code is doing all the time, in production across a wide range of languages and can profile both user-space and kernel-space code.

The United States is the #1 target for cybersecurity attacks in the world. 38% of targeted cybersecurity attacks so far in 2022 were aimed at the United States data and systems. That’s alarming. And we see it in the news almost every day. Solarwinds, Colonial Pipeline, The Pulse Secure VPN zero-day… There’s an increasing number of threats and attacks, to the tune of 15.1% year over year.

From its inception as a powerhouse for logging, Elastic Observability has grown into a comprehensive solution for full-stack multi and hybrid-cloud observability. Given the increasing complexity of the cloud-native world, the major challenge for observability is twofold: getting deeper and more frictionless visibility at all levels of applications, services, and infrastructure, and making sense of the overwhelming amount of data that is available.

The Cambridge English Dictionary defines a silo as “a part of a company, organization, or system that does not communicate with, understand, or work well with other parts.” Siloing can exist at various organizational levels: siloed departments, siloed teams within a department, and even siloed engineers within a team. In any industry, siloing can cause issues with alignment, communications, and overall delivery, but in fintech, there are additional risks.