Combining the forces of ITSM and ITOM is one of the best decisions IT organizations can make to deliver on the promise of keeping the business always on. Think of it this way, can a motorcycle run its course without being subject to proper care and maintenance? A motorcycle helps you get from point A to point B, but to keep doing that, you need to maintain it in good condition and good health.
The financial services industry has evolved at an astonishing rate in recent years, underpinned by rapid advances in technology. Financial institutions (FIs) are digitising their customer journeys and scaling-up transformation. Cloud is a catalyst for enterprise business transformation and is a focus for C-suite executives and board members of financial services organisations.
With the Kafka Summit fast approaching, I thought it was time to get my hands dirty and see what it’s all about. As an advocate for IoT, I heard about Kafka but was too embedded in protocols like MQTT to investigate further. For the uninitiated (like me) both protocols seem extremely similar if not almost competing. However, I have learned this is far from the case and actually, in many cases, they complement one another.
Quite often it has been seen that employees do not find their assets at the location where they left them. These types of scenarios are extremely dangerous for business as they can be harmful to your business by decreasing the productivity of the organization and employees' productivity as well. How? When employees do not find the required asset, they spend their time looking for assets. Even after spending a lot of time looking for assets, employees do not find them.
BigPanda offers a diverse set of APIs to enterprises looking to move faster and scale incident response workflows seamlessly. APIs are core to automating repeated incident response workflows that enable IT Ops to keep up with the pace of change and innovation agile teams need to thrive. In Q4 of 2021, BigPanda announced the general availability of new self-service APIs including an updated Incidents API.
DevOps: Development and Operations joined together in perfect harmony, one feeding the other and vice-versa. That's the dream. But it's easy for the link between the two to be broken. 'Dev' stops talking to 'Ops,' or Ops falls out with Dev, often because of a lack of understanding of each other's goals. That's where Monitoring and Observability come in. They're like the mediators whose job is to make sure the two main players in DevOps keep that metaphorical dialogue open.
We hear a lot of questions from folks taking their first steps into website monitoring about how the service works and what we offer. One of the more frequently asked questions is why they need us at all. After all, they have metrics from XYZ provider who can tell them if they have consumed too much bandwidth or are overloaded with traffic. Wouldn’t they just know that they were up or down by watching those metrics?
